DDI_UGA_2018_MIS_v01_M Development Economics Data Group 2020-04-27 NADA Version 01 (April 2020). Metadata is excerpted from "Uganda Malaria Indicator Survey 2018-19" Report. Malaria Indicator Survey 2018 - 2019 MIS / UMIS 2018-19 UGA_2018_MIS_v01_M National Malaria Control Division (NMCD) Uganda Bureau of Statistics (UBOS) ICF NADA Government of Uganda United States Agency for International Development United Kingdom Department for International Development Global Fund Information about The DHS Program General Inquiries Data and Data Related Resources Malaria Indicator Survey [hh/mis] The Malaria Indicator Survey (MIS) was developed by the Monitoring and Evaluation Working Group (MERG) of Roll Back Malaria, an international partnership developed to coordinate global efforts to fight malaria. A stand-alone household survey, the MIS collects national and regional or provincial data from a representative sample of respondents. The 2018-19 Uganda Malaria Indicator Survey (UMIS) is the third MIS conducted in Uganda after the 2009 UMIS and 2014-15 UMIS. The 2018-19 UMIS used a nationally representative sample of 320 clusters and about 8,960 households. The data dictionary was generated from hierarchical data that was downloaded from the The DHS Program website (http://dhsprogram.com). The 2018-19 Uganda Malaria Indicator Survey (UMIS) used a nationally representative sample of 320 clusters and about 8,960 households.. The survey is designed to provide estimates of key malaria indicators for the country as a whole, urban and rural areas separately, each of the 15 regions, and refugee settlements. The primary objective of the 2018-19 UMIS is to provide up-to-date estimates of basic demographic and health indicators related to malaria. Specifically, the 2018-19 UMIS collected information on vector control interventions such as mosquito nets and indoor residual spraying of insecticides, on intermittent preventive treatment of malaria in pregnant women, on care seeking and treatment of fever in children, and malaria knowledge, behaviour, and practices. Children less than age 5 were tested for anaemia and malaria infection. The information collected through the 2018-19 UMIS is intended to assist policy makers and programme managers in evaluating and designing programmes and strategies for improving the health of the country’s population. Uganda National coverage - Household - Individual - Children age 0-5 - Woman age 15-59 Sample survey data [ssd] The 2018-19 Uganda Malaria Indicator Survey covered the following topics: HOUSEHOLD • Identification • Usual members and visitors in the selected households • Basic information was collected on the characteristics of each person listed in the household, including their age, sex, and relationship to the head of the household. • Characteristics of the household's dwelling unit, such as the source of water, type of toilet facilities, number of rooms, type of fuel used for cooking, main material of the floor, roof and walls of the house, possessions of durable goods (including land), ownership of livestock, etc. • Mosquito nets WOMAN • Identification • Background characteristics (age, residential history, education, literacy, religion, and ethnicity) • Reproductive history for the 6 years before the survey • Prenatal care and preventive malaria treatment for the most recent live birth • Prevalence and treatment of fever among children under age 5 • Knowledge and opinions about malaria (symptoms, causes, how to prevent, and types of antimalarial medications) • Exposure to and sources of messages about malaria BIOMARKER • Identification • Hemoglobin measurement and malaria testing for children age 0-5 Uganda Bureau of Statistics The 2018-19 UMIS followed a two-stage sample design and was intended to allow estimates of key indicators for the following domains: ▪ National ▪ Urban and rural areas ▪ 15 regions ▪ Although they were not included as separate sampling domains, the overall sample size permitted estimates to be produced for the 14 ongoing indoor residual spraying (IRS) intervention districts: Bugiri, Kaberamaido, Koboko, Lira, Otuke, Serere, Tororo, Alebtong, Amolatar, Budaka, Butaleja, Dokolo, Namutumba, and Paliisa and 11 former IRS intervention districts Oyam, Kole, Nwoya, Amuru, Agago, Gulu, Kitgum, Pader, Omoro, Apac, and Lamwo. ▪ Refugee settlements in Adjumani, Arua, Isingiro, Kamwenge, Kiryandongo, Kyegegwa, Lamwo, Moyo, and Yumbe districts were included as a separate sampling domain. The first stage of sampling involved selecting sample points (clusters) from the sampling frames; the nonrefugee areas and the refugee settlements used separate sampling frames. Enumeration areas (EAs) delineated for the 2014 National Population and Housing Census (NPHC) were used as the sampling frame for the non-refugee areas.A sampling frame developed for the National Refugees’ Survey, conducted by UBOS in collaboration with the World Bank and Office of the Prime Minister in early 2018, was used as the frame for the refugee settlement domain. A total of 320 clusters were selected with probability proportional to size from the EAs covered in the 2014 NPHC. Of these clusters, 84 were in urban areas and 236 in rural areas. Urban areas were oversampled within regions in order to produce robust estimates for that domain. A total of 22 clusters were selected with probability proportional to size from the EAs covered in the refugee frame. The second stage of sampling involved systematic selection of households. For the non-refugee areas, a household listing operation was undertaken in all of the selected EAs in November and December 2018, and households to be included in the survey were randomly selected from these lists. In the selected clusters for the refugee settlements domain, listing was undertaken immediately before fieldwork in those clusters. Twenty-eight households were selected from each EA, for a total sample size of 8,878 households. Because of the approximately equal sample sizes in each domain, the sample was not selfweighting at the national level. Note: See Appendix A of the final survey report for additional details on the sampling procedures. Face-to-face [f2f] Three questionnaires—the Household Questionnaire, the Woman’s Questionnaire, and the Biomarker Questionnaire—were used for fieldwork in the 2018-19 UMIS. Core questionnaires available from the Roll Back Malaria (RBM) Monitoring and Evaluation Reference Group (MERG) were adapted to reflect the population and health issues relevant to Uganda. The modifications were decided upon at a series of meetings with various stakeholders from the NMCD and other government ministries and agencies, nongovernmental organisations, and international donors. The questionnaires were in English; UBOS arranged for translation into Luganda, Luo, Lugbara, Ateso, Runyankole/Rukiga, and Runyoro/Rutoro. The Household and Woman’s Questionnaires were programmed onto tablet computers, enabling use of computer-assisted personal interviewing (CAPI) for the survey. The Biomarker Questionnaire was filled out on hard copy and entered into the CAPI system when complete. A fourth questionnaire, the Fieldworker Questionnaire, was adapted from The DHS Program’s standard questionnaire. It was completed by all fieldworkers in the 2018-19 UMIS; its purpose was to collect basic background information on the people who collect data in the field. Twenty-three teams were organised for field data collection with seven people per team. Each team consisted of one supervisor, two health technicians, one interviewer who was also a nurse, two other interviewers, and one driver. The field staff also included a health technician supervisor and four regional laboratory coordinators who followed up with teams to check on and furnish the supplies needed. They also collected slides from the field teams and delivered them to the laboratory at IDRC. UBOS arranged for printing of questionnaires, manuals, consent forms, brochures, and other field forms, and organised field supplies, which included backpacks, identification cards, and the health technicians’ supplies. UBOS coordinated the fieldwork logistics. Field data collection for the 2018-19 UMIS started on 11 December 2018 and finished on 31 January 2019. To ensure maximum supervision, the national monitors, largely members of the technical working group, visited all 23 teams over the entire period of data collection. A spreadsheet containing all sampling parameters and selection probabilities was constructed to facilitate the calculation of sampling weights. Household sampling weights and individual sampling weights were calculated by adjusting the previous calculated weight to compensate household nonresponse and individual nonresponse, respectively. These weights were further normalised at the national level to produce unweighted cases equal to weighted cases for both households and individuals at the national level. The normalised weights are valid for estimation of proportions and means at any aggregation levels, but not valid for estimation of totals. All electronic data files for the 2018-19 UMIS were transferred via ICF’s IFSS to the UBOS central office in Kampala, where they were stored on a password-protected computer. The data processing operation included registering and checking for inconsistencies, incompleteness, and outliers. Data editing and cleaning included structure and consistency checks to ensure completeness of work in the field. The central office also conducted secondary editing, which required resolution of computer-identified inconsistencies and coding of open-ended questions. The data were processed by UBOS staff who took part in the main fieldwork training and were supervised by senior staff from UBOS. The Census and Survey Processing (CSPro) System software package was used for data editing. Secondary editing and data processing were completed in February 2019. A total of 8,878 households selected for the sample in the main survey, 8,448 were occupied at the time of fieldwork. Among the occupied households, 8,351 were successfully interviewed, yielding a total household response rate of 99%. In the interviewed households, 8,389 women were eligible for individual interview, and 8,231 were successfully interviewed, yielding a response rate of 98%. In the refugee settlements, the household response rate was almost 100%, and the response rate among women was 99%. The DHS Program Use of the dataset must be acknowledged using a citation which would include: - the Identification of the Primary Investigator - the title of the survey (including country, acronym and year of implementation) - the survey reference number - the source and date of download Request Dataset Access The following applies to DHS, MIS, AIS and SPA survey datasets (Surveys, GPS, and HIV). To request dataset access, you must first be a registered user of the website. You must then create a new research project request. The request must include a project title and a description of the analysis you propose to perform with the data. The requested data should only be used for the purpose of the research or study. To request the same or different data for another purpose, a new research project request should be submitted. The DHS Program will normally review all data requests within 24 hours (Monday - Friday) and provide notification if access has been granted or additional project information is needed before access can be granted. DATASET ACCESS APPROVAL PROCESS Access to DHS, MIS, AIS and SPA survey datasets (Surveys, HIV, and GPS) is requested and granted by country. This means that when approved, full access is granted to all unrestricted survey datasets for that country. Access to HIV and GIS datasets requires an online acknowledgment of the conditions of use. Required Information A dataset request must include contact information, a research project title, and a description of the analysis you propose to perform with the data. Restricted Datasets A few datasets are restricted and these are noted. Access to restricted datasets is requested online as with other datasets. An additional consent form is required for some datasets, and the form will be emailed to you upon authorization of your account. For other restricted surveys, permission must be granted by the appropriate implementing organizations, before The DHS Program can grant access. You will be emailed the information for contacting the implementing organizations. A few restricted surveys are authorized directly within The DHS Program, upon receipt of an email request. When The DHS Program receives authorization from the appropriate organizations, the user will be contacted, and the datasets made available by secure FTP. GPS/HIV Datasets/Other Biomarkers Because of the sensitive nature of GPS, HIV and other biomarkers datasets, permission to access these datasets requires that you accept a Terms of Use Statement. After selecting GPS/HIV/Other Biomarkers datasets, the user is presented with a consent form which should be signed electronically by entering the password for the user's account. Dataset Terms of Use Once downloaded, the datasets must not be passed on to other researchers without the written consent of The DHS Program. All reports and publications based on the requested data must be sent to The DHS Program Data Archive in a Portable Document Format (pdf) or a printed hard copy. Download Datasets Datasets are made available for download by survey. You will be presented with a list of surveys for which you have been granted dataset access. After selecting a survey, a list of all available datasets for that survey will be displayed, including all survey, GPS, and HIV data files. However, only data types for which you have been granted access will be accessible. To download, simply click on the files that you wish to download and a "File Download" prompt will guide you through the remaining steps. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. RECH0.dta HOUSEHOLD - Household's basic data 9494 51 RECH1.dta HOUSEHOLD - Household Schedule 45767 9 RECH2.dta HOUSEHOLD - Household Characteristics 8957 66 RECH3.dta HOUSEHOLD - Survey specific Household variables 9494 15 RECH6.dta HOUSEHOLD - Children Height/Weight/Hemoglobin 8125 43 RECHMH.dta HOUSEHOLD - Malaria: by Household Member 45767 26 RECHML.dta HOUSEHOLD - Malaria: by Mosquito Bed Net 20134 32 REC01.dta WOMAN - Respondent's basic data 9032 39 REC11.dta WOMAN - Respondent's basic data (continued) 8868 43 REC21.dta WOMAN - Reproduction and Birth History 8427 23 REC22.dta WOMAN - Reproduction (continued) 8868 23 REC41.dta WOMAN - Maternity 4826 52 REC42.dta WOMAN - Health and Breastfeeding 8868 19 REC4A.dta WOMAN - Child's health 7124 42 REC44.dta WOMAN - Child's Height and Weigh 7124 15 REC81.dta WOMAN - Characteristics of Interview 8868 8 RECML.dta WOMAN - Malaria 7124 69 REC91.dta WOMAN - Country specific variables 9032 68 REC94.dta WOMAN - Country specific Maternity variables 4826 13 FWRECORD.dta Fieldworker record 136 34 Case Identification Case Identification Case Identification Case Identification Case Identification Country code and phase Country code and phase Country code and phase Country code and phase Country code and phase Cluster number Cluster number Cluster number Cluster number Cluster number Household number Household number Household number Household number Household number Respondent's line number (answering Household questionnaire) Respondent's line number (answering Household questionnaire) Respondent's line number (answering Household questionnaire) Respondent's line number (answering Household questionnaire) Respondent's line number (answering Household questionnaire) Incomplete household Ultimate area unit Ultimate area unit Ultimate area unit Ultimate area unit Ultimate area unit Household sample weight (6 decimals) Household sample weight (6 decimals) Household sample weight (6 decimals) Household sample weight (6 decimals) Household sample weight (6 decimals) Month of interview Month of interview Month of interview Month of interview Month of interview Year of interview Year of interview Year of interview Year of interview Year of interview Date of interview (CMC) Date of interview (CMC) Date of interview (CMC) Date of interview (CMC) Date of interview (CMC) Date of interview Century Day Code (CDC) Date of interview Century Day Code (CDC) Date of interview Century Day Code (CDC) Date of interview Century Day Code (CDC) Date of interview Century Day Code (CDC) Number of household members Number of household members Number of household members Number of household members Number of household members Number of eligible women in household Number of eligible women in household Number of eligible women in household Number of eligible women in household Number of eligible women in household NA - Number of eligible men in household NA - Number of eligible men in household NA - Number of eligible men in household NA - Number of eligible men in household NA - Number of eligible men in household Number of de jure members Number of de jure members Number of de jure members Number of de jure members Number of de jure members Number of de facto members Number of de facto members Number of de facto members Number of de facto members Number of de facto members Number of children 5 and under (de jure) Number of children 5 and under (de jure) Number of children 5 and under (de jure) Number of children 5 and under (de jure) Number of children 5 and under (de jure) Result of household interview Result of household interview Result of household interview Result of household interview Result of household interview 1 Completed 2 No Household member/no competent member at home 3 Entire Household absent for extended period of time 4 Postponed 5 Refused 6 Dwelling vacant or address not a dwelling 7 Dwelling destroyed 8 Dwelling not found 9 Other Day of interview Day of interview Day of interview Day of interview Day of interview Number of visits Number of visits Number of visits Number of visits Number of visits Interviewer identification Interviewer identification Interviewer identification Interviewer identification Interviewer identification NA - Keyer identification NA - Keyer identification NA - Keyer identification NA - Keyer identification NA - Keyer identification Ever-married sample Ever-married sample Ever-married sample Ever-married sample Ever-married sample All woman sample 1 Ever married sample Primary sampling unit Primary sampling unit Primary sampling unit Primary sampling unit Primary sampling unit Sample strata for sampling errors Sample strata for sampling errors Sample strata for sampling errors Sample strata for sampling errors Sample strata for sampling errors 1 Kampala 2 South Buganda 3 North Buganda 4 Busoga 5 Bukedi 6 Bugisu 7 Teso 8 Karamoja 9 Lango 10 Acholi 11 West Nile 12 Bunyoro 13 Tooro 14 Ankole 15 Kigezi 16 Refugee settlements Stratification used in sample design Stratification used in sample design Stratification used in sample design Stratification used in sample design Stratification used in sample design 1 Kampala 2 South Buganda 3 North Buganda 4 Busoga 5 Bukedi 6 Bugisu 7 Teso 8 Karamoja 9 Lango 10 Acholi 11 West Nile 12 Bunyoro 13 Tooro 14 Ankole 15 Kigezi 16 Refugee settlements Region Region Region Region Region 1 Kampala 2 South Buganda 3 North Buganda 4 Busoga 5 Bukedi 6 Bugisu 7 Teso 8 Karamoja 9 Lango 10 Acholi 11 West Nile 12 Bunyoro 13 Tooro 14 Ankole 15 Kigezi Type of place of residence Type of place of residence Type of place of residence Type of place of residence Type of place of residence 1 Urban 2 Rural 3 Refugee NA - Place of residence NA - Place of residence NA - Place of residence NA - Place of residence NA - Place of residence Capital, large city 1 Small city 2 Town 3 Countryside Household selected for male interview Household selected for male interview Household selected for male interview Household selected for male interview Household selected for male interview Not selected 1 Men's survey 2 Husband's survey Household weight for male subsample (6 decimals) Household weight for male subsample (6 decimals) Household weight for male subsample (6 decimals) Household weight for male subsample (6 decimals) Household weight for male subsample (6 decimals) Field supervisor Field supervisor Field supervisor Field supervisor Field supervisor NA - Field editor NA - Field editor NA - Field editor NA - Field editor NA - Field editor NA - Office editor NA - Office editor NA - Office editor NA - Office editor NA - Office editor Number of eligible children for height and weight Number of eligible children for height and weight Number of eligible children for height and weight Number of eligible children for height and weight Number of eligible children for height and weight Cluster altitude in meters Cluster altitude in meters Cluster altitude in meters Cluster altitude in meters Cluster altitude in meters Total adults measured Total adults measured Total adults measured Total adults measured Total adults measured Household selected for hemoglobin Household selected for hemoglobin Household selected for hemoglobin Household selected for hemoglobin Household selected for hemoglobin Not selected 1 Selected Language of questionnaire Language of questionnaire Language of questionnaire Language of questionnaire Language of questionnaire 1 English 2 Luganda 3 Luo 4 Lugbara 5 Ateso 6 Runyankole/Rukiga 7 Runyoro/Rutoro 96 Other Language of interview Language of interview Language of interview Language of interview Language of interview 1 English 2 Luganda 3 Luo 4 Lugbara 5 Ateso 6 Runyankole/Rukiga 7 Runyoro/Rutoro 96 Other Native language of respondent Native language of respondent Native language of respondent Native language of respondent Native language of respondent 1 English 2 Luganda 3 Luo 4 Lugbara 5 Ateso 6 Runyankole/Rukiga 7 Runyoro/Rutoro 96 Other Translator used Translator used Translator used Translator used Translator used No 1 Yes Time interview started (hhmm - 24 hour clock) Time interview started (hhmm - 24 hour clock) Time interview started (hhmm - 24 hour clock) Time interview started (hhmm - 24 hour clock) Time interview started (hhmm - 24 hour clock) Time interview ended (hhmm - 24 hour clock) Time interview ended (hhmm - 24 hour clock) Time interview ended (hhmm - 24 hour clock) Time interview ended (hhmm - 24 hour clock) Time interview ended (hhmm - 24 hour clock) Length of interview in minutes Length of interview in minutes Length of interview in minutes Length of interview in minutes Length of interview in minutes 95 95+ 96 2+ visits 97 Inconsistent Number of visits for biomarker Number of visits for biomarker Number of visits for biomarker Number of visits for biomarker Number of visits for biomarker Day of biomarker visit Day of biomarker visit Day of biomarker visit Day of biomarker visit Day of biomarker visit Month of biomarker visit Month of biomarker visit Month of biomarker visit Month of biomarker visit Month of biomarker visit Year of biomarker visit Year of biomarker visit Year of biomarker visit Year of biomarker visit Year of biomarker visit Date of biomarker (CMC) Date of biomarker (CMC) Date of biomarker (CMC) Date of biomarker (CMC) Date of biomarker (CMC) Date of biomarker Century Day Code (CDC) Date of biomarker Century Day Code (CDC) Date of biomarker Century Day Code (CDC) Date of biomarker Century Day Code (CDC) Date of biomarker Century Day Code (CDC) Case Identification Case Identification Case Identification Case Identification Case Identification Line number Line number Line number Line number Line number Relationship to head Relationship to head Relationship to head Relationship to head Relationship to head 1 Head 2 Wife or husband 3 Son/daughter 4 Son/daughter-in-law 5 Grandchild 6 Parent 7 Parent-in-law 8 Brother/sister 9 Co-spouse 10 Other relative 11 Adopted/foster/stepchild 12 Not related 13 Niece/nephew by blood 14 Niece/nephew by marriage 98 Don't know Usual resident Usual resident Usual resident Usual resident Usual resident No 1 Yes Slept last night Slept last night Slept last night Slept last night Slept last night No 1 Yes Sex of household member Sex of household member Sex of household member Sex of household member Sex of household member 1 Male 2 Female Age of household members Age of household members Age of household members Age of household members Age of household members 95 95+ 98 Don't know Eligibility for female interview Eligibility for female interview Eligibility for female interview Eligibility for female interview Eligibility for female interview Not eligible 1 Eligible Children eligibility for height/weight and hemoglobin Children eligibility for height/weight and hemoglobin Children eligibility for height/weight and hemoglobin Children eligibility for height/weight and hemoglobin Children eligibility for height/weight and hemoglobin Not eligible 1 Eligible Case Identification Case Identification Case Identification Case Identification Case Identification Source of drinking water Source of drinking water Source of drinking water Source of drinking water Source of drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 Piped to neighbor 14 Public tap/standpipe 20 TUBE WELL WATER 21 Tube well or borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE FROM SPRING 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irrigation channel 51 Rainwater 61 Tanker truck 63 Bicycle with jerrycans 71 Bottled water 72 Sachet water 96 Other Source of non-drinking water Source of non-drinking water Source of non-drinking water Source of non-drinking water Source of non-drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 Piped to neighbor 14 Public tap/standpipe 20 TUBE WELL WATER 21 Tube well or borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE FROM SPRING 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irrigation channel 51 Rainwater 61 Tanker truck 62 Cart with small tank 63 Bicycle with jerrycans 71 Bottled water 96 Other NA - Water not available for at least a day last two weeks NA - Water not available for at least a day last two weeks NA - Water not available for at least a day last two weeks NA - Water not available for at least a day last two weeks NA - Water not available for at least a day last two weeks No, not interrupted for a full day 1 Yes, interrupted for a full day or more 8 Don't know Time to get to water source (minutes) Time to get to water source (minutes) Time to get to water source (minutes) Time to get to water source (minutes) Time to get to water source (minutes) 996 On premises 998 Don't know Type of toilet facility Type of toilet facility Type of toilet facility Type of toilet facility Type of toilet facility 10 FLUSH TOILET 11 Flush to piped sewer system 12 Flush to septic tank 13 Flush to pit latrine 14 Flush to somewhere else 15 Flush, don't know where 20 PIT TOILET LATRINE 21 Ventilated Improved Pit latrine (VIP) 22 Pit latrine with slab 23 Pit latrine without slab/open pit 30 NO FACILITY 31 No facility/bush/field 41 Composting toilet 42 Bucket toilet 43 Hanging toilet/latrine 96 Other Has electricity Has electricity Has electricity Has electricity Has electricity No 1 Yes Has radio Has radio Has radio Has radio Has radio No 1 Yes Has television Has television Has television Has television Has television No 1 Yes Has refrigerator Has refrigerator Has refrigerator Has refrigerator Has refrigerator No 1 Yes Has bicycle Has bicycle Has bicycle Has bicycle Has bicycle No 1 Yes Has motorcycle/scooter Has motorcycle/scooter Has motorcycle/scooter Has motorcycle/scooter Has motorcycle/scooter No 1 Yes Has car/truck Has car/truck Has car/truck Has car/truck Has car/truck No 1 Yes Main floor material Main floor material Main floor material Main floor material Main floor material 10 NATURAL 11 Earth/sand 12 Dung 20 RUDIMENTARY 21 Wood planks 22 Palm/bamboo 30 FINISHED 31 Parquet or polished wood 32 Concrete 33 Ceramic tiles 34 Cement 35 Carpet 36 Stones 37 Bricks 96 Other Main wall material Main wall material Main wall material Main wall material Main wall material 10 NATURAL 11 No walls 12 Thatched/straw 13 Dirt 20 RUDIMENTARY 21 Poles with mud 22 Stone with mud 23 Unburnt bricks with mud 24 Plywood 25 Cardboard 26 Reused wood 27 Unburnt bricks with plaster 28 Burnt bricks with mud 30 FINISHED 31 Cement 32 Stone with lime/cement 33 Burnt bricks with cement 34 Cement blocks 35 Unburnt bricks with cement 36 Wood planks/shingles 96 Other Main roof material Main roof material Main roof material Main roof material Main roof material 10 NATURAL 11 No roof 12 Thatch/palm leaf 13 Mud 20 RUDIMENTARY 21 Rustic mat 22 Tins 23 Wood planks 24 Cardboard 25 Tarpaulin 30 FINISHED 31 Iron sheets 32 Wood 33 Asbestos 34 Tiles 35 Concrete 36 Roofing shingles 96 Other Number of rooms used for sleeping Number of rooms used for sleeping Number of rooms used for sleeping Number of rooms used for sleeping Number of rooms used for sleeping Relationship structure Relationship structure Relationship structure Relationship structure Relationship structure No adults 1 One adult 2 Two adults, opposite sex 3 Two adults, same sex 4 Three+ related adults 5 Unrelated adults Line number of head of household Line number of head of household Line number of head of household Line number of head of household Line number of head of household Sex of head of household Sex of head of household Sex of head of household Sex of head of household Sex of head of household 1 Male 2 Female Age of head of household Age of head of household Age of head of household Age of head of household Age of head of household 97 97+ 98 Don't know Has telephone (land-line) Has telephone (land-line) Has telephone (land-line) Has telephone (land-line) Has telephone (land-line) No 1 Yes Share toilet with other households Share toilet with other households Share toilet with other households Share toilet with other households Share toilet with other households No 1 Yes Type of cooking fuel Type of cooking fuel Type of cooking fuel Type of cooking fuel Type of cooking fuel 1 Electricity 2 LPG/Cylinder gas 3 Natural gas 4 Biogas 5 Kerosene 6 Coal, lignite 7 Charcoal 8 Wood 9 Straw/shrubs/grass 10 Agricultural crop 11 Animal dung 95 No food cooked in house 96 Other Has mosquito bed net for sleeping Has mosquito bed net for sleeping Has mosquito bed net for sleeping Has mosquito bed net for sleeping Has mosquito bed net for sleeping No 1 Yes Children under 5 slept under mosquito bed net last night Children under 5 slept under mosquito bed net last night Children under 5 slept under mosquito bed net last night Children under 5 slept under mosquito bed net last night Children under 5 slept under mosquito bed net last night No 1 All children 2 Some children 3 No net in household Location of source for water Location of source for water Location of source for water Location of source for water Location of source for water 1 In own dwelling 2 In own yard/plot 3 Elsewhere Number of households sharing toilet Number of households sharing toilet Number of households sharing toilet Number of households sharing toilet Number of households sharing toilet 95 10 or more households 98 Don't know Has mobile telephone Has mobile telephone Has mobile telephone Has mobile telephone Has mobile telephone No 1 Yes Has watch Has watch Has watch Has watch Has watch No 1 Yes Has animal-drawn cart Has animal-drawn cart Has animal-drawn cart Has animal-drawn cart Has animal-drawn cart No 1 Yes Has boat with a motor Has boat with a motor Has boat with a motor Has boat with a motor Has boat with a motor No 1 Yes Has a computer Has a computer Has a computer Has a computer Has a computer No 1 Yes Owns land usable for agriculture Owns land usable for agriculture Owns land usable for agriculture Owns land usable for agriculture Owns land usable for agriculture No 1 Yes Hectares of agricultural land (1 decimal) Hectares of agricultural land (1 decimal) Hectares of agricultural land (1 decimal) Hectares of agricultural land (1 decimal) Hectares of agricultural land (1 decimal) 950 95 or more 998 Unknown Owns livestock, herds or farm animals Owns livestock, herds or farm animals Owns livestock, herds or farm animals Owns livestock, herds or farm animals Owns livestock, herds or farm animals No 1 Yes NA - Owns cattle NA - Owns cattle NA - Owns cattle NA - Owns cattle NA - Owns cattle None 95 95 or more 98 Unknown NA - Owns cows/ bulls NA - Owns cows/ bulls NA - Owns cows/ bulls NA - Owns cows/ bulls NA - Owns cows/ bulls None 95 95 or more 98 Unknown Owns horses/ donkeys/ mules Owns horses/ donkeys/ mules Owns horses/ donkeys/ mules Owns horses/ donkeys/ mules Owns horses/ donkeys/ mules None 95 95 or more 98 Unknown Owns goats Owns goats Owns goats Owns goats Owns goats None 95 95 or more 98 Unknown Owns sheep Owns sheep Owns sheep Owns sheep Owns sheep None 95 95 or more 98 Unknown Owns chickens/poultry Owns chickens/poultry Owns chickens/poultry Owns chickens/poultry Owns chickens/poultry None 95 95 or more 98 Unknown Owns exotic/cross-breed cattle Owns exotic/cross-breed cattle Owns exotic/cross-breed cattle Owns exotic/cross-breed cattle Owns exotic/cross-breed cattle None 95 95 or more 98 Unknown Owns local cattle Owns local cattle Owns local cattle Owns local cattle Owns local cattle None 95 95 or more 98 Unknown Owns pigs Owns pigs Owns pigs Owns pigs Owns pigs None 95 95 or more 98 Unknown NA - Owns CS NA - Owns CS NA - Owns CS NA - Owns CS NA - Owns CS None 95 95 or more 98 Unknown NA - Owns CS NA - Owns CS NA - Owns CS NA - Owns CS NA - Owns CS None 95 95 or more 98 Unknown Has bank account Has bank account Has bank account Has bank account Has bank account No 1 Yes Has dwelling been sprayed against mosquitoes in last 12 months Has dwelling been sprayed against mosquitoes in last 12 months Has dwelling been sprayed against mosquitoes in last 12 months Has dwelling been sprayed against mosquitoes in last 12 months Has dwelling been sprayed against mosquitoes in last 12 months No 1 Yes 8 Don't know Dwelling sprayed by: government worker/program Dwelling sprayed by: government worker/program Dwelling sprayed by: government worker/program Dwelling sprayed by: government worker/program Dwelling sprayed by: government worker/program No 1 Yes 8 Don't know Dwelling sprayed by: private company Dwelling sprayed by: private company Dwelling sprayed by: private company Dwelling sprayed by: private company Dwelling sprayed by: private company No 1 Yes 8 Don't know Dwelling sprayed by: NGO Dwelling sprayed by: NGO Dwelling sprayed by: NGO Dwelling sprayed by: NGO Dwelling sprayed by: NGO No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS NA - Dwelling sprayed by: CS No 1 Yes 8 Don't know Dwelling sprayed by: other Dwelling sprayed by: other Dwelling sprayed by: other Dwelling sprayed by: other Dwelling sprayed by: other No 1 Yes 8 Don't know Dwelling sprayed by: don't know Dwelling sprayed by: don't know Dwelling sprayed by: don't know Dwelling sprayed by: don't know Dwelling sprayed by: don't know No 1 Yes: don't know who sprayed the dwelling 8 Don't know if it was sprayed Wealth index combined Wealth index combined Wealth index combined Wealth index combined Wealth index combined 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score combined (5 decimals) Wealth index factor score combined (5 decimals) Wealth index factor score combined (5 decimals) Wealth index factor score combined (5 decimals) Wealth index factor score combined (5 decimals) Wealth index for urban/rural Wealth index for urban/rural Wealth index for urban/rural Wealth index for urban/rural Wealth index for urban/rural 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score for urban/rural (5 decimals) Wealth index factor score for urban/rural (5 decimals) Wealth index factor score for urban/rural (5 decimals) Wealth index factor score for urban/rural (5 decimals) Wealth index factor score for urban/rural (5 decimals) Number of mosquito bed nets Number of mosquito bed nets Number of mosquito bed nets Number of mosquito bed nets Number of mosquito bed nets 98 Don't know Number of mosquito bed nets with specific information Number of mosquito bed nets with specific information Number of mosquito bed nets with specific information Number of mosquito bed nets with specific information Number of mosquito bed nets with specific information Number of children under mosquito bed net previous night Number of children under mosquito bed net previous night Number of children under mosquito bed net previous night Number of children under mosquito bed net previous night Number of children under mosquito bed net previous night Case Identification Case Identification Case Identification Case Identification Case Identification District District District District District 101 Kalangala 102 Kampala 103 Kiboga 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 115 Mityana 116 Nakaseke 117 Buikwe 120 Buvuma 121 Gomba 122 Kalungu 123 Kyankwanzi 124 Lwengo 125 Kyotera 126 Kassanda 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 225 Bulambuli 226 Buyende 227 Kibuku 228 Kween 229 Luuka 230 Namayingo 231 Ngora 232 Serere 233 Butebo 234 Namisindwa 235 Bugweri 236 Kapelebyong 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Maracha 321 Oyam 322 Agago 323 Alebtong 324 Amudat 325 Kole 326 Lamwo 327 Napak 328 Nwoya 329 Otuke 330 Zombo 331 Omoro 332 Pakwach 333 Kwania 334 Nabilatuk 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 409 Masindi 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura 421 Kiryandongo 422 Kyegegwa 423 Mitooma 424 Ntoroko 426 Sheema 427 Kagadi 428 Kakumiro 429 Rubanda 430 Rukiga 431 Bunyangabu 432 Kikuube Refugee settlements Refugee settlements Refugee settlements Refugee settlements Refugee settlements Not in refugee settlement 1 Refugee settlement Has cassette/CD/DVD player Has cassette/CD/DVD player Has cassette/CD/DVD player Has cassette/CD/DVD player Has cassette/CD/DVD player No 1 Yes Has table Has table Has table Has table Has table No 1 Yes Has chair Has chair Has chair Has chair Has chair No 1 Yes Has sofa set Has sofa set Has sofa set Has sofa set Has sofa set No 1 Yes Has bed Has bed Has bed Has bed Has bed No 1 Yes Has cupboard Has cupboard Has cupboard Has cupboard Has cupboard No 1 Yes Has clock Has clock Has clock Has clock Has clock No 1 Yes Has boat without a motor Has boat without a motor Has boat without a motor Has boat without a motor Has boat without a motor No 1 Yes Months ago dwelling was last sprayed Months ago dwelling was last sprayed Months ago dwelling was last sprayed Months ago dwelling was last sprayed Months ago dwelling was last sprayed Less than 1 month ago Paid for dwelling to be sprayed Paid for dwelling to be sprayed Paid for dwelling to be sprayed Paid for dwelling to be sprayed Paid for dwelling to be sprayed No 1 Yes 8 Don't know CHW/CMD/VHT who distributes malaria medicine in community CHW/CMD/VHT who distributes malaria medicine in community CHW/CMD/VHT who distributes malaria medicine in community CHW/CMD/VHT who distributes malaria medicine in community CHW/CMD/VHT who distributes malaria medicine in community No 1 Yes 8 Don't know CHW currently has malaria medicine available CHW currently has malaria medicine available CHW currently has malaria medicine available CHW currently has malaria medicine available CHW currently has malaria medicine available No 1 Yes 8 Don't know Case Identification Case Identification Case Identification Case Identification Case Identification Index to Household Schedule Index to Household Schedule Index to Household Schedule Index to Household Schedule Index to Household Schedule Child's age in months Child's age in months Child's age in months Child's age in months Child's age in months Child's age in days Child's age in days Child's age in days Child's age in days Child's age in days Day of birth Day of birth Day of birth Day of birth Day of birth 97 Inconsistent 98 Don't know Date measured (day) Date measured (day) Date measured (day) Date measured (day) Date measured (day) Date measured (month) Date measured (month) Date measured (month) Date measured (month) Date measured (month) Date measured (year) Date measured (year) Date measured (year) Date measured (year) Date measured (year) Century Day Code (CDC) of measurement Century Day Code (CDC) of measurement Century Day Code (CDC) of measurement Century Day Code (CDC) of measurement Century Day Code (CDC) of measurement Fieldworker measurer code Fieldworker measurer code Fieldworker measurer code Fieldworker measurer code Fieldworker measurer code Sex Sex Sex Sex Sex 1 Male 2 Female Month of birth Month of birth Month of birth Month of birth Month of birth 97 Inconsistent 98 Don't know Year of birth Year of birth Year of birth Year of birth Year of birth 9997 Inconsistent 9998 Don't know Date of birth (CMC) Date of birth (CMC) Date of birth (CMC) Date of birth (CMC) Date of birth (CMC) Century Day Code (CDC) of birth Century Day Code (CDC) of birth Century Day Code (CDC) of birth Century Day Code (CDC) of birth Century Day Code (CDC) of birth Completeness of HC32 information Completeness of HC32 information Completeness of HC32 information Completeness of HC32 information Completeness of HC32 information Month, year and day 1 Month and year - information complete 2 Month and age - year imputed 3 Year and age - month imputed 5 Year - age/month imputed 6 Age - year/month imputed 7 Month - age/year imputed 8 None - all imputed Line number of parent/caretaker Line number of parent/caretaker Line number of parent/caretaker Line number of parent/caretaker Line number of parent/caretaker Not in household Read consent statement - hemoglobin Read consent statement - hemoglobin Read consent statement - hemoglobin Read consent statement - hemoglobin Read consent statement - hemoglobin 1 Granted 2 Refused 3 Not present/other Hemoglobin level (g/dl - 1 decimal) Hemoglobin level (g/dl - 1 decimal) Hemoglobin level (g/dl - 1 decimal) Hemoglobin level (g/dl - 1 decimal) Hemoglobin level (g/dl - 1 decimal) 994 Not present 995 Refused 996 Other Result of measurement - hemoglobin Result of measurement - hemoglobin Result of measurement - hemoglobin Result of measurement - hemoglobin Result of measurement - hemoglobin Measured 3 Not present/other 4 Refused 6 Other Hemoglobin level adjusted for altitude (g/dl - 1 decimal) Hemoglobin level adjusted for altitude (g/dl - 1 decimal) Hemoglobin level adjusted for altitude (g/dl - 1 decimal) Hemoglobin level adjusted for altitude (g/dl - 1 decimal) Hemoglobin level adjusted for altitude (g/dl - 1 decimal) 997 Inconsistent Anemia level Anemia level Anemia level Anemia level Anemia level 1 Severe 2 Moderate 3 Mild 4 Not anemic NA - Agrees to referral - anemia NA - Agrees to referral - anemia NA - Agrees to referral - anemia NA - Agrees to referral - anemia NA - Agrees to referral - anemia No 1 Yes Mother's line number (woman's questionnaire) Mother's line number (woman's questionnaire) Mother's line number (woman's questionnaire) Mother's line number (woman's questionnaire) Mother's line number (woman's questionnaire) 993 Mother not de facto 994 Incomplete woman's interview 995 Not in household Mother's highest educational level Mother's highest educational level Mother's highest educational level Mother's highest educational level Mother's highest educational level No education 1 Primary 2 Secondary 3 Higher 8 Don't know Mother's highest year of education Mother's highest year of education Mother's highest year of education Mother's highest year of education Mother's highest year of education 98 Don't know Preceding birth interval (months) Preceding birth interval (months) Preceding birth interval (months) Preceding birth interval (months) Preceding birth interval (months) Birth order number Birth order number Birth order number Birth order number Birth order number Mother's highest educational level (for preliminary and final report) Mother's highest educational level (for preliminary and final report) Mother's highest educational level (for preliminary and final report) Mother's highest educational level (for preliminary and final report) Mother's highest educational level (for preliminary and final report) No education 1 Primary 2 'O' level 3 'A' level 4 Tertiary 5 University 8 Don't know Height/Age standard deviation (new WHO) Height/Age standard deviation (new WHO) Height/Age standard deviation (new WHO) Height/Age standard deviation (new WHO) Height/Age standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases Weight/Age standard deviation (new WHO) Weight/Age standard deviation (new WHO) Weight/Age standard deviation (new WHO) Weight/Age standard deviation (new WHO) Weight/Age standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases Weight/Height standard deviation (new WHO) Weight/Height standard deviation (new WHO) Weight/Height standard deviation (new WHO) Weight/Height standard deviation (new WHO) Weight/Height standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases BMI standard deviation (new WHO) BMI standard deviation (new WHO) BMI standard deviation (new WHO) BMI standard deviation (new WHO) BMI standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases Child has any symptoms: extreme weakness Child has any symptoms: extreme weakness Child has any symptoms: extreme weakness Child has any symptoms: extreme weakness Child has any symptoms: extreme weakness No 1 Yes Child has any symptoms: heart problems Child has any symptoms: heart problems Child has any symptoms: heart problems Child has any symptoms: heart problems Child has any symptoms: heart problems No 1 Yes Child has any symptoms: loss of consciousness Child has any symptoms: loss of consciousness Child has any symptoms: loss of consciousness Child has any symptoms: loss of consciousness Child has any symptoms: loss of consciousness No 1 Yes Child has any symptoms: rapid or difficult breathing Child has any symptoms: rapid or difficult breathing Child has any symptoms: rapid or difficult breathing Child has any symptoms: rapid or difficult breathing Child has any symptoms: rapid or difficult breathing No 1 Yes Child has any symptoms: seizures Child has any symptoms: seizures Child has any symptoms: seizures Child has any symptoms: seizures Child has any symptoms: seizures No 1 Yes Child has any symptoms: abnormal bleeding Child has any symptoms: abnormal bleeding Child has any symptoms: abnormal bleeding Child has any symptoms: abnormal bleeding Child has any symptoms: abnormal bleeding No 1 Yes Child has any symptoms: jaundice or yellow skin Child has any symptoms: jaundice or yellow skin Child has any symptoms: jaundice or yellow skin Child has any symptoms: jaundice or yellow skin Child has any symptoms: jaundice or yellow skin No 1 Yes Child has any symptoms: dark urine Child has any symptoms: dark urine Child has any symptoms: dark urine Child has any symptoms: dark urine Child has any symptoms: dark urine No 1 Yes Child has been given malaria medication in past two weeks Child has been given malaria medication in past two weeks Child has been given malaria medication in past two weeks Child has been given malaria medication in past two weeks Child has been given malaria medication in past two weeks No 1 Yes Malaria medication accepted Malaria medication accepted Malaria medication accepted Malaria medication accepted Malaria medication accepted 1 Accepted 5 Refused 6 Other Case Identification Case Identification Case Identification Case Identification Case Identification Mosquito Bed Net Designation Number Mosquito Bed Net Designation Number Mosquito Bed Net Designation Number Mosquito Bed Net Designation Number Mosquito Bed Net Designation Number Net observed by interviewer Net observed by interviewer Net observed by interviewer Net observed by interviewer Net observed by interviewer Not seen 1 Yes, seen Months ago net obtained Months ago net obtained Months ago net obtained Months ago net obtained Months ago net obtained 96 More than 3 years ago 98 Don't know NA - Net treated with insecticide when bought NA - Net treated with insecticide when bought NA - Net treated with insecticide when bought NA - Net treated with insecticide when bought NA - Net treated with insecticide when bought No 1 Yes 8 Don't know NA - Net treatment status NA - Net treatment status NA - Net treatment status NA - Net treatment status NA - Net treatment status Not pretreated 1 Pretreated, permanent treatment 2 Pretreated, requiring future treatment 3 Not pretreated, came with kit and treated at home 4 Pretreated, treatment type not known 6 Other 8 Don't know Brand of net Brand of net Brand of net Brand of net Brand of net 10 Long-lasting insecticide treated nets (LLIN) 11 LLIN - Permanet 2.0 12 LLIN - Permanet 3.0 13 LLIN - Duranet 14 LLIN - Interceptor 15 LLIN - Netprotect 16 LLIN - Olyset 17 LLIN - Olyset plus 18 LLIN - Dawa plus 19 LLIN - Iconlife 20 LLIN - Yorkool 21 LLIN - Magnet 22 LLIN - Other 23 LLIN - Don't know brand 96 Other brand 98 Dont' know brand Net treated since received Net treated since received Net treated since received Net treated since received Net treated since received No 1 Yes 2 Permanent/LLIN net 8 Not sure NA - Time since last re-treatment (months) NA - Time since last re-treatment (months) NA - Time since last re-treatment (months) NA - Time since last re-treatment (months) NA - Time since last re-treatment (months) 95 25+ months ago 96 More than 3 years ago 98 Don't know Insecticide-Treated Net (ITN) Insecticide-Treated Net (ITN) Insecticide-Treated Net (ITN) Insecticide-Treated Net (ITN) Insecticide-Treated Net (ITN) No, don't know 1 Yes Number of persons who slept under this net Number of persons who slept under this net Number of persons who slept under this net Number of persons who slept under this net Number of persons who slept under this net 5 5+ Someone slept under this net last night Someone slept under this net last night Someone slept under this net last night Someone slept under this net last night Someone slept under this net last night No 1 Yes 8 Not sure (DK) Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net No one Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net NA - Line number of person who slept in this net NA - Line number of person who slept in this net NA - Line number of person who slept in this net NA - Line number of person who slept in this net NA - Line number of person who slept in this net Obtained net from campaign, antenatal or immunization visit Obtained net from campaign, antenatal or immunization visit Obtained net from campaign, antenatal or immunization visit Obtained net from campaign, antenatal or immunization visit Obtained net from campaign, antenatal or immunization visit No 1 Yes, campaign 2 Yes, antenatal care 3 Yes, immunization visit Place where net was obtained Place where net was obtained Place where net was obtained Place where net was obtained Place where net was obtained 10 1 11 2 12 3 20 4 21 5 30 6 31 7 32 8 33 9 34 10 36 11 40 12 41 13 42 14 96 15 98 16 Reason net was not used: too hot Reason net was not used: too hot Reason net was not used: too hot Reason net was not used: too hot Reason net was not used: too hot No 1 Yes Reason net was not used: don't like smell Reason net was not used: don't like smell Reason net was not used: don't like smell Reason net was not used: don't like smell Reason net was not used: don't like smell No 1 Yes Reason net was not used: no mosquitos Reason net was not used: no mosquitos Reason net was not used: no mosquitos Reason net was not used: no mosquitos Reason net was not used: no mosquitos No 1 Yes Reason net was not used: net too old/many holes Reason net was not used: net too old/many holes Reason net was not used: net too old/many holes Reason net was not used: net too old/many holes Reason net was not used: net too old/many holes No 1 Yes Reason net was not used: unable to hang Reason net was not used: unable to hang Reason net was not used: unable to hang Reason net was not used: unable to hang Reason net was not used: unable to hang No 1 Yes Reason net was not used: no place to hang Reason net was not used: no place to hang Reason net was not used: no place to hang Reason net was not used: no place to hang Reason net was not used: no place to hang No 1 Yes Reason net was not used: chemicals in net not safe Reason net was not used: chemicals in net not safe Reason net was not used: chemicals in net not safe Reason net was not used: chemicals in net not safe Reason net was not used: chemicals in net not safe No 1 Yes Reason net was not used: saving for rainy season Reason net was not used: saving for rainy season Reason net was not used: saving for rainy season Reason net was not used: saving for rainy season Reason net was not used: saving for rainy season No 1 Yes Reason net was not used: saving to replace other net Reason net was not used: saving to replace other net Reason net was not used: saving to replace other net Reason net was not used: saving to replace other net Reason net was not used: saving to replace other net No 1 Yes Reason net was not used: material too hard/rough Reason net was not used: material too hard/rough Reason net was not used: material too hard/rough Reason net was not used: material too hard/rough Reason net was not used: material too hard/rough No 1 Yes Reason net was not used: usual user didn't sleep here Reason net was not used: usual user didn't sleep here Reason net was not used: usual user didn't sleep here Reason net was not used: usual user didn't sleep here Reason net was not used: usual user didn't sleep here No 1 Yes Reason net was not used: other reason Reason net was not used: other reason Reason net was not used: other reason Reason net was not used: other reason Reason net was not used: other reason No 1 Yes Reason net was not used: don't know Reason net was not used: don't know Reason net was not used: don't know Reason net was not used: don't know Reason net was not used: don't know No 1 Yes Case Identification Case Identification Case Identification Case Identification Case Identification Index to Household Schedule Index to Household Schedule Index to Household Schedule Index to Household Schedule Index to Household Schedule Type of Mosquito Bed Net(s) person slept under last night Type of Mosquito Bed Net(s) person slept under last night Type of Mosquito Bed Net(s) person slept under last night Type of Mosquito Bed Net(s) person slept under last night Type of Mosquito Bed Net(s) person slept under last night Did not sleep under a net 1 Only treated (ITN) nets 2 Both treated (ITN) and untreated nets 3 Only untreated nets Net Designation Number (HMLIDX) for 1st net person slept under last night Net Designation Number (HMLIDX) for 1st net person slept under last night Net Designation Number (HMLIDX) for 1st net person slept under last night Net Designation Number (HMLIDX) for 1st net person slept under last night Net Designation Number (HMLIDX) for 1st net person slept under last night Did not sleep under net Net Designation Number (HMLIDX) for 2nd net person slept under last night Net Designation Number (HMLIDX) for 2nd net person slept under last night Net Designation Number (HMLIDX) for 2nd net person slept under last night Net Designation Number (HMLIDX) for 2nd net person slept under last night Net Designation Number (HMLIDX) for 2nd net person slept under last night NA - Net Designation Number (HMLIDX) for 3rd net person slept under last night NA - Net Designation Number (HMLIDX) for 3rd net person slept under last night NA - Net Designation Number (HMLIDX) for 3rd net person slept under last night NA - Net Designation Number (HMLIDX) for 3rd net person slept under last night NA - Net Designation Number (HMLIDX) for 3rd net person slept under last night Corrected age from Individual file Corrected age from Individual file Corrected age from Individual file Corrected age from Individual file Corrected age from Individual file 97 97+ 98 Don't know Age in months (for children) Age in months (for children) Age in months (for children) Age in months (for children) Age in months (for children) Flag for age from Individual file Flag for age from Individual file Flag for age from Individual file Flag for age from Individual file Flag for age from Individual file No data from Individual file 1 Month and year - information complete 2 Month and age - year imputed 3 Year and age - month imputed 4 Year and age - year ignored 5 Year - age/month imputed 6 Age - year/month imputed 7 Month - age/year imputed 8 None - all imputed Pregnancy status from Individual file Pregnancy status from Individual file Pregnancy status from Individual file Pregnancy status from Individual file Pregnancy status from Individual file Not pregnant, don't know 1 Pregnant Person slept under an ever-treated net Person slept under an ever-treated net Person slept under an ever-treated net Person slept under an ever-treated net Person slept under an ever-treated net No 1 Yes Person slept under an LLIN net Person slept under an LLIN net Person slept under an LLIN net Person slept under an LLIN net Person slept under an LLIN net No 1 Yes Line number of parent/caretaker (for malaria testing) Line number of parent/caretaker (for malaria testing) Line number of parent/caretaker (for malaria testing) Line number of parent/caretaker (for malaria testing) Line number of parent/caretaker (for malaria testing) Not in household Read consent statement for malaria Read consent statement for malaria Read consent statement for malaria Read consent statement for malaria Read consent statement for malaria 1 Granted 2 Parent/other responsible refused 3 Respondent refused 4 Adult/parent not present 5 Minor not present Final result of malaria from blood smear test Final result of malaria from blood smear test Final result of malaria from blood smear test Final result of malaria from blood smear test Final result of malaria from blood smear test Negative 1 Positive 6 Test undetermined 7 Sample not found in lab database Presence of species: falciparum (Pf) Presence of species: falciparum (Pf) Presence of species: falciparum (Pf) Presence of species: falciparum (Pf) Presence of species: falciparum (Pf) No 1 Yes Presence of species: malariae (Pm) Presence of species: malariae (Pm) Presence of species: malariae (Pm) Presence of species: malariae (Pm) Presence of species: malariae (Pm) No 1 Yes Presence of species: ovale (Po) Presence of species: ovale (Po) Presence of species: ovale (Po) Presence of species: ovale (Po) Presence of species: ovale (Po) No 1 Yes Presence of species: vivax (Pv) Presence of species: vivax (Pv) Presence of species: vivax (Pv) Presence of species: vivax (Pv) Presence of species: vivax (Pv) No 1 Yes NA - Presence of species: CS NA - Presence of species: CS NA - Presence of species: CS NA - Presence of species: CS NA - Presence of species: CS No 1 Yes NA - Presence of species: CS NA - Presence of species: CS NA - Presence of species: CS NA - Presence of species: CS NA - Presence of species: CS No 1 Yes NA - Presence of species: CS NA - Presence of species: CS NA - Presence of species: CS NA - Presence of species: CS NA - Presence of species: CS No 1 Yes Result of malaria measurement Result of malaria measurement Result of malaria measurement Result of malaria measurement Result of malaria measurement Measured 3 Not present 4 Refused 6 Other Bar code for blood smear sample Bar code for blood smear sample Bar code for blood smear sample Bar code for blood smear sample Bar code for blood smear sample Result of malaria rapid test Result of malaria rapid test Result of malaria rapid test Result of malaria rapid test Result of malaria rapid test Negative 1 Positive Fieldworker measurer code for malaria Fieldworker measurer code for malaria Fieldworker measurer code for malaria Fieldworker measurer code for malaria Fieldworker measurer code for malaria Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Country code and phase Country code and phase Country code and phase Country code and phase Country code and phase Cluster number Cluster number Cluster number Cluster number Cluster number Household number Household number Household number Household number Household number Respondent's line number Respondent's line number Respondent's line number Respondent's line number Respondent's line number Ultimate area unit Ultimate area unit Ultimate area unit Ultimate area unit Ultimate area unit Women's individual sample weight (6 decimals) Women's individual sample weight (6 decimals) Women's individual sample weight (6 decimals) Women's individual sample weight (6 decimals) Women's individual sample weight (6 decimals) Month of interview Month of interview Month of interview Month of interview Month of interview Year of interview Year of interview Year of interview Year of interview Year of interview Date of interview (CMC) Date of interview (CMC) Date of interview (CMC) Date of interview (CMC) Date of interview (CMC) Date of interview Century Day Code (CDC) Date of interview Century Day Code (CDC) Date of interview Century Day Code (CDC) Date of interview Century Day Code (CDC) Date of interview Century Day Code (CDC) Respondent's month of birth Respondent's month of birth Respondent's month of birth Respondent's month of birth Respondent's month of birth Respondent's year of birth Respondent's year of birth Respondent's year of birth Respondent's year of birth Respondent's year of birth Date of birth (CMC) Date of birth (CMC) Date of birth (CMC) Date of birth (CMC) Date of birth (CMC) Respondent's current age Respondent's current age Respondent's current age Respondent's current age Respondent's current age Age in 5-year groups Age in 5-year groups Age in 5-year groups Age in 5-year groups Age in 5-year groups 1 15-19 2 20-24 3 25-29 4 30-34 5 35-39 6 40-44 7 45-49 Completeness of age information Completeness of age information Completeness of age information Completeness of age information Completeness of age information 1 Month and year - information complete 2 Month and age - year imputed 3 Year and age - month imputed 4 Year and age - year ignored 5 Year - age/month imputed 6 Age - year/month imputed 7 Month - age/year imputed 8 None - all imputed Result of individual interview Result of individual interview Result of individual interview Result of individual interview Result of individual interview 1 Completed 2 Not at home 3 Postponed 4 Refused 5 Partially completed 6 Respondent incapacitated 7 Other Day of interview Day of interview Day of interview Day of interview Day of interview Primary sampling unit Primary sampling unit Primary sampling unit Primary sampling unit Primary sampling unit Sample strata for sampling errors Sample strata for sampling errors Sample strata for sampling errors Sample strata for sampling errors Sample strata for sampling errors 1 Kampala 2 South Buganda 3 North Buganda 4 Busoga 5 Bukedi 6 Bugisu 7 Teso 8 Karamoja 9 Lango 10 Acholi 11 West Nile 12 Bunyoro 13 Tooro 14 Ankole 15 Kigezi 16 Refugee settlements Stratification used in sample design Stratification used in sample design Stratification used in sample design Stratification used in sample design Stratification used in sample design 1 Kampala 2 South Buganda 3 North Buganda 4 Busoga 5 Bukedi 6 Bugisu 7 Teso 8 Karamoja 9 Lango 10 Acholi 11 West Nile 12 Bunyoro 13 Tooro 14 Ankole 15 Kigezi 16 Refugee settlements Region Region Region Region Region 1 Kampala 2 South Buganda 3 North Buganda 4 Busoga 5 Bukedi 6 Bugisu 7 Teso 8 Karamoja 9 Lango 10 Acholi 11 West Nile 12 Bunyoro 13 Tooro 14 Ankole 15 Kigezi Type of place of residence Type of place of residence Type of place of residence Type of place of residence Type of place of residence 1 Urban 2 Rural 3 Refugee NA - De facto place of residence NA - De facto place of residence NA - De facto place of residence NA - De facto place of residence NA - De facto place of residence Capital, large city 1 Small city 2 Town 3 Countryside Number of visits Number of visits Number of visits Number of visits Number of visits Interviewer identification Interviewer identification Interviewer identification Interviewer identification Interviewer identification NA - Keyer identification NA - Keyer identification NA - Keyer identification NA - Keyer identification NA - Keyer identification Field supervisor Field supervisor Field supervisor Field supervisor Field supervisor NA - Field editor NA - Field editor NA - Field editor NA - Field editor NA - Field editor NA - Office editor NA - Office editor NA - Office editor NA - Office editor NA - Office editor NA - Line number of husband NA - Line number of husband NA - Line number of husband NA - Line number of husband NA - Line number of husband Husband not in household Cluster altitude in meters Cluster altitude in meters Cluster altitude in meters Cluster altitude in meters Cluster altitude in meters Household selected for hemoglobin Household selected for hemoglobin Household selected for hemoglobin Household selected for hemoglobin Household selected for hemoglobin Not selected 1 Selected Language of questionnaire Language of questionnaire Language of questionnaire Language of questionnaire Language of questionnaire 1 English 2 Luganda 3 Luo 4 Lugbara 5 Ateso 6 Runyankole/Rukiga 7 Runyoro/Rutoro 96 Other Language of interview Language of interview Language of interview Language of interview Language of interview 1 English 2 Luganda 3 Luo 4 Lugbara 5 Ateso 6 Runyankole/Rukiga 7 Runyoro/Rutoro 96 Other Native language of respondent Native language of respondent Native language of respondent Native language of respondent Native language of respondent 1 English 2 Luganda 3 Luo 4 Lugbara 5 Ateso 6 Runyankole/Rukiga 7 Runyoro/Rutoro 96 Other Translator used Translator used Translator used Translator used Translator used No 1 Yes Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Region Region Region Region Region 1 Kampala 2 South Buganda 3 North Buganda 4 Busoga 5 Bukedi 6 Bugisu 7 Teso 8 Karamoja 9 Lango 10 Acholi 11 West Nile 12 Bunyoro 13 Tooro 14 Ankole 15 Kigezi 16 Refugee settlements Type of place of residence Type of place of residence Type of place of residence Type of place of residence Type of place of residence 1 Urban 2 Rural 3 Refugee settlements Highest educational level Highest educational level Highest educational level Highest educational level Highest educational level No education 1 Primary 2 Secondary 3 Higher Highest year of education Highest year of education Highest year of education Highest year of education Highest year of education No years completed at level V106 Source of drinking water Source of drinking water Source of drinking water Source of drinking water Source of drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 Piped to neighbor 14 Public tap/standpipe 20 TUBE WELL WATER 21 Tube well or borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE FROM SPRING 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irrigation channel 51 Rainwater 61 Tanker truck 62 Cart with small tank 63 Bicycle with jerrycans 71 Bottled water 72 Sachet water 96 Other 97 Not a dejure resident Time to get to water source Time to get to water source Time to get to water source Time to get to water source Time to get to water source 996 On premises 997 Not a dejure resident 998 Don't know Type of toilet facility Type of toilet facility Type of toilet facility Type of toilet facility Type of toilet facility 10 FLUSH TOILET 11 Flush to piped sewer system 12 Flush to septic tank 13 Flush to pit latrine 14 Flush to somewhere else 15 Flush, don't know where 20 PIT TOILET LATRINE 21 Ventilated Improved Pit latrine (VIP) 22 Pit latrine with slab 23 Pit latrine without slab/open pit 30 NO FACILITY 31 No facility/bush/field 41 Composting toilet 42 Bucket toilet 43 Hanging toilet/latrine 96 Other 97 Not a dejure resident Household has: electricity Household has: electricity Household has: electricity Household has: electricity Household has: electricity No 1 Yes 7 Not a dejure resident Household has: radio Household has: radio Household has: radio Household has: radio Household has: radio No 1 Yes 7 Not a dejure resident Household has: television Household has: television Household has: television Household has: television Household has: television No 1 Yes 7 Not a dejure resident Household has: refrigerator Household has: refrigerator Household has: refrigerator Household has: refrigerator Household has: refrigerator No 1 Yes 7 Not a dejure resident Household has: bicycle Household has: bicycle Household has: bicycle Household has: bicycle Household has: bicycle No 1 Yes 7 Not a dejure resident Household has: motorcycle/scooter Household has: motorcycle/scooter Household has: motorcycle/scooter Household has: motorcycle/scooter Household has: motorcycle/scooter No 1 Yes 7 Not a dejure resident Household has: car/truck Household has: car/truck Household has: car/truck Household has: car/truck Household has: car/truck No 1 Yes 7 Not a dejure resident Main floor material Main floor material Main floor material Main floor material Main floor material 10 NATURAL 11 Earth/sand 12 Dung 20 RUDIMENTARY 21 Wood planks 22 Palm/bamboo 30 FINISHED 31 Parquet or polished wood 32 Concrete 33 Ceramic tiles 34 Cement 35 Carpet 36 Stones 37 Bricks 96 Other 97 Not a dejure resident Main wall material Main wall material Main wall material Main wall material Main wall material 10 NATURAL 11 No walls 12 Thatched/straw 13 Dirt 20 RUDIMENTARY 21 Poles with mud 22 Stone with mud 23 Unburnt bricks with mud 24 Plywood 25 Cardboard 26 Reused wood 27 Unburnt bricks with plaster 28 Burnt bricks with mud 30 FINISHED 31 Cement 32 Stone with lime/cement 33 Burnt bricks with cement 34 Cement blocks 35 Unburnt bricks with cement 36 Wood planks/shingles 96 Other 97 Not a dejure resident Main roof material Main roof material Main roof material Main roof material Main roof material 10 NATURAL 11 No roof 12 Thatch/palm leaf 13 Mud 20 RUDIMENTARY 21 Rustic mat 22 Tins 23 Wood planks 24 Cardboard 25 Tarpaulin 30 FINISHED 31 Iron sheets 32 Wood 33 Asbestos 34 Tiles 35 Concrete 36 Roofing shingles 96 Other 97 Not a dejure resident Religion Religion Religion Religion Religion 10 No religion 11 Anglican 12 Catholic 13 Muslim 14 Seventh Day Adventist 15 Orthodox 16 Pentecostal/Born Again/Evangelical 17 Baha'i 18 Baptist 19 Jewish 20 Presbyterian 21 Mammon 22 Hindu 23 Buddhist 24 Jehovah's Witness 25 Salvation Army 26 Traditional 96 Other 99 Missing Ethnicity Ethnicity Ethnicity Ethnicity Ethnicity 511 Acholi 512 Aliba 513 Alur 514 Aringa 515 Baamba 516 Babukusu 517 Babwisi 518 Bafumbira 519 Baganda 520 Bagisu 521 Bagungu 522 Bagwe 523 Bagwere 524 Bahehe 525 Bahororo 526 Bakenyi 527 Bakiga 528 Bakonzo 529 Banyabindi 530 Banyabutumbi 531 Banyankore 532 Banyara 533 Banyaruguru 534 Banyarwanda 535 Banyole 536 Banyoro 537 Baruli 538 Barundi 539 Basamia 540 Basoga 541 Basongora 542 Batagwenda 543 Batoro 544 Batuku 545 Batwa 546 Chope 547 Dodoth 548 Ethur 549 Gimara 550 Ik (Teuso) 551 Iteso 552 Jie 553 Jonam 554 Jopadhola 555 Kakwa 556 Karimojong 557 Kebu (Okebu) 558 Kuku 559 Kumam 560 Lango 561 Lendu 562 Lugbara 563 Madi 564 Mening 565 Mvuba 566 Napore 567 Ngikutio 568 Nubi 569 Nyangia 570 Pokot 571 Reli 572 Sabiny 573 Shana 574 So (Tepeth) 575 Vonoma 996 Other Education in single years Education in single years Education in single years Education in single years Education in single years 97 Inconsistent NA - De facto place of residence NA - De facto place of residence NA - De facto place of residence NA - De facto place of residence NA - De facto place of residence Capital, large city 1 Small city 2 Town 3 Countryside Usual resident or visitor Usual resident or visitor Usual resident or visitor Usual resident or visitor Usual resident or visitor 1 Usual resident 2 Visitor Number of household members (listed) Number of household members (listed) Number of household members (listed) Number of household members (listed) Number of household members (listed) Number of children 5 and under in household (de jure) Number of children 5 and under in household (de jure) Number of children 5 and under in household (de jure) Number of children 5 and under in household (de jure) Number of children 5 and under in household (de jure) Number of eligible women in household (de facto) Number of eligible women in household (de facto) Number of eligible women in household (de facto) Number of eligible women in household (de facto) Number of eligible women in household (de facto) De jure region of residence De jure region of residence De jure region of residence De jure region of residence De jure region of residence Abroad 1 Kampala 2 South Buganda 3 North Buganda 4 Busoga 5 Bukedi 6 Bugisu 7 Teso 8 Karamoja 9 Lango 10 Acholi 11 West Nile 12 Bunyoro 13 Tooro 14 Ankole 15 Kigezi 16 Refugee settlements 97 Not dejure resident De jure type of place of residence De jure type of place of residence De jure type of place of residence De jure type of place of residence De jure type of place of residence Abroad 1 Urban 2 Rural 3 Refugee settlement 7 Not a dejure resident NA - De jure place of residence NA - De jure place of residence NA - De jure place of residence NA - De jure place of residence NA - De jure place of residence Capital, large city 1 City 2 Town 3 Countryside 4 Abroad 7 Not a dejure resident Educational attainment Educational attainment Educational attainment Educational attainment Educational attainment No education 1 Incomplete primary 2 Complete primary 3 Incomplete secondary 4 Complete secondary 5 Higher Relationship to household head Relationship to household head Relationship to household head Relationship to household head Relationship to household head 1 Head 2 Wife 3 Daughter 4 Daughter-in-law 5 Granddaughter 6 Mother 7 Mother-in-law 8 Sister 9 Co-spouse 10 Other relative 11 Adopted/foster child 12 Not related 98 Don't know Sex of household head Sex of household head Sex of household head Sex of household head Sex of household head 1 Male 2 Female Age of household head Age of household head Age of household head Age of household head Age of household head 97 97+ 98 Don't know Household has: telephone (land-line) Household has: telephone (land-line) Household has: telephone (land-line) Household has: telephone (land-line) Household has: telephone (land-line) No 1 Yes 7 Not a dejure resident Literacy Literacy Literacy Literacy Literacy Cannot read at all 1 Able to read only parts of sentence 2 Able to read whole sentence 3 No card with required language 4 Blind/visually impaired Toilet facilities shared with other households Toilet facilities shared with other households Toilet facilities shared with other households Toilet facilities shared with other households Toilet facilities shared with other households No 1 Yes 7 Not a dejure resident Type of cooking fuel Type of cooking fuel Type of cooking fuel Type of cooking fuel Type of cooking fuel 1 Electricity 2 LPG/Cylinder gas 3 Natural gas 4 Biogas 5 Kerosene 6 Coal, lignite 7 Charcoal 8 Wood 9 Straw/shrubs/grass 10 Agricultural crop 11 Animal dung 95 No food cooked in house 96 Other 97 Not a dejure resident Wealth index combined Wealth index combined Wealth index combined Wealth index combined Wealth index combined 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score combined (5 decimals) Wealth index factor score combined (5 decimals) Wealth index factor score combined (5 decimals) Wealth index factor score combined (5 decimals) Wealth index factor score combined (5 decimals) Wealth index for urban/rural Wealth index for urban/rural Wealth index for urban/rural Wealth index for urban/rural Wealth index for urban/rural 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score for urban/rural (5 decimals) Wealth index factor score for urban/rural (5 decimals) Wealth index factor score for urban/rural (5 decimals) Wealth index factor score for urban/rural (5 decimals) Wealth index factor score for urban/rural (5 decimals) Type of mosquito bed net(s) slept under last night Type of mosquito bed net(s) slept under last night Type of mosquito bed net(s) slept under last night Type of mosquito bed net(s) slept under last night Type of mosquito bed net(s) slept under last night No net 1 Only treated nets 2 Both treated and untreated nets 3 Only untreated nets Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Birth column number Birth column number Birth column number Birth column number Birth column number Birth order number Birth order number Birth order number Birth order number Birth order number Child is twin Child is twin Child is twin Child is twin Child is twin Single birth 1 1st of multiple 2 2nd of multiple 3 3rd of multiple 4 4th of multiple 5 5th of multiple Month of birth Month of birth Month of birth Month of birth Month of birth Year of birth Year of birth Year of birth Year of birth Year of birth Date of birth (CMC) Date of birth (CMC) Date of birth (CMC) Date of birth (CMC) Date of birth (CMC) Sex of child Sex of child Sex of child Sex of child Sex of child 1 Male 2 Female Child is alive Child is alive Child is alive Child is alive Child is alive No 1 Yes NA - Age at death NA - Age at death NA - Age at death NA - Age at death NA - Age at death 100 Died on day of birth 101 Days: 1 199 Days: number missing 201 Months: 1 299 Months: number missing 301 Years: 1 399 Years: number missing 997 Inconsistent 998 Don't know NA - Age at death (months, imputed) NA - Age at death (months, imputed) NA - Age at death (months, imputed) NA - Age at death (months, imputed) NA - Age at death (months, imputed) Current age of child Current age of child Current age of child Current age of child Current age of child Child lives with whom Child lives with whom Child lives with whom Child lives with whom Child lives with whom Respondent 1 Father 2 Other relative 3 Someone else 4 Lives elsewhere Completeness of information Completeness of information Completeness of information Completeness of information Completeness of information Month, year and day 1 Month and year - information complete 2 Month and age - year imputed 3 Year and age - month imputed 4 Year and age - year ignored 5 Year - age/month imputed 6 Age - year/month imputed 7 Month - age/year imputed 8 None - all imputed Preceding birth interval (months) Preceding birth interval (months) Preceding birth interval (months) Preceding birth interval (months) Preceding birth interval (months) Succeeding birth interval (months) Succeeding birth interval (months) Succeeding birth interval (months) Succeeding birth interval (months) Succeeding birth interval (months) NA - Flag for age at death NA - Flag for age at death NA - Flag for age at death NA - Flag for age at death NA - Flag for age at death No flag 1 > interview 2 < breastfeeding 3 < age supplemented 4 < first breastfed 5 < last vaccination 6 Outside range 7 Imputed, units given 8 Imputed, no units Live birth between births Live birth between births Live birth between births Live birth between births Live birth between births No 1 Yes Child's line number in household Child's line number in household Child's line number in household Child's line number in household Child's line number in household Not listed in household Day of birth Day of birth Day of birth Day of birth Day of birth Century Day Code of birth (CDC) Century Day Code of birth (CDC) Century Day Code of birth (CDC) Century Day Code of birth (CDC) Century Day Code of birth (CDC) Current age of child in months (months since birth for dead children) Current age of child in months (months since birth for dead children) Current age of child in months (months since birth for dead children) Current age of child in months (months since birth for dead children) Current age of child in months (months since birth for dead children) Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Total children ever born Total children ever born Total children ever born Total children ever born Total children ever born Sons at home Sons at home Sons at home Sons at home Sons at home Daughters at home Daughters at home Daughters at home Daughters at home Daughters at home Sons elsewhere Sons elsewhere Sons elsewhere Sons elsewhere Sons elsewhere Daughters elsewhere Daughters elsewhere Daughters elsewhere Daughters elsewhere Daughters elsewhere Sons who have died Sons who have died Sons who have died Sons who have died Sons who have died Daughters who have died Daughters who have died Daughters who have died Daughters who have died Daughters who have died Births in last five years Births in last five years Births in last five years Births in last five years Births in last five years No births Births in past year Births in past year Births in past year Births in past year Births in past year No births Births in month of interview Births in month of interview Births in month of interview Births in month of interview Births in month of interview NA - Age of respondent at 1st birth NA - Age of respondent at 1st birth NA - Age of respondent at 1st birth NA - Age of respondent at 1st birth NA - Age of respondent at 1st birth Currently pregnant Currently pregnant Currently pregnant Currently pregnant Currently pregnant No or unsure 1 Yes Duration of current pregnancy Duration of current pregnancy Duration of current pregnancy Duration of current pregnancy Duration of current pregnancy Number of living children Number of living children Number of living children Number of living children Number of living children Living children + current pregnancy Living children + current pregnancy Living children + current pregnancy Living children + current pregnancy Living children + current pregnancy Living children + current pregnancy (grouped) Living children + current pregnancy (grouped) Living children + current pregnancy (grouped) Living children + current pregnancy (grouped) Living children + current pregnancy (grouped) 6 6+ Last birth to interview (months) Last birth to interview (months) Last birth to interview (months) Last birth to interview (months) Last birth to interview (months) Completeness of current pregnancy information Completeness of current pregnancy information Completeness of current pregnancy information Completeness of current pregnancy information Completeness of current pregnancy information 7 Month - exact date 8 None - date placed Entries in birth history Entries in birth history Entries in birth history Entries in birth history Entries in birth history Birth between last and interview Birth between last and interview Birth between last and interview Birth between last and interview Birth between last and interview No 1 Yes Births in last three years Births in last three years Births in last three years Births in last three years Births in last three years Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Index to Birth History Index to Birth History Index to Birth History Index to Birth History Index to Birth History Prenatal: doctor Prenatal: doctor Prenatal: doctor Prenatal: doctor Prenatal: doctor No 1 Yes Prenatal: nurse/midwife Prenatal: nurse/midwife Prenatal: nurse/midwife Prenatal: nurse/midwife Prenatal: nurse/midwife No 1 Yes Prenatal: medical assistant/clinical officer Prenatal: medical assistant/clinical officer Prenatal: medical assistant/clinical officer Prenatal: medical assistant/clinical officer Prenatal: medical assistant/clinical officer No 1 Yes Prenatal: nursing aide/assistant Prenatal: nursing aide/assistant Prenatal: nursing aide/assistant Prenatal: nursing aide/assistant Prenatal: nursing aide/assistant No 1 Yes NA - Prenatal: CS health professional NA - Prenatal: CS health professional NA - Prenatal: CS health professional NA - Prenatal: CS health professional NA - Prenatal: CS health professional No 1 Yes NA - Prenatal: CS health professional NA - Prenatal: CS health professional NA - Prenatal: CS health professional NA - Prenatal: CS health professional NA - Prenatal: CS health professional No 1 Yes Prenatal: traditional birth attendant Prenatal: traditional birth attendant Prenatal: traditional birth attendant Prenatal: traditional birth attendant Prenatal: traditional birth attendant No 1 Yes Prenatal: community/village health worker Prenatal: community/village health worker Prenatal: community/village health worker Prenatal: community/village health worker Prenatal: community/village health worker No 1 Yes NA - Prenatal: CS other person NA - Prenatal: CS other person NA - Prenatal: CS other person NA - Prenatal: CS other person NA - Prenatal: CS other person No 1 Yes NA - Prenatal: CS other person NA - Prenatal: CS other person NA - Prenatal: CS other person NA - Prenatal: CS other person NA - Prenatal: CS other person No 1 Yes Prenatal: other Prenatal: other Prenatal: other Prenatal: other Prenatal: other No 1 Yes NA - Prenatal: CS other NA - Prenatal: CS other NA - Prenatal: CS other NA - Prenatal: CS other NA - Prenatal: CS other No 1 Yes NA - Prenatal: CS other NA - Prenatal: CS other NA - Prenatal: CS other NA - Prenatal: CS other NA - Prenatal: CS other No 1 Yes Prenatal: no one Prenatal: no one Prenatal: no one Prenatal: no one Prenatal: no one No: some care 1 Yes: no care Timing of 1st antenatal check (months) Timing of 1st antenatal check (months) Timing of 1st antenatal check (months) Timing of 1st antenatal check (months) Timing of 1st antenatal check (months) 98 Don't know Number of antenatal visits during pregnancy Number of antenatal visits during pregnancy Number of antenatal visits during pregnancy Number of antenatal visits during pregnancy Number of antenatal visits during pregnancy No antenatal visits 98 Don't know During pregnancy took: SP/fansidar for malaria During pregnancy took: SP/fansidar for malaria During pregnancy took: SP/fansidar for malaria During pregnancy took: SP/fansidar for malaria During pregnancy took: SP/fansidar for malaria No 1 Yes 8 Don't know NA - During pregnancy took: chloroquine for malaria NA - During pregnancy took: chloroquine for malaria NA - During pregnancy took: chloroquine for malaria NA - During pregnancy took: chloroquine for malaria NA - During pregnancy took: chloroquine for malaria No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria NA - During pregnancy took: CS drug for malaria No 1 Yes 8 Don't know NA - During pregnancy took: other drug for malaria NA - During pregnancy took: other drug for malaria NA - During pregnancy took: other drug for malaria NA - During pregnancy took: other drug for malaria NA - During pregnancy took: other drug for malaria No 1 Yes 8 Don't know NA - During pregnancy took: don't know NA - During pregnancy took: don't know NA - During pregnancy took: don't know NA - During pregnancy took: don't know NA - During pregnancy took: don't know No 1 Yes: don't know which drug taken 8 Don't know NA - During pregnancy took: no drug for malaria NA - During pregnancy took: no drug for malaria NA - During pregnancy took: no drug for malaria NA - During pregnancy took: no drug for malaria NA - During pregnancy took: no drug for malaria No 1 Yes, took no drug 8 Don't know Antenatal care: respondent's home Antenatal care: respondent's home Antenatal care: respondent's home Antenatal care: respondent's home Antenatal care: respondent's home No 1 Yes Antenatal care: other home Antenatal care: other home Antenatal care: other home Antenatal care: other home Antenatal care: other home No 1 Yes NA - Antenatal care: CS home NA - Antenatal care: CS home NA - Antenatal care: CS home NA - Antenatal care: CS home NA - Antenatal care: CS home No 1 Yes NA - Antenatal care: CS home NA - Antenatal care: CS home NA - Antenatal care: CS home NA - Antenatal care: CS home NA - Antenatal care: CS home No 1 Yes Antenatal care: government hospital Antenatal care: government hospital Antenatal care: government hospital Antenatal care: government hospital Antenatal care: government hospital No 1 Yes Antenatal care: government health center Antenatal care: government health center Antenatal care: government health center Antenatal care: government health center Antenatal care: government health center No 1 Yes Antenatal care: other pulic sector Antenatal care: other pulic sector Antenatal care: other pulic sector Antenatal care: other pulic sector Antenatal care: other pulic sector No 1 Yes NA - Antenatal care: CS public health NA - Antenatal care: CS public health NA - Antenatal care: CS public health NA - Antenatal care: CS public health NA - Antenatal care: CS public health No 1 Yes NA - Antenatal care: CS public health NA - Antenatal care: CS public health NA - Antenatal care: CS public health NA - Antenatal care: CS public health NA - Antenatal care: CS public health No 1 Yes NA - Antenatal care: CS public health NA - Antenatal care: CS public health NA - Antenatal care: CS public health NA - Antenatal care: CS public health NA - Antenatal care: CS public health No 1 Yes NA - Antenatal care: CS public health NA - Antenatal care: CS public health NA - Antenatal care: CS public health NA - Antenatal care: CS public health NA - Antenatal care: CS public health No 1 Yes NA - Antenatal care: CS public health NA - Antenatal care: CS public health NA - Antenatal care: CS public health NA - Antenatal care: CS public health NA - Antenatal care: CS public health No 1 Yes Antenatal care: private hospital/clinic Antenatal care: private hospital/clinic Antenatal care: private hospital/clinic Antenatal care: private hospital/clinic Antenatal care: private hospital/clinic No 1 Yes Antenatal care: other private medical sector Antenatal care: other private medical sector Antenatal care: other private medical sector Antenatal care: other private medical sector Antenatal care: other private medical sector No 1 Yes NA - Antenatal care: CS private medical NA - Antenatal care: CS private medical NA - Antenatal care: CS private medical NA - Antenatal care: CS private medical NA - Antenatal care: CS private medical No 1 Yes NA - Antenatal care: CS private medical NA - Antenatal care: CS private medical NA - Antenatal care: CS private medical NA - Antenatal care: CS private medical NA - Antenatal care: CS private medical No 1 Yes NA - Antenatal care: CS private medical NA - Antenatal care: CS private medical NA - Antenatal care: CS private medical NA - Antenatal care: CS private medical NA - Antenatal care: CS private medical No 1 Yes NA - Antenatal care: CS private medical NA - Antenatal care: CS private medical NA - Antenatal care: CS private medical NA - Antenatal care: CS private medical NA - Antenatal care: CS private medical No 1 Yes NA - Antenatal care: CS other NA - Antenatal care: CS other NA - Antenatal care: CS other NA - Antenatal care: CS other NA - Antenatal care: CS other No 1 Yes NA - Antenatal care: CS other NA - Antenatal care: CS other NA - Antenatal care: CS other NA - Antenatal care: CS other NA - Antenatal care: CS other No 1 Yes NA - Antenatal care: CS other NA - Antenatal care: CS other NA - Antenatal care: CS other NA - Antenatal care: CS other NA - Antenatal care: CS other No 1 Yes NA - Antenatal care: CS other NA - Antenatal care: CS other NA - Antenatal care: CS other NA - Antenatal care: CS other NA - Antenatal care: CS other No 1 Yes Antenatal care: other Antenatal care: other Antenatal care: other Antenatal care: other Antenatal care: other No 1 Yes Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Entries in pregnancy and postnatal care roster Entries in pregnancy and postnatal care roster Entries in pregnancy and postnatal care roster Entries in pregnancy and postnatal care roster Entries in pregnancy and postnatal care roster Entries in child health roster Entries in child health roster Entries in child health roster Entries in child health roster Entries in child health roster Entries in height/weight roster Entries in height/weight roster Entries in height/weight roster Entries in height/weight roster Entries in height/weight roster NA - Women's age in years (from household questionnaire) NA - Women's age in years (from household questionnaire) NA - Women's age in years (from household questionnaire) NA - Women's age in years (from household questionnaire) NA - Women's age in years (from household questionnaire) NA - Under age 18 (from household questionnaire) NA - Under age 18 (from household questionnaire) NA - Under age 18 (from household questionnaire) NA - Under age 18 (from household questionnaire) NA - Under age 18 (from household questionnaire) 1 Under age 18 2 Age 18 or older NA - Line number of parent/caretaker NA - Line number of parent/caretaker NA - Line number of parent/caretaker NA - Line number of parent/caretaker NA - Line number of parent/caretaker Not in household NA - Read consent statement - hemoglobin NA - Read consent statement - hemoglobin NA - Read consent statement - hemoglobin NA - Read consent statement - hemoglobin NA - Read consent statement - hemoglobin 1 Granted 2 Parent/other responsible refused 3 Respondent refused 4 Adult/parent not present 5 Minor not present NA - Hemoglobin level (g/dl - 1 decimal) NA - Hemoglobin level (g/dl - 1 decimal) NA - Hemoglobin level (g/dl - 1 decimal) NA - Hemoglobin level (g/dl - 1 decimal) NA - Hemoglobin level (g/dl - 1 decimal) 994 Not present 995 Refused 996 Other NA - Currently pregnant (from household questionnaire) NA - Currently pregnant (from household questionnaire) NA - Currently pregnant (from household questionnaire) NA - Currently pregnant (from household questionnaire) NA - Currently pregnant (from household questionnaire) No/don't know 1 Yes NA - Result of measurement - hemoglobin NA - Result of measurement - hemoglobin NA - Result of measurement - hemoglobin NA - Result of measurement - hemoglobin NA - Result of measurement - hemoglobin Measured 3 Not present 4 Refused 6 Other 7 No measurement found in household NA - Hemoglobin level adjusted for altitude and smoking (g/dl - 1 decimal) NA - Hemoglobin level adjusted for altitude and smoking (g/dl - 1 decimal) NA - Hemoglobin level adjusted for altitude and smoking (g/dl - 1 decimal) NA - Hemoglobin level adjusted for altitude and smoking (g/dl - 1 decimal) NA - Hemoglobin level adjusted for altitude and smoking (g/dl - 1 decimal) NA - Anemia level NA - Anemia level NA - Anemia level NA - Anemia level NA - Anemia level 1 Severe 2 Moderate 3 Mild 4 Not anemic NA - Agrees to referral - anemia NA - Agrees to referral - anemia NA - Agrees to referral - anemia NA - Agrees to referral - anemia NA - Agrees to referral - anemia No 1 Yes Have mosquito bed net for sleeping (from household questionnaire) Have mosquito bed net for sleeping (from household questionnaire) Have mosquito bed net for sleeping (from household questionnaire) Have mosquito bed net for sleeping (from household questionnaire) Have mosquito bed net for sleeping (from household questionnaire) No 1 Yes Children under 5 slept under mosquito bed net last night (household questionnair Children under 5 slept under mosquito bed net last night (household questionnair Children under 5 slept under mosquito bed net last night (household questionnair Children under 5 slept under mosquito bed net last night (household questionnair Children under 5 slept under mosquito bed net last night (household questionnair No 1 All children 2 Some children 3 No net in household Respondent slept under mosquito bed net Respondent slept under mosquito bed net Respondent slept under mosquito bed net Respondent slept under mosquito bed net Respondent slept under mosquito bed net No 1 Yes NA - Record for Last Birth NA - Record for Last Birth NA - Record for Last Birth NA - Record for Last Birth NA - Record for Last Birth See specific questions 1 Last birth only 2 All births in last 5 years Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Index to birth history Index to birth history Index to birth history Index to birth history Index to birth history Had fever in last two weeks Had fever in last two weeks Had fever in last two weeks Had fever in last two weeks Had fever in last two weeks No 1 Yes 8 Don't know NA - Had cough in last two weeks NA - Had cough in last two weeks NA - Had cough in last two weeks NA - Had cough in last two weeks NA - Had cough in last two weeks No 1 Yes, last 24 hours 2 Yes, last two weeks 8 Don't know Fever/cough: government hospital Fever/cough: government hospital Fever/cough: government hospital Fever/cough: government hospital Fever/cough: government hospital No 1 Yes Fever/cough: government health center Fever/cough: government health center Fever/cough: government health center Fever/cough: government health center Fever/cough: government health center No 1 Yes Fever/cough: mobile clinic/outreach Fever/cough: mobile clinic/outreach Fever/cough: mobile clinic/outreach Fever/cough: mobile clinic/outreach Fever/cough: mobile clinic/outreach No 1 Yes Fever/cough: community health worker/VHT Fever/cough: community health worker/VHT Fever/cough: community health worker/VHT Fever/cough: community health worker/VHT Fever/cough: community health worker/VHT No 1 Yes Fever/cough: other public sector Fever/cough: other public sector Fever/cough: other public sector Fever/cough: other public sector Fever/cough: other public sector No 1 Yes NA - Fever/cough: CS public sector NA - Fever/cough: CS public sector NA - Fever/cough: CS public sector NA - Fever/cough: CS public sector NA - Fever/cough: CS public sector No 1 Yes NA - Fever/cough: CS public sector NA - Fever/cough: CS public sector NA - Fever/cough: CS public sector NA - Fever/cough: CS public sector NA - Fever/cough: CS public sector No 1 Yes NA - Fever/cough: CS public sector NA - Fever/cough: CS public sector NA - Fever/cough: CS public sector NA - Fever/cough: CS public sector NA - Fever/cough: CS public sector No 1 Yes NA - Fever/cough: CS public sector NA - Fever/cough: CS public sector NA - Fever/cough: CS public sector NA - Fever/cough: CS public sector NA - Fever/cough: CS public sector No 1 Yes Fever/cough: private hospital/ clinic Fever/cough: private hospital/ clinic Fever/cough: private hospital/ clinic Fever/cough: private hospital/ clinic Fever/cough: private hospital/ clinic No 1 Yes Fever/cough: private pharmacy/drug shop Fever/cough: private pharmacy/drug shop Fever/cough: private pharmacy/drug shop Fever/cough: private pharmacy/drug shop Fever/cough: private pharmacy/drug shop No 1 Yes Fever/cough: private doctor Fever/cough: private doctor Fever/cough: private doctor Fever/cough: private doctor Fever/cough: private doctor No 1 Yes Fever/cough: private mobile clinic Fever/cough: private mobile clinic Fever/cough: private mobile clinic Fever/cough: private mobile clinic Fever/cough: private mobile clinic No 1 Yes Fever/cough: private fieldworker Fever/cough: private fieldworker Fever/cough: private fieldworker Fever/cough: private fieldworker Fever/cough: private fieldworker No 1 Yes Fever/cough: other private sector Fever/cough: other private sector Fever/cough: other private sector Fever/cough: other private sector Fever/cough: other private sector No 1 Yes NA - Fever/cough: CS private medical NA - Fever/cough: CS private medical NA - Fever/cough: CS private medical NA - Fever/cough: CS private medical NA - Fever/cough: CS private medical No 1 Yes NA - Fever/cough: CS private medical NA - Fever/cough: CS private medical NA - Fever/cough: CS private medical NA - Fever/cough: CS private medical NA - Fever/cough: CS private medical No 1 Yes NA - Fever/cough: CS private medical NA - Fever/cough: CS private medical NA - Fever/cough: CS private medical NA - Fever/cough: CS private medical NA - Fever/cough: CS private medical No 1 Yes Fever/cough: shop Fever/cough: shop Fever/cough: shop Fever/cough: shop Fever/cough: shop No 1 Yes Fever/cough: traditional practitioner Fever/cough: traditional practitioner Fever/cough: traditional practitioner Fever/cough: traditional practitioner Fever/cough: traditional practitioner No 1 Yes Fever/cough: market Fever/cough: market Fever/cough: market Fever/cough: market Fever/cough: market No 1 Yes Fever/cough: hawker/itinerant drug seller Fever/cough: hawker/itinerant drug seller Fever/cough: hawker/itinerant drug seller Fever/cough: hawker/itinerant drug seller Fever/cough: hawker/itinerant drug seller No 1 Yes NA - Fever/cough: CS other sector NA - Fever/cough: CS other sector NA - Fever/cough: CS other sector NA - Fever/cough: CS other sector NA - Fever/cough: CS other sector No 1 Yes Fever/cough: other Fever/cough: other Fever/cough: other Fever/cough: other Fever/cough: other No 1 Yes Fever/cough: no treatment Fever/cough: no treatment Fever/cough: no treatment Fever/cough: no treatment Fever/cough: no treatment No: received treatment 1 Yes: no treatment Fever/cough: medical treatment Fever/cough: medical treatment Fever/cough: medical treatment Fever/cough: medical treatment Fever/cough: medical treatment No 1 Yes Place first sought treatment for fever Place first sought treatment for fever Place first sought treatment for fever Place first sought treatment for fever Place first sought treatment for fever 10 PUBLIC SECTOR 11 Government hospital 12 Government health center 13 Mobile clinic/outreach 14 Community health worker/VHT 15 Other public sector 20 PRIVATE SECTOR 21 Private hospital, clinic 22 Pharmacy/drug shop 23 Private doctor 24 Mobile clinic 25 Fieldworker 26 Other private sector 30 OTHER 31 Shop 32 Traditional practitioner 33 Market 34 Hawker/itinerant drug seller 96 Other Number of days after fever began sought advice or treatment Number of days after fever began sought advice or treatment Number of days after fever began sought advice or treatment Number of days after fever began sought advice or treatment Number of days after fever began sought advice or treatment Same day 98 Don't know Blood taken from child's finger/heel for testing Blood taken from child's finger/heel for testing Blood taken from child's finger/heel for testing Blood taken from child's finger/heel for testing Blood taken from child's finger/heel for testing No 1 Yes 8 Don't know Reason for not seeking advice: child just fell ill Reason for not seeking advice: child just fell ill Reason for not seeking advice: child just fell ill Reason for not seeking advice: child just fell ill Reason for not seeking advice: child just fell ill No 1 Yes Reason for not seeking advice: child not very ill Reason for not seeking advice: child not very ill Reason for not seeking advice: child not very ill Reason for not seeking advice: child not very ill Reason for not seeking advice: child not very ill No 1 Yes Reason for not seeking advice: clinic too far Reason for not seeking advice: clinic too far Reason for not seeking advice: clinic too far Reason for not seeking advice: clinic too far Reason for not seeking advice: clinic too far No 1 Yes Reason for not seeking advice: have no money Reason for not seeking advice: have no money Reason for not seeking advice: have no money Reason for not seeking advice: have no money Reason for not seeking advice: have no money No 1 Yes Reason for not seeking advice: waiting for child's father Reason for not seeking advice: waiting for child's father Reason for not seeking advice: waiting for child's father Reason for not seeking advice: waiting for child's father Reason for not seeking advice: waiting for child's father No 1 Yes Reason for not seeking advice: don't know what to do Reason for not seeking advice: don't know what to do Reason for not seeking advice: don't know what to do Reason for not seeking advice: don't know what to do Reason for not seeking advice: don't know what to do No 1 Yes Reason for not seeking advice: already had medicine at home Reason for not seeking advice: already had medicine at home Reason for not seeking advice: already had medicine at home Reason for not seeking advice: already had medicine at home Reason for not seeking advice: already had medicine at home No 1 Yes Reason for not seeking advice: other reason Reason for not seeking advice: other reason Reason for not seeking advice: other reason Reason for not seeking advice: other reason Reason for not seeking advice: other reason No 1 Yes Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Index to Birth History Index to Birth History Index to Birth History Index to Birth History Index to Birth History Child's age in months Child's age in months Child's age in months Child's age in months Child's age in months Day of birth of child Day of birth of child Day of birth of child Day of birth of child Day of birth of child 97 Inconsistent 98 Don't know Date measured (day) Date measured (day) Date measured (day) Date measured (day) Date measured (day) Date measured (month) Date measured (month) Date measured (month) Date measured (month) Date measured (month) Date measured (year) Date measured (year) Date measured (year) Date measured (year) Date measured (year) Line number of parent/caretaker Line number of parent/caretaker Line number of parent/caretaker Line number of parent/caretaker Line number of parent/caretaker Not in household Read consent statement - hemoglobin Read consent statement - hemoglobin Read consent statement - hemoglobin Read consent statement - hemoglobin Read consent statement - hemoglobin 1 Granted 2 Refused 3 Not present/other Hemoglobin level (g/dl - 1 decimal) Hemoglobin level (g/dl - 1 decimal) Hemoglobin level (g/dl - 1 decimal) Hemoglobin level (g/dl - 1 decimal) Hemoglobin level (g/dl - 1 decimal) 994 Not present 995 Refused 996 Other Result of measurement - hemoglobin Result of measurement - hemoglobin Result of measurement - hemoglobin Result of measurement - hemoglobin Result of measurement - hemoglobin Measured 1 Dead 3 Not present 4 Refused 6 Other 7 No measurement found in household Hemoglobin level adjusted for altitude (g/dl - 1 decimal) Hemoglobin level adjusted for altitude (g/dl - 1 decimal) Hemoglobin level adjusted for altitude (g/dl - 1 decimal) Hemoglobin level adjusted for altitude (g/dl - 1 decimal) Hemoglobin level adjusted for altitude (g/dl - 1 decimal) 997 Inconsistent Anemia level Anemia level Anemia level Anemia level Anemia level 1 Severe 2 Moderate 3 Mild 4 Not anemic NA - Agrees to referral - anemia NA - Agrees to referral - anemia NA - Agrees to referral - anemia NA - Agrees to referral - anemia NA - Agrees to referral - anemia No 1 Yes Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Time interview started (hhmm - 24 hour clock) Time interview started (hhmm - 24 hour clock) Time interview started (hhmm - 24 hour clock) Time interview started (hhmm - 24 hour clock) Time interview started (hhmm - 24 hour clock) Time interview ended (hhmm - 24 hour clock) Time interview ended (hhmm - 24 hour clock) Time interview ended (hhmm - 24 hour clock) Time interview ended (hhmm - 24 hour clock) Time interview ended (hhmm - 24 hour clock) Length of interview in minutes Length of interview in minutes Length of interview in minutes Length of interview in minutes Length of interview in minutes 95 95+ 96 2+ visits 97 Inconsistent Number of visits Number of visits Number of visits Number of visits Number of visits Interviewer identification Interviewer identification Interviewer identification Interviewer identification Interviewer identification NA - Keyer identification NA - Keyer identification NA - Keyer identification NA - Keyer identification NA - Keyer identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Index to Birth History Index to Birth History Index to Birth History Index to Birth History Index to Birth History Type of mosquito bed net(s) child slept under last night Type of mosquito bed net(s) child slept under last night Type of mosquito bed net(s) child slept under last night Type of mosquito bed net(s) child slept under last night Type of mosquito bed net(s) child slept under last night No net 1 Only treated nets 2 Both treated and untreated nets 3 Only untreated nets Number of times took fansidar during pregnancy Number of times took fansidar during pregnancy Number of times took fansidar during pregnancy Number of times took fansidar during pregnancy Number of times took fansidar during pregnancy 98 Don't know Source of antimalarial during pregnancy Source of antimalarial during pregnancy Source of antimalarial during pregnancy Source of antimalarial during pregnancy Source of antimalarial during pregnancy 1 Antenatal visit 2 Another facility visit 6 Other source NA - Child has fever/cough now NA - Child has fever/cough now NA - Child has fever/cough now NA - Child has fever/cough now NA - Child has fever/cough now No 1 Yes, fever only 2 Yes, cough only 3 Both fever and cough 8 Don't know NA - Child has had convulsions in last 2 weeks NA - Child has had convulsions in last 2 weeks NA - Child has had convulsions in last 2 weeks NA - Child has had convulsions in last 2 weeks NA - Child has had convulsions in last 2 weeks No 1 Yes 8 Don't know Fansidar taken for fever Fansidar taken for fever Fansidar taken for fever Fansidar taken for fever Fansidar taken for fever No 1 Yes Chloroquine taken for fever Chloroquine taken for fever Chloroquine taken for fever Chloroquine taken for fever Chloroquine taken for fever No 1 Yes Amodiaquine taken for fever Amodiaquine taken for fever Amodiaquine taken for fever Amodiaquine taken for fever Amodiaquine taken for fever No 1 Yes Quinine taken for fever Quinine taken for fever Quinine taken for fever Quinine taken for fever Quinine taken for fever No 1 Yes Quinine injection/IV taken for fever Quinine injection/IV taken for fever Quinine injection/IV taken for fever Quinine injection/IV taken for fever Quinine injection/IV taken for fever No 1 Yes Combination with artemisinin taken for fever Combination with artemisinin taken for fever Combination with artemisinin taken for fever Combination with artemisinin taken for fever Combination with artemisinin taken for fever No 1 Yes Artesunate rectal taken for fever Artesunate rectal taken for fever Artesunate rectal taken for fever Artesunate rectal taken for fever Artesunate rectal taken for fever No 1 Yes Artesunate injection/IV taken for fever Artesunate injection/IV taken for fever Artesunate injection/IV taken for fever Artesunate injection/IV taken for fever Artesunate injection/IV taken for fever No 1 Yes NA - CS antimalarial taken for fever NA - CS antimalarial taken for fever NA - CS antimalarial taken for fever NA - CS antimalarial taken for fever NA - CS antimalarial taken for fever No 1 Yes NA - CS antimalarial taken for fever NA - CS antimalarial taken for fever NA - CS antimalarial taken for fever NA - CS antimalarial taken for fever NA - CS antimalarial taken for fever No 1 Yes Other antimalarial taken for fever Other antimalarial taken for fever Other antimalarial taken for fever Other antimalarial taken for fever Other antimalarial taken for fever No 1 Yes Antibiotic pill/syrup taken for fever Antibiotic pill/syrup taken for fever Antibiotic pill/syrup taken for fever Antibiotic pill/syrup taken for fever Antibiotic pill/syrup taken for fever No 1 Yes Antibiotic injection taken for fever Antibiotic injection taken for fever Antibiotic injection taken for fever Antibiotic injection taken for fever Antibiotic injection taken for fever No 1 Yes Aspirin taken for fever Aspirin taken for fever Aspirin taken for fever Aspirin taken for fever Aspirin taken for fever No 1 Yes Acetaminophen/paracetamol/panadol taken for fever Acetaminophen/paracetamol/panadol taken for fever Acetaminophen/paracetamol/panadol taken for fever Acetaminophen/paracetamol/panadol taken for fever Acetaminophen/paracetamol/panadol taken for fever No 1 Yes Ibuprofen taken for fever Ibuprofen taken for fever Ibuprofen taken for fever Ibuprofen taken for fever Ibuprofen taken for fever No 1 Yes NA - CS other taken for fever NA - CS other taken for fever NA - CS other taken for fever NA - CS other taken for fever NA - CS other taken for fever No 1 Yes NA - CS other taken for fever NA - CS other taken for fever NA - CS other taken for fever NA - CS other taken for fever NA - CS other taken for fever No 1 Yes NA - CS other taken for fever NA - CS other taken for fever NA - CS other taken for fever NA - CS other taken for fever NA - CS other taken for fever No 1 Yes Other taken for fever Other taken for fever Other taken for fever Other taken for fever Other taken for fever No 1 Yes Nothing taken and didn't seek treatment for fever/cough Nothing taken and didn't seek treatment for fever/cough Nothing taken and didn't seek treatment for fever/cough Nothing taken and didn't seek treatment for fever/cough Nothing taken and didn't seek treatment for fever/cough No 1 Yes, nothing taken Don't know if or what was taken for fever Don't know if or what was taken for fever Don't know if or what was taken for fever Don't know if or what was taken for fever Don't know if or what was taken for fever No 1 Yes, don't know NA - Injection given for fever/convulsion NA - Injection given for fever/convulsion NA - Injection given for fever/convulsion NA - Injection given for fever/convulsion NA - Injection given for fever/convulsion No 1 Yes NA - Suppository given for fever/convulsion NA - Suppository given for fever/convulsion NA - Suppository given for fever/convulsion NA - Suppository given for fever/convulsion NA - Suppository given for fever/convulsion No 1 Yes NA - No suppository or injection given for fever/convulsion NA - No suppository or injection given for fever/convulsion NA - No suppository or injection given for fever/convulsion NA - No suppository or injection given for fever/convulsion NA - No suppository or injection given for fever/convulsion No 1 Yes NA - Don't know if suppository or injection given for fever/convulsion NA - Don't know if suppository or injection given for fever/convulsion NA - Don't know if suppository or injection given for fever/convulsion NA - Don't know if suppository or injection given for fever/convulsion NA - Don't know if suppository or injection given for fever/convulsion No 1 Yes Timing of start of fansidar Timing of start of fansidar Timing of start of fansidar Timing of start of fansidar Timing of start of fansidar Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took fansidar NA - Number of days child took fansidar NA - Number of days child took fansidar NA - Number of days child took fansidar NA - Number of days child took fansidar 7 7+ days 8 Don't know NA - First source for fansidar NA - First source for fansidar NA - First source for fansidar NA - First source for fansidar NA - First source for fansidar Other source 1 At home 8 Don't know Timing of start of chloroquine Timing of start of chloroquine Timing of start of chloroquine Timing of start of chloroquine Timing of start of chloroquine Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took chloroquine NA - Number of days child took chloroquine NA - Number of days child took chloroquine NA - Number of days child took chloroquine NA - Number of days child took chloroquine 7 7+ days 8 Don't know NA - First source for chloroquine NA - First source for chloroquine NA - First source for chloroquine NA - First source for chloroquine NA - First source for chloroquine Other source 1 At home 8 Don't know Timing of start of amodiaquine Timing of start of amodiaquine Timing of start of amodiaquine Timing of start of amodiaquine Timing of start of amodiaquine Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took amodiaquine NA - Number of days child took amodiaquine NA - Number of days child took amodiaquine NA - Number of days child took amodiaquine NA - Number of days child took amodiaquine 7 7+ days 8 Don't know NA - First source for amodiaquine NA - First source for amodiaquine NA - First source for amodiaquine NA - First source for amodiaquine NA - First source for amodiaquine Other source 1 At home 8 Don't know Timing of start of quinine Timing of start of quinine Timing of start of quinine Timing of start of quinine Timing of start of quinine Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took quinine NA - Number of days child took quinine NA - Number of days child took quinine NA - Number of days child took quinine NA - Number of days child took quinine 7 7+ days 8 Don't know NA - First source for quinine NA - First source for quinine NA - First source for quinine NA - First source for quinine NA - First source for quinine Other source 1 At home 8 Don't know NA - For fever/convulsion: consulted traditional healer NA - For fever/convulsion: consulted traditional healer NA - For fever/convulsion: consulted traditional healer NA - For fever/convulsion: consulted traditional healer NA - For fever/convulsion: consulted traditional healer No 1 Yes NA - For fever/convulsion: gave tepid sponging NA - For fever/convulsion: gave tepid sponging NA - For fever/convulsion: gave tepid sponging NA - For fever/convulsion: gave tepid sponging NA - For fever/convulsion: gave tepid sponging No 1 Yes NA - For fever/convulsion: gave herbs NA - For fever/convulsion: gave herbs NA - For fever/convulsion: gave herbs NA - For fever/convulsion: gave herbs NA - For fever/convulsion: gave herbs No 1 Yes NA - For fever/convulsion: CS NA - For fever/convulsion: CS NA - For fever/convulsion: CS NA - For fever/convulsion: CS NA - For fever/convulsion: CS No 1 Yes NA - For fever/convulsion: CS NA - For fever/convulsion: CS NA - For fever/convulsion: CS NA - For fever/convulsion: CS NA - For fever/convulsion: CS No 1 Yes NA - For fever/convulsion: CS NA - For fever/convulsion: CS NA - For fever/convulsion: CS NA - For fever/convulsion: CS NA - For fever/convulsion: CS No 1 Yes NA - For fever/convulsion: other NA - For fever/convulsion: other NA - For fever/convulsion: other NA - For fever/convulsion: other NA - For fever/convulsion: other No 1 Yes NA - For fever/convulsion: gave/did nothing NA - For fever/convulsion: gave/did nothing NA - For fever/convulsion: gave/did nothing NA - For fever/convulsion: gave/did nothing NA - For fever/convulsion: gave/did nothing No 1 Yes NA - For fever/convulsion: don't know if something else was done NA - For fever/convulsion: don't know if something else was done NA - For fever/convulsion: don't know if something else was done NA - For fever/convulsion: don't know if something else was done NA - For fever/convulsion: don't know if something else was done No 1 Yes Timing of start of combination with artemisinin Timing of start of combination with artemisinin Timing of start of combination with artemisinin Timing of start of combination with artemisinin Timing of start of combination with artemisinin Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took combination with artemisinin NA - Number of days child took combination with artemisinin NA - Number of days child took combination with artemisinin NA - Number of days child took combination with artemisinin NA - Number of days child took combination with artemisinin 7 7+ days 8 Don't know NA - First source for combination with artemisinin NA - First source for combination with artemisinin NA - First source for combination with artemisinin NA - First source for combination with artemisinin NA - First source for combination with artemisinin Other source 1 At home 8 Don't know NA - Timing of start of CS antimalarial use NA - Timing of start of CS antimalarial use NA - Timing of start of CS antimalarial use NA - Timing of start of CS antimalarial use NA - Timing of start of CS antimalarial use Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took CS antimalarial NA - Number of days child took CS antimalarial NA - Number of days child took CS antimalarial NA - Number of days child took CS antimalarial NA - Number of days child took CS antimalarial 7 7+ days 8 Don't know NA - First source for CS antimalarial NA - First source for CS antimalarial NA - First source for CS antimalarial NA - First source for CS antimalarial NA - First source for CS antimalarial Other source 1 At home 8 Don't know NA - Timing of start of CS antimalarial use NA - Timing of start of CS antimalarial use NA - Timing of start of CS antimalarial use NA - Timing of start of CS antimalarial use NA - Timing of start of CS antimalarial use Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took CS antimalarial NA - Number of days child took CS antimalarial NA - Number of days child took CS antimalarial NA - Number of days child took CS antimalarial NA - Number of days child took CS antimalarial 7 7+ days 8 Don't know NA - First source for CS antimalarial NA - First source for CS antimalarial NA - First source for CS antimalarial NA - First source for CS antimalarial NA - First source for CS antimalarial Other source 1 At home 8 Don't know Timing of start of other anti-malarial use Timing of start of other anti-malarial use Timing of start of other anti-malarial use Timing of start of other anti-malarial use Timing of start of other anti-malarial use Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took other anti-malarial NA - Number of days child took other anti-malarial NA - Number of days child took other anti-malarial NA - Number of days child took other anti-malarial NA - Number of days child took other anti-malarial 7 7+ days 8 Don't know NA - First source for other anti-malarial NA - First source for other anti-malarial NA - First source for other anti-malarial NA - First source for other anti-malarial NA - First source for other anti-malarial Other source 1 At home 8 Don't know NA - First source for antibiotic pill/syrup NA - First source for antibiotic pill/syrup NA - First source for antibiotic pill/syrup NA - First source for antibiotic pill/syrup NA - First source for antibiotic pill/syrup Other source 1 At home 8 Don't know Timing of start of artesunate Timing of start of artesunate Timing of start of artesunate Timing of start of artesunate Timing of start of artesunate Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification District District District District District 101 Kalangala 102 Kampala 103 Kiboga 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 115 Mityana 116 Nakaseke 117 Buikwe 120 Buvuma 121 Gomba 122 Kalungu 123 Kyankwanzi 124 Lwengo 125 Kyotera 126 Kassanda 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 225 Bulambuli 226 Buyende 227 Kibuku 228 Kween 229 Luuka 230 Namayingo 231 Ngora 232 Serere 233 Butebo 234 Namisindwa 235 Bugweri 236 Kapelebyong 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Maracha 321 Oyam 322 Agago 323 Alebtong 324 Amudat 325 Kole 326 Lamwo 327 Napak 328 Nwoya 329 Otuke 330 Zombo 331 Omoro 332 Pakwach 333 Kwania 334 Nabilatuk 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 409 Masindi 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura 421 Kiryandongo 422 Kyegegwa 423 Mitooma 424 Ntoroko 426 Sheema 427 Kagadi 428 Kakumiro 429 Rubanda 430 Rukiga 431 Bunyangabu 432 Kikuube Refugee settlements Refugee settlements Refugee settlements Refugee settlements Refugee settlements Not in refugee settlement 1 Refugee settlement Has cassette/CD/DVD player Has cassette/CD/DVD player Has cassette/CD/DVD player Has cassette/CD/DVD player Has cassette/CD/DVD player No 1 Yes 7 Not a de jure member Has table Has table Has table Has table Has table No 1 Yes 7 Not a de jure member Has chair Has chair Has chair Has chair Has chair No 1 Yes 7 Not a de jure member Has sofa set Has sofa set Has sofa set Has sofa set Has sofa set No 1 Yes 7 Not a de jure member Has bed Has bed Has bed Has bed Has bed No 1 Yes 7 Not a de jure member Has cupboard Has cupboard Has cupboard Has cupboard Has cupboard No 1 Yes 7 Not a de jure member Has clock Has clock Has clock Has clock Has clock No 1 Yes 7 Not a de jure member Has boat without a motor Has boat without a motor Has boat without a motor Has boat without a motor Has boat without a motor No 1 Yes 7 Not a de jure member Highest educational level Highest educational level Highest educational level Highest educational level Highest educational level No education 1 Primary 2 'O' level 3 'A' level 4 Tertiary 5 University Seen/heard any messages about malaria Seen/heard any messages about malaria Seen/heard any messages about malaria Seen/heard any messages about malaria Seen/heard any messages about malaria No 1 Yes Seen/heard messages: radio Seen/heard messages: radio Seen/heard messages: radio Seen/heard messages: radio Seen/heard messages: radio No 1 Yes Seen/heard messages: television Seen/heard messages: television Seen/heard messages: television Seen/heard messages: television Seen/heard messages: television No 1 Yes Seen/heard messages: poster/billboard Seen/heard messages: poster/billboard Seen/heard messages: poster/billboard Seen/heard messages: poster/billboard Seen/heard messages: poster/billboard No 1 Yes Seen/heard messages: community health worker Seen/heard messages: community health worker Seen/heard messages: community health worker Seen/heard messages: community health worker Seen/heard messages: community health worker No 1 Yes Seen/heard messages: community event Seen/heard messages: community event Seen/heard messages: community event Seen/heard messages: community event Seen/heard messages: community event No 1 Yes Seen/heard messages: interpersonal communication Seen/heard messages: interpersonal communication Seen/heard messages: interpersonal communication Seen/heard messages: interpersonal communication Seen/heard messages: interpersonal communication No 1 Yes Seen/heard messages: flyers Seen/heard messages: flyers Seen/heard messages: flyers Seen/heard messages: flyers Seen/heard messages: flyers No 1 Yes Seen/heard messages: social mobilization Seen/heard messages: social mobilization Seen/heard messages: social mobilization Seen/heard messages: social mobilization Seen/heard messages: social mobilization No 1 Yes Seen/heard messages: social media Seen/heard messages: social media Seen/heard messages: social media Seen/heard messages: social media Seen/heard messages: social media No 1 Yes Seen/heard messages: anywhere else Seen/heard messages: anywhere else Seen/heard messages: anywhere else Seen/heard messages: anywhere else Seen/heard messages: anywhere else No 1 Yes Number of births since 2013 Number of births since 2013 Number of births since 2013 Number of births since 2013 Number of births since 2013 None How long after fever should child be taken for treatment How long after fever should child be taken for treatment How long after fever should child be taken for treatment How long after fever should child be taken for treatment How long after fever should child be taken for treatment 1 Same day 2 Next day 3 Two days after onset of fever 4 Three or more days after onset of fever 5 Fever is normal in children, no treatment necessary 6 Depends on how serious the fever is 96 Other 98 Don't know Cause of malaria: mosquito bites Cause of malaria: mosquito bites Cause of malaria: mosquito bites Cause of malaria: mosquito bites Cause of malaria: mosquito bites No 1 Yes Cause of malaria: mosquitoes Cause of malaria: mosquitoes Cause of malaria: mosquitoes Cause of malaria: mosquitoes Cause of malaria: mosquitoes No 1 Yes Cause of malaria: parasite Cause of malaria: parasite Cause of malaria: parasite Cause of malaria: parasite Cause of malaria: parasite No 1 Yes Cause of malaria: eating maize Cause of malaria: eating maize Cause of malaria: eating maize Cause of malaria: eating maize Cause of malaria: eating maize No 1 Yes Cause of malaria: eating mangoes Cause of malaria: eating mangoes Cause of malaria: eating mangoes Cause of malaria: eating mangoes Cause of malaria: eating mangoes No 1 Yes Cause of malaria: eating dirty food Cause of malaria: eating dirty food Cause of malaria: eating dirty food Cause of malaria: eating dirty food Cause of malaria: eating dirty food No 1 Yes Cause of malaria: drinking un-boiled water Cause of malaria: drinking un-boiled water Cause of malaria: drinking un-boiled water Cause of malaria: drinking un-boiled water Cause of malaria: drinking un-boiled water No 1 Yes Cause of malaria: getting soaked with rain Cause of malaria: getting soaked with rain Cause of malaria: getting soaked with rain Cause of malaria: getting soaked with rain Cause of malaria: getting soaked with rain No 1 Yes Cause of malaria: cold/changing weather Cause of malaria: cold/changing weather Cause of malaria: cold/changing weather Cause of malaria: cold/changing weather Cause of malaria: cold/changing weather No 1 Yes Cause of malaria: witchcraft Cause of malaria: witchcraft Cause of malaria: witchcraft Cause of malaria: witchcraft Cause of malaria: witchcraft No 1 Yes Cause of malaria: contact with infected person Cause of malaria: contact with infected person Cause of malaria: contact with infected person Cause of malaria: contact with infected person Cause of malaria: contact with infected person No 1 Yes Cause of malaria: germ Cause of malaria: germ Cause of malaria: germ Cause of malaria: germ Cause of malaria: germ No 1 Yes Cause of malaria: standing water/breeding environments Cause of malaria: standing water/breeding environments Cause of malaria: standing water/breeding environments Cause of malaria: standing water/breeding environments Cause of malaria: standing water/breeding environments No 1 Yes Cause of malaria: poor hygiene/dirty environment Cause of malaria: poor hygiene/dirty environment Cause of malaria: poor hygiene/dirty environment Cause of malaria: poor hygiene/dirty environment Cause of malaria: poor hygiene/dirty environment No 1 Yes Cause of malaria: not sleeping under net Cause of malaria: not sleeping under net Cause of malaria: not sleeping under net Cause of malaria: not sleeping under net Cause of malaria: not sleeping under net No 1 Yes Cause of malaria: other cause Cause of malaria: other cause Cause of malaria: other cause Cause of malaria: other cause Cause of malaria: other cause No 1 Yes Cause of malaria: don't know Cause of malaria: don't know Cause of malaria: don't know Cause of malaria: don't know Cause of malaria: don't know No 1 Yes Malaria can be avoided Malaria can be avoided Malaria can be avoided Malaria can be avoided Malaria can be avoided No 1 Yes Ways to avoid malaria: sleep under net Ways to avoid malaria: sleep under net Ways to avoid malaria: sleep under net Ways to avoid malaria: sleep under net Ways to avoid malaria: sleep under net No 1 Yes Ways to avoid malaria: sleep under an ITN Ways to avoid malaria: sleep under an ITN Ways to avoid malaria: sleep under an ITN Ways to avoid malaria: sleep under an ITN Ways to avoid malaria: sleep under an ITN No 1 Yes Ways to avoid malaria: taking preventative medication Ways to avoid malaria: taking preventative medication Ways to avoid malaria: taking preventative medication Ways to avoid malaria: taking preventative medication Ways to avoid malaria: taking preventative medication No 1 Yes Ways to avoid malaria: use mosquito repellant Ways to avoid malaria: use mosquito repellant Ways to avoid malaria: use mosquito repellant Ways to avoid malaria: use mosquito repellant Ways to avoid malaria: use mosquito repellant No 1 Yes Ways to avoid malaria: spraying house with insecticide Ways to avoid malaria: spraying house with insecticide Ways to avoid malaria: spraying house with insecticide Ways to avoid malaria: spraying house with insecticide Ways to avoid malaria: spraying house with insecticide No 1 Yes Ways to avoid malaria: using mosquito coils Ways to avoid malaria: using mosquito coils Ways to avoid malaria: using mosquito coils Ways to avoid malaria: using mosquito coils Ways to avoid malaria: using mosquito coils No 1 Yes Ways to avoid malaria: destroy mosquito breeding sites Ways to avoid malaria: destroy mosquito breeding sites Ways to avoid malaria: destroy mosquito breeding sites Ways to avoid malaria: destroy mosquito breeding sites Ways to avoid malaria: destroy mosquito breeding sites No 1 Yes Ways to avoid malaria: boil water Ways to avoid malaria: boil water Ways to avoid malaria: boil water Ways to avoid malaria: boil water Ways to avoid malaria: boil water No 1 Yes Ways to avoid malaria: good hygiene/keeping clean environments Ways to avoid malaria: good hygiene/keeping clean environments Ways to avoid malaria: good hygiene/keeping clean environments Ways to avoid malaria: good hygiene/keeping clean environments Ways to avoid malaria: good hygiene/keeping clean environments No 1 Yes Ways to avoid malaria: other Ways to avoid malaria: other Ways to avoid malaria: other Ways to avoid malaria: other Ways to avoid malaria: other No 1 Yes Ways to avoid malaria: don't know Ways to avoid malaria: don't know Ways to avoid malaria: don't know Ways to avoid malaria: don't know Ways to avoid malaria: don't know No 1 Yes Medicine for pregnant women to prevent malaria: SP/Fansidar Medicine for pregnant women to prevent malaria: SP/Fansidar Medicine for pregnant women to prevent malaria: SP/Fansidar Medicine for pregnant women to prevent malaria: SP/Fansidar Medicine for pregnant women to prevent malaria: SP/Fansidar No 1 Yes Medicine for pregnant women to prevent malaria: Chloroquine Medicine for pregnant women to prevent malaria: Chloroquine Medicine for pregnant women to prevent malaria: Chloroquine Medicine for pregnant women to prevent malaria: Chloroquine Medicine for pregnant women to prevent malaria: Chloroquine No 1 Yes Medicine for pregnant women to prevent malaria: Chloroquine with Fansidar Medicine for pregnant women to prevent malaria: Chloroquine with Fansidar Medicine for pregnant women to prevent malaria: Chloroquine with Fansidar Medicine for pregnant women to prevent malaria: Chloroquine with Fansidar Medicine for pregnant women to prevent malaria: Chloroquine with Fansidar No 1 Yes Medicine for pregnant women to prevent malaria: Coartem/ACT Medicine for pregnant women to prevent malaria: Coartem/ACT Medicine for pregnant women to prevent malaria: Coartem/ACT Medicine for pregnant women to prevent malaria: Coartem/ACT Medicine for pregnant women to prevent malaria: Coartem/ACT No 1 Yes Medicine for pregnant women to prevent malaria: other Medicine for pregnant women to prevent malaria: other Medicine for pregnant women to prevent malaria: other Medicine for pregnant women to prevent malaria: other Medicine for pregnant women to prevent malaria: other No 1 Yes Medicine for pregnant women to prevent malaria: don't know Medicine for pregnant women to prevent malaria: don't know Medicine for pregnant women to prevent malaria: don't know Medicine for pregnant women to prevent malaria: don't know Medicine for pregnant women to prevent malaria: don't know No 1 Yes Number of times a woman should take SP/Fansidar during pregnancy Number of times a woman should take SP/Fansidar during pregnancy Number of times a woman should take SP/Fansidar during pregnancy Number of times a woman should take SP/Fansidar during pregnancy Number of times a woman should take SP/Fansidar during pregnancy 98 Don't know Sleeping under a bed net is the best way to avoid malaria Sleeping under a bed net is the best way to avoid malaria Sleeping under a bed net is the best way to avoid malaria Sleeping under a bed net is the best way to avoid malaria Sleeping under a bed net is the best way to avoid malaria 1 Agree 2 Disagree 8 Don't know/uncertain Can easily hang a net Can easily hang a net Can easily hang a net Can easily hang a net Can easily hang a net 1 Agree 2 Disagree 8 Don't know/uncertain Pregnant women should take antimalarials Pregnant women should take antimalarials Pregnant women should take antimalarials Pregnant women should take antimalarials Pregnant women should take antimalarials 1 Agree 2 Disagree 8 Don't know/uncertain Takes entire course of malaria medicine Takes entire course of malaria medicine Takes entire course of malaria medicine Takes entire course of malaria medicine Takes entire course of malaria medicine 1 Agree 2 Disagree 8 Don't know/uncertain Children should visit a health provider the same or next day after fever Children should visit a health provider the same or next day after fever Children should visit a health provider the same or next day after fever Children should visit a health provider the same or next day after fever Children should visit a health provider the same or next day after fever 1 Agree 2 Disagree 8 Don't know/uncertain Community comes together to prevent malaria Community comes together to prevent malaria Community comes together to prevent malaria Community comes together to prevent malaria Community comes together to prevent malaria 1 Agree 2 Disagree 8 Don't know/uncertain Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Case Identification Index to Birth History Index to Birth History Index to Birth History Index to Birth History Index to Birth History Main reason for no ANC Main reason for no ANC Main reason for no ANC Main reason for no ANC Main reason for no ANC 1 Facility too far 2 Had no money 3 Had no time 4 Not aware had to attend 5 Did not want to attend 6 Other 8 Don't know Reason for taking SP/Fansidar only once: facility too far Reason for taking SP/Fansidar only once: facility too far Reason for taking SP/Fansidar only once: facility too far Reason for taking SP/Fansidar only once: facility too far Reason for taking SP/Fansidar only once: facility too far No 1 Yes Reason for taking SP/Fansidar only once: had no money Reason for taking SP/Fansidar only once: had no money Reason for taking SP/Fansidar only once: had no money Reason for taking SP/Fansidar only once: had no money Reason for taking SP/Fansidar only once: had no money No 1 Yes Reason for taking SP/Fansidar only once: side effects Reason for taking SP/Fansidar only once: side effects Reason for taking SP/Fansidar only once: side effects Reason for taking SP/Fansidar only once: side effects Reason for taking SP/Fansidar only once: side effects No 1 Yes Reason for taking SP/Fansidar only once: not aware had to take more Reason for taking SP/Fansidar only once: not aware had to take more Reason for taking SP/Fansidar only once: not aware had to take more Reason for taking SP/Fansidar only once: not aware had to take more Reason for taking SP/Fansidar only once: not aware had to take more No 1 Yes Reason for taking SP/Fansidar only once: did not want to take Reason for taking SP/Fansidar only once: did not want to take Reason for taking SP/Fansidar only once: did not want to take Reason for taking SP/Fansidar only once: did not want to take Reason for taking SP/Fansidar only once: did not want to take No 1 Yes Reason for taking SP/Fansidar only once: not given Reason for taking SP/Fansidar only once: not given Reason for taking SP/Fansidar only once: not given Reason for taking SP/Fansidar only once: not given Reason for taking SP/Fansidar only once: not given No 1 Yes Reason for taking SP/Fansidar only once: not available Reason for taking SP/Fansidar only once: not available Reason for taking SP/Fansidar only once: not available Reason for taking SP/Fansidar only once: not available Reason for taking SP/Fansidar only once: not available No 1 Yes Reason for taking SP/Fansidar only once: other reason Reason for taking SP/Fansidar only once: other reason Reason for taking SP/Fansidar only once: other reason Reason for taking SP/Fansidar only once: other reason Reason for taking SP/Fansidar only once: other reason No 1 Yes Reason for taking SP/Fansidar only once: don't know Reason for taking SP/Fansidar only once: don't know Reason for taking SP/Fansidar only once: don't know Reason for taking SP/Fansidar only once: don't know Reason for taking SP/Fansidar only once: don't know No 1 Yes Fieldworker code Fieldworker code Fieldworker code Fieldworker code Fieldworker code Country code and phase Country code and phase Country code and phase Country code and phase Country code and phase Fieldworker district of residence Fieldworker district of residence Fieldworker district of residence Fieldworker district of residence Fieldworker district of residence 101 KALANGALA 102 KAMPALA 103 KIBOGA 104 LUWERO 106 MPIGI 107 MUBENDE 108 MUKONO 109 NAKASONGOLA 110 RAKAI 111 SSEMBABULE 112 KAYUNGA 113 WAKISO 115 MITYANA 116 NAKASEKE 117 BUIKWE 120 BUVUMA 121 GOMBA 122 KALUNGU 123 KYANKWANZI 124 LWENGO 125 KYOTERA 126 KASSANDA 201 BUGIRI 202 BUSIA 203 IGANGA 204 JINJA 205 KAMULI 206 KAPCHORWA 207 KATAKWI 208 KUMI 209 MBALE 210 PALLISA 211 SOROTI 212 TORORO 213 KABERAMAIDO 214 MAYUGE 215 SIRONKO 216 AMURIA 217 BUDAKA 218 BUDUDA 219 BUKEDEA 220 BUKWO 221 BUTALEJA 222 KALIRO 223 MANAFWA 224 NAMUTUMBA 225 BULAMBULI 226 BUYENDE 227 KIBUKU 228 KWEEN 229 LUUKA 230 NAMAYINGO 231 NGORA 232 SERERE 233 BUTEBO 234 NAMISINDWA 235 BUGWERI 236 KAPELEBYONG 301 ADJUMANI 302 APAC 303 ARUA 304 GULU 305 KITGUM 306 KOTIDO 307 LIRA 308 MOROTO 309 MOYO 310 NEBBI 311 NAKAPIRIPIRIT 312 PADER 313 YUMBE 314 ABIM 315 AMOLATAR 316 AMURU 317 DOKOLO 318 KAABONG 319 KOBOKO 320 MARACHA 321 OYAM 322 AGAGO 323 ALEBTONG 324 AMUDAT 325 KOLE 326 LAMWO 327 NAPAK 328 NWOYA 329 OTUKE 330 ZOMBO 331 OMORO 332 PAKWACH 333 KWANIA 334 NABILATUK 401 BUNDIBUGYO 402 BUSHENYI 403 HOIMA 404 KABALE 405 KABAROLE 406 KASESE 407 KIBAALE 408 KISORO 409 MASINDI 410 MBARARA 411 NTUNGAMO 412 RUKUNGIRI 413 KAMWENGE 414 KANUNGU 415 KYENJOJO 416 BULIISA 417 IBANDA 418 ISINGIRO 419 KIRUHURA 421 KIRYANDONGO 422 KYEGEGWA 423 MITOOMA 424 NTOROKO 426 SHEEMA 427 KAGADI 428 KAKUMIRO 429 RUBANDA 430 RUKIGA 431 BUNYANGABU 432 KIKUUBE Fieldworker type of place of residence Fieldworker type of place of residence Fieldworker type of place of residence Fieldworker type of place of residence Fieldworker type of place of residence 1 City 2 Town 3 Rural Fieldworker age Fieldworker age Fieldworker age Fieldworker age Fieldworker age Fieldworker sex Fieldworker sex Fieldworker sex Fieldworker sex Fieldworker sex 1 Male 2 Female Fieldworker marital status Fieldworker marital status Fieldworker marital status Fieldworker marital status Fieldworker marital status 1 Currently married 2 Living with a man/woman 3 Widowed 4 Divorced 5 Separated 6 Never married or lived with a man/woman Fieldworker number of living children Fieldworker number of living children Fieldworker number of living children Fieldworker number of living children Fieldworker number of living children Fieldworker ever had a child who died Fieldworker ever had a child who died Fieldworker ever had a child who died Fieldworker ever had a child who died Fieldworker ever had a child who died 1 Yes 2 No Highest level of school attended by fieldworker Highest level of school attended by fieldworker Highest level of school attended by fieldworker Highest level of school attended by fieldworker Highest level of school attended by fieldworker 1 Primary 2 'O' level 3 'A' level 4 Tertiary 5 University Highest grade/form/year at that level completed by fieldworker Highest grade/form/year at that level completed by fieldworker Highest grade/form/year at that level completed by fieldworker Highest grade/form/year at that level completed by fieldworker Highest grade/form/year at that level completed by fieldworker Less than one year at level Fieldworker religion Fieldworker religion Fieldworker religion Fieldworker religion Fieldworker religion 10 No religion 11 Anglican 12 Catholic 13 Muslim 14 Seventh Day Adventist 15 Orthodox 16 Pentecostal/Born Again/Evangelical 17 Baha'i 18 Baptist 19 Jewish 20 Presbyterian 21 Mammon 22 Hindu 23 Buddhist 24 Jehovah's Witness 25 Salvation Army 26 Traditional 96 Other Fieldworker ethnicity Fieldworker ethnicity Fieldworker ethnicity Fieldworker ethnicity Fieldworker ethnicity 511 ACHOLI 512 ALIBA 513 ALUR 514 ARINGA 515 BAAMBA 516 BABUKUSU 517 BABWISI 518 BAFUMBIRA 519 BAGANDA 520 BAGISU 521 BAGUNGU 522 BAGWE 523 BAGWERE 524 BAHEHE 525 BAHORORO 526 BAKENYI 527 BAKIGA 528 BAKONZO 529 BANYABINDI 530 BANYABUTUMBI 531 BANYANKORE 532 BANYARA 533 BANYARUGURU 534 BANYARWANDA 535 BANYOLE 536 BANYORO 537 BARULI 538 BARUNDI 539 BASAMIA 540 BASOGA 541 BASONGORA 542 BATAGWENDA 543 BATORO 544 BATUKU 545 BATWA 546 CHOPE 547 DODOTH 548 ETHUR 549 GIMARA 550 IK (TEUSO) 551 ITESO 552 JIE 553 JONAM 554 JOPADHOLA 555 KAKWA 556 KARIMOJONG 557 KEBU (OKEBU) 558 KUKU 559 KUMAM 560 LANGO 561 LENDU 562 LUGBARA 563 MADI 564 MENING 565 MVUBA 566 NAPORE 567 NGIKUTIO 568 NUBI 569 NYANGIA 570 POKOT 571 RELI 572 SABINY 573 SHANA 574 SO (TEPETH) 575 VONOMA 996 Other Languages spoken by fieldworker Languages spoken by fieldworker Languages spoken by fieldworker Languages spoken by fieldworker Languages spoken by fieldworker English English English English English Luganda Luganda Luganda Luganda Luganda Luo Luo Luo Luo Luo Lugbara Lugbara Lugbara Lugbara Lugbara Ateso Ateso Ateso Ateso Ateso Ngakarimojong Ngakarimojong Ngakarimojong Ngakarimojong Ngakarimojong Runyankole/Rukiga Runyankole/Rukiga Runyankole/Rukiga Runyankole/Rukiga Runyankole/Rukiga Runyoro/Rutoro Runyoro/Rutoro Runyoro/Rutoro Runyoro/Rutoro Runyoro/Rutoro Lusoga Lusoga Lusoga Lusoga Lusoga Language J Language J Language J Language J Language J Language K Language K Language K Language K Language K Language L Language L Language L Language L Language L Language M Language M Language M Language M Language M Other language Other language Other language Other language Other language No other language No other language No other language No other language No other language Fieldworker's mother tongue/native language Fieldworker's mother tongue/native language Fieldworker's mother tongue/native language Fieldworker's mother tongue/native language Fieldworker's mother tongue/native language 10 English 11 Luganda 12 Luo 13 Lugbara 14 Ateso 15 Ngakarimojong 16 Runyankole/Rukiga 17 Runyoro/Rutoro 18 Lusoga 96 Other Has fieldworker ever worked on a DHS/MIS Has fieldworker ever worked on a DHS/MIS Has fieldworker ever worked on a DHS/MIS Has fieldworker ever worked on a DHS/MIS Has fieldworker ever worked on a DHS/MIS 1 Yes 2 No Has fieldworker ever worked on any other survey Has fieldworker ever worked on any other survey Has fieldworker ever worked on any other survey Has fieldworker ever worked on any other survey Has fieldworker ever worked on any other survey 1 Yes 2 No Was fieldworker working for agency at the time employed for DHS Was fieldworker working for agency at the time employed for DHS Was fieldworker working for agency at the time employed for DHS Was fieldworker working for agency at the time employed for DHS Was fieldworker working for agency at the time employed for DHS 1 Yes, UBOS 2 Yes, MOH 3 Yes, NMCP 4 No Is fieldworker a permanent or temporary employee of agency Is fieldworker a permanent or temporary employee of agency Is fieldworker a permanent or temporary employee of agency Is fieldworker a permanent or temporary employee of agency Is fieldworker a permanent or temporary employee of agency 1 Permanent 2 Temporary