DDI_RWA_2017_MIS_v01_M Development Data Group 2018-09-12 NADA Version 01 (September 2018) Malaria Indicator Survey 2017 MIS / RMIS 2017 RWA_2017_MIS_v01_M Malaria and Other Parasitic Diseases Division of the Rwanda Biomedical Center ICF NADA Government of Rwanda United States President’s Malaria Initiative Global Fund United States Agency for International Development Information about The DHS Program General Inquiries Data and Data Related Resources Malaria Indicator Survey The 2017 Rwanda Malaria Indicator Survey (RMIS) is the second survey of its kind in Rwanda. It is a nationwide survey with a nationally representative sample of approximately 5,041 households. The survey provides information on key malaria control indictors, such as the proportion of households having at least one bed net and at least one insecticide-treated net (ITN). The data dictionary was generated from hierarchical data that was downloaded from the DHS website (http://dhsprogram.com). The 2017 Rwanda Malaria Indicator Survey (RMIS) is a nationwide survey with a nationally representative sample of approximately 5,041 households. The survey provides information on key malaria control indictors, such as the proportion of households having at least one bed net and at least one insecticide-treated net (ITN). It looks at the proportion under age 5 who slept under a bed net the previous night, and under an ITN, and tests for the prevalence of malaria among all household members. Among pregnant women, the survey assesses the proportion of pregnant women who slept under a bed net the previous night. The primary objective of the 2017 RMIS project is to provide up-to-date estimates of basic demographic and health indicators related to malaria. Specifically, the 2017 RMIS collected information on household ownership of mosquito nets, care seeking behavior by adults, and treatment of fever in children. All members of sampled households were also tested for malaria infection. Knowledge of malaria was assessed among interviewed women. The information collected through the 2017 RMIS is intended to assist policy makers and program managers in evaluating and designing programs and strategies for improving the health of the country’s population. Rwanda National coverage - Household - Woman age 15 to 49 Sample survey data [ssd] The survey covered the following topics: HOUSEHOLD • Identification • Background information on each person listed, such as relationship to head of the household, age, sex, marital status, availability of health insurance, and wealth level • Characteristics of the household's dwelling unit, such as the source of water, type of toilet facilities, type of fuel used for cooking, number of rooms, materials used for the floor, roof and walls of the house, possessions of livestock (inluding land) and durable goods • Mosquito nets WOMEN • Identification • Background characteristics (age, residential history, education, literacy, and religion) • Reproductive history for the last 5 years • Prevalence and treatment of fever among children under age 5 • Knowledge about malaria (symptoms, causes, and how to prevent) • Sources of messages about malaria Biomarker • Identification • Malaria testing for children age 6 months - 14 years • Malaria testing for adults age 15 and above Malaria and Other Parasitic Diseases Division of the Rwanda Biomedical Center The 2017 RMIS followed a two-stage sample design that would allow estimates of key indicators to be determined for the nation as a whole, for urban and rural areas, and for the five provinces. In the first stage, sample points, or clusters, were selected from the sampling frame, which consisted of enumeration areas (EAs) delineated during the 2012 Population and Housing Census. A total of 170 clusters with probability proportional to size were selected from these EAs. In the second stage, sampling involved systematic selection of households. A household listing operation was undertaken in all selected EAs during the main data collection. Households to be included in the survey were then randomly selected from these lists. Thirty households were selected from each EA, for a total sample size of 5,100 households. Because of the approximately equal sample size for each region, the sample is not selfweighting at the national level. Results shown in this report have been weighted to account for the complex sample design. See Appendix A for additional details on the sampling procedures. Note: See Appendix A of the final report for additional details on the sampling procedure. Face-to-face [f2f] Data was primarily collected using three questionnaires: the Household Questionnaire, the Woman’s Questionnaire, and the Biomarker Questionnaire. Core questionnaires available from the RBM-MERG were adapted to reflect the population and health issues relevant to Rwanda. Fifteen teams were organized for field data collection. Each team consisted of one field supervisor, two health professionals to interview and administer treatment, one laboratory technician to conduct biomarker testing, and one driver. The field staff also included national coordinators who collected slides from the field teams and delivered them to the Malaria Laboratory of the National Referral Laboratory. Field data collection for the 2017 RMIS started on October 23, 2017. For maximum effect, survey coordinators visited all 15 teams at least twice per week. Fieldwork concluded on December 23, 2017. A spreadsheet containing all sampling parameters and selection probabilities will be constructed to facilitate the calculation of sampling weights. Household sampling weights and the women’s individual sampling weights are obtained by adjusting the above-calculated weight to compensate for household nonresponse and women’s individual nonresponse, respectively. These weights will be further normalized at the national level to produce unweighted cases equal to weighted cases for both households and individual women at the national level. The normalized weights are valid for estimation of proportions and means at any aggregation levels, but not valid for estimation of totals. Details of sampling weight calculation is available in Appendix A.4 of the final report. Data entry began on November 1, 2017, 2 weeks after the survey launched in the field. Data were entered by a team of eight data processing personnel recruited and trained for this task. They were assisted during these operations by two staff members who aided in questionnaire reception, data verification, and coding. Completed questionnaires were periodically brought in from the field to the MOPDD headquarters, where assigned agents checked them and coded the open-ended questions. Next, the questionnaires were sent to the data entry facility and the blood samples (blood smear slides) were sent to the lab to be read for the malaria parasites. Data were entered using CSPro, a program developed jointly by the United States Census Bureau, the ORC Macro MEASURE DHS+ program, and Serpro S.A. Processing the data concurrent with data collection allowed for regular monitoring of teams’ performance and data quality. Field check tables were regularly generated during data processing to check various data quality parameters. As a result, feedback was given on a regular basis, encouraging teams to continue quality work and to correct areas in need of improvement. Feedback was individually tailored to each team. Data entry, which included 100% double entry to minimize keying error, was completed on December 31, 2017. Data editing, was completed on January 26, 2018. Data cleaning and finalization was completed on February 9, 2018. A total of 5,096 households selected for the sample, 5,061 were occupied at the time of fieldwork. Among the occupied households, 5,041 were successfully interviewed, yielding a total household response rate of 99.6%. In the interviewed households, 5,088 women were identified as eligible for individual interview, and 5,022 were successfully interviewed, yielding a response rate of 98.7%. The estimates from a sample survey are affected by two types of errors: nonsampling errors and sampling errors. Nonsampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the Rwanda MIS 2017 (2017 RMIS) to minimize this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically. Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2017 RMIS is only one of many samples that could have been selected from the same population, using the same design and expected size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability among all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results. A sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95 percent of all possible samples of identical size and design. If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2017 RMIS sample is the result of a multi-stage stratified design, and, consequently, it was necessary to use more complex formulas. The computer software used to calculate sampling errors for the 2017 RMIS is a SAS program. This program used the Taylor linearization method of variance estimation for survey estimates that are means, proportions, or ratios. Note: Detailed description of sampling error estimates is presented in APPENDIX B of the final report. Data quality tables are produced to review the quality of the data: - Household age distribution - Age distribution of eligible and interviewed women - Completeness of reporting - Births by calendar years - Household composition Note: The tables are presented in APPENDIX C of the final report. 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 HOUSEHOLD - Household's basic data 5096 51 RECH1 HOUSEHOLD - Household Schedule 20011 15 RECH2 HOUSEHOLD - Household Characteristics 5041 66 RECH3 HOUSEHOLD - Survey specific Household variables 5096 70 RECHMH HOUSEHOLD - Malaria: by Household Member 20011 39 RECHML HOUSEHOLD - Malaria: by Mosquito Bed Net 9683 28 REC01 WOMAN - Respondent's basic data 5088 39 REC4A WOMAN - Child's health 2946 34 REC11 WOMAN - Respondent's basic data (continued) 5022 43 REC21 WOMAN - Reproduction and Birth History 3384 23 REC22 WOMAN - Reproduction (continued) 5022 23 REC41 WOMAN - Maternity 2257 27 REC42 WOMAN - Health and Breastfeeding 5022 7 REC81 WOMAN - Characteristics of Interview 5022 15 REC91 WOMAN - Country specific variables 5088 71 RECML WOMAN - Malaria 2946 69 FWRECORD Fieldworker data 60 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 Keyer identification Keyer identification Keyer identification Keyer identification 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 Kigali city - urban 2 Kigali city - rural 3 South - urban 4 South - rural 5 West - urban 6 West - rural 7 North - urban 8 North - rural 9 East - urban 10 East - rural 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 Kigali city - urban 2 Kigali city - rural 3 South - urban 4 South - rural 5 West - urban 6 West - rural 7 North - urban 8 North - rural 9 East - urban 10 East - rural Region Region Region Region Region 1 Kigali city 2 South 3 West 4 North 5 East 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 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 Office editor Office editor Office editor Office editor 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 NA - Cluster altitude in meters NA - Cluster altitude in meters NA - Cluster altitude in meters NA - Cluster altitude in meters NA - 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 Kinyarwanda Language of interview Language of interview Language of interview Language of interview Language of interview 1 English 2 Kinyarwanda Native language of respondent Native language of respondent Native language of respondent Native language of respondent Native language of respondent 1 English 2 Kinyarwanda 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 child 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 Current marital status Current marital status Current marital status Current marital status Current marital status Never married 1 Married 2 Living together 3 Widowed 4 Divorced 5 Not living together Currently, formerly, never married Currently, formerly, never married Currently, formerly, never married Currently, formerly, never married Currently, formerly, never married Never married 1 Currently married 2 Formerly/ever married 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 malaria Children eligibility for malaria Children eligibility for malaria Children eligibility for malaria Children eligibility for malaria Not eligible 1 Eligible Adult eligibility for malaria testing Adult eligibility for malaria testing Adult eligibility for malaria testing Adult eligibility for malaria testing Adult eligibility for malaria testing Not eligible 1 Eligible Health insurance coverage Health insurance coverage Health insurance coverage Health insurance coverage Health insurance coverage No 1 Yes 8 Don't know Health insurance type Health insurance type Health insurance type Health insurance type Health insurance type 1 Mutuelle/Community Health Insurance 2 Rama 3 MMI 4 Private/commercial 5 Other 8 Don't know Wealth Level Wealth Level Wealth Level Wealth Level Wealth Level 1 Poorest 2 Poor 3 Middle 4 Rich 8 Don't know 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 62 Cart with small tank 71 Bottled 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 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 11 Earth/sand 12 Dung 21 Wood planks 22 Palm/bamboo 31 Parquet or polished wood 32 Vinyl or asphalt strips 33 Ceramic tiles 34 Cement 35 Carpet 36 Bricks 96 Other Main wall material Main wall material Main wall material Main wall material Main wall material 11 No walls 12 Cane/palm/trunks 13 Dirt 21 Bamboo with mud 22 Stone with mud 23 Uncovered adobe 24 Plywood 25 Cardboard 26 Reused wood 31 Cement 32 Stone with lime/cement 33 Bricks 34 Cement blocks 35 Covered adobe 36 Wood planks/shingles 96 Other Main roof material Main roof material Main roof material Main roof material Main roof material 11 No roof 12 Thatch/palm leaf 13 Sod 21 Rustic mat 22 Palm/bamboo 23 Wood planks 24 Cardboard 31 Metal 32 Wood 33 Calamine/cement fiber 34 Ceramic tiles 35 Cement 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 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 Owns cattle Owns cattle Owns cattle Owns cattle Owns cattle None 95 95 or more 98 Unknown Owns cows/ bulls Owns cows/ bulls Owns cows/ bulls Owns cows/ bulls 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 bulls Owns bulls Owns bulls Owns bulls Owns bulls None 95 95 or more 98 Unknown Owns pigs Owns pigs Owns pigs Owns pigs Owns pigs None 95 95 or more 98 Unknown Owns rabbits Owns rabbits Owns rabbits Owns rabbits Owns rabbits 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 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 Has bank account Has bank account Has bank account Has bank account Has bank account No 1 Yes 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 11 Nyarugenge 12 Gasabo 13 Kicukiro 21 Nyanza 22 Gisagara 23 Nyaruguru 24 Huye 25 Nyamagabe 26 Ruhango 27 Muhanga 28 Kamonyi 31 Karongi 32 Rutsiro 33 Rubavu 34 Nyabihu 35 Ngororero 36 Rusizi 37 Nyamasheke 41 Rulindo 42 Gakenke 43 Musanze 44 Burera 45 Gicumbi 51 Rwamagana 52 Nyagatare 53 Gatsibo 54 Kayonza 55 Kirehe 56 Ngoma 57 Bugesera Heard of malaria Heard of malaria Heard of malaria Heard of malaria Heard of malaria No 1 Yes Symptom of malaria: Fever Symptom of malaria: Fever Symptom of malaria: Fever Symptom of malaria: Fever Symptom of malaria: Fever No 1 Yes Symptom of malaria: Feeling cold Symptom of malaria: Feeling cold Symptom of malaria: Feeling cold Symptom of malaria: Feeling cold Symptom of malaria: Feeling cold No 1 Yes Symptom of malaria: Headache Symptom of malaria: Headache Symptom of malaria: Headache Symptom of malaria: Headache Symptom of malaria: Headache No 1 Yes Symptom of malaria: Nausea and vomiting Symptom of malaria: Nausea and vomiting Symptom of malaria: Nausea and vomiting Symptom of malaria: Nausea and vomiting Symptom of malaria: Nausea and vomiting No 1 Yes Symptom of malaria: Diarrhea Symptom of malaria: Diarrhea Symptom of malaria: Diarrhea Symptom of malaria: Diarrhea Symptom of malaria: Diarrhea No 1 Yes Symptom of malaria: Dizziness Symptom of malaria: Dizziness Symptom of malaria: Dizziness Symptom of malaria: Dizziness Symptom of malaria: Dizziness No 1 Yes Symptom of malaria: Loss of appetite Symptom of malaria: Loss of appetite Symptom of malaria: Loss of appetite Symptom of malaria: Loss of appetite Symptom of malaria: Loss of appetite No 1 Yes Symptom of malaria: Body ache or joint pain Symptom of malaria: Body ache or joint pain Symptom of malaria: Body ache or joint pain Symptom of malaria: Body ache or joint pain Symptom of malaria: Body ache or joint pain No 1 Yes Symptom of malaria: Pale eyes Symptom of malaria: Pale eyes Symptom of malaria: Pale eyes Symptom of malaria: Pale eyes Symptom of malaria: Pale eyes No 1 Yes Symptom of malaria: Salty tasting palms Symptom of malaria: Salty tasting palms Symptom of malaria: Salty tasting palms Symptom of malaria: Salty tasting palms Symptom of malaria: Salty tasting palms No 1 Yes Symptom of malaria: Body weakness Symptom of malaria: Body weakness Symptom of malaria: Body weakness Symptom of malaria: Body weakness Symptom of malaria: Body weakness No 1 Yes Symptom of malaria: Refusing to eat or drink Symptom of malaria: Refusing to eat or drink Symptom of malaria: Refusing to eat or drink Symptom of malaria: Refusing to eat or drink Symptom of malaria: Refusing to eat or drink No 1 Yes Symptom of malaria: Other Symptom of malaria: Other Symptom of malaria: Other Symptom of malaria: Other Symptom of malaria: Other No 1 Yes Malaria is caused by: Mosquito bites Malaria is caused by: Mosquito bites Malaria is caused by: Mosquito bites Malaria is caused by: Mosquito bites Malaria is caused by: Mosquito bites No 1 Yes Malaria is caused by: Eating immature sugar cane Malaria is caused by: Eating immature sugar cane Malaria is caused by: Eating immature sugar cane Malaria is caused by: Eating immature sugar cane Malaria is caused by: Eating immature sugar cane No 1 Yes Malaria is caused by: Eating dirty food Malaria is caused by: Eating dirty food Malaria is caused by: Eating dirty food Malaria is caused by: Eating dirty food Malaria is caused by: Eating dirty food No 1 Yes Malaria is caused by: Drinking dirty water Malaria is caused by: Drinking dirty water Malaria is caused by: Drinking dirty water Malaria is caused by: Drinking dirty water Malaria is caused by: Drinking dirty water No 1 Yes Malaria is caused by: Getting soaked with rain Malaria is caused by: Getting soaked with rain Malaria is caused by: Getting soaked with rain Malaria is caused by: Getting soaked with rain Malaria is caused by: Getting soaked with rain No 1 Yes Malaria is caused by: Cold or changing weather Malaria is caused by: Cold or changing weather Malaria is caused by: Cold or changing weather Malaria is caused by: Cold or changing weather Malaria is caused by: Cold or changing weather No 1 Yes Malaria is caused by: Witchcraft Malaria is caused by: Witchcraft Malaria is caused by: Witchcraft Malaria is caused by: Witchcraft Malaria is caused by: Witchcraft No 1 Yes Malaria is caused by: Living in a house surrounded by bushes Malaria is caused by: Living in a house surrounded by bushes Malaria is caused by: Living in a house surrounded by bushes Malaria is caused by: Living in a house surrounded by bushes Malaria is caused by: Living in a house surrounded by bushes No 1 Yes Malaria is caused by: Other Malaria is caused by: Other Malaria is caused by: Other Malaria is caused by: Other Malaria is caused by: Other No 1 Yes Malaria is caused by: Don't know Malaria is caused by: Don't know Malaria is caused by: Don't know Malaria is caused by: Don't know Malaria is caused by: Don't know No 1 Yes - Don't know Protect against malaria by: Sleep under a mosquito net Protect against malaria by: Sleep under a mosquito net Protect against malaria by: Sleep under a mosquito net Protect against malaria by: Sleep under a mosquito net Protect against malaria by: Sleep under a mosquito net No 1 Yes Protect against malaria by: Sleep under an ITN Protect against malaria by: Sleep under an ITN Protect against malaria by: Sleep under an ITN Protect against malaria by: Sleep under an ITN Protect against malaria by: Sleep under an ITN No 1 Yes Protect against malaria by: Using mosquito repellant Protect against malaria by: Using mosquito repellant Protect against malaria by: Using mosquito repellant Protect against malaria by: Using mosquito repellant Protect against malaria by: Using mosquito repellant No 1 Yes Protect against malaria by: Avoid mosquito bites Protect against malaria by: Avoid mosquito bites Protect against malaria by: Avoid mosquito bites Protect against malaria by: Avoid mosquito bites Protect against malaria by: Avoid mosquito bites No 1 Yes Protect against malaria by: Take preventive medication Protect against malaria by: Take preventive medication Protect against malaria by: Take preventive medication Protect against malaria by: Take preventive medication Protect against malaria by: Take preventive medication No 1 Yes Protect against malaria by: Spray house with insecticide Protect against malaria by: Spray house with insecticide Protect against malaria by: Spray house with insecticide Protect against malaria by: Spray house with insecticide Protect against malaria by: Spray house with insecticide No 1 Yes Protect against malaria by: Use mosquito coils Protect against malaria by: Use mosquito coils Protect against malaria by: Use mosquito coils Protect against malaria by: Use mosquito coils Protect against malaria by: Use mosquito coils No 1 Yes Protect against malaria by: Cut grass around house Protect against malaria by: Cut grass around house Protect against malaria by: Cut grass around house Protect against malaria by: Cut grass around house Protect against malaria by: Cut grass around house No 1 Yes Protect against malaria by: Fill in puddles Protect against malaria by: Fill in puddles Protect against malaria by: Fill in puddles Protect against malaria by: Fill in puddles Protect against malaria by: Fill in puddles No 1 Yes Protect against malaria by: Keep house surroundings clean Protect against malaria by: Keep house surroundings clean Protect against malaria by: Keep house surroundings clean Protect against malaria by: Keep house surroundings clean Protect against malaria by: Keep house surroundings clean No 1 Yes Protect against malaria by: Burn leaves Protect against malaria by: Burn leaves Protect against malaria by: Burn leaves Protect against malaria by: Burn leaves Protect against malaria by: Burn leaves No 1 Yes Protect against malaria by: Don't drink dirty water Protect against malaria by: Don't drink dirty water Protect against malaria by: Don't drink dirty water Protect against malaria by: Don't drink dirty water Protect against malaria by: Don't drink dirty water No 1 Yes Protect against malaria by: Don't eat bad food Protect against malaria by: Don't eat bad food Protect against malaria by: Don't eat bad food Protect against malaria by: Don't eat bad food Protect against malaria by: Don't eat bad food No 1 Yes Protect against malaria by: Put screens on windows Protect against malaria by: Put screens on windows Protect against malaria by: Put screens on windows Protect against malaria by: Put screens on windows Protect against malaria by: Put screens on windows No 1 Yes Protect against malaria by: Don't get soaked with rain Protect against malaria by: Don't get soaked with rain Protect against malaria by: Don't get soaked with rain Protect against malaria by: Don't get soaked with rain Protect against malaria by: Don't get soaked with rain No 1 Yes Protect against malaria by: Close windows/doors in the evening Protect against malaria by: Close windows/doors in the evening Protect against malaria by: Close windows/doors in the evening Protect against malaria by: Close windows/doors in the evening Protect against malaria by: Close windows/doors in the evening No 1 Yes Protect against malaria by: Other Protect against malaria by: Other Protect against malaria by: Other Protect against malaria by: Other Protect against malaria by: Other No 1 Yes Protect against malaria by: Don't know Protect against malaria by: Don't know Protect against malaria by: Don't know Protect against malaria by: Don't know Protect against malaria by: Don't know No 1 Yes - Don't know Malaria treatment at: Ref hospital Malaria treatment at: Ref hospital Malaria treatment at: Ref hospital Malaria treatment at: Ref hospital Malaria treatment at: Ref hospital No 1 Yes Malaria treatment at: District hospital Malaria treatment at: District hospital Malaria treatment at: District hospital Malaria treatment at: District hospital Malaria treatment at: District hospital No 1 Yes Malaria treatment at: Health center Malaria treatment at: Health center Malaria treatment at: Health center Malaria treatment at: Health center Malaria treatment at: Health center No 1 Yes Malaria treatment at: Health post Malaria treatment at: Health post Malaria treatment at: Health post Malaria treatment at: Health post Malaria treatment at: Health post No 1 Yes Malaria treatment at: Outreach Malaria treatment at: Outreach Malaria treatment at: Outreach Malaria treatment at: Outreach Malaria treatment at: Outreach No 1 Yes Malaria treatment at: CWH Malaria treatment at: CWH Malaria treatment at: CWH Malaria treatment at: CWH Malaria treatment at: CWH No 1 Yes Malaria treatment at: Other public facility Malaria treatment at: Other public facility Malaria treatment at: Other public facility Malaria treatment at: Other public facility Malaria treatment at: Other public facility No 1 Yes Malaria treatment at: Polyclinic Malaria treatment at: Polyclinic Malaria treatment at: Polyclinic Malaria treatment at: Polyclinic Malaria treatment at: Polyclinic No 1 Yes Malaria treatment at: Clinic Malaria treatment at: Clinic Malaria treatment at: Clinic Malaria treatment at: Clinic Malaria treatment at: Clinic No 1 Yes Malaria treatment at: Dispensary Malaria treatment at: Dispensary Malaria treatment at: Dispensary Malaria treatment at: Dispensary Malaria treatment at: Dispensary No 1 Yes Malaria treatment at: Pharmacy Malaria treatment at: Pharmacy Malaria treatment at: Pharmacy Malaria treatment at: Pharmacy Malaria treatment at: Pharmacy No 1 Yes Malaria treatment at: Other private medical Malaria treatment at: Other private medical Malaria treatment at: Other private medical Malaria treatment at: Other private medical Malaria treatment at: Other private medical No 1 Yes Malaria treatment at: Kiosk Malaria treatment at: Kiosk Malaria treatment at: Kiosk Malaria treatment at: Kiosk Malaria treatment at: Kiosk No 1 Yes Malaria treatment at: Traditional practitioner Malaria treatment at: Traditional practitioner Malaria treatment at: Traditional practitioner Malaria treatment at: Traditional practitioner Malaria treatment at: Traditional practitioner No 1 Yes Malaria treatment at: Church Malaria treatment at: Church Malaria treatment at: Church Malaria treatment at: Church Malaria treatment at: Church No 1 Yes Malaria treatment at: Friend / relative Malaria treatment at: Friend / relative Malaria treatment at: Friend / relative Malaria treatment at: Friend / relative Malaria treatment at: Friend / relative No 1 Yes Malaria treatment at: Other Malaria treatment at: Other Malaria treatment at: Other Malaria treatment at: Other Malaria treatment at: Other No 1 Yes Malaria treatment at: Don't know Malaria treatment at: Don't know Malaria treatment at: Don't know Malaria treatment at: Don't know Malaria treatment at: Don't know No 1 Yes - Don't know Seen or heard any messages about malaria Seen or heard any messages about malaria Seen or heard any messages about malaria Seen or heard any messages about malaria Seen or heard any messages about malaria No 1 Yes Messages seen or heard on the radio Messages seen or heard on the radio Messages seen or heard on the radio Messages seen or heard on the radio Messages seen or heard on the radio No 1 Yes Messages seen or heard on the television Messages seen or heard on the television Messages seen or heard on the television Messages seen or heard on the television Messages seen or heard on the television No 1 Yes Messages seen or heard on a poster or billboard Messages seen or heard on a poster or billboard Messages seen or heard on a poster or billboard Messages seen or heard on a poster or billboard Messages seen or heard on a poster or billboard No 1 Yes Messages seen or heard from a community health worker Messages seen or heard from a community health worker Messages seen or heard from a community health worker Messages seen or heard from a community health worker Messages seen or heard from a community health worker No 1 Yes Messages seen or heard at a community event Messages seen or heard at a community event Messages seen or heard at a community event Messages seen or heard at a community event Messages seen or heard at a community event No 1 Yes Messages seen or heard anywhere else Messages seen or heard anywhere else Messages seen or heard anywhere else Messages seen or heard anywhere else Messages seen or heard anywhere else 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 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 Net treated with insecticide when bought Net treated with insecticide when bought Net treated with insecticide when bought Net treated with insecticide when bought 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 11 LLIN - Tana 12 LLIN - DCT 13 LLIN - Olyset 14 LLIN - Permanet 15 LLIN - Dawa plus 16 LLIN - Tuza net 17 LLIN - Other type 96 Other type 98 Don't know type 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 Time since last re-treatment (months) Time since last re-treatment (months) Time since last re-treatment (months) Time since last re-treatment (months) 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 Government health facility 20 Private health facility 30 Other sources 31 Pharmacy 32 Shop/market 33 CHW 34 Religious institution 35 School 96 Other 98 Don't know Manufacturing year Manufacturing year Manufacturing year Manufacturing year Manufacturing year 9998 Don't know Hole in mosquito net Hole in mosquito net Hole in mosquito net Hole in mosquito net Hole in mosquito net No 1 Yes Shape of mosquito net Shape of mosquito net Shape of mosquito net Shape of mosquito net Shape of mosquito net 1 Conical 2 Rectangle Color of the net Color of the net Color of the net Color of the net Color of the net 1 White 2 Green 3 Blue 4 Red 6 Other Hanged net Hanged net Hanged net Hanged net Hanged net No 1 Yes Reason for not hanging the net Reason for not hanging the net Reason for not hanging the net Reason for not hanging the net Reason for not hanging the net 1 Have many nets 2 Use for other purposes 3 The net is being washed 4 Hang only in the evening 5 The net is too old 6 Other Reason why no one slept under the mosquito net last night Reason why no one slept under the mosquito net last night Reason why no one slept under the mosquito net last night Reason why no one slept under the mosquito net last night Reason why no one slept under the mosquito net last night 1 Too hot 2 Too cold 3 Net used for other purposes 4 Net not hanged 5 Bugs in net 6 Other 7 Net too old 8 Don't know Material of net preferred Material of net preferred Material of net preferred Material of net preferred Material of net preferred 1 Polyesther 2 Polyethylene Number of times mosquito nets washed Number of times mosquito nets washed Number of times mosquito nets washed Number of times mosquito nets washed Number of times mosquito nets washed 96 95 + times 98 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 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 Net Designation Number (HMLIDX) for 3rd net person slept under last night Net Designation Number (HMLIDX) for 3rd net person slept under last night Net Designation Number (HMLIDX) for 3rd net person slept under last night Net Designation Number (HMLIDX) for 3rd net person slept under last night 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) 96 96+ 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 6 Other Fieldworker measurer code Fieldworker measurer code Fieldworker measurer code Fieldworker measurer code Fieldworker measurer code Malaria in the past 4 weeks Malaria in the past 4 weeks Malaria in the past 4 weeks Malaria in the past 4 weeks Malaria in the past 4 weeks No 1 Yes Extreme weakness Extreme weakness Extreme weakness Extreme weakness Extreme weakness No 1 Yes Heart problems Heart problems Heart problems Heart problems Heart problems No 1 Yes Loss of consciousness Loss of consciousness Loss of consciousness Loss of consciousness Loss of consciousness No 1 Yes Rapid or difficult breathing Rapid or difficult breathing Rapid or difficult breathing Rapid or difficult breathing Rapid or difficult breathing No 1 Yes Seizures Seizures Seizures Seizures Seizures No 1 Yes Abnormal bleeding Abnormal bleeding Abnormal bleeding Abnormal bleeding Abnormal bleeding No 1 Yes Jaundice or yellow skin Jaundice or yellow skin Jaundice or yellow skin Jaundice or yellow skin Jaundice or yellow skin No 1 Yes Dark urine Dark urine Dark urine Dark urine Dark urine No 1 Yes Coartem taken in the past two weeks Coartem taken in the past two weeks Coartem taken in the past two weeks Coartem taken in the past two weeks Coartem taken in the past two weeks No 1 Yes Consent for malaria treatment Consent for malaria treatment Consent for malaria treatment Consent for malaria treatment Consent for malaria treatment 1 Accepted medicine 2 Refused 6 Other Accepted medication Accepted medication Accepted medication Accepted medication Accepted medication 1 Accepted medecine 2 Refused 6 Other Currently pregnant Currently pregnant Currently pregnant Currently pregnant Currently pregnant No 1 Yes 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 Kigali city - urban 2 Kigali city - rural 3 South - urban 4 South - rural 5 West - urban 6 West - rural 7 North - urban 8 North - rural 9 East - urban 10 East - rural 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 Kigali city - urban 2 Kigali city - rural 3 South - urban 4 South - rural 5 West - urban 6 West - rural 7 North - urban 8 North - rural 9 East - urban 10 East - rural Region Region Region Region Region 1 Kigali city 2 South 3 West 4 North 5 East 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 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 Keyer identification Keyer identification Keyer identification Keyer identification 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 Office editor Office editor Office editor Office editor 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 NA - Cluster altitude in meters NA - Cluster altitude in meters NA - Cluster altitude in meters NA - Cluster altitude in meters NA - 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 Kinyarwanda Language of interview Language of interview Language of interview Language of interview Language of interview 1 English 2 Kinyarwanda Native language of respondent Native language of respondent Native language of respondent Native language of respondent Native language of respondent 1 English 2 Kinyarwanda 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 Kigali city 2 South 3 West 4 North 5 East 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 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 71 Bottled 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 11 Earth/sand 12 Dung 21 Wood planks 22 Palm/bamboo 31 Parquet or polished wood 32 Vinyl or asphalt strips 33 Ceramic tiles 34 Cement 35 Carpet 36 Bricks 96 Other 97 Not a dejure resident Main wall material Main wall material Main wall material Main wall material Main wall material 11 No walls 12 Cane/palm/trunks 13 Dirt 21 Bamboo with mud 22 Stone with mud 23 Uncovered adobe 24 Plywood 25 Cardboard 26 Reused wood 31 Cement 32 Stone with lime/cement 33 Bricks 34 Cement blocks 35 Covered adobe 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 11 No roof 12 Thatch/palm leaf 13 Sod 21 Rustic mat 22 Palm/bamboo 23 Wood planks 24 Cardboard 31 Metal 32 Wood 33 Calamine/cement fiber 34 Ceramic tiles 35 Cement 36 Roofing shingles 96 Other 97 Not a dejure resident Religion Religion Religion Religion Religion 1 Catholic 2 Protestant 3 Adventist 4 Muslim 5 Traditional 7 No religion 96 Other NA - Ethnicity NA - Ethnicity NA - Ethnicity NA - Ethnicity NA - Ethnicity 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 1 Kigali city 2 South 3 West 4 North 5 East 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 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 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 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: auxiliary midwife Prenatal: auxiliary midwife Prenatal: auxiliary midwife Prenatal: auxiliary midwife Prenatal: auxiliary midwife 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 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 NA - During pregnancy took: SP/fansidar for malaria NA - During pregnancy took: SP/fansidar for malaria NA - During pregnancy took: SP/fansidar for malaria NA - During pregnancy took: SP/fansidar for malaria NA - 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 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 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 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: ref. hospital Fever/cough: ref. hospital Fever/cough: ref. hospital Fever/cough: ref. hospital Fever/cough: ref. hospital No 1 Yes Fever/cough: prov./dist. hospital Fever/cough: prov./dist. hospital Fever/cough: prov./dist. hospital Fever/cough: prov./dist. hospital Fever/cough: prov./dist. hospital No 1 Yes Fever/cough: health center Fever/cough: health center Fever/cough: health center Fever/cough: health center Fever/cough: health center No 1 Yes Fever/cough: health post Fever/cough: health post Fever/cough: health post Fever/cough: health post Fever/cough: health post No 1 Yes Fever/cough: outreach Fever/cough: outreach Fever/cough: outreach Fever/cough: outreach Fever/cough: outreach No 1 Yes Fever/cough: chw Fever/cough: chw Fever/cough: chw Fever/cough: chw Fever/cough: chw No 1 Yes Fever/cough: other public facility Fever/cough: other public facility Fever/cough: other public facility Fever/cough: other public facility Fever/cough: other public facility 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: polyclinic Fever/cough: polyclinic Fever/cough: polyclinic Fever/cough: polyclinic Fever/cough: polyclinic No 1 Yes Fever/cough: private pharmacy Fever/cough: private pharmacy Fever/cough: private pharmacy Fever/cough: private pharmacy Fever/cough: private pharmacy No 1 Yes NA - Fever/cough: private doctor NA - Fever/cough: private doctor NA - Fever/cough: private doctor NA - Fever/cough: private doctor NA - Fever/cough: private doctor No 1 Yes Fever/cough: clinic Fever/cough: clinic Fever/cough: clinic Fever/cough: clinic Fever/cough: clinic No 1 Yes Fever/cough: dispensary Fever/cough: dispensary Fever/cough: dispensary Fever/cough: dispensary Fever/cough: dispensary No 1 Yes Fever/cough: other private medical facility Fever/cough: other private medical facility Fever/cough: other private medical facility Fever/cough: other private medical facility Fever/cough: other private medical facility 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: kiosk/shop Fever/cough: kiosk/shop Fever/cough: kiosk/shop Fever/cough: kiosk/shop Fever/cough: kiosk/shop No 1 Yes Fever/cough: traditional healer Fever/cough: traditional healer Fever/cough: traditional healer Fever/cough: traditional healer Fever/cough: traditional healer No 1 Yes Fever/cough: church Fever/cough: church Fever/cough: church Fever/cough: church Fever/cough: church No 1 Yes Fever/cough: friend/relative Fever/cough: friend/relative Fever/cough: friend/relative Fever/cough: friend/relative Fever/cough: friend/relative 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 11 Public reference hospital 12 Public provincial/district hospital 13 Public government health center 14 Public government health post 15 Outreach 16 Public Community Health Worker 17 Other public facility 21 Private polyclinic 22 Private clinic 23 Private dispensary 24 Private pharmacy 25 Other private medical facility 31 Other source kiosk/shop 32 Other source traditional healer 33 Other source church 34 Other source friend/relative 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 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 Keyer identification Keyer identification Keyer identification Keyer identification Keyer identification NA - Presence of children < 10 for 'Wife beating justified' questions NA - Presence of children < 10 for 'Wife beating justified' questions NA - Presence of children < 10 for 'Wife beating justified' questions NA - Presence of children < 10 for 'Wife beating justified' questions NA - Presence of children < 10 for 'Wife beating justified' questions No 1 Yes - listening 2 Yes - not listening NA - Presence of husband for 'Wife beating justified' questions NA - Presence of husband for 'Wife beating justified' questions NA - Presence of husband for 'Wife beating justified' questions NA - Presence of husband for 'Wife beating justified' questions NA - Presence of husband for 'Wife beating justified' questions No 1 Yes - listening 2 Yes - not listening NA - Presence of other males for 'Wife beating justified' questions NA - Presence of other males for 'Wife beating justified' questions NA - Presence of other males for 'Wife beating justified' questions NA - Presence of other males for 'Wife beating justified' questions NA - Presence of other males for 'Wife beating justified' questions No 1 Yes - listening 2 Yes - not listening NA - Presence of other females for 'Wife beating justified' questions NA - Presence of other females for 'Wife beating justified' questions NA - Presence of other females for 'Wife beating justified' questions NA - Presence of other females for 'Wife beating justified' questions NA - Presence of other females for 'Wife beating justified' questions No 1 Yes - listening 2 Yes - not listening NA - Presence of children < 10 during sexual activity section NA - Presence of children < 10 during sexual activity section NA - Presence of children < 10 during sexual activity section NA - Presence of children < 10 during sexual activity section NA - Presence of children < 10 during sexual activity section No 1 Yes NA - Presence of male adults during sexual activity section NA - Presence of male adults during sexual activity section NA - Presence of male adults during sexual activity section NA - Presence of male adults during sexual activity section NA - Presence of male adults during sexual activity section No 1 Yes NA - Presence of female adults during sexual activity section NA - Presence of female adults during sexual activity section NA - Presence of female adults during sexual activity section NA - Presence of female adults during sexual activity section NA - Presence of female adults during sexual activity section 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 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 NA - Number of times took fansidar during pregnancy NA - Number of times took fansidar during pregnancy NA - Number of times took fansidar during pregnancy NA - Number of times took fansidar during pregnancy NA - Number of times took fansidar during pregnancy 98 Don't know NA - Source of antimalarial during pregnancy NA - Source of antimalarial during pregnancy NA - Source of antimalarial during pregnancy NA - Source of antimalarial during pregnancy NA - 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 NA - Fansidar taken for fever NA - Fansidar taken for fever NA - Fansidar taken for fever NA - Fansidar taken for fever NA - Fansidar taken for fever No 1 Yes NA - Chloroquine taken for fever NA - Chloroquine taken for fever NA - Chloroquine taken for fever NA - Chloroquine taken for fever NA - Chloroquine taken for fever No 1 Yes NA - Amodiaquine taken for fever NA - Amodiaquine taken for fever NA - Amodiaquine taken for fever NA - Amodiaquine taken for fever NA - 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 NA - Timing of start of fansidar NA - Timing of start of fansidar NA - Timing of start of fansidar NA - Timing of start of fansidar NA - 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 NA - Timing of start of chloroquine NA - Timing of start of chloroquine NA - Timing of start of chloroquine NA - Timing of start of chloroquine NA - 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 NA - Timing of start of amodiaquine NA - Timing of start of amodiaquine NA - Timing of start of amodiaquine NA - Timing of start of amodiaquine NA - 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 NA - Timing of start of other anti-malarial use NA - Timing of start of other anti-malarial use NA - Timing of start of other anti-malarial use NA - Timing of start of other anti-malarial use NA - 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 11 Nyarugenge 12 Gasabo 13 Kicukiro 21 Nyanza 22 Gisagara 23 Nyaruguru 24 Huye 25 Nyamagabe 26 Ruhango 27 Muhanga 28 Kamonyi 31 Karongi 32 Rutsiro 33 Rubavu 34 Nyabihu 35 Ngororero 36 Rusizi 37 Nyamasheke 41 Rulindo 42 Gakenke 43 Musanze 44 Burera 45 Gicumbi 51 Rwamagana 52 Nyagatare 53 Gatsibo 54 Kayonza 55 Kirehe 56 Ngoma 57 Bugesera Highest educational level Highest educational level Highest educational level Highest educational level Highest educational level No education 1 Primary 2 Post-primary/vocational 3 Secondary 4 Tertiary 5 Pre-primary Heard of malaria Heard of malaria Heard of malaria Heard of malaria Heard of malaria No 1 Yes Symptom of malaria: Fever Symptom of malaria: Fever Symptom of malaria: Fever Symptom of malaria: Fever Symptom of malaria: Fever No 1 Yes Symptom of malaria: Feeling cold Symptom of malaria: Feeling cold Symptom of malaria: Feeling cold Symptom of malaria: Feeling cold Symptom of malaria: Feeling cold No 1 Yes Symptom of malaria: Headache Symptom of malaria: Headache Symptom of malaria: Headache Symptom of malaria: Headache Symptom of malaria: Headache No 1 Yes Symptom of malaria: Nausea and vomiting Symptom of malaria: Nausea and vomiting Symptom of malaria: Nausea and vomiting Symptom of malaria: Nausea and vomiting Symptom of malaria: Nausea and vomiting No 1 Yes Symptom of malaria: Diarrhea Symptom of malaria: Diarrhea Symptom of malaria: Diarrhea Symptom of malaria: Diarrhea Symptom of malaria: Diarrhea No 1 Yes Symptom of malaria: Dizziness Symptom of malaria: Dizziness Symptom of malaria: Dizziness Symptom of malaria: Dizziness Symptom of malaria: Dizziness No 1 Yes Symptom of malaria: Loss of appetite Symptom of malaria: Loss of appetite Symptom of malaria: Loss of appetite Symptom of malaria: Loss of appetite Symptom of malaria: Loss of appetite No 1 Yes Symptom of malaria: Body ache or joint pain Symptom of malaria: Body ache or joint pain Symptom of malaria: Body ache or joint pain Symptom of malaria: Body ache or joint pain Symptom of malaria: Body ache or joint pain No 1 Yes Symptom of malaria: Pale eyes Symptom of malaria: Pale eyes Symptom of malaria: Pale eyes Symptom of malaria: Pale eyes Symptom of malaria: Pale eyes No 1 Yes Symptom of malaria: Salty tasting palms Symptom of malaria: Salty tasting palms Symptom of malaria: Salty tasting palms Symptom of malaria: Salty tasting palms Symptom of malaria: Salty tasting palms No 1 Yes Symptom of malaria: Body weakness Symptom of malaria: Body weakness Symptom of malaria: Body weakness Symptom of malaria: Body weakness Symptom of malaria: Body weakness No 1 Yes Symptom of malaria: Refusing to eat or drink Symptom of malaria: Refusing to eat or drink Symptom of malaria: Refusing to eat or drink Symptom of malaria: Refusing to eat or drink Symptom of malaria: Refusing to eat or drink No 1 Yes Symptom of malaria: Other Symptom of malaria: Other Symptom of malaria: Other Symptom of malaria: Other Symptom of malaria: Other No 1 Yes Malaria is caused by: Mosquito bites Malaria is caused by: Mosquito bites Malaria is caused by: Mosquito bites Malaria is caused by: Mosquito bites Malaria is caused by: Mosquito bites No 1 Yes Malaria is caused by: Eating immature sugar cane Malaria is caused by: Eating immature sugar cane Malaria is caused by: Eating immature sugar cane Malaria is caused by: Eating immature sugar cane Malaria is caused by: Eating immature sugar cane No 1 Yes Malaria is caused by: Eating dirty food Malaria is caused by: Eating dirty food Malaria is caused by: Eating dirty food Malaria is caused by: Eating dirty food Malaria is caused by: Eating dirty food No 1 Yes Malaria is caused by: Drinking dirty water Malaria is caused by: Drinking dirty water Malaria is caused by: Drinking dirty water Malaria is caused by: Drinking dirty water Malaria is caused by: Drinking dirty water No 1 Yes Malaria is caused by: Getting soaked with rain Malaria is caused by: Getting soaked with rain Malaria is caused by: Getting soaked with rain Malaria is caused by: Getting soaked with rain Malaria is caused by: Getting soaked with rain No 1 Yes Malaria is caused by: Cold or changing weather Malaria is caused by: Cold or changing weather Malaria is caused by: Cold or changing weather Malaria is caused by: Cold or changing weather Malaria is caused by: Cold or changing weather No 1 Yes Malaria is caused by: Witchcraft Malaria is caused by: Witchcraft Malaria is caused by: Witchcraft Malaria is caused by: Witchcraft Malaria is caused by: Witchcraft No 1 Yes Malaria is caused by: Leaving in house surrounded by bushes Malaria is caused by: Leaving in house surrounded by bushes Malaria is caused by: Leaving in house surrounded by bushes Malaria is caused by: Leaving in house surrounded by bushes Malaria is caused by: Leaving in house surrounded by bushes No 1 Yes Malaria is caused by: Other Malaria is caused by: Other Malaria is caused by: Other Malaria is caused by: Other Malaria is caused by: Other No 1 Yes Malaria is caused by: Don't know Malaria is caused by: Don't know Malaria is caused by: Don't know Malaria is caused by: Don't know Malaria is caused by: Don't know No 1 Yes - Don't know Protect against malaria by: Sleep under a mosquito net Protect against malaria by: Sleep under a mosquito net Protect against malaria by: Sleep under a mosquito net Protect against malaria by: Sleep under a mosquito net Protect against malaria by: Sleep under a mosquito net No 1 Yes Protect against malaria by: Sleep under an ITN Protect against malaria by: Sleep under an ITN Protect against malaria by: Sleep under an ITN Protect against malaria by: Sleep under an ITN Protect against malaria by: Sleep under an ITN No 1 Yes Protect against malaria by: Using mosquito repellant Protect against malaria by: Using mosquito repellant Protect against malaria by: Using mosquito repellant Protect against malaria by: Using mosquito repellant Protect against malaria by: Using mosquito repellant No 1 Yes Protect against malaria by: Avoid mosquito bites Protect against malaria by: Avoid mosquito bites Protect against malaria by: Avoid mosquito bites Protect against malaria by: Avoid mosquito bites Protect against malaria by: Avoid mosquito bites No 1 Yes Protect against malaria by: Take preventive medication Protect against malaria by: Take preventive medication Protect against malaria by: Take preventive medication Protect against malaria by: Take preventive medication Protect against malaria by: Take preventive medication No 1 Yes Protect against malaria by: Spray house with insecticide Protect against malaria by: Spray house with insecticide Protect against malaria by: Spray house with insecticide Protect against malaria by: Spray house with insecticide Protect against malaria by: Spray house with insecticide No 1 Yes Protect against malaria by: Use mosquito coils Protect against malaria by: Use mosquito coils Protect against malaria by: Use mosquito coils Protect against malaria by: Use mosquito coils Protect against malaria by: Use mosquito coils No 1 Yes Protect against malaria by: Cut grass around house Protect against malaria by: Cut grass around house Protect against malaria by: Cut grass around house Protect against malaria by: Cut grass around house Protect against malaria by: Cut grass around house No 1 Yes Protect against malaria by: Fill in puddles Protect against malaria by: Fill in puddles Protect against malaria by: Fill in puddles Protect against malaria by: Fill in puddles Protect against malaria by: Fill in puddles No 1 Yes Protect against malaria by: Keep house surroundings clean Protect against malaria by: Keep house surroundings clean Protect against malaria by: Keep house surroundings clean Protect against malaria by: Keep house surroundings clean Protect against malaria by: Keep house surroundings clean No 1 Yes Protect against malaria by: Burn leaves Protect against malaria by: Burn leaves Protect against malaria by: Burn leaves Protect against malaria by: Burn leaves Protect against malaria by: Burn leaves No 1 Yes Protect against malaria by: Don't drink dirty water Protect against malaria by: Don't drink dirty water Protect against malaria by: Don't drink dirty water Protect against malaria by: Don't drink dirty water Protect against malaria by: Don't drink dirty water No 1 Yes Protect against malaria by: Don't eat bad food Protect against malaria by: Don't eat bad food Protect against malaria by: Don't eat bad food Protect against malaria by: Don't eat bad food Protect against malaria by: Don't eat bad food No 1 Yes Protect against malaria by: Put screens on windows Protect against malaria by: Put screens on windows Protect against malaria by: Put screens on windows Protect against malaria by: Put screens on windows Protect against malaria by: Put screens on windows No 1 Yes Protect against malaria by: Don't get soaked with rain Protect against malaria by: Don't get soaked with rain Protect against malaria by: Don't get soaked with rain Protect against malaria by: Don't get soaked with rain Protect against malaria by: Don't get soaked with rain No 1 Yes Protect against malaria by: Close windows / doors in the evening Protect against malaria by: Close windows / doors in the evening Protect against malaria by: Close windows / doors in the evening Protect against malaria by: Close windows / doors in the evening Protect against malaria by: Close windows / doors in the evening No 1 Yes Protect against malaria by: Other Protect against malaria by: Other Protect against malaria by: Other Protect against malaria by: Other Protect against malaria by: Other No 1 Yes Protect against malaria by: Don't know Protect against malaria by: Don't know Protect against malaria by: Don't know Protect against malaria by: Don't know Protect against malaria by: Don't know No 1 Yes - Don't know Malaria treatment at: Ref hospital Malaria treatment at: Ref hospital Malaria treatment at: Ref hospital Malaria treatment at: Ref hospital Malaria treatment at: Ref hospital No 1 Yes Malaria treatment at: District hospital Malaria treatment at: District hospital Malaria treatment at: District hospital Malaria treatment at: District hospital Malaria treatment at: District hospital No 1 Yes Malaria treatment at: Health center Malaria treatment at: Health center Malaria treatment at: Health center Malaria treatment at: Health center Malaria treatment at: Health center No 1 Yes Malaria treatment at: Health post Malaria treatment at: Health post Malaria treatment at: Health post Malaria treatment at: Health post Malaria treatment at: Health post No 1 Yes Malaria treatment at: Outreach Malaria treatment at: Outreach Malaria treatment at: Outreach Malaria treatment at: Outreach Malaria treatment at: Outreach No 1 Yes Malaria treatment at: CWH Malaria treatment at: CWH Malaria treatment at: CWH Malaria treatment at: CWH Malaria treatment at: CWH No 1 Yes Malaria treatment at: Other public facility Malaria treatment at: Other public facility Malaria treatment at: Other public facility Malaria treatment at: Other public facility Malaria treatment at: Other public facility No 1 Yes Malaria treatment at: Polyclinic Malaria treatment at: Polyclinic Malaria treatment at: Polyclinic Malaria treatment at: Polyclinic Malaria treatment at: Polyclinic No 1 Yes Malaria treatment at: Clinic Malaria treatment at: Clinic Malaria treatment at: Clinic Malaria treatment at: Clinic Malaria treatment at: Clinic No 1 Yes Malaria treatment at: Dispensary Malaria treatment at: Dispensary Malaria treatment at: Dispensary Malaria treatment at: Dispensary Malaria treatment at: Dispensary No 1 Yes Malaria treatment at: Pharmacy Malaria treatment at: Pharmacy Malaria treatment at: Pharmacy Malaria treatment at: Pharmacy Malaria treatment at: Pharmacy No 1 Yes Malaria treatment at: Other private medical Malaria treatment at: Other private medical Malaria treatment at: Other private medical Malaria treatment at: Other private medical Malaria treatment at: Other private medical No 1 Yes Malaria treatment at: Kiosk Malaria treatment at: Kiosk Malaria treatment at: Kiosk Malaria treatment at: Kiosk Malaria treatment at: Kiosk No 1 Yes Malaria treatment at: Traditional practitioner Malaria treatment at: Traditional practitioner Malaria treatment at: Traditional practitioner Malaria treatment at: Traditional practitioner Malaria treatment at: Traditional practitioner No 1 Yes Malaria treatment at: Church Malaria treatment at: Church Malaria treatment at: Church Malaria treatment at: Church Malaria treatment at: Church No 1 Yes Malaria treatment at: Friend / relative Malaria treatment at: Friend / relative Malaria treatment at: Friend / relative Malaria treatment at: Friend / relative Malaria treatment at: Friend / relative No 1 Yes Malaria treatment at: Other Malaria treatment at: Other Malaria treatment at: Other Malaria treatment at: Other Malaria treatment at: Other No 1 Yes Malaria treatment at: Don't know Malaria treatment at: Don't know Malaria treatment at: Don't know Malaria treatment at: Don't know Malaria treatment at: Don't know No 1 Yes - Don't know Seen or heard any messages about malaria Seen or heard any messages about malaria Seen or heard any messages about malaria Seen or heard any messages about malaria Seen or heard any messages about malaria No 1 Yes Messages seen or heard on the radio Messages seen or heard on the radio Messages seen or heard on the radio Messages seen or heard on the radio Messages seen or heard on the radio No 1 Yes Messages seen or heard on the television Messages seen or heard on the television Messages seen or heard on the television Messages seen or heard on the television Messages seen or heard on the television No 1 Yes Messages seen or heard on a poster or billboard Messages seen or heard on a poster or billboard Messages seen or heard on a poster or billboard Messages seen or heard on a poster or billboard Messages seen or heard on a poster or billboard No 1 Yes Messages seen or heard from a community health worker Messages seen or heard from a community health worker Messages seen or heard from a community health worker Messages seen or heard from a community health worker Messages seen or heard from a community health worker No 1 Yes Messages seen or heard at a community event Messages seen or heard at a community event Messages seen or heard at a community event Messages seen or heard at a community event Messages seen or heard at a community event No 1 Yes Messages seen or heard anywhere else Messages seen or heard anywhere else Messages seen or heard anywhere else Messages seen or heard anywhere else Messages seen or heard anywhere else 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 region of residence Fieldworker region of residence Fieldworker region of residence Fieldworker region of residence Fieldworker region of residence 1 Kigali 2 South 3 West 4 North 5 East 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 Secondary 3 Higher 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 1 Catholic 2 Protestant 3 Adventist 4 Muslim 5 Traditional 6 Other 7 No religion Fieldworker ethnicity Fieldworker ethnicity Fieldworker ethnicity Fieldworker ethnicity Fieldworker ethnicity 1 African 2 Indian Languages spoken by fieldworker Languages spoken by fieldworker Languages spoken by fieldworker Languages spoken by fieldworker Languages spoken by fieldworker Kinyarwanda Kinyarwanda Kinyarwanda Kinyarwanda Kinyarwanda French French French French French English English English English English Kicongo Kicongo Kicongo Kicongo Kicongo Kiswahili Kiswahili Kiswahili Kiswahili Kiswahili Language F Language F Language F Language F Language F Language G Language G Language G Language G Language G Language H Language H Language H Language H Language H Language I Language I Language I Language I Language I 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 1 Kinyarwanda 2 French 3 English 4 Kicongo 5 Kiswahili 96 Other Has fieldworker ever worked on a DHS Has fieldworker ever worked on a DHS Has fieldworker ever worked on a DHS Has fieldworker ever worked on a DHS Has fieldworker ever worked on a DHS 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 MOH/RBC/MOPDD or NISR at the time employed for DHS Was fieldworker working for MOH/RBC/MOPDD or NISR at the time employed for DHS Was fieldworker working for MOH/RBC/MOPDD or NISR at the time employed for DHS Was fieldworker working for MOH/RBC/MOPDD or NISR at the time employed for DHS Was fieldworker working for MOH/RBC/MOPDD or NISR at the time employed for DHS 1 Yes, MOH/RBC/MOPDD 2 Yes, NISR 3 No 4 Yes, both Is fieldworker a permanent or temporary employee of MOH/RBC/MOPDD or NISR Is fieldworker a permanent or temporary employee of MOH/RBC/MOPDD or NISR Is fieldworker a permanent or temporary employee of MOH/RBC/MOPDD or NISR Is fieldworker a permanent or temporary employee of MOH/RBC/MOPDD or NISR Is fieldworker a permanent or temporary employee of MOH/RBC/MOPDD or NISR 1 Permanent 2 Temporary