UGA_2014_MIS_v01_M DDI_UGA_2014_MIS_v01_M_WB Development Data Group 2015-11-06 Nesstar Publisher Version 01 (November 2015). Metadata is excerpted from "Uganda Malaria Indicator Survey 2014-2015" Report. Malaria Indicator Survey 2014-2015 MIS 2014-15 / UMIS 2014-15 UGA_2014_MIS_v01_M Uganda Bureau of Statistics (UBOS) National Malaria Control Programme (NMCP) ICF International Nesstar Publisher Governemt of Uganda United States Agency for International Development United Kingdom Department for International Development General Inquiries Information about The DHS Program Data and Data Related Resources Demographic and Health Survey, Special [hh/dhs-sp] The 2014-15 Uganda Malaria Indicator Survey (2014-15 UMIS) is the second survey of its kind in Uganda, following the one implemented in 2009. The survey has a nationally representative sample of 5,880 households from 210 sample clusters. It is designed to provide information on key malaria control indicators, such as the proportion of households having at least one bed net and at least one long-lasting insecticidal net (LLIN); the proportion of children under 5 who slept under a net and under an LLIN the previous night; the proportion of pregnant women who slept under a net and under an LLIN the previous night; the proportion of pregnant women who received intermittent preventive treatment (IPT) for malaria during their last pregnancy; and the prevalence of anaemia and malaria parasitemia among children under 5. Uganda National Sample survey data [ssd] Uganda Bureau of Statistics Face-to-face [f2f] All questionnaires for the 2014-15 UMIS were returned to the data processing centre at the UBOS headquarters in Kampala. Activities performed included office editing, data entry, and editing of computeridentified inconsistencies. The data were processed by a team consisting of one data entry supervisor, one assistant supervisor, 24 data entry operators, and 7 staff who performed tasks related to questionnaire administration, office editing, and secondary editing. Data entry and editing were accomplished using CSPro software. The process of office editing and data processing was initiated in January 2015 and completed in mid- February 2015. The DHS Program The DHS Program 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.NSDstat 5802 38 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECH1.NSDstat 27539 31 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECH2.NSDstat 5345 92 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECH3.NSDstat 5802 28 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECH6.NSDstat 5195 42 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECH6B.NSDstat 5195 19 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECHMCS.NSDstat 14136 18 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECHMH.NSDstat 27539 25 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECHML.NSDstat 14136 17 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC01.NSDstat 5494 40 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC11.NSDstat 5322 56 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC21.NSDstat 6021 20 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC22.NSDstat 5322 44 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC41.NSDstat 3025 147 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC42.NSDstat 5322 171 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC43.NSDstat 4728 169 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC44.NSDstat 4728 32 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC81.NSDstat 5322 15 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC91.NSDstat 5494 72 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC94.NSDstat 3025 6 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC95.NSDstat 4728 12 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECML.NSDstat 4728 65 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. Case Identification Country code and phase Cluster number Household number Respondent's line number (answering Household questionnaire) 0 Incomplete household Ultimate area unit Household sample weight (6 decimals) Month of interview Year of interview Date of interview (CMC) Number of household members Number of eligible women in household NA - Number of eligible men in household Number of de jure members Number of de facto members Number of children 5 and under (de jure) 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 Number of visits Interviewer identification Keyer identification Ever-married sample 0 All woman sample 1 Ever married sample Primary sampling unit Sample strata for sampling errors Stratification used in sample design 0 National Region 1 Central 1 2 Central 2 3 East Central 4 Kampala 5 Mid North 6 Mid Western 7 Mid Eastern 8 North East 9 South Western 10 West Nile Type of place of residence 1 Urban 2 Rural NA - Place of residence 0 Capital, large city 1 Small city 2 Town 3 Countryside Household selected for male interview 0 Not selected 1 Men's survey 2 Husband's survey Household weight for male subsample (6 decimals) Field supervisor NA - Field editor Office editor Number of eligible children for height and weight Cluster altitude in meters NA - Total adults measured Household selected for hemoglobin 0 Not selected 1 Selected NA - Household selected for Domestic Violence module 0 Household not selected 1 Household selected Case Identification Line number 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 0 No 1 Yes Slept last night 0 No 1 Yes Sex of household member 1 Male 2 Female Age of household members 95 95+ 98 Don't know NA - Highest educational level attained 0 No education, preschool 1 Primary 2 Secondary 3 Higher 8 Don't know NA - Highest year of education completed 98 Don't know NA - Education completed in single years 97 Inconsistent 98 Don't know NA - Educational attainment 0 No education 1 Incomplete primary 2 Complete primary 3 Incomplete secondary 4 Complete secondary 5 Higher 8 Don't know NA - Member still in school 0 No 1 Yes NA - Mother alive 0 No 1 Yes 8 Don't know NA - Mother's line number 0 Mother not in household NA - Father alive 0 No 1 Yes 8 Don't know NA - Father's line number 0 Father not in household NA - Current marital status 0 Never married 1 Married 2 Living together 3 Widowed 4 Divorced 5 Not living together NA - Currently, formerly, never married 0 Never married 1 Currently married 2 Formerly/ever married Eligibility for female interview 0 Not eligible 1 Eligible NA - Eligibility for male interview 0 Not eligible 1 Eligible Children eligibility for height/weight and hemoglobin 0 Not eligible 1 Eligible NA - Member attended school during current school year 0 No 1 Currently attending 2 Attended at some time NA - Educational level during current school year 0 No education, preschool 1 Primary 2 Secondary 3 Higher 8 Don't know NA - Grade of education during current school year 98 Don't know NA - Education in single years - current school year 97 Inconsistent 98 Don't know NA - Member attended school during previous school year 0 No 1 Yes NA - Educational level during previous school year 0 No education, preschool 1 Primary 2 Secondary 3 Higher 8 Don't know NA - Grade of education during previous school year 98 Don't know NA - Education in single years - previous school year 97 Inconsistent 98 Don't know NA - School attendance status 0 Never attended 1 Entered school 2 Advanced 3 Repeating 4 Dropout 5 Left school 2+ years ago 8 Don't know NA - Member has a birth certificate 0 Neither certificate or registered 1 Has certificate 2 Registered 8 Don't know Case Identification Source of drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 Public tap/standpipe 20 TUBE WELL WATER 21 Borehole in yard/plot 22 Public borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE WATER 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irrigation channel 44 Gravity flow scheme 51 Rainwater 61 Tanker truck 62 Vendor 63 Cart with small tank 71 Bottled water 96 Other NA - Source of non-drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 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 WATER 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 Time to get to water source (minutes) 996 On premises 998 Don't know 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 Covered pit latrine - with slab 23 Covered pit latrine - without slab / open pit 24 Uncovered pit latrine - with slab 25 Uncovered pit latrine - without slab 30 NO FACILITY 31 No facility/bush/field 41 Composting toilet 42 Bucket toilet 43 Hanging toilet/latrine 96 Other Has electricity 0 No 1 Yes Has radio 0 No 1 Yes Has television 0 No 1 Yes Has refrigerator 0 No 1 Yes Has bicycle 0 No 1 Yes Has motorcycle/scooter 0 No 1 Yes Has car/truck 0 No 1 Yes Main floor material 10 NATURAL 11 Earth/sand 12 Sand and dung 20 RUDIMENTARY 21 Wood planks 22 Palm/bamboo 30 FINISHED 31 Parquet/polished wood 32 Mosaic or tile 33 Cement 34 Stones 35 Bricks 96 Other Main wall material 10 NATURAL 11 No walls 12 Thatched/straw 13 Dirt 20 RUDIMENTARY 21 Mud and poles 22 Stone with mud 23 Reused wood 24 Unburnt bricks 25 Unburnt bricks with plaster 26 Unburnt bricks with mud 30 FINISHED 31 Cement 32 Stone with lime/cement 33 Burnt bricks with cement 34 Cement blocks 35 Wood planks/shingles 96 Other Main roof material 10 NATURAL 11 No roof 12 Thatched 13 Mud 20 RUDIMENTARY 21 Tin 22 Palm 23 Wood planks 30 FINISHED 31 Iron sheets 32 Wood 33 Cement fiber 34 Tiles 35 Cement 36 Roofing shingles 37 Asbestos 96 Other Number of rooms used for sleeping Relationship structure 0 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 Sex of head of household 1 Male 2 Female Age of head of household 97 97+ 98 Don't know Has telephone (land-line) 0 No 1 Yes Share toilet with other households 0 No 1 Yes 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 0 No 1 Yes Children under 5 slept under mosquito bed net last night 0 No 1 All children 2 Some children 3 No net in household NA - Place where household members wash their hands 1 Observed 2 Not observed: not in dwelling 3 Not observed: no permission to see 4 Not observed: other reason NA - Presence of water at hand washing place 0 Water not available 1 Water is available NA - Items present: Soap or detergent 0 No 1 Yes NA - Items present: Ash, mud, sand 0 No 1 Yes NA - Items present: CS 0 No 1 Yes NA - Items present: CS 0 No 1 Yes NA - Items present: CS 0 No 1 Yes NA - Items present: None 0 No 1 Yes: no cleansing agent observed NA - Result of salt test for iodine (PPM) 0 0 PPM (no iodine) 7 Below 15 PPM 15 15 PPM and above 30 30 PPM 994 Salt not tested 995 No salt in household NA - Result of salt test for iodine 0 No iodine 1 Iodine present 3 No salt in household 6 Salt not tested Location of source for water 1 In own dwelling 2 In own yard/plot 3 Elsewhere NA - Person fetching water 1 Adult woman 2 Adult man 3 Female child under 15 years old 4 Male child under 15 years old 6 Other NA - Anything done to water to make safe to drink 0 No 1 Yes 8 Don't know NA - Water usually treated by: boil 0 No 1 Yes 8 Don't know NA - Water usually treated by: add bleach/chlorine 0 No 1 Yes 8 Don't know NA - Water usually treated by: strain through a cloth 0 No 1 Yes 8 Don't know NA - Water usually treated by: use water filter 0 No 1 Yes 8 Don't know NA - Water usually treated by: solar disinfection 0 No 1 Yes 8 Don't know NA - Water usually treated by: let it stand and settle 0 No 1 Yes 8 Don't know NA - Water usually treated by: CS 0 No 1 Yes 8 Don't know NA - Water usually treated by: CS 0 No 1 Yes 8 Don't know NA - Water usually treated by: CS 0 No 1 Yes 8 Don't know NA - Water usually treated by: CS 0 No 1 Yes 8 Don't know NA - Water usually treated by: CS 0 No 1 Yes 8 Don't know NA - Water usually treated by: other 0 No 1 Yes 8 Don't know NA - Water usually treated by: don't know 0 No 1 Yes: don't know what is done to water 8 Don't know Number of households sharing toilet 95 10 or more households 98 Don't know NA - Food cooked on stove or open fire 1 Open fire 2 Open stove 3 Closed stove with chimney 6 Other NA - Household has a chimney, hood or neither 0 Neither chimney or hood 1 Chimney 2 Hood NA - Food cooked in the house/ separate building/ outdoors 1 In the house 2 In a separate building 3 Outdoors 6 Other NA - Household has separate room used as kitchen 0 No 1 Yes Has mobile telephone 0 No 1 Yes Has watch 0 No 1 Yes Has animal-drawn cart 0 No 1 Yes Has boat with a motor 0 No 1 Yes Owns land usable for agriculture 0 No 1 Yes Hectares of agricultural land (1 decimal) 950 38.4 or more 998 Unknown Owns livestock, herds or farm animals 0 No 1 Yes Owns cattle 0 None 95 95 or more 98 Unknown Owns cows/ bulls 0 None 95 95 or more 98 Unknown Owns horses/ donkeys/ mules 0 None 95 95 or more 98 Unknown Owns goats 0 None 95 95 or more 98 Unknown Owns sheep 0 None 95 95 or more 98 Unknown Owns chickens 0 None 95 95 or more 98 Unknown Owns pigs 0 None 95 95 or more 98 Unknown NA - Owns CS 0 None 95 95 or more 98 Unknown NA - Owns CS 0 None 95 95 or more 98 Unknown NA - Owns CS 0 None 95 95 or more 98 Unknown NA - Owns CS 0 None 95 95 or more 98 Unknown Has bank account 0 No 1 Yes NA - Frequency household members smoke inside the house 0 Never 1 Daily 2 Weekly 3 Monthly 4 Less than monthly Has dwelling been sprayed against mosquitoes in last 6 months*** 0 No 1 Yes 8 Don't know Dwelling sprayed by: government worker/program 0 No 1 Yes 8 Don't know Dwelling sprayed by: private company 0 No 1 Yes 8 Don't know Dwelling sprayed by: NGO 0 No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS 0 No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS 0 No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS 0 No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS 0 No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS 0 No 1 Yes 8 Don't know Dwelling sprayed by: other 0 No 1 Yes 8 Don't know Dwelling sprayed by: don't know 0 No 1 Yes: don't know who sprayed the dwelling 8 Don't know if it was sprayed Wealth index 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score (5 decimals) Number of mosquito bed nets 98 Don't know Number of mosquito bed nets with specific information Number of children under mosquito bed net previous night Case Identification NA - Number of de-jure children 5-14 for child labor module District of residence 102 Kampala 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 115 Mityana 117 Buikwe 118 Bukomansimbi 120 Buvuma 121 Gomba 122 Kalungu 123 Kyankwanzi 124 Lwengo 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 225 Bulambuli 226 Buyende 227 Kibuku 228 Kween 229 Luuka 230 Namayingo 231 Ngora 232 Serere 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Maracha 321 Oyam 322 Agago 323 Alebtong 325 Kole 326 Lamwo 327 Napak 328 Nwoya 329 Otuke 330 Zombo 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura 422 Kyegegwa 423 Mitooma 424 Ntoroko 425 Rubirizi 426 Sheema Household sample number Language of questionnaire 1 Ateso-karamojong 2 Luganda 3 Lugbara 4 Luo 5 Runyankore-rukiga 6 Runyoro-rutoro 7 English 8 Other Language used in interview 1 Ateso-karamojong 2 Luganda 3 Lugbara 4 Luo 5 Runyankore-rukiga 6 Runyoro-rutoro 7 English 8 Other Native language of respondent 1 Ateso-karamojong 2 Luganda 3 Lugbara 4 Luo 5 Runyankore-rukiga 6 Runyoro-rutoro 7 English 8 Other Translator used 1 Not at all 2 Sometimes 3 All the time Time household interview started (hhmm - 24 hour clock) Time household interview ended (hhmm - 24 hour clock) Wealth index - Urban 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score (5 decimals) - Urban Wealth index - Rural 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score (5 decimals) - Rural Has cassette player 0 No 1 Yes Has table 0 No 1 Yes Has chair 0 No 1 Yes Has sofa set 0 No 1 Yes Has bed 0 No 1 Yes Has cupboard 0 No 1 Yes Has clock 0 No 1 Yes Has boat without a motor 0 No 1 Yes Acres of agricultural land (1 decimal) 950 95 or more 998 Unknown Months ago dwelling was last sprayed 0 Less than one month Paid for dwelling to be sprayed 0 No 1 Yes Community worker who distributed medicine in community 0 No 1 Yes 8 Don't know Community health worker currently has malaria medicine available 0 No 1 Yes 8 Don't know Malaria sample weight (6 decimals) Case Identification Index to Household Schedule Child's age in months NA - Child's weight in kilograms (1 decimal) 9994 Not present 9995 Refused 9996 Other NA - Child's height in centimeters (1 decimal) 9994 Not present 9995 Refused 9996 Other NA - Height/Age percentile 9998 Flagged cases NA - Height/Age standard deviation 9998 Flagged cases NA - Height/Age percent of ref. median 99998 Flagged cases NA - Weight/Age percentile 9998 Flagged cases NA - Weight/Age standard deviation 9998 Flagged cases NA - Weight/Age percent of ref. median 99998 Flagged cases NA - Weight/Height percentile 9998 Flagged cases NA - Weight/Height standard deviation 9998 Flagged cases NA - Weight/Height percent of ref. median 99998 Flagged cases NA - Result of measurement - height/weight 0 Measured 3 Not present 4 Refused 6 Other NA - Height: lying or standing 0 Not measured 1 Lying 2 Standing Day of birth 97 Inconsistent 98 Don't know Date measured (day) Date measured (month) Date measured (year) Sex 1 Male 2 Female Month of birth 97 Inconsistent 98 Don't know Year of birth 9997 Inconsistent 9998 Don't know Date of birth (CMC) Completeness of HC32 information 1 Month and year - information complete 2 Month and age - year imputed 3 Year and age - month imputed 6 Age - year/month imputed 7 Month - age/year imputed 8 None - all imputed Line number of parent/caretaker 0 Not in household Read consent statement - hemoglobin 1 Granted 2 Refused 4 Not present 6 Other Hemoglobin level (g/dL - 1 decimal) 994 Not present 995 Refused 996 Other Result of measurement - hemoglobin 0 Measured 3 Not present 4 Refused 6 Other Hemoglobin level adjusted for altitude (g/dL - 1 decimal) 997 Inconsistent Anemia level 1 Severe 2 Moderate 3 Mild 4 Not anemic NA - Agrees to referral - anemia 0 No 1 Yes Mother's line number (woman's questionnaire) 993 Mother not de facto 994 Incomplete woman's interview 995 Not in household Mother's highest educational level 0 No education 1 Primary 2 Secondary 3 Higher 8 Don't know Mother's highest year of education 98 Don't know Preceding birth interval (months) Birth order number Mother's highest educational level (for preliminary and final report) 0 No education 1 Primary 2 'O' level 3 'A' level 4 University/Tertiary 8 Don't know Height/Age standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases Weight/Age standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases Weight/Height standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases BMI standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases Case Identification Index to household schedule Malaria RDT result 0 Measured 3 Not present 4 Refused 6 Other Hemoglobin result 1 Below 8.0 g/dL, severe anemia 2 8.0 g/dL or above 4 Not present 5 Refused 6 Other Child suffers from: extreme weakness 0 No 1 Yes 8 Don't know Child suffers from: heart problems 0 No 1 Yes 8 Don't know Child suffers from: loss of consciousness 0 No 1 Yes 8 Don't know Child suffers from: rapid or difficult breathing 0 No 1 Yes 8 Don't know Child suffers from: seizures 0 No 1 Yes 8 Don't know Child suffers from: abnormal bleeding 0 No 1 Yes 8 Don't know Child suffers from: jaundice or yellow skin 0 No 1 Yes 8 Don't know Child suffers from: dark urine 0 No 1 Yes 8 Don't know Child suffers from: no symptoms 0 No 1 Yes 8 Don't know Child suffers from any symptoms 0 No 1 Yes Hemoglobin result 1 Below 8.0 g/dL, severe anemia 2 8.0 g/dL or above 4 Not present 5 Refused 6 Other Child has taken Coartem/ACT from doctor or health center 0 No 1 Yes Child is 0-3 months 1 0-3 months 2 Older Accepted malaria treatement medicine 1 Accepted medicine 2 Refused 6 Other Result of malaria treatment or referral 1 Medication given 2 Medication refused 3 Sever malaria referral 4 Already taking ACTs 5 Under 4 months referral 6 Other Case Identification Index to net Where net was obtained 10 PUBLIC SECTOR 11 Government hospital 12 Government health center 13 PNFP/NGO hospital 14 PNFP/NGO health center 20 PRIVATE SECTOR 21 Private hospital/clinic 22 Pharmacy 30 OTHER SOURCE 31 Shop 32 Open market 33 Hawker 34 Campaign 35 Church 96 Other 98 Don't know Day of campaign 98 Don't know Month of campaign 98 Don't know Year of campaign 9998 Don't know Reason net was not used: Too hot 0 No 1 Yes 8 Don't know Reason net was not used: don't like smell 0 No 1 Yes 8 Don't know Reason net was not used: no mosquitoes 0 No 1 Yes 8 Don't know Reason net was not used: net too old/too many holes 0 No 1 Yes 8 Don't know Reason net was not used: net not hung 0 No 1 Yes 8 Don't know Reason net was not used: extra net/used for visitors 0 No 1 Yes 8 Don't know Reason net was not used: other reason 0 No 1 Yes 8 Don't know Reason net was not used: don't know 0 No 1 Yes, don't know why net was not used 8 Don't know Line number of person who slept in this net 0 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 Case Identification Index to Household Schedule Type of Mosquito Bed Net(s) person slept under last night 0 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 0 Did not sleep under net Net Designation Number (HMLIDX) for 2nd net person slept under last night NA - Net Designation Number (HMLIDX) for 3rd net person slept under last night Corrected age from Individual file 97 97+ 98 Don't know Age in months (for children) Flag for age from Individual file 0 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 0 Not pregnant, don't know 1 Pregnant Person slept under an ever-treated net 0 No 1 Yes Person slept under an LLIN net 0 No 1 Yes Line number of parent/caretaker (for malaria testing) 0 Not in household Read consent statement for malaria 1 Granted 2 Refused 4 Not present 6 Other Final result of malaria from blood smear test 0 Negative 1 Positive 6 Test undetermined 7 Not enough samples to complete protocol Presence of species: falciparum (Pf) 0 No 1 Yes Presence of species: malariae (Pm) 0 No 1 Yes Presence of species: ovale (Po) 0 No 1 Yes Presence of species: vivax (Pv) 0 No 1 Yes NA - Presence of species: CS 0 No 1 Yes NA - Presence of species: CS 0 No 1 Yes NA - Presence of species: CS 0 No 1 Yes Result of malaria measurement 0 Measured 3 Not present 4 Refused 6 Other Bar code for blood smear sample Result of malaria rapid test 0 Negative 1 Positive 6 Other Case Identification Mosquito Bed Net Designation Number Net observed by interviewer 0 Not seen 1 Yes, seen Months ago net obtained 96 More than 3 years ago 98 Don't know NA - Net treated with insecticide when bought 0 No 1 Yes 8 Don't know Net treatment status 0 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** 10 Long-lasting insectiside treated nets (LLIN) 11 Permanet 12 Duranet 13 Interceptor 14 Netprotect 15 Olyset 16 Dawnet 17 Iconlife 18 Yorkool 19 Royal Sentry 20 Don't know brand - LLIN 21 Other LLIN 96 Other brand 98 Don't know brand Net treated since receiving 0 No 1 Yes 2 Permanent net 8 Not sure Time since last re-treatment (months) 95 25+ months ago 96 More than 3 years ago 98 Don't know Insecticide-Treated Net (ITN) 0 No, don't know 1 Yes Number of persons who slept under this net 5 5+ Someone slept under this net last night 0 No 1 Yes 8 Don't know Line number of person who slept in this net 0 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 NA - Line number of person who slept in this net Case Identification Case Identification Country code and phase Cluster number Household number Respondent's line number Ultimate area unit Women's individual sample weight (6 decimals) Month of interview Year of interview Date of interview (CMC) Respondent's month of birth Respondent's year of birth Date of birth (CMC) Respondent's current age 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 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 1 Completed 2 Not at home 3 Postponed 4 Refused 5 Partially completed 6 Respondent incapacitated 7 Other Day of interview NA - CMC start of calendar NA - Row of month of interview 0 No calendar NA - Length of calendar 0 No calendar NA - Number of calendar columns 0 No calendar Ever-married sample 0 All woman sample 1 Ever married sample Primary sampling unit Sample strata for sampling errors Stratification used in sample design 0 National Region 1 Central 1 2 Central 2 3 East Central 4 Kampala 5 Mid North 6 Mid Western 7 Mid Eastern 8 North East 9 South Western 10 West Nile Type of place of residence 1 Urban 2 Rural NA - De facto place of residence 0 Capital, large city 1 Small city 2 Town 3 Countryside Number of visits Interviewer identification Keyer identification Field supervisor NA - Field editor Office editor NA - Line number of husband 0 Husband not in household Cluster altitude in meters Household selected for hemoglobin 0 Not selected 1 Selected NA - Selected for Domestic Violence module 0 Woman not selected 1 Woman selected and interviewed 2 Woman selected, but privacy not possible 3 Woman selected, but not interviewed Case Identification Case Identification Region 1 Central 1 2 Central 2 3 East Central 4 Kampala 5 Mid North 6 Mid Western 7 Mid Eastern 8 North East 9 South Western 10 West Nile Type of place of residence 1 Urban 2 Rural NA - Childhood place of residence 0 Capital, large city 1 City 2 Town 3 Countryside 4 Abroad NA - Years lived in place of residence 95 Always 96 Visitor 97 Inconsistent 98 Don't know NA - Type of place of previous residence 0 Capital, large city 1 City 2 Town 3 Countryside 4 Abroad Highest educational level 0 No education 1 Primary 2 Secondary 3 Higher Highest year of education 0 No years completed at level V106 Source of drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 Public tap/standpipe 20 TUBE WELL WATER 21 Borehole in yard/plot 22 Public borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE WATER 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irrigation channel 44 Gravity flow scheme 51 Rainwater 61 Tanker truck 62 Vendor 63 Cart with small tank 71 Bottled water 96 Other 97 Not a de jure resident Time to get to water source 996 On premises 997 Not a de jure resident 998 Don't know 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 Covered pit latrine - with slab 23 Covered pit latrine - without slab / open pit 24 Uncovered pit latrine - with slab 25 Uncovered pit latrine - without slab 30 NO FACILITY 31 No facility/bush/field 41 Composting toilet 42 Bucket toilet 43 Hanging toilet/latrine 96 Other 97 Not a de jure resident Household has: electricity 0 No 1 Yes 7 Not a de jure resident Household has: radio 0 No 1 Yes 7 Not a de jure resident Household has: television 0 No 1 Yes 7 Not a de jure resident Household has: refrigerator 0 No 1 Yes 7 Not a de jure resident Household has: bicycle 0 No 1 Yes 7 Not a de jure resident Household has: motorcycle/scooter 0 No 1 Yes 7 Not a de jure resident Household has: car/truck 0 No 1 Yes 7 Not a de jure resident Main floor material 10 NATURAL 11 Earth/sand 12 Sand and dung 20 RUDIMENTARY 21 Wood planks 22 Palm/bamboo 30 FINISHED 31 Parquet/polished wood 32 Mosaic or tile 33 Cement 34 Stones 35 Bricks 96 Other 97 Not a de jure resident Main wall material 10 NATURAL 11 No walls 12 Thatched/straw 13 Dirt 20 RUDIMENTARY 21 Mud and poles 22 Stone with mud 23 Reused wood 24 Unburnt bricks 25 Unburnt bricks with plaster 26 Unburnt bricks with mud 30 FINISHED 31 Cement 32 Stone with lime/cement 33 Burnt bricks with cement 34 Cement blocks 35 Wood planks/shingles 96 Other 97 Not a de jure resident Main roof material 10 NATURAL 11 No roof 12 Thatched 13 Mud 20 RUDIMENTARY 21 Tin 22 Palm 23 Wood planks 30 FINISHED 31 Iron sheets 32 Wood 33 Cement fiber 34 Tiles 35 Cement 36 Roofing shingles 37 Asbestos 96 Other 97 Not a de jure resident Religion 1 Catholic 2 Anglican/Protestant 3 SDA 4 Orthodox 5 Pentecostal 6 Other Christian 7 Moslem 8 Bahai 9 Traditional 10 Hindu 11 None 96 Other Ethnicity 1 Baganda 2 Banyankore 3 Iteso 4 Lugbara/Madi 5 Basoga 6 Langi 7 Bakiga 8 Karimojong 9 Acholi 10 Bagisu/Sabiny 11 Alur/Jopadhola 12 Banyoro 13 Batoro 14 Bafumbira 15 Bagwere 16 Bakonzo 17 Banyarwanda 18 Kumam 996 Other Education in single years 97 Inconsistent NA - De facto place of residence 0 Capital, large city 1 Small city 2 Town 3 Countryside Usual resident or visitor 1 Usual resident 2 Visitor Number of household members (listed) Number of children 5 and under in household (de jure) Number of eligible women in household (de facto) De jure region of residence 0 Abroad 1 Central 1 2 Central 2 3 East Central 4 Kampala 5 Mid North 6 Mid Western 7 Mid Eastern 8 North East 9 South Western 10 West Nile 97 Not de jure resident De jure type of place of residence 0 Abroad 1 Urban 2 Rural 7 Not a de jure resident NA - De jure place of residence 0 Capital, large city 1 City 2 Town 3 Countryside 4 Abroad 7 Not a de jure resident Educational attainment 0 No education 1 Incomplete primary 2 Complete primary 3 Incomplete secondary 4 Complete secondary 5 Higher 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 1 Male 2 Female Age of household head 97 97+ 98 Don't know Household has: telephone (land-line) 0 No 1 Yes 7 Not a de jure resident All woman factor - total 100 All woman sample All woman factor - urban/rural 100 All woman sample All woman factor - regional 100 All woman sample All woman factor - educational 100 All woman sample All woman factor - wealth index 100 All woman sample Literacy 0 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 NA - Ever participated in a literacy program outside of primary 0 No 1 Yes NA - Frequency of reading newspaper or magazine 0 Not at all 1 Less than once a week 2 At least once a week 3 Almost every day NA - Frequency of listening to radio 0 Not at all 1 Less than once a week 2 At least once a week 3 Almost every day NA - Frequency of watching television 0 Not at all 1 Less than once a week 2 At least once a week 3 Almost every day Toilet facilities shared with other households 0 No 1 Yes 7 Not a de jure resident 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 97 Not a de jure resident NA - Result of salt test for iodine 0 0 ppm (no iodine) 7 7 ppm 15 15 ppm 30 30 ppm 994 Salt not tested 995 No salt 997 Not a de jure resident NA - Number of trips in last 12 months 0 None 90 90+ NA - Away for more than one month in last 12 months 0 No 1 Yes Wealth index 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score (5 decimals) Type of mosquito bed net(s) slept under last night 0 No net 1 Only treated nets 2 Both treated and untreated nets 3 Only untreated nets Case Identification Case Identification Birth column number Birth order number Child is twin 0 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 Year of birth Date of birth (CMC) Sex of child 1 Male 2 Female Child is alive 0 No 1 Yes 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) Current age of child Child lives with whom 0 Respondent 1 Father 2 Other relative 3 Someone else 4 Lives elsewhere Completeness of 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 Preceding birth interval (months) Succeeding birth interval (months) NA - Flag for age at death 0 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 0 No 1 Yes Child's line number in household 0 Not listed in household Case Identification Case Identification Total children ever born Sons at home Daughters at home Sons elsewhere Daughters elsewhere Sons who have died Daughters who have died Births in last five years 0 No births Births in past year 0 No births Births in month of interview NA - Date of first birth (CMC) NA - Age of respondent at 1st birth Currently pregnant 0 No or unsure 1 Yes Duration of current pregnancy NA - Time since last menstrual period 100 Day of interview 101 Days: 1 199 Days: number missing 201 Weeks: 1 299 Weeks: number missing 301 Months: 1 399 Months: number missing 401 Years: 1 499 Years: number missing 994 In menopause/had hysterectomy 995 Before last birth 996 Never menstruated 997 Inconsistent 998 Don't know NA - Menstruated in last six weeks 0 No 1 Yes NA - Knowledge of ovulatory cycle 1 During her period 2 After period ended 3 Middle of the cycle 4 Before period begins 5 At any time 6 Other 8 Don't know Number of living children Living children + current pregnancy Living children + current pregnancy (grouped) 6 6+ NA - Marriage to first birth interval (months) 996 Negative interval Last birth to interview (months) Completeness of current pregnancy information 7 Month - exact date 8 None - date placed Entries in birth history NA - Current pregnancy wanted 1 Then 2 Later 3 Not at all NA - Time since last period (comp) (months) 994 In menopause 995 Before last birth 996 Never menstruated 997 Inconsistent 998 Don't know NA - Flag for last period 0 No flag 1 N > interval since birth 2 N + amen. > interval 3 N, but period not returned 4 95, but no birth 5 95, but period returned 6 96, but period returned 7 N, last period during pregnancy 8 96, had children 9 N, period before last birth NA - Ever had a terminated pregnancy 0 No 1 Yes NA - Month pregnancy ended 97 Inconsistent 98 Don't know NA - Year pregnancy ended 9997 Inconsistent 9998 Don't know NA - CMC pregnancy ended 9997 Inconsistent 9998 Don't know NA - Completeness of last termination information 1 Month and year 2 From calendar 5 Year 7 Month 8 None NA - Months when pregnancy ended 97 Inconsistent 98 Don't know NA - Other such pregnancies 0 No 1 Yes NA - Index last child prior to maternity-health (calendar) 0 No prior child Birth between last and interview 0 No 1 Yes Births in last three years NA - Pregnancies terminated before calendar beginning 0 No 1 Yes NA - Month of last termination prior to calendar 97 Inconsistent 98 Don't know NA - Year of last termination prior to calendar 9997 Inconsistent 9998 Don't know NA - CMC termination ended prior to calendar 9997 Inconsistent 9998 Don't know NA - Completeness of last termination date prior to calendar 1 Month and year 2 From calendar 5 Year 7 Month 8 None Case Identification Case Identification Index to Birth History NA - Number of tetanus injections before birth 0 Received no injection 7 7+ 8 Don't know NA - Number of tetanus injections before pregnancy 0 Received no injection 7 7+ 8 Don't know NA - Month of last tetanus injection before pregnancy 97 Inconsistent 98 Don't know month NA - Year of last tetanus injection before pregnancy 9997 Inconsistent 9998 Don't know year NA - Years ago received last tetanus injection before pregnancy NA - Last tetanus injection before pregnancy (CMC) 9996 Can't be determined Prenatal: doctor 0 No 1 Yes Prenatal: nurse/midwife 0 No 1 Yes Prenatal: medical assistant/clinical officer 0 No 1 Yes Prenatal: nursing aide 0 No 1 Yes NA - Prenatal: CS health professional 0 No 1 Yes NA - Prenatal: CS health professional 0 No 1 Yes Prenatal: traditional birth attendant 0 No 1 Yes NA - Prenatal: CS other person 0 No 1 Yes NA - Prenatal: CS other person 0 No 1 Yes NA - Prenatal: CS other person 0 No 1 Yes Prenatal: other 0 No 1 Yes NA - Prenatal: CS other 0 No 1 Yes NA - Prenatal: CS other 0 No 1 Yes Prenatal: no one 0 No: some care 1 Yes: no care NA - Assistance: doctor 0 No 1 Yes NA - Assistance: CS health professional 0 No 1 Yes NA - Assistance: CS health professional 0 No 1 Yes NA - Assistance: CS health professional 0 No 1 Yes NA - Assistance: CS health professional 0 No 1 Yes NA - Assistance: CS health professional 0 No 1 Yes NA - Assistance: traditional birth attendant 0 No 1 Yes NA - Assistance: CS other person 0 No 1 Yes NA - Assistance: CS other person 0 No 1 Yes NA - Assistance: CS other person 0 No 1 Yes NA - Assistance: other 0 No 1 Yes NA - Assistance: CS other 0 No 1 Yes NA - Assistance: CS other 0 No 1 Yes NA - Assistance: no one 0 No: some assistance 1 Yes: no assistance NA - Duration of breastfeeding 93 Ever breastfed, not currently breastfeeding 94 Never breastfed 95 Still breastfeeding 96 Breastfed until died 97 Inconsistent 98 Don't know NA - Months of breastfeeding 93 Ever breastfed, not currently breastfeeding 94 Never breastfed 97 Inconsistent 98 Don't know NA - Duration of amenorrhea 96 Period not returned 97 Inconsistent 98 Don't know NA - Months of amenorrhea 97 Inconsistent 98 Don't know NA - Duration of abstinence 96 Still abstaining 97 Inconsistent 98 Don't know NA - Months of abstinence 97 Inconsistent 98 Don't know NA - Wanted pregnancy when became pregnant 1 Then 2 Later 3 No more NA - Desired time would have waited 101 Months: 1 199 Months: number missing 201 Years: 1 299 Years: number missing 998 Don't know NA - Timing of 1st antenatal check (months) 98 Don't know NA - Number of antenatal visits during pregnancy 0 No antenatal visits 98 Don't know NA - Place of delivery 10 HOME 11 Respondent's home 12 Other home 20 PUBLIC SECTOR 21 Government hospital 22 CS Govt health professional 23 CS Govt health professional 26 Other public sector 30 PRIVATE SECTOR 31 Private hospital/clinic 36 Other private sector 96 Other NA - Delivery by caesarean section 0 No 1 Yes NA - Size of child at birth 1 Very large 2 Larger than average 3 Average 4 Smaller than average 5 Very small 8 Don't know NA - Birth weight in kilograms (3 decimals) 9996 Not weighed at birth 9998 Don't know NA - Weight at birth/recall 0 Not weighed 1 From written card 2 From mother's recall 8 Don't know 9 Special answers NA - Flag for breastfeeding 0 No flag 1 > interval 2 > interval by 1 month 3 > age at death 4 During pregnancy in calendar NA - Flag for amenorrhea 0 No flag 1 > interval 2 > interval by 1 month 4 During pregnancy in calendar NA - Flag for abstinence 0 No flag 1 > interval 2 > interval by 1 month 4 During pregnancy in calendar NA - When child put to breast 0 Immediately 100 Within first hour 101 Hours: 1 199 Hours: number missing 201 Days: 1 299 Days: number missing NA - Number of times breastfed during previous night 96 On demand NA - Number of times breastfed during previous day 96 On demand NA - Drank from bottle with nipple yesterday/last night 0 No 1 Yes 8 Don't know NA - Did eat any solid, semi-solid or soft foods yesterday 0 No 1 Yes 8 Don't know NA - Number of times ate solid, semi-solid or soft food yesterday 0 None 7 7+ 8 Don't know NA - During pregnancy: weighed 0 No 1 Yes NA - During pregnancy: height measured 0 No 1 Yes NA - During pregnancy: blood pressure taken 0 No 1 Yes NA - During pregnancy: urine sample taken 0 No 1 Yes NA - During pregnancy: blood sample taken 0 No 1 Yes NA - Told about pregnancy complications 0 No 1 Yes 8 Don't know NA - Told where to go for pregnancy complications 0 No 1 Yes 8 Don't know NA - During pregnancy, given or bought iron tablets/syrup 0 No 1 Yes 8 Don't know NA - Days tablets or syrup taken 0 Were not taken 998 Don't know NA - During pregnancy, had difficulty with daylight vision 0 No 1 Yes 8 Don't know NA - During pregnancy, had difficulty with night blindness 0 No 1 Yes 8 Don't know During pregnancy took: SP/fansidar for malaria 0 No 1 Yes 8 Don't know if any drugs taken During pregnancy took: chloroquine for malaria 0 No 1 Yes 8 Don't know if any drugs taken NA - During pregnancy took: CS drug for malaria 0 No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria 0 No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria 0 No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria 0 No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria 0 No 1 Yes 8 Don't know During pregnancy took: other drug for malaria 0 No 1 Yes 8 Don't know if any drugs taken During pregnancy took: don't know 0 No 1 Yes: don't know which drug taken 8 Don't know if any drugs taken During pregnancy took: no drug for malaria 0 No 1 Yes, took no drug 8 Don't know NA - Respondent's check up after delivery 0 No 1 Yes NA - Respondent's checkup after deliver timing 100 Zero hours 101 1 Hours 199 Hours missing 200 0 Days 201 1 Days 299 Days missing 301 1 Week 399 Weeks missing 998 Don't know NA - Respondent's health professional checked up after delivery 10 HEALTH PROFESSIONAL 11 Doctor 12 Nurse/midwife 13 Auxiliary midwife 20 OTHER PERSON 21 Traditional birth attendant 96 Other NA - Received Vitamin A dose in first 2 months after delivery 0 No 1 Yes 8 Don't know NA - First 3 days, given milk (other than breast milk) 0 No 1 Yes NA - First 3 days, given plain water 0 No 1 Yes NA - First 3 days, given sugar/glucose water 0 No 1 Yes NA - First 3 days, given gripe water 0 No 1 Yes NA - First 3 days, given sugar/salt solution 0 No 1 Yes NA - First 3 days, given fruit juice 0 No 1 Yes NA - First 3 days, given infant formula 0 No 1 Yes NA - First 3 days, given tea/infusions 0 No 1 Yes NA - First 3 days, given honey 0 No 1 Yes NA - First 3 days, given coffee 0 No 1 Yes NA - First 3 days, given country specific 0 No 1 Yes NA - First 3 days, given country specific 0 No 1 Yes NA - First 3 days, given country specific 0 No 1 Yes NA - First 3 days, given country specific 0 No 1 Yes NA - First 3 days, given country specific 0 No 1 Yes NA - First 3 days, given other 0 No 1 Yes NA - First 3 days, given nothing 0 No: given something 1 Yes: given nothing NA - Antenatal care: respondent's home 0 No 1 Yes NA - Antenatal care: other home 0 No 1 Yes NA - Antenatal care: CS home 0 No 1 Yes NA - Antenatal care: CS home 0 No 1 Yes NA - Antenatal care: government hospital 0 No 1 Yes NA - Antenatal care: CS public health 0 No 1 Yes NA - Antenatal care: CS public health 0 No 1 Yes NA - Antenatal care: CS public health 0 No 1 Yes NA - Antenatal care: CS public health 0 No 1 Yes NA - Antenatal care: CS public health 0 No 1 Yes NA - Antenatal care: CS public health 0 No 1 Yes NA - Antenatal care: CS public health 0 No 1 Yes NA - Antenatal care: private hospital/clinic 0 No 1 Yes NA - Antenatal care: CS private medical 0 No 1 Yes NA - Antenatal care: CS private medical 0 No 1 Yes NA - Antenatal care: CS private medical 0 No 1 Yes NA - Antenatal care: CS private medical 0 No 1 Yes NA - Antenatal care: CS private medical 0 No 1 Yes NA - Antenatal care: CS other 0 No 1 Yes NA - Antenatal care: CS other 0 No 1 Yes NA - Antenatal care: CS other 0 No 1 Yes NA - Antenatal care: CS other 0 No 1 Yes NA - Antenatal care: other 0 No 1 Yes NA - Drugs for intestinal parasites during pregnancy 0 No 1 Yes 8 Don't know NA - Time spent at place of delivery 100 Hours: 0 101 Hours: 1 199 Hours: number missing 201 Days: 1 299 Days: number missing 301 Weeks: 1 399 Weeks: number missing 998 Don't know NA - Respondent's health checked before discharge 0 No 1 Yes 8 Don't know NA - Reason didn't deliver at health facility: cost too much 0 No 1 Yes NA - Reason didn't deliver at health facility: facility not open 0 No 1 Yes NA - Reason didn't deliver at health facility: too far/no transport 0 No 1 Yes NA - Reason didn't deliver at health facility: don't trust facility/poor service 0 No 1 Yes NA - Reason didn't deliver at health facility: no female provider 0 No 1 Yes NA - Reason didn't deliver at health facility: husband/family didn't allow 0 No 1 Yes NA - Reason didn't deliver at health facility: not necessary 0 No 1 Yes NA - Reason didn't deliver at health facility: not customary 0 No 1 Yes NA - Reason didn't deliver at health facility: CS 0 No 1 Yes NA - Reason didn't deliver at health facility: CS 0 No 1 Yes NA - Reason didn't deliver at health facility: CS 0 No 1 Yes NA - Reason didn't deliver at health facility: CS 0 No 1 Yes NA - Reason didn't deliver at health facility: other 0 No 1 Yes NA - Respondent's health checked after discharge/delivery at home 0 No 1 Yes 8 Don't know NA - Baby postnatal check within 2 months 0 No 1 Yes 8 Don't know NA - Time after delivery postnatal check took place 100 Immediately/in first hour 101 Hours: 1 199 Hours: number missing 201 Days: 1 299 Days: number missing 301 Weeks: 1 399 Weeks: number missing 998 Don't know NA - Person who performed postnatal checkup 10 MEDICAL PERSONNEL 11 Doctor 12 Nurse, midwife 13 Auxiliary midwife 20 OTHER PERSON 21 Traditional birth attendant 22 Community/village health worker 96 Other NA - Place baby was first checked 10 HOME 11 Respondent's home 12 Other home 20 PUBLIC SECTOR 21 Government hospital 22 Government health center 23 Government health post 26 Other public sector 30 PRIVATE SECTOR 31 Private hospital, clinic 36 Other private sector 96 Other Case Identification Case Identification NA - Last birth a caesarean section 0 No 1 Yes NA - Currently breastfeeding 0 No 1 Yes NA - Currently amenorrheic 0 No 1 Yes NA - Currently abstaining 0 No 1 Yes NA - Number of times breastfed during night 96 On demand NA - Number of times breastfed during day 96 On demand NA - Gave child plain water 0 No 1 Yes 8 Don't know NA - Gave child sugar water 0 No 1 Yes 8 Don't know NA - Gave child juice 0 No 1 Yes 8 Don't know NA - Gave child tea or coffee 0 No 1 Yes 8 Don't know NA - Gave child tinned, powdered or fresh milk 0 No 1 Yes 8 Don't know NA - Gave child baby formula 0 No 1 Yes 8 Don't know NA - Gave child fresh milk 0 No 1 Yes 8 Don't know NA - Gave child fortified baby food (cerelac, etc) 0 No 1 Yes 8 Don't know NA - Gave child other porridge/gruel 0 No 1 Yes 8 Don't know NA - Gave child soup/clear broth 0 No 1 Yes 8 Don't know NA - Gave child other liquid 0 No 1 Yes 8 Don't know NA - Gave child CS liquid 0 No 1 Yes 8 Don't know NA - Gave child CS liquid 0 No 1 Yes 8 Don't know NA - Gave child CS liquid 0 No 1 Yes 8 Don't know NA - Gave child CS liquid 0 No 1 Yes 8 Don't know NA - Gave child CS foods 0 No 1 Yes 8 Don't know NA - Gave child CS foods 0 No 1 Yes 8 Don't know NA - Gave child CS foods 0 No 1 Yes 8 Don't know NA - Gave child CS foods 0 No 1 Yes 8 Don't know NA - Gave child bread, noodles, other made from grains 0 No 1 Yes 8 Don't know NA - Gave child potatoes, cassava, or other tubers 0 No 1 Yes 8 Don't know NA - Gave child eggs 0 No 1 Yes 8 Don't know NA - Gave child meat (beef, pork, lamb, chicken, etc) 0 No 1 Yes 8 Don't know NA - Gave child pumpkin, carrots, squash (yellow or orange inside) 0 No 1 Yes 8 Don't know NA - Gave child any dark green leafy vegetables 0 No 1 Yes 8 Don't know NA - Gave child mangoes, papayas, other vitamin A fruits 0 No 1 Yes 8 Don't know NA - Gave child any other fruits 0 No 1 Yes 8 Don't know NA - Gave child liver, heart, other organs 0 No 1 Yes 8 Don't know NA - Gave child fish or shellfish 0 No 1 Yes 8 Don't know NA - Gave child food made from beans, peas, lentils, nuts 0 No 1 Yes 8 Don't know NA - Gave child cheese, yogurt, other milk products 0 No 1 Yes 8 Don't know NA - Gave child oil, fats, butter, products made of them 0 No 1 Yes 8 Don't know NA - Gave child chocolates, sweets, candies, pastries, etc 0 No 1 Yes 8 Don't know NA - Gave child other solid-semisolid food 0 No 1 Yes 8 Don't know NA - Gave child CS foods 0 No 1 Yes 8 Don't know NA - Gave child CS foods 0 No 1 Yes 8 Don't know NA - Gave child yogurt 0 No 1 Yes 8 Don't know NA - Gave child CS foods 0 No 1 Yes 8 Don't know NA - Drank from bottle with nipple yesterday/last night 0 No 1 Yes 8 Don't know NA - Heard of oral rehydration 0 Never heard of 1 Used ORS 2 Heard of ORS Entries in maternity table Entries in health table Entries in height/weight table NA - Measurer's code NA - Assistant measurer's code NA - When child put to breast 0 Immediately 100 Within first hour 101 Hours: 1 199 Hours: number missing 201 Days: 1 299 Days: number missing NA - Respondent's weight in kilograms (1 decimal) 9994 Not present 9995 Refused 9996 Other NA - Respondent's height in centimeters (1 decimal) 9994 Not present 9995 Refused 9996 Other NA - Height/Age percentile 9998 Flagged cases NA - Height/Age standard deviation 9998 Flagged cases NA - Height/Age percent ref. median 99998 Flagged cases NA - Weight/Height percent ref. median (DHS) 99998 Flagged cases NA - Weight/Height percent ref. median (Fog) 99998 Flagged cases NA - Weight/Height percent ref. median (WHO) 99998 Flagged cases NA - Weight/Height standard deviation (DHS) 9998 Flagged cases NA - Body Mass Index 9998 Flagged cases NA - Rohrer's index 9998 Flagged cases NA - Result of measurement - height/weight 0 Measured 3 Not present 4 Refused 6 Other 7 No measurement found in household NA - Women's age in years (from household questionnaire) NA - Under age 18 (from household questionnaire) 1 Under age 18 2 Age 18 or older NA - Line number of parent/caretaker 0 Not in household NA - Read consent statement - hemoglobin 1 Granted 2 Parent/other refused 3 Respondent refused NA - Hemoglobin level (g/dL - 1 decimal) NA - Currently pregnant (from household questionnaire) 0 No/don't know 1 Yes NA - Result of measurement - hemoglobin 0 Measured 3 Not present 4 Refused 6 Other 7 No measurement found in household NA - Hemoglobin level adjusted for altitude and smoking (g/dL - 1 decimal) NA - Anemia level 1 Severe 2 Moderate 3 Mild 4 Not anemic NA - Agrees to referral - anemia 0 No 1 Yes Have mosquito bed net for sleeping (from household questionnaire) 0 No 1 Yes Children under 5 slept under mosquito bed net last night (household questionnair 0 No 1 All children 2 Some children 3 No net in household Respondent slept under mosquito bed net 0 No 1 Yes NA - Washed hands before preparing last meal 0 No 1 Yes 2 Never prepared meal NA - Smokes cigarettes 0 No 1 Yes NA - Smokes pipe 0 No 1 Yes NA - Uses chewing tobacco 0 No 1 Yes NA - Uses snuff 0 No 1 Yes NA - Smokes cigars 0 No 1 Yes NA - Smokes country specific 0 No 1 Yes NA - Smokes country specific 0 No 1 Yes NA - Smokes other 0 No 1 Yes NA - Does not use tobacco 0 No 1 Yes, smokes nothing NA - Number of cigarettes in last 24 hours 80 80+ 98 Don't know NA - Disposal of youngest child's stools when not using toilet 1 Used toilet/latrine 2 Put/rinsed in toilet/latrine 3 Put/rinsed into drain or ditch 4 Throw into garbage 5 Buried 6 Rinse away 7 Use disposable diapers 8 Use washable diapers 9 Left in the open/not disposed of 96 Other NA - When child is seriously ill, can decide whether medical treatment sought 0 No 1 Yes 2 Depends NA - Getting medical help for self: know where to go 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: getting permission to go 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: getting money needed for treatment 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: distance to health facility 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: having to take transport 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: not wanting to go alone 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: concern no female health provider 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: concern no provider 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: concern no drugs available 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: CS 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: CS 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: CS 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: CS 0 No problem 1 Big problem 2 Not a big problem NA - Record for Last Birth 0 See specific questions 1 Last birth only 2 All births in last 5 years NA - Times gave child powdered/tinned/fresh milk 0 No 7 7+ 8 Don't know NA - Times gave child infant formula 0 No 7 7+ 8 Don't know NA - Times gave child yogurt 0 No 7 7+ 8 Don't know NA - Mother had tinned, powdered or fresh milk 0 No 1 Yes 8 Don't know NA - Mother had tea or coffee 0 No 1 Yes 8 Don't know NA - Mother had any other liquid 0 No 1 Yes 8 Don't know NA - Mother had CS liquid 0 No 1 Yes 8 Don't know NA - Mother had CS liquid 0 No 1 Yes 8 Don't know NA - Mother had CS liquid 0 No 1 Yes 8 Don't know NA - Mother had CS liquid 0 No 1 Yes 8 Don't know NA - Mother had CS foods 0 No 1 Yes 8 Don't know NA - Mother had CS foods 0 No 1 Yes 8 Don't know NA - Mother had CS foods 0 No 1 Yes 8 Don't know NA - Mother had CS foods 0 No 1 Yes 8 Don't know NA - Mother had bread, noodles, other made from grains 0 No 1 Yes 8 Don't know NA - Mother had potatoes, cassava, or other tubers 0 No 1 Yes 8 Don't know NA - Mother had eggs 0 No 1 Yes 8 Don't know NA - Mother had meat (beef, pork, lamb, chicken, etc) 0 No 1 Yes 8 Don't know NA - Mother had pumpkin, carrots, squash (yellow or orange inside) 0 No 1 Yes 8 Don't know NA - Mother had any dark green leafy vegetables 0 No 1 Yes 8 Don't know NA - Mother had mangoes, papayas, other vitamin A fruits 0 No 1 Yes 8 Don't know NA - Mother had any other fruits 0 No 1 Yes 8 Don't know NA - Mother had liver, heart, other organs 0 No 1 Yes 8 Don't know NA - Mother had fish or shellfish 0 No 1 Yes 8 Don't know NA - Mother had food made from beans, peas, lentils, nuts 0 No 1 Yes 8 Don't know NA - Mother had cheese, yogurt, other milk products 0 No 1 Yes 8 Don't know NA - Mother had oil, fats, butter, products made of them 0 No 1 Yes 8 Don't know NA - Mother had chocolates, sweets, candies, pastries, etc 0 No 1 Yes 8 Don't know NA - Mother had other solid-semisolid food 0 No 1 Yes 8 Don't know NA - Mother had CS foods 0 No 1 Yes 8 Don't know NA - Mother had CS foods 0 No 1 Yes 8 Don't know NA - Read consent statement - HIV 1 Granted 2 Parent/other responsible refused 3 Respondent refused 4 Sample not tested/lost/not enough DBS NA - Result of measurement - HIV 1 Blood taken 2 Not present 3 Refused 4 Sample not tested/lost/damaged/insufficient 5 Not enough DBS to complete protocol 6 Other NA - Heard of tuberculosis or TB 0 No 1 Yes NA - Tuberculosis spread by: air when coughing or sneezing 0 No 1 Yes NA - Tuberculosis spread by: sharing utensils 0 No 1 Yes NA - Tuberculosis spread by: touching a person with TB 0 No 1 Yes NA - Tuberculosis spread by: food 0 No 1 Yes NA - Tuberculosis spread by: sexual contact 0 No 1 Yes NA - Tuberculosis spread by: mosquito bites 0 No 1 Yes NA - Tuberculosis spread by: CS 0 No 1 Yes NA - Tuberculosis spread by: CS 0 No 1 Yes NA - Tuberculosis spread by: CS 0 No 1 Yes NA - Tuberculosis spread by: CS 0 No 1 Yes NA - Tuberculosis spread by: other 0 No 1 Yes NA - Tuberculosis spread by: don't know 0 No 1 Yes NA - Tuberculosis can be cured 0 No 1 Yes 8 Don't know NA - Keep secret when family member gets TB 0 No 1 Yes, remain a secret 8 Don't know/not sure/depends NA - Number of injections in last 12 months 0 None 90 90+ 98 Don't know NA - Number of injections administered by a health worker 0 None 90 90+ 98 Don't know NA - Place of injection by health worker 10 PUBLIC SECTOR 11 Government hospital 12 Government health center 16 Other public sector 20 PRIVATE SECTOR 21 Private hospital/clinic/doctor 22 Dental clinic/office 23 Pharmacy 24 Office or home of nurse/health worker 26 Other private sector 30 OTHER NON-MEDICAL 31 Respondent's home 96 Other NA - Syringe and needle from new, unopened package 0 No 1 Yes 8 Don't know NA - Covered by health insurance 0 No 1 Yes NA - Health insurance type: mutual/community organization 0 No 1 Yes NA - Health insurance type: provided by employer 0 No 1 Yes NA - Health insurance type: social security 0 No 1 Yes NA - Health insurance type: private/commercially purchased 0 No 1 Yes NA - Health insurance type: CS 0 No 1 Yes NA - Health insurance type: CS 0 No 1 Yes NA - Health insurance type: CS 0 No 1 Yes NA - Health insurance type: CS 0 No 1 Yes NA - Health insurance type: other 0 No 1 Yes NA - Arrange care of biological children under age 18 0 No 1 Yes 8 Unsure NA - Primary caregiver of children under age 18 0 No 1 Yes NA - Arrange care of non-biological children < 18 0 No 1 Yes 8 Unsure Case Identification Case Identification Index to birth history NA - Has health card 0 No card 1 Yes, seen 2 Yes, not seen 3 No longer has card NA - Received BCG 0 No 1 Vaccination date on card 2 Reported by mother 3 Vaccination marked on card 8 Don't know NA - BCG day 97 Inconsistent 98 Don't know NA - BCG month 97 Inconsistent 98 Don't know NA - BCG year 9997 Inconsistent 9998 Don't know NA - Received DPT 1 0 No 1 Vaccination date on card 2 Reported by mother 3 Vaccination marked on card 8 Don't know NA - DPT 1 day 97 Inconsistent 98 Don't know NA - DPT 1 month 97 Inconsistent 98 Don't know NA - DPT 1 year 9997 Inconsistent 9998 Don't know NA - Received POLIO 1 0 No 1 Vaccination date on card 2 Reported by mother 3 Vaccination marked on card 8 Don't know NA - POLIO 1 day 97 Inconsistent 98 Don't know NA - POLIO 1 month 97 Inconsistent 98 Don't know NA - POLIO 1 year 9997 Inconsistent 9998 Don't know NA - Received DPT 2 0 No 1 Vaccination date on card 2 Reported by mother 3 Vaccination marked on card 8 Don't know NA - DPT 2 day 97 Inconsistent 98 Don't know NA - DPT 2 month 97 Inconsistent 98 Don't know NA - DPT 2 year 9997 Inconsistent 9998 Don't know NA - Received POLIO 2 0 No 1 Vaccination date on card 2 Reported by mother 3 Vaccination marked on card 8 Don't know NA - POLIO 2 day 97 Inconsistent 98 Don't know NA - POLIO 2 month 97 Inconsistent 98 Don't know NA - POLIO 2 year 9997 Inconsistent 9998 Don't know NA - Received DPT 3 0 No 1 Vaccination date on card 2 Reported by mother 3 Vaccination marked on card 8 Don't know NA - DPT 3 day 97 Inconsistent 98 Don't know NA - DPT 3 month 97 Inconsistent 98 Don't know NA - DPT 3 year 9997 Inconsistent 9998 Don't know NA - Received POLIO 3 0 No 1 Vaccination date on card 2 Reported by mother 3 Vaccination marked on card 8 Don't know NA - POLIO 3 day 97 Inconsistent 98 Don't know NA - POLIO 3 month 97 Inconsistent 98 Don't know NA - POLIO 3 year 9997 Inconsistent 9998 Don't know NA - Received MEASLES 0 No 1 Vaccination date on card 2 Reported by mother 3 Vaccination marked on card 8 Don't know NA - MEASLES day 97 Inconsistent 98 Don't know NA - MEASLES month 97 Inconsistent 98 Don't know NA - MEASLES year 9997 Inconsistent 9998 Don't know NA - Received POLIO 0 0 No 1 Vaccination date on card 2 Reported by mother 3 Vaccination marked on card 8 Don't know NA - POLIO 0 day 97 Inconsistent 98 Don't know NA - POLIO 0 month 97 Inconsistent 98 Don't know NA - POLIO 0 year 9997 Inconsistent 9998 Don't know NA - Ever had vaccination 0 No 1 Yes 8 Don't know NA - Had diarrhea recently 0 No 1 Yes, last 24 hours 2 Yes, last two weeks 8 Don't know NA - Blood in the stools 0 No 1 Yes 8 Don't know NA - Diarrhea: government hospital 0 No 1 Yes NA - Diarrhea: CS public sector 0 No 1 Yes NA - Diarrhea: CS public sector 0 No 1 Yes NA - Diarrhea: CS public sector 0 No 1 Yes NA - Diarrhea: CS public sector 0 No 1 Yes NA - Diarrhea: CS public sector 0 No 1 Yes NA - Diarrhea: CS public sector 0 No 1 Yes NA - Diarrhea: CS public sector 0 No 1 Yes NA - Diarrhea: CS public sector 0 No 1 Yes NA - Diarrhea: private hospital/clinic 0 No 1 Yes NA - Diarrhea: private pharmacy 0 No 1 Yes NA - Diarrhea: private doctor 0 No 1 Yes NA - Diarrhea: CS private medical 0 No 1 Yes NA - Diarrhea: CS private medical 0 No 1 Yes NA - Diarrhea: CS private medical 0 No 1 Yes NA - Diarrhea: CS private medical 0 No 1 Yes NA - Diarrhea: CS private medical 0 No 1 Yes NA - Diarrhea: CS private medical 0 No 1 Yes NA - Diarrhea: CS other sector 0 No 1 Yes NA - Diarrhea: CS other sector 0 No 1 Yes NA - Diarrhea: CS other sector 0 No 1 Yes NA - Diarrhea: CS other sector 0 No 1 Yes NA - Diarrhea: CS other sector 0 No 1 Yes NA - Diarrhea: Other 0 No 1 Yes NA - Diarrhea: no treatment 0 No: received treatment 1 Yes: no treatment NA - Diarrhea: medical treatment 0 No 1 Yes NA - Given oral rehydration 0 No 1 Yes: ORS - spontaneous 2 Yes: ORS - probed 8 Don't know NA - Given pre-packaged ORS liquid 0 No 1 Yes 8 Don't know NA - Given recommended home solution 0 No 1 Yes: RHS - spontaneous 2 Yes: RHS - probed 8 Don't know NA - Given antibiotic pills or syrups 0 No 1 Yes 8 Don't know NA - Given antimotility 0 No 1 Yes 8 Don't know NA - Given antibiotic injection 0 No 1 Yes 8 Don't know NA - Given intravenous (IV) 0 No 1 Yes 8 Don't know NA - Given home remedy, herbal medicine 0 No 1 Yes 8 Don't know NA - Given zinc 0 No 1 Yes 8 Don't know NA - Given other (not antibiotic, antimotility, zinc) 0 No 1 Yes 8 Don't know NA - Given unknown pill or syrup 0 No 1 Yes 8 Don't know NA - Given non-antibiotic injection 0 No 1 Yes 8 Don't know NA - Given unknown injection 0 No 1 Yes 8 Don't know NA - Given CS 0 No 1 Yes 8 Don't know NA - Given CS 0 No 1 Yes 8 Don't know NA - Given CS 0 No 1 Yes 8 Don't know NA - Given CS 0 No 1 Yes 8 Don't know NA - Given other treatment 0 No 1 Yes 8 Don't know NA - Given no treatment 0 No: received treatment 1 Yes: no treatment 8 Don't know NA - Received any treatment 0 No 1 Yes Had fever in last two weeks 0 No 1 Yes 8 Don't know NA - Had cough in last two weeks 0 No 1 Yes, last 24 hours 2 Yes, last two weeks 8 Don't know NA - Short, rapid breaths 0 No 1 Yes 8 Don't know NA - Problem in the chest or blocked or running nose 1 Chest only 2 Nose only 3 Both 6 Other 8 Don't know NA - Had fever/cough in last 2 weeks: amount offered to drink 0 Nothing to drink 2 Much less 3 Somewhat less 4 About the same 5 More 8 Don't know NA - Had fever/cough in last 2 weeks: amount offered to eat 0 Stopped food 1 Never gave food 2 Much less 3 Somewhat less 4 About the same 5 More 8 Don't know Fever: government hospital 0 No 1 Yes Fever: government health center 0 No 1 Yes Fever: government health post 0 No 1 Yes Fever: public mobile clinic 0 No 1 Yes Fever: community health worker (VHT) 0 No 1 Yes Fever: other government sector 0 No 1 Yes Fever: PNFP hospital 0 No 1 Yes Fever: PNFP health center 0 No 1 Yes NA - Fever: CS public sector 0 No 1 Yes Fever: private hospital/clinic 0 No 1 Yes Fever: private pharmacy 0 No 1 Yes NA - Fever: CS private medical 0 No 1 Yes Fever: private mobile clinic 0 No 1 Yes Fever: private fieldworker 0 No 1 Yes Fever: other private medical sector 0 No 1 Yes NA - Fever: CS private medical 0 No 1 Yes NA - Fever: CS private medical 0 No 1 Yes NA - Fever: CS private medical 0 No 1 Yes Fever: shop 0 No 1 Yes Fever: traditional practitioner 0 No 1 Yes Fever: market 0 No 1 Yes NA - Fever: CS other sector 0 No 1 Yes NA - Fever: CS other sector 0 No 1 Yes Fever: other 0 No 1 Yes Fever: no treatment 0 No: received treatment 1 Yes: no treatment Fever: medical treatment 0 No 1 Yes NA - Received Vitamin A1 (most recent) 0 No 1 Vaccination date on card 2 Reported by mother 3 Vaccination marked on card 8 Don't know NA - Vitamin A1 day 97 Inconsistent 98 Don't know NA - Vitamin A1 month 97 Inconsistent 98 Don't know NA - Vitamin A1 year 9997 Inconsistent 9998 Don't know NA - Vitamin A in last 6 months 0 No 1 Yes 8 Don't know NA - Any vaccinations in last 2 years part of campaign 0 No 1 Yes 2 No vaccination in last 2 years 8 Don't know NA - Vaccinated during Campaign A 0 No 1 Yes 8 Don't know NA - Vaccinated during Campaign B 0 No 1 Yes 8 Don't know NA - Vaccinated during Campaign C 0 No 1 Yes 8 Don't know NA - Vaccinated during Campaign D 0 No 1 Yes 8 Don't know NA - Vaccinated during Campaign E 0 No 1 Yes 8 Don't know NA - Vaccinated during Campaign F 0 No 1 Yes 8 Don't know NA - SP/Fansidar taken for fever/cough 0 No 1 Yes NA - Chloroquine taken for fever/cough 0 No 1 Yes NA - Amodiaquine taken for fever/cough 0 No 1 Yes NA - Quinine taken for fever/cough 0 No 1 Yes NA - Combination with artemisinin taken for fever/cough 0 No 1 Yes NA - CS antimalarial taken for fever/cough 0 No 1 Yes NA - CS antimalarial taken for fever/cough 0 No 1 Yes NA - Other antimalarial taken for fever/cough 0 No 1 Yes NA - Antibiotic pill/syrup taken for fever/cough 0 No 1 Yes NA - Antibiotic injection taken for fever/cough 0 No 1 Yes NA - Aspirin taken for fever/cough 0 No 1 Yes NA - Acetaminophen/paracetamol/panadol taken for fever/cough 0 No 1 Yes NA - Ibuprofen taken for fever/cough 0 No 1 Yes NA - CS other taken for fever/cough 0 No 1 Yes NA - CS other for fever/cough 0 No 1 Yes NA - CS other for fever/cough 0 No 1 Yes NA - Other taken for fever/cough 0 No 1 Yes NA - Nothing taken for fever/cough 0 No 1 Yes, nothing taken NA - Don't know if or what was taken for fever/cough 0 No 1 Yes, don't know NA - Diarrhea in last 2 weeks: amount offered to drink 0 Nothing to drink 2 Much less 3 Somewhat less 4 About the same 5 More 8 Don't know NA - Diarrhea in last 2 weeks: amount offered to eat 0 Stopped food 1 Never gave food 2 Much less 3 Somewhat less 4 About the same 5 More 8 Don't know NA - Received Vitamin A2 (2nd most recent) 0 No 1 Vaccination date on card 2 Reported by mother 3 Vaccination marked on card 8 Don't know NA - Vitamin A2 day 97 Inconsistent 98 Don't know NA - Vitamin A2 month 97 Inconsistent 98 Don't know NA - Vitamin A2 year 9997 Inconsistent 9998 Don't know NA - Received vitamin A after most recent in card 0 No 1 Yes 8 Don't know NA - Ever received Vitamin A dose 0 No 1 Yes 8 Don't know NA - Taking iron pills, sprinkles or syrup 0 No 1 Yes 8 Don't know NA - Drugs for intestinal parasites in last 6 months 0 No 1 Yes 8 Don't know NA - Place first sought treatment for diarrhea 10 PUBLIC SECTOR 11 Government hospital 12 CS public 13 CS public 14 CS public 15 CS public 16 CS public 20 PRIVATE SECTOR 21 Private hospital, clinic 22 Pharmacy 23 Private doctor 24 CS private 25 CS private 26 CS private 30 OTHER 31 CS other 32 CS other 96 Other NA - Days after diarrhea sought advice or treatment 0 Same day 98 Don't know NA - Still has diarrhea 0 No 1 Yes 8 Don't know NA - Times zinc was given 98 Don't know Place first sought treatment for fever 10 PUBLIC SECTOR 11 Government hospital 12 Government health center 13 Government health post 14 Public mobile clinic 15 Community health worker (VHT) 16 Other public sector 17 PNFP hospital 18 PNFP health center 20 PRIVATE SECTOR 21 Private hospital, clinic 22 Pharmacy 23 Private mobile clinic 24 Fieldworker 25 Other private medical sector 30 OTHER 31 Shop 32 Traditional practitioner 33 Market 96 Other NA - Days after fever sought advice or treatment 0 Same day 98 Don't know Blood taken from child's finger/heel for testing 0 No 1 Yes 8 Don't know Case Identification Case Identification Index to Birth History Child's age in months NA - Child's weight in kilograms (1 decimal) 9994 Not present 9995 Refused 9996 Other NA - Child's height in centimeters (1 decimal) 9994 Not present 9995 Refused 9996 Other NA - Height/Age percentile 9998 Flagged cases NA - Height/Age standard deviation 9998 Flagged cases NA - Height/Age percent of ref. median 99998 Flagged cases NA - Weight/Age percentile 9998 Flagged cases NA - Weight/Age standard deviation 9998 Flagged cases NA - Weight/Age percent of ref. median 99998 Flagged cases NA - Weight/Height percentile 9998 Flagged cases NA - Weight/Height standard deviation 9998 Flagged cases NA - Weight/Height percent of ref. median 99998 Flagged cases NA - Result of measurement - height/weight 0 Measured 1 Dead 2 Sick 3 Not present 4 Refused 5 Mother refused 6 Other 7 No measurement found in household NA - Height: lying or standing 0 Not measured 1 Lying 2 Standing Day of birth of child 97 Inconsistent 98 Don't know Date measured (day) Date measured (month) Date measured (year) Line number of parent/caretaker 0 Not in household Read consent statement - hemoglobin 1 Granted 2 Refused 4 Not present Hemoglobin level (g/dL - 1 decimal) 994 Not present 995 Refused 996 Other Result of measurement - hemoglobin 0 Measured 1 Dead 3 Not present 4 Refused 6 Other 7 No measurement found in household Hemoglobin level adjusted for altitude (g/dL - 1 decimal) 997 Inconsistent Anemia level 1 Severe 2 Moderate 3 Mild 4 Not anemic NA - Agrees to referral - anemia 0 No 1 Yes NA - Height/Age standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases NA - Weight/Age standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases NA - Weight/Height standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases NA - BMI standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases Case Identification Case Identification Time interview started (hhmm - 24 hour clock) Time interview ended (hhmm - 24 hour clock) Length of interview in minutes 95 95+ 96 2+ visits 97 Inconsistent Number of visits Interviewer identification Keyer identification NA - Presence of children < 10 for 'Wife beating justified' questions 0 No 1 Yes - listening 2 Yes - not listening NA - Presence of husband for 'Wife beating justified' questions 0 No 1 Yes - listening 2 Yes - not listening NA - Presence of other males for 'Wife beating justified' questions 0 No 1 Yes - listening 2 Yes - not listening NA - Presence of other females for 'Wife beating justified' questions 0 No 1 Yes - listening 2 Yes - not listening NA - Presence of children < 10 during sexual activity section 0 No 1 Yes NA - Presence of male adults during sexual activity section 0 No 1 Yes NA - Presence of female adults during sexual activity section 0 No 1 Yes Case Identification Case Identification District of residence 102 Kampala 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 115 Mityana 117 Buikwe 118 Bukomansimbi 120 Buvuma 121 Gomba 122 Kalungu 123 Kyankwanzi 124 Lwengo 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 225 Bulambuli 226 Buyende 227 Kibuku 228 Kween 229 Luuka 230 Namayingo 231 Ngora 232 Serere 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Maracha 321 Oyam 322 Agago 323 Alebtong 325 Kole 326 Lamwo 327 Napak 328 Nwoya 329 Otuke 330 Zombo 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura 422 Kyegegwa 423 Mitooma 424 Ntoroko 425 Rubirizi 426 Sheema Language of questionnaire 1 Ateso-karamojong 2 Luganda 3 Lugbara 4 Luo 5 Runyankore-rukiga 6 Runyoro-rutoro 7 English 8 Other Language used in interview 1 Ateso-karamojong 2 Luganda 3 Lugbara 4 Luo 5 Runyankore-rukiga 6 Runyoro-rutoro 7 English 8 Other Native language of respondent 1 Ateso-karamojong 2 Luganda 3 Lugbara 4 Luo 5 Runyankore-rukiga 6 Runyoro-rutoro 7 English 8 Other Translator used 1 Not at all 2 Sometimes 3 All the time Wealth index - Urban 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score (5 decimals) - Urban Wealth index - Rural 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score (5 decimals) - Rural Malaria sample weight (6 decimals) Location of water source 1 In own dwelling 2 In own yard/plot 3 Elsewhere 7 Not a de jure resident Number of households using toilet facility 95 10 or more households 97 Not a de jure resident 98 Don't know Household has: cassette player 0 No 1 Yes 7 Not a de jure resident Household has: mobile telephone 0 No 1 Yes 7 Not a de jure resident Household has: table 0 No 1 Yes 7 Not a de jure resident Household has: chair 0 No 1 Yes 7 Not a de jure resident Household has: sofa set 0 No 1 Yes 7 Not a de jure resident Household has: bed 0 No 1 Yes 7 Not a de jure resident Household has: cupboard 0 No 1 Yes 7 Not a de jure resident Household has: clock 0 No 1 Yes 7 Not a de jure resident Number of rooms used for sleeping 97 Not a de jure resident Member of household has: watch 0 No 1 Yes 7 Not a de jure resident Member of household has: animal-drawn cart 0 No 1 Yes 7 Not a de jure resident Member of household has: boat with a motor 0 No 1 Yes 7 Not a de jure resident Member of household has: boat without motor 0 No 1 Yes 7 Not a de jure resident Highest level of education attended 1 Primary 2 'O' level 3 'A' level 4 University/tertiary Highest grade/form/year at that level Seen messages in past six months about malaria 0 No 1 Yes Seen or heard malaria messages: on radio 0 No 1 Yes Seen or heard malaria messages: on television 0 No 1 Yes Seen or heard malaria messages: on poster or billboard 0 No 1 Yes Seen or heard malaria messages: from a community health worker 0 No 1 Yes Seen or heard malaria messages: at a community event 0 No 1 Yes Seen or heard malaria messages: anywhere else 0 No 1 Yes Children born in last six years How long after fever should child be taken for treatment 1 Same day 2 Next day 3 Two days after onset of fever 4 Three or more days after onset of fever 5 Fever is normal in children, no treatment necessary 6 Depends on how serious the fever is 96 Other 98 Don't know What causes malaria: mosquito bites 0 No 1 Yes What causes malaria: parasite 0 No 1 Yes What causes malaria: eating maize 0 No 1 Yes What causes malaria: eating mangoes 0 No 1 Yes What causes malaria: eating dirty food 0 No 1 Yes What causes malaria: drinking unboiled water 0 No 1 Yes What causes malaria: getting soaked with rain 0 No 1 Yes What causes malaria: cold/changing weather 0 No 1 Yes What causes malaria: witchcraft 0 No 1 Yes What causes malaria: contact with infected person 0 No 1 Yes What causes malaria: germ 0 No 1 Yes What causes malaria: standing water/ other breeding environments 0 No 1 Yes What causes malaria: poor hygiene 0 No 1 Yes What causes malaria: other 0 No 1 Yes What causes malaria: don't know 0 No 1 Yes Malaria can be avoided 0 No 1 Yes Ways to avoid getting malaria: sleep under mosquito net 0 No 1 Yes Ways to avoid getting malaria: sleep under an insecticide treated net 0 No 1 Yes Ways to avoid getting malaria: taking preventative medication 0 No 1 Yes Ways to avoid getting malaria: use mosquito repellant 0 No 1 Yes Ways to avoid getting malaria: spraying house with insecticide 0 No 1 Yes Ways to avoid getting malaria: using mosquito coils 0 No 1 Yes Ways to avoid getting malaria: destroy mosquito breeding sites 0 No 1 Yes Ways to avoid getting malaria: boil water 0 No 1 Yes Ways to avoid getting malaria: good hygiene/ clean environments 0 No 1 Yes Ways to avoid getting malaria: other 0 No 1 Yes Ways to avoid getting malaria: don't know 0 No 1 Yes Medicine a pregnant woman can be given to avoid getting malaria: SP/Fansidar 0 No 1 Yes Medicine a pregnant woman can be given to avoid getting malaria: chloroquine 0 No 1 Yes Medicine a pregnant woman can be given to avoid getting malaria: chloroquine wit 0 No 1 Yes Medicine a pregnant woman can be given to avoid getting malaria: coartem/ACT 0 No 1 Yes Medicine a pregnant woman can be given to avoid getting malaria: other 0 No 1 Yes Medicine a pregnant woman can be given to avoid getting malaria: don't know 0 No 1 Yes Number of times a woman should take SP/Fansidar during pregnancy 98 Don't know Case Identification Case Identification Index to Birth History Main reason for no antenatal care 11 Clinic too far 12 Had no money 13 Had no time 14 Not aware had to attend 15 Did not want to attend 96 Other reason 98 Don't know Main reason no antimalarial drugs taken during pregnancy 11 Clinic too far 12 Had no money 13 Side effects 14 Not aware had to take any 15 Did not want to take 16 No drugs available/ not given 96 Other reason 98 Don't know Main reason SP/Fansidar only taken once during pregnancy 11 Clinic too far 12 Had no money 13 Side effects 14 Not aware had to take more 15 Did not want to take 16 No drugs available/ not given 96 Other reason 98 Don't know Case Identification Case Identification Index to Birth History Reasons for not seeking advice: child just fell ill 0 No 1 Yes Reasons for not seeking advice: child not very ill 0 No 1 Yes Reasons for not seeking advice: clinic too far 0 No 1 Yes Reasons for not seeking advice: had no money 0 No 1 Yes Reasons for not seeking advice: waiting for child's father 0 No 1 Yes Reasons for not seeking advice: don't know what to do 0 No 1 Yes Reasons for not seeking advice: already had medicine at home 0 No 1 Yes Reasons for not seeking advice: other 0 No 1 Yes Number of days taking Coartem/ACT 95 Still taking 98 Don't know Case Identification Case Identification Index to Birth History Type of mosquito bed net(s) child slept under last night 0 No net 1 Only treated nets 2 Both treated and untreated nets 3 Only untreated nets Number of times took fansidar during pregnancy 98 Don't know Source of antimalarial during pregnancy 1 Antenatal visit 2 Another facility visit 6 Other source NA - Child has fever/cough now 0 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 0 No 1 Yes 8 Don't know Fansidar taken for fever/cough 0 No 1 Yes Chloroquine taken for fever/cough 0 No 1 Yes Amodiaquine taken for fever/cough 0 No 1 Yes Quinine taken for fever/cough 0 No 1 Yes Combination with artemisinin taken for fever/cough 0 No 1 Yes NA - CS antimalarial taken for fever/cough 0 No 1 Yes NA - CS antimalarial taken for fever/cough 0 No 1 Yes Other antimalarial taken for fever/cough 0 No 1 Yes Antibiotic pill/syrup taken for fever/cough 0 No 1 Yes Antibiotic injection taken for fever/cough 0 No 1 Yes Aspirin taken for fever/cough 0 No 1 Yes Acetaminophen/paracetamol/panadol taken for fever/cough 0 No 1 Yes Ibuprofen taken for fever/cough 0 No 1 Yes NA - CS other taken for fever/cough 0 No 1 Yes NA - CS other taken for fever/cough 0 No 1 Yes NA - CS other taken for fever/cough 0 No 1 Yes Other taken for fever/cough 0 No 1 Yes Nothing taken for fever/cough 0 No 1 Yes, nothing taken Don't know if or what was taken for fever/cough 0 No 1 Yes, don't know NA - Injection given for fever/convulsion*** 0 No 1 Yes NA - Suppository given for fever/convulsion*** 0 No 1 Yes NA - No suppository or injection given for fever/convulsion*** 0 No 1 Yes NA - Don't know if suppository or injection given for fever/convulsion*** 0 No 1 Yes Timing of start of fansidar 0 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 7 7+ days 8 Don't know NA - First source for fansidar 0 Other source 1 At home 8 Don't know Timing of start of chloroquine 0 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 7 7+ days 8 Don't know NA - First source for chloroquine 0 Other source 1 At home 8 Don't know Timing of start of amodiaquine 0 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 7 7+ days 8 Don't know NA - First source for amodiaquine 0 Other source 1 At home 8 Don't know Timing of start of quinine 0 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 7 7+ days 8 Don't know NA - First source for quinine 0 Other source 1 At home 8 Don't know NA - For fever/convulsion: consulted traditional healer*** 0 No 1 Yes NA - For fever/convulsion: gave tepid sponging*** 0 No 1 Yes NA - For fever/convulsion: gave herbs*** 0 No 1 Yes NA - For fever/convulsion: CS*** 0 No 1 Yes NA - For fever/convulsion: CS*** 0 No 1 Yes NA - For fever/convulsion: CS*** 0 No 1 Yes NA - For fever/convulsion: other*** 0 No 1 Yes NA - For fever/convulsion: gave/did nothing*** 0 No 1 Yes NA - For fever/convulsion: don't know if something else was done*** 0 No 1 Yes Timing of start of combination with artemisinin 0 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 7 7+ days 8 Don't know NA - First source for combination with artemisinin 0 Other source 1 At home 8 Don't know NA - Timing of start of CS antimalarial use 0 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 7 7+ days 8 Don't know NA - First source for CS antimalarial 0 Other source 1 At home 8 Don't know NA - Timing of start of CS antimalarial use 0 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 7 7+ days 8 Don't know NA - First source for CS antimalarial 0 Other source 1 At home 8 Don't know Timing of start of other anti-malarial use 0 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 7 7+ days 8 Don't know NA - First source for other anti-malarial 0 Other source 1 At home 8 Don't know NA - First source for antibiotic pill/syrup 0 Other source 1 At home 8 Don't know