DDI_WBG_UGA_2018_MIS_v01_M Development Economics Data Group 2020-04-27 Metadata Editor Version 01 (April 2020). Metadata is excerpted from "Uganda Malaria Indicator Survey 2018-19" Report. WBG_UGA_2018_MIS_v01_M Malaria Indicator Survey 2018 - 2019 MIS / UMIS 2018-19 National Malaria Control Division (NMCD) Uganda Bureau of Statistics (UBOS) ICF Government of Uganda United States Agency for International Development United Kingdom Department for International Development Global Fund Metadata Editor Information about The DHS Program General Inquiries Data and Data Related Resources Malaria Indicator Survey [hh/mis] The data dictionary was generated from hierarchical data that was downloaded from the The DHS Program website (http://dhsprogram.com). Uganda National coverage Sample survey data [ssd] Uganda Bureau of Statistics Face-to-face [f2f] A spreadsheet containing all sampling parameters and selection probabilities was constructed to facilitate the calculation of sampling weights. Household sampling weights and individual sampling weights were calculated by adjusting the previous calculated weight to compensate household nonresponse and individual nonresponse, respectively. These weights were further normalised at the national level to produce unweighted cases equal to weighted cases for both households and individuals at the national level. The normalised weights are valid for estimation of proportions and means at any aggregation levels, but not valid for estimation of totals. All electronic data files for the 2018-19 UMIS were transferred via ICF’s IFSS to the UBOS central office in Kampala, where they were stored on a password-protected computer. The data processing operation included registering and checking for inconsistencies, incompleteness, and outliers. Data editing and cleaning included structure and consistency checks to ensure completeness of work in the field. The central office also conducted secondary editing, which required resolution of computer-identified inconsistencies and coding of open-ended questions. The data were processed by UBOS staff who took part in the main fieldwork training and were supervised by senior staff from UBOS. The Census and Survey Processing (CSPro) System software package was used for data editing. Secondary editing and data processing were completed in February 2019. A total of 8,878 households selected for the sample in the main survey, 8,448 were occupied at the time of fieldwork. Among the occupied households, 8,351 were successfully interviewed, yielding a total household response rate of 99%. In the interviewed households, 8,389 women were eligible for individual interview, and 8,231 were successfully interviewed, yielding a response rate of 98%. In the refugee settlements, the household response rate was almost 100%, and the response rate among women was 99%. The DHS Program The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. RECH0.dta 9494 51 .dta RECH1.dta 45767 9 .dta RECH2.dta 8957 66 .dta RECH3.dta 9494 15 .dta RECH6.dta 8125 43 .dta RECHML.dta 20134 32 .dta RECHMH.dta 45767 26 .dta REC01.dta 9032 39 .dta REC11.dta 8868 43 .dta REC21.dta 8427 23 .dta REC22.dta 8868 23 .dta REC41.dta 4826 52 .dta REC42.dta 8868 19 .dta REC4A.dta 7124 42 .dta REC44.dta 7124 15 .dta REC81.dta 8868 8 .dta RECML.dta 7124 69 .dta REC91.dta 9032 68 .dta REC94.dta 4826 13 .dta FWRECORD.dta 136 34 .dta Fieldworker record 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) Date of interview Century Day Code (CDC) 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 NA - Keyer identification Ever-married sample 0 All woman sample 1 Ever married sample Primary sampling unit Sample strata for sampling errors 1 Kampala 2 South Buganda 3 North Buganda 4 Busoga 5 Bukedi 6 Bugisu 7 Teso 8 Karamoja 9 Lango 10 Acholi 11 West Nile 12 Bunyoro 13 Tooro 14 Ankole 15 Kigezi 16 Refugee settlements Stratification used in sample design 1 Kampala 2 South Buganda 3 North Buganda 4 Busoga 5 Bukedi 6 Bugisu 7 Teso 8 Karamoja 9 Lango 10 Acholi 11 West Nile 12 Bunyoro 13 Tooro 14 Ankole 15 Kigezi 16 Refugee settlements Region 1 Kampala 2 South Buganda 3 North Buganda 4 Busoga 5 Bukedi 6 Bugisu 7 Teso 8 Karamoja 9 Lango 10 Acholi 11 West Nile 12 Bunyoro 13 Tooro 14 Ankole 15 Kigezi Type of place of residence 1 Urban 2 Rural 3 Refugee 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 NA - Office editor Number of eligible children for height and weight Cluster altitude in meters Total adults measured Household selected for hemoglobin 0 Not selected 1 Selected Language of questionnaire 1 English 2 Luganda 3 Luo 4 Lugbara 5 Ateso 6 Runyankole/Rukiga 7 Runyoro/Rutoro 96 Other Language of interview 1 English 2 Luganda 3 Luo 4 Lugbara 5 Ateso 6 Runyankole/Rukiga 7 Runyoro/Rutoro 96 Other Native language of respondent 1 English 2 Luganda 3 Luo 4 Lugbara 5 Ateso 6 Runyankole/Rukiga 7 Runyoro/Rutoro 96 Other Translator used 0 No 1 Yes 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 for biomarker Day of biomarker visit Month of biomarker visit Year of biomarker visit Date of biomarker (CMC) Date of biomarker Century Day Code (CDC) 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/stepchild 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 Eligibility for female interview 0 Not eligible 1 Eligible Children eligibility for height/weight and hemoglobin 0 Not eligible 1 Eligible Case Identification Source of drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 Piped to neighbor 14 Public tap/standpipe 20 TUBE WELL WATER 21 Tube well or borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE FROM SPRING 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irrigation channel 51 Rainwater 61 Tanker truck 63 Bicycle with jerrycans 71 Bottled water 72 Sachet water 96 Other Source of non-drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 Piped to neighbor 14 Public tap/standpipe 20 TUBE WELL WATER 21 Tube well or borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE FROM SPRING 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irrigation channel 51 Rainwater 61 Tanker truck 62 Cart with small tank 63 Bicycle with jerrycans 71 Bottled water 96 Other NA - Water not available for at least a day last two weeks 0 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) 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 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 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 Dung 20 RUDIMENTARY 21 Wood planks 22 Palm/bamboo 30 FINISHED 31 Parquet or polished wood 32 Concrete 33 Ceramic tiles 34 Cement 35 Carpet 36 Stones 37 Bricks 96 Other Main wall material 10 NATURAL 11 No walls 12 Thatched/straw 13 Dirt 20 RUDIMENTARY 21 Poles with mud 22 Stone with mud 23 Unburnt bricks with mud 24 Plywood 25 Cardboard 26 Reused wood 27 Unburnt bricks with plaster 28 Burnt bricks with mud 30 FINISHED 31 Cement 32 Stone with lime/cement 33 Burnt bricks with cement 34 Cement blocks 35 Unburnt bricks with cement 36 Wood planks/shingles 96 Other Main roof material 10 NATURAL 11 No roof 12 Thatch/palm leaf 13 Mud 20 RUDIMENTARY 21 Rustic mat 22 Tins 23 Wood planks 24 Cardboard 25 Tarpaulin 30 FINISHED 31 Iron sheets 32 Wood 33 Asbestos 34 Tiles 35 Concrete 36 Roofing shingles 96 Other Number of rooms used for sleeping 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/Cylinder gas 3 Natural gas 4 Biogas 5 Kerosene 6 Coal, lignite 7 Charcoal 8 Wood 9 Straw/shrubs/grass 10 Agricultural crop 11 Animal dung 95 No food cooked in house 96 Other Has mosquito bed net for sleeping 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 Location of source for water 1 In own dwelling 2 In own yard/plot 3 Elsewhere Number of households sharing toilet 95 10 or more households 98 Don't know 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 Has a computer 0 No 1 Yes Owns land usable for agriculture 0 No 1 Yes Hectares of agricultural land (1 decimal) 950 95 or more 998 Unknown Owns livestock, herds or farm animals 0 No 1 Yes NA - Owns cattle 0 None 95 95 or more 98 Unknown NA - 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/poultry 0 None 95 95 or more 98 Unknown Owns exotic/cross-breed cattle 0 None 95 95 or more 98 Unknown Owns local cattle 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 Has bank account 0 No 1 Yes Has dwelling been sprayed against mosquitoes in last 12 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 combined 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score combined (5 decimals) Wealth index for urban/rural 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score for urban/rural (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 District 101 Kalangala 102 Kampala 103 Kiboga 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 115 Mityana 116 Nakaseke 117 Buikwe 120 Buvuma 121 Gomba 122 Kalungu 123 Kyankwanzi 124 Lwengo 125 Kyotera 126 Kassanda 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 225 Bulambuli 226 Buyende 227 Kibuku 228 Kween 229 Luuka 230 Namayingo 231 Ngora 232 Serere 233 Butebo 234 Namisindwa 235 Bugweri 236 Kapelebyong 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Maracha 321 Oyam 322 Agago 323 Alebtong 324 Amudat 325 Kole 326 Lamwo 327 Napak 328 Nwoya 329 Otuke 330 Zombo 331 Omoro 332 Pakwach 333 Kwania 334 Nabilatuk 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 409 Masindi 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura 421 Kiryandongo 422 Kyegegwa 423 Mitooma 424 Ntoroko 426 Sheema 427 Kagadi 428 Kakumiro 429 Rubanda 430 Rukiga 431 Bunyangabu 432 Kikuube Refugee settlements 0 Not in refugee settlement 1 Refugee settlement Has cassette/CD/DVD 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 Months ago dwelling was last sprayed 0 Less than 1 month ago Paid for dwelling to be sprayed 0 No 1 Yes 8 Don't know CHW/CMD/VHT who distributes malaria medicine in community 0 No 1 Yes 8 Don't know CHW currently has malaria medicine available 0 No 1 Yes 8 Don't know Case Identification Index to Household Schedule Child's age in months Child's age in days Day of birth 97 Inconsistent 98 Don't know Date measured (day) Date measured (month) Date measured (year) Century Day Code (CDC) of measurement Fieldworker measurer code 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) Century Day Code (CDC) of birth Completeness of HC32 information 0 Month, year and day 1 Month and year - information complete 2 Month and age - year imputed 3 Year and age - month imputed 5 Year - age/month imputed 6 Age - year/month imputed 7 Month - age/year imputed 8 None - all imputed Line number of parent/caretaker 0 Not in household Read consent statement - hemoglobin 1 Granted 2 Refused 3 Not present/other Hemoglobin level (g/dl - 1 decimal) 994 Not present 995 Refused 996 Other Result of measurement - hemoglobin 0 Measured 3 Not present/other 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 Tertiary 5 University 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 Child has any symptoms: extreme weakness 0 No 1 Yes Child has any symptoms: heart problems 0 No 1 Yes Child has any symptoms: loss of consciousness 0 No 1 Yes Child has any symptoms: rapid or difficult breathing 0 No 1 Yes Child has any symptoms: seizures 0 No 1 Yes Child has any symptoms: abnormal bleeding 0 No 1 Yes Child has any symptoms: jaundice or yellow skin 0 No 1 Yes Child has any symptoms: dark urine 0 No 1 Yes Child has been given malaria medication in past two weeks 0 No 1 Yes Malaria medication accepted 1 Accepted 5 Refused 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 NA - 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 insecticide treated nets (LLIN) 11 LLIN - Permanet 2.0 12 LLIN - Permanet 3.0 13 LLIN - Duranet 14 LLIN - Interceptor 15 LLIN - Netprotect 16 LLIN - Olyset 17 LLIN - Olyset plus 18 LLIN - Dawa plus 19 LLIN - Iconlife 20 LLIN - Yorkool 21 LLIN - Magnet 22 LLIN - Other 23 LLIN - Don't know brand 96 Other brand 98 Dont' know brand Net treated since received 0 No 1 Yes 2 Permanent/LLIN net 8 Not sure NA - Time since last re-treatment (months) 95 25+ months ago 96 More than 3 years ago 98 Don't know Insecticide-Treated Net (ITN) 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 Not sure (DK) 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 Obtained net from campaign, antenatal or immunization visit 0 No 1 Yes, campaign 2 Yes, antenatal care 3 Yes, immunization visit Place where net was obtained 10 1 11 2 12 3 20 4 21 5 30 6 31 7 32 8 33 9 34 10 36 11 40 12 41 13 42 14 96 15 98 16 Reason net was not used: too hot 0 No 1 Yes Reason net was not used: don't like smell 0 No 1 Yes Reason net was not used: no mosquitos 0 No 1 Yes Reason net was not used: net too old/many holes 0 No 1 Yes Reason net was not used: unable to hang 0 No 1 Yes Reason net was not used: no place to hang 0 No 1 Yes Reason net was not used: chemicals in net not safe 0 No 1 Yes Reason net was not used: saving for rainy season 0 No 1 Yes Reason net was not used: saving to replace other net 0 No 1 Yes Reason net was not used: material too hard/rough 0 No 1 Yes Reason net was not used: usual user didn't sleep here 0 No 1 Yes Reason net was not used: other reason 0 No 1 Yes Reason net was not used: don't know 0 No 1 Yes 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 Parent/other responsible refused 3 Respondent refused 4 Adult/parent not present 5 Minor not present Final result of malaria from blood smear test 0 Negative 1 Positive 6 Test undetermined 7 Sample not found in lab database 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 Fieldworker measurer code for malaria 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) Date of interview Century Day Code (CDC) 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 Primary sampling unit Sample strata for sampling errors 1 Kampala 2 South Buganda 3 North Buganda 4 Busoga 5 Bukedi 6 Bugisu 7 Teso 8 Karamoja 9 Lango 10 Acholi 11 West Nile 12 Bunyoro 13 Tooro 14 Ankole 15 Kigezi 16 Refugee settlements Stratification used in sample design 1 Kampala 2 South Buganda 3 North Buganda 4 Busoga 5 Bukedi 6 Bugisu 7 Teso 8 Karamoja 9 Lango 10 Acholi 11 West Nile 12 Bunyoro 13 Tooro 14 Ankole 15 Kigezi 16 Refugee settlements Region 1 Kampala 2 South Buganda 3 North Buganda 4 Busoga 5 Bukedi 6 Bugisu 7 Teso 8 Karamoja 9 Lango 10 Acholi 11 West Nile 12 Bunyoro 13 Tooro 14 Ankole 15 Kigezi Type of place of residence 1 Urban 2 Rural 3 Refugee NA - De facto place of residence 0 Capital, large city 1 Small city 2 Town 3 Countryside Number of visits Interviewer identification NA - Keyer identification Field supervisor NA - Field editor NA - 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 Language of questionnaire 1 English 2 Luganda 3 Luo 4 Lugbara 5 Ateso 6 Runyankole/Rukiga 7 Runyoro/Rutoro 96 Other Language of interview 1 English 2 Luganda 3 Luo 4 Lugbara 5 Ateso 6 Runyankole/Rukiga 7 Runyoro/Rutoro 96 Other Native language of respondent 1 English 2 Luganda 3 Luo 4 Lugbara 5 Ateso 6 Runyankole/Rukiga 7 Runyoro/Rutoro 96 Other Translator used 0 No 1 Yes Case Identification Case Identification Region 1 Kampala 2 South Buganda 3 North Buganda 4 Busoga 5 Bukedi 6 Bugisu 7 Teso 8 Karamoja 9 Lango 10 Acholi 11 West Nile 12 Bunyoro 13 Tooro 14 Ankole 15 Kigezi 16 Refugee settlements Type of place of residence 1 Urban 2 Rural 3 Refugee settlements 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 Piped to neighbor 14 Public tap/standpipe 20 TUBE WELL WATER 21 Tube well or borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE FROM SPRING 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irrigation channel 51 Rainwater 61 Tanker truck 62 Cart with small tank 63 Bicycle with jerrycans 71 Bottled water 72 Sachet water 96 Other 97 Not a dejure resident Time to get to water source 996 On premises 997 Not a dejure 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 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 0 No 1 Yes 7 Not a dejure resident Household has: radio 0 No 1 Yes 7 Not a dejure resident Household has: television 0 No 1 Yes 7 Not a dejure resident Household has: refrigerator 0 No 1 Yes 7 Not a dejure resident Household has: bicycle 0 No 1 Yes 7 Not a dejure resident Household has: motorcycle/scooter 0 No 1 Yes 7 Not a dejure resident Household has: car/truck 0 No 1 Yes 7 Not a dejure resident Main floor material 10 NATURAL 11 Earth/sand 12 Dung 20 RUDIMENTARY 21 Wood planks 22 Palm/bamboo 30 FINISHED 31 Parquet or polished wood 32 Concrete 33 Ceramic tiles 34 Cement 35 Carpet 36 Stones 37 Bricks 96 Other 97 Not a dejure resident Main wall material 10 NATURAL 11 No walls 12 Thatched/straw 13 Dirt 20 RUDIMENTARY 21 Poles with mud 22 Stone with mud 23 Unburnt bricks with mud 24 Plywood 25 Cardboard 26 Reused wood 27 Unburnt bricks with plaster 28 Burnt bricks with mud 30 FINISHED 31 Cement 32 Stone with lime/cement 33 Burnt bricks with cement 34 Cement blocks 35 Unburnt bricks with cement 36 Wood planks/shingles 96 Other 97 Not a dejure resident Main roof material 10 NATURAL 11 No roof 12 Thatch/palm leaf 13 Mud 20 RUDIMENTARY 21 Rustic mat 22 Tins 23 Wood planks 24 Cardboard 25 Tarpaulin 30 FINISHED 31 Iron sheets 32 Wood 33 Asbestos 34 Tiles 35 Concrete 36 Roofing shingles 96 Other 97 Not a dejure resident Religion 10 No religion 11 Anglican 12 Catholic 13 Muslim 14 Seventh Day Adventist 15 Orthodox 16 Pentecostal/Born Again/Evangelical 17 Baha'i 18 Baptist 19 Jewish 20 Presbyterian 21 Mammon 22 Hindu 23 Buddhist 24 Jehovah's Witness 25 Salvation Army 26 Traditional 96 Other 99 Missing Ethnicity 511 Acholi 512 Aliba 513 Alur 514 Aringa 515 Baamba 516 Babukusu 517 Babwisi 518 Bafumbira 519 Baganda 520 Bagisu 521 Bagungu 522 Bagwe 523 Bagwere 524 Bahehe 525 Bahororo 526 Bakenyi 527 Bakiga 528 Bakonzo 529 Banyabindi 530 Banyabutumbi 531 Banyankore 532 Banyara 533 Banyaruguru 534 Banyarwanda 535 Banyole 536 Banyoro 537 Baruli 538 Barundi 539 Basamia 540 Basoga 541 Basongora 542 Batagwenda 543 Batoro 544 Batuku 545 Batwa 546 Chope 547 Dodoth 548 Ethur 549 Gimara 550 Ik (Teuso) 551 Iteso 552 Jie 553 Jonam 554 Jopadhola 555 Kakwa 556 Karimojong 557 Kebu (Okebu) 558 Kuku 559 Kumam 560 Lango 561 Lendu 562 Lugbara 563 Madi 564 Mening 565 Mvuba 566 Napore 567 Ngikutio 568 Nubi 569 Nyangia 570 Pokot 571 Reli 572 Sabiny 573 Shana 574 So (Tepeth) 575 Vonoma 996 Other Education in single years 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 Kampala 2 South Buganda 3 North Buganda 4 Busoga 5 Bukedi 6 Bugisu 7 Teso 8 Karamoja 9 Lango 10 Acholi 11 West Nile 12 Bunyoro 13 Tooro 14 Ankole 15 Kigezi 16 Refugee settlements 97 Not dejure resident De jure type of place of residence 0 Abroad 1 Urban 2 Rural 3 Refugee settlement 7 Not a dejure resident NA - De jure place of residence 0 Capital, large city 1 City 2 Town 3 Countryside 4 Abroad 7 Not a dejure 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 dejure resident 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 Toilet facilities shared with other households 0 No 1 Yes 7 Not a dejure resident Type of cooking fuel 1 Electricity 2 LPG/Cylinder gas 3 Natural gas 4 Biogas 5 Kerosene 6 Coal, lignite 7 Charcoal 8 Wood 9 Straw/shrubs/grass 10 Agricultural crop 11 Animal dung 95 No food cooked in house 96 Other 97 Not a dejure resident Wealth index combined 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score combined (5 decimals) Wealth index for urban/rural 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score for urban/rural (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 0 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) Succeeding birth interval (months) NA - Flag for age at death 0 No flag 1 > interview 2 3 4 5 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 Day of birth Century Day Code of birth (CDC) Current age of child in months (months since birth for dead children) 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 - Age of respondent at 1st birth Currently pregnant 0 No or unsure 1 Yes Duration of current pregnancy Number of living children Living children + current pregnancy Living children + current pregnancy (grouped) 6 6+ Last birth to interview (months) Completeness of current pregnancy information 7 Month - exact date 8 None - date placed Entries in birth history Birth between last and interview 0 No 1 Yes Births in last three years Case Identification Case Identification Index to Birth History 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/assistant 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 Prenatal: community/village health worker 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 Timing of 1st antenatal check (months) 98 Don't know Number of antenatal visits during pregnancy 0 No antenatal visits 98 Don't know During pregnancy took: SP/fansidar for malaria 0 No 1 Yes 8 Don't know NA - During pregnancy took: chloroquine 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 NA - During pregnancy took: CS drug for malaria 0 No 1 Yes 8 Don't know NA - During pregnancy took: other drug for malaria 0 No 1 Yes 8 Don't know NA - During pregnancy took: don't know 0 No 1 Yes: don't know which drug taken 8 Don't know NA - During pregnancy took: no drug for malaria 0 No 1 Yes, took no drug 8 Don't know Antenatal care: respondent's home 0 No 1 Yes 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 Antenatal care: government hospital 0 No 1 Yes Antenatal care: government health center 0 No 1 Yes Antenatal care: other pulic sector 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 Antenatal care: private hospital/clinic 0 No 1 Yes Antenatal care: other private medical sector 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 Antenatal care: other 0 No 1 Yes Case Identification Case Identification Entries in pregnancy and postnatal care roster Entries in child health roster Entries in height/weight roster 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 responsible refused 3 Respondent refused 4 Adult/parent not present 5 Minor not present NA - Hemoglobin level (g/dl - 1 decimal) 994 Not present 995 Refused 996 Other 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 - Record for Last Birth 0 See specific questions 1 Last birth only 2 All births in last 5 years Case Identification Case Identification Index to birth history 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 Fever/cough: government hospital 0 No 1 Yes Fever/cough: government health center 0 No 1 Yes Fever/cough: mobile clinic/outreach 0 No 1 Yes Fever/cough: community health worker/VHT 0 No 1 Yes Fever/cough: other public sector 0 No 1 Yes NA - Fever/cough: CS public sector 0 No 1 Yes NA - Fever/cough: CS public sector 0 No 1 Yes NA - Fever/cough: CS public sector 0 No 1 Yes NA - Fever/cough: CS public sector 0 No 1 Yes Fever/cough: private hospital/ clinic 0 No 1 Yes Fever/cough: private pharmacy/drug shop 0 No 1 Yes Fever/cough: private doctor 0 No 1 Yes Fever/cough: private mobile clinic 0 No 1 Yes Fever/cough: private fieldworker 0 No 1 Yes Fever/cough: other private sector 0 No 1 Yes NA - Fever/cough: CS private medical 0 No 1 Yes NA - Fever/cough: CS private medical 0 No 1 Yes NA - Fever/cough: CS private medical 0 No 1 Yes Fever/cough: shop 0 No 1 Yes Fever/cough: traditional practitioner 0 No 1 Yes Fever/cough: market 0 No 1 Yes Fever/cough: hawker/itinerant drug seller 0 No 1 Yes NA - Fever/cough: CS other sector 0 No 1 Yes Fever/cough: other 0 No 1 Yes Fever/cough: no treatment 0 No: received treatment 1 Yes: no treatment Fever/cough: medical treatment 0 No 1 Yes Place first sought treatment for fever 10 PUBLIC SECTOR 11 Government hospital 12 Government health center 13 Mobile clinic/outreach 14 Community health worker/VHT 15 Other public sector 20 PRIVATE SECTOR 21 Private hospital, clinic 22 Pharmacy/drug shop 23 Private doctor 24 Mobile clinic 25 Fieldworker 26 Other private sector 30 OTHER 31 Shop 32 Traditional practitioner 33 Market 34 Hawker/itinerant drug seller 96 Other Number of days after fever began sought advice or treatment 0 Same day 98 Don't know Blood taken from child's finger/heel for testing 0 No 1 Yes 8 Don't know Reason for not seeking advice: child just fell ill 0 No 1 Yes Reason for not seeking advice: child not very ill 0 No 1 Yes Reason for not seeking advice: clinic too far 0 No 1 Yes Reason for not seeking advice: have no money 0 No 1 Yes Reason for not seeking advice: waiting for child's father 0 No 1 Yes Reason for not seeking advice: don't know what to do 0 No 1 Yes Reason for not seeking advice: already had medicine at home 0 No 1 Yes Reason for not seeking advice: other reason 0 No 1 Yes Case Identification Case Identification Index to Birth History Child's age in months 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 3 Not present/other 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 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 NA - Keyer identification 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 0 No 1 Yes Chloroquine taken for fever 0 No 1 Yes Amodiaquine taken for fever 0 No 1 Yes Quinine taken for fever 0 No 1 Yes Quinine injection/IV taken for fever 0 No 1 Yes Combination with artemisinin taken for fever 0 No 1 Yes Artesunate rectal taken for fever 0 No 1 Yes Artesunate injection/IV taken for fever 0 No 1 Yes NA - CS antimalarial taken for fever 0 No 1 Yes NA - CS antimalarial taken for fever 0 No 1 Yes Other antimalarial taken for fever 0 No 1 Yes Antibiotic pill/syrup taken for fever 0 No 1 Yes Antibiotic injection taken for fever 0 No 1 Yes Aspirin taken for fever 0 No 1 Yes Acetaminophen/paracetamol/panadol taken for fever 0 No 1 Yes Ibuprofen taken for fever 0 No 1 Yes NA - CS other taken for fever 0 No 1 Yes NA - CS other taken for fever 0 No 1 Yes NA - CS other taken for fever 0 No 1 Yes Other taken for fever 0 No 1 Yes Nothing taken and didn't seek treatment for fever/cough 0 No 1 Yes, nothing taken Don't know if or what was taken for fever 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 Timing of start of artesunate 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 Case Identification Case Identification District 101 Kalangala 102 Kampala 103 Kiboga 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 115 Mityana 116 Nakaseke 117 Buikwe 120 Buvuma 121 Gomba 122 Kalungu 123 Kyankwanzi 124 Lwengo 125 Kyotera 126 Kassanda 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 225 Bulambuli 226 Buyende 227 Kibuku 228 Kween 229 Luuka 230 Namayingo 231 Ngora 232 Serere 233 Butebo 234 Namisindwa 235 Bugweri 236 Kapelebyong 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Maracha 321 Oyam 322 Agago 323 Alebtong 324 Amudat 325 Kole 326 Lamwo 327 Napak 328 Nwoya 329 Otuke 330 Zombo 331 Omoro 332 Pakwach 333 Kwania 334 Nabilatuk 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 409 Masindi 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura 421 Kiryandongo 422 Kyegegwa 423 Mitooma 424 Ntoroko 426 Sheema 427 Kagadi 428 Kakumiro 429 Rubanda 430 Rukiga 431 Bunyangabu 432 Kikuube Refugee settlements 0 Not in refugee settlement 1 Refugee settlement Has cassette/CD/DVD player 0 No 1 Yes 7 Not a de jure member Has table 0 No 1 Yes 7 Not a de jure member Has chair 0 No 1 Yes 7 Not a de jure member Has sofa set 0 No 1 Yes 7 Not a de jure member Has bed 0 No 1 Yes 7 Not a de jure member Has cupboard 0 No 1 Yes 7 Not a de jure member Has clock 0 No 1 Yes 7 Not a de jure member Has boat without a motor 0 No 1 Yes 7 Not a de jure member Highest educational level 0 No education 1 Primary 2 'O' level 3 'A' level 4 Tertiary 5 University Seen/heard any messages about malaria 0 No 1 Yes Seen/heard messages: radio 0 No 1 Yes Seen/heard messages: television 0 No 1 Yes Seen/heard messages: poster/billboard 0 No 1 Yes Seen/heard messages: community health worker 0 No 1 Yes Seen/heard messages: community event 0 No 1 Yes Seen/heard messages: interpersonal communication 0 No 1 Yes Seen/heard messages: flyers 0 No 1 Yes Seen/heard messages: social mobilization 0 No 1 Yes Seen/heard messages: social media 0 No 1 Yes Seen/heard messages: anywhere else 0 No 1 Yes Number of births since 2013 0 None How long after fever should child be taken for treatment 1 Same day 2 Next day 3 Two days after onset of fever 4 Three or more days after onset of fever 5 Fever is normal in children, no treatment necessary 6 Depends on how serious the fever is 96 Other 98 Don't know Cause of malaria: mosquito bites 0 No 1 Yes Cause of malaria: mosquitoes 0 No 1 Yes Cause of malaria: parasite 0 No 1 Yes Cause of malaria: eating maize 0 No 1 Yes Cause of malaria: eating mangoes 0 No 1 Yes Cause of malaria: eating dirty food 0 No 1 Yes Cause of malaria: drinking un-boiled water 0 No 1 Yes Cause of malaria: getting soaked with rain 0 No 1 Yes Cause of malaria: cold/changing weather 0 No 1 Yes Cause of malaria: witchcraft 0 No 1 Yes Cause of malaria: contact with infected person 0 No 1 Yes Cause of malaria: germ 0 No 1 Yes Cause of malaria: standing water/breeding environments 0 No 1 Yes Cause of malaria: poor hygiene/dirty environment 0 No 1 Yes Cause of malaria: not sleeping under net 0 No 1 Yes Cause of malaria: other cause 0 No 1 Yes Cause of malaria: don't know 0 No 1 Yes Malaria can be avoided 0 No 1 Yes Ways to avoid malaria: sleep under net 0 No 1 Yes Ways to avoid malaria: sleep under an ITN 0 No 1 Yes Ways to avoid malaria: taking preventative medication 0 No 1 Yes Ways to avoid malaria: use mosquito repellant 0 No 1 Yes Ways to avoid malaria: spraying house with insecticide 0 No 1 Yes Ways to avoid malaria: using mosquito coils 0 No 1 Yes Ways to avoid malaria: destroy mosquito breeding sites 0 No 1 Yes Ways to avoid malaria: boil water 0 No 1 Yes Ways to avoid malaria: good hygiene/keeping clean environments 0 No 1 Yes Ways to avoid malaria: other 0 No 1 Yes Ways to avoid malaria: don't know 0 No 1 Yes Medicine for pregnant women to prevent malaria: SP/Fansidar 0 No 1 Yes Medicine for pregnant women to prevent malaria: Chloroquine 0 No 1 Yes Medicine for pregnant women to prevent malaria: Chloroquine with Fansidar 0 No 1 Yes Medicine for pregnant women to prevent malaria: Coartem/ACT 0 No 1 Yes Medicine for pregnant women to prevent malaria: other 0 No 1 Yes Medicine for pregnant women to prevent malaria: don't know 0 No 1 Yes Number of times a woman should take SP/Fansidar during pregnancy 98 Don't know Sleeping under a bed net is the best way to avoid malaria 1 Agree 2 Disagree 8 Don't know/uncertain Can easily hang a net 1 Agree 2 Disagree 8 Don't know/uncertain Pregnant women should take antimalarials 1 Agree 2 Disagree 8 Don't know/uncertain Takes entire course of malaria medicine 1 Agree 2 Disagree 8 Don't know/uncertain Children should visit a health provider the same or next day after fever 1 Agree 2 Disagree 8 Don't know/uncertain Community comes together to prevent malaria 1 Agree 2 Disagree 8 Don't know/uncertain Case Identification Case Identification Index to Birth History Main reason for no ANC 1 Facility too far 2 Had no money 3 Had no time 4 Not aware had to attend 5 Did not want to attend 6 Other 8 Don't know Reason for taking SP/Fansidar only once: facility too far 0 No 1 Yes Reason for taking SP/Fansidar only once: had no money 0 No 1 Yes Reason for taking SP/Fansidar only once: side effects 0 No 1 Yes Reason for taking SP/Fansidar only once: not aware had to take more 0 No 1 Yes Reason for taking SP/Fansidar only once: did not want to take 0 No 1 Yes Reason for taking SP/Fansidar only once: not given 0 No 1 Yes Reason for taking SP/Fansidar only once: not available 0 No 1 Yes Reason for taking SP/Fansidar only once: other reason 0 No 1 Yes Reason for taking SP/Fansidar only once: don't know 0 No 1 Yes Fieldworker code Country code and phase Fieldworker district of residence 101 KALANGALA 102 KAMPALA 103 KIBOGA 104 LUWERO 106 MPIGI 107 MUBENDE 108 MUKONO 109 NAKASONGOLA 110 RAKAI 111 SSEMBABULE 112 KAYUNGA 113 WAKISO 115 MITYANA 116 NAKASEKE 117 BUIKWE 120 BUVUMA 121 GOMBA 122 KALUNGU 123 KYANKWANZI 124 LWENGO 125 KYOTERA 126 KASSANDA 201 BUGIRI 202 BUSIA 203 IGANGA 204 JINJA 205 KAMULI 206 KAPCHORWA 207 KATAKWI 208 KUMI 209 MBALE 210 PALLISA 211 SOROTI 212 TORORO 213 KABERAMAIDO 214 MAYUGE 215 SIRONKO 216 AMURIA 217 BUDAKA 218 BUDUDA 219 BUKEDEA 220 BUKWO 221 BUTALEJA 222 KALIRO 223 MANAFWA 224 NAMUTUMBA 225 BULAMBULI 226 BUYENDE 227 KIBUKU 228 KWEEN 229 LUUKA 230 NAMAYINGO 231 NGORA 232 SERERE 233 BUTEBO 234 NAMISINDWA 235 BUGWERI 236 KAPELEBYONG 301 ADJUMANI 302 APAC 303 ARUA 304 GULU 305 KITGUM 306 KOTIDO 307 LIRA 308 MOROTO 309 MOYO 310 NEBBI 311 NAKAPIRIPIRIT 312 PADER 313 YUMBE 314 ABIM 315 AMOLATAR 316 AMURU 317 DOKOLO 318 KAABONG 319 KOBOKO 320 MARACHA 321 OYAM 322 AGAGO 323 ALEBTONG 324 AMUDAT 325 KOLE 326 LAMWO 327 NAPAK 328 NWOYA 329 OTUKE 330 ZOMBO 331 OMORO 332 PAKWACH 333 KWANIA 334 NABILATUK 401 BUNDIBUGYO 402 BUSHENYI 403 HOIMA 404 KABALE 405 KABAROLE 406 KASESE 407 KIBAALE 408 KISORO 409 MASINDI 410 MBARARA 411 NTUNGAMO 412 RUKUNGIRI 413 KAMWENGE 414 KANUNGU 415 KYENJOJO 416 BULIISA 417 IBANDA 418 ISINGIRO 419 KIRUHURA 421 KIRYANDONGO 422 KYEGEGWA 423 MITOOMA 424 NTOROKO 426 SHEEMA 427 KAGADI 428 KAKUMIRO 429 RUBANDA 430 RUKIGA 431 BUNYANGABU 432 KIKUUBE Fieldworker type of place of residence 1 City 2 Town 3 Rural Fieldworker age Fieldworker sex 1 Male 2 Female 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 ever had a child who died 1 Yes 2 No Highest level of school attended by fieldworker 1 Primary 2 'O' level 3 'A' level 4 Tertiary 5 University Highest grade/form/year at that level completed by fieldworker 0 Less than one year at level Fieldworker religion 10 No religion 11 Anglican 12 Catholic 13 Muslim 14 Seventh Day Adventist 15 Orthodox 16 Pentecostal/Born Again/Evangelical 17 Baha'i 18 Baptist 19 Jewish 20 Presbyterian 21 Mammon 22 Hindu 23 Buddhist 24 Jehovah's Witness 25 Salvation Army 26 Traditional 96 Other Fieldworker ethnicity 511 ACHOLI 512 ALIBA 513 ALUR 514 ARINGA 515 BAAMBA 516 BABUKUSU 517 BABWISI 518 BAFUMBIRA 519 BAGANDA 520 BAGISU 521 BAGUNGU 522 BAGWE 523 BAGWERE 524 BAHEHE 525 BAHORORO 526 BAKENYI 527 BAKIGA 528 BAKONZO 529 BANYABINDI 530 BANYABUTUMBI 531 BANYANKORE 532 BANYARA 533 BANYARUGURU 534 BANYARWANDA 535 BANYOLE 536 BANYORO 537 BARULI 538 BARUNDI 539 BASAMIA 540 BASOGA 541 BASONGORA 542 BATAGWENDA 543 BATORO 544 BATUKU 545 BATWA 546 CHOPE 547 DODOTH 548 ETHUR 549 GIMARA 550 IK (TEUSO) 551 ITESO 552 JIE 553 JONAM 554 JOPADHOLA 555 KAKWA 556 KARIMOJONG 557 KEBU (OKEBU) 558 KUKU 559 KUMAM 560 LANGO 561 LENDU 562 LUGBARA 563 MADI 564 MENING 565 MVUBA 566 NAPORE 567 NGIKUTIO 568 NUBI 569 NYANGIA 570 POKOT 571 RELI 572 SABINY 573 SHANA 574 SO (TEPETH) 575 VONOMA 996 Other Languages spoken by fieldworker English Luganda Luo Lugbara Ateso Ngakarimojong Runyankole/Rukiga Runyoro/Rutoro Lusoga Language J Language K Language L Language M Other language No other language Fieldworker's mother tongue/native language 10 English 11 Luganda 12 Luo 13 Lugbara 14 Ateso 15 Ngakarimojong 16 Runyankole/Rukiga 17 Runyoro/Rutoro 18 Lusoga 96 Other Has fieldworker ever worked on a DHS/MIS 1 Yes 2 No Has fieldworker ever worked on any other survey 1 Yes 2 No Was fieldworker working for agency at the time employed for DHS 1 Yes, UBOS 2 Yes, MOH 3 Yes, NMCP 4 No Is fieldworker a permanent or temporary employee of agency 1 Permanent 2 Temporary