DDI_KEN_2020_MIS_v01_M_WB Development Economics Data Group 2021-11-01 Metadata Editor Version 01 (November 2021). Metadata is excerpted from "Kenya Malaria Indicator Survey 2020" Report. KEN_2020_MIS_v01_M Malaria Indicator Survey 2020 MIS / KMIS 2020 Division of National Malaria Programme (DNMP) National Bureau of Statistics (KNBS) ICF Government of Kenya United States Agency 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 2020 Kenya Malaria Indicator Survey (KMIS) is the fourth survey of its kind to be carried out in Kenya. Previous MIS surveys were conducted in 2007, 2010, and 2015. As with the previous KMIS surveys, the 2020 KMIS was designed to follow the Roll Back Malaria Monitoring and Evaluation Working Group guidelines, the Kenya National Malaria Strategy 2019-2023, and the Kenya Malaria Monitoring and Evaluation Plan 2019-2023. The data dictionary was generated from hierarchical data that was downloaded from the The DHS Program website (http://dhsprogram.com). Kenya National coverage The survey covered all de jure household members (usual residents), women age 15-49 years and children age 0-14 years resident in the household. Sample survey data [ssd] National Bureau of Statistics Computer Assisted Personal Interview [capi] Four types of questionnaires were used for the 2020 KMIS: the Household Questionnaire, the Woman’s Questionnaire, the Biomarker Questionnaire, and the Fieldworker Questionnaire. The questionnaires were adapted to reflect issues relevant to Kenya. Modifications were determined after a series of meetings with various stakeholders from DNMP and other government ministries and agencies, nongovernmental organisations, and international partners. The Household and Woman’s Questionnaires in English and Kiswahili were programmed into Android tablets, which enabled the use of computer-assisted personal interviewing (CAPI) for data collection. The Biomarker Questionnaire, in English and Kiswahili, was filled out on hard copy and then entered into the CAPI system. A total of 8,845 households were selected for the survey, of which 8,185 were occupied at the time of fieldwork. Among the occupied households, 7,952 were successfully interviewed, yielding a response rate of 97%. In the interviewed households, 7,035 eligible women were identified for individual interviews and 6,771 were successfully interviewed, yielding a response rate of 96%. 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 8845 51 .dta RECH1.dta 31302 9 .dta RECH2.dta 7952 60 .dta RECH3.dta 8845 17 .dta RECH6.dta 12920 46 .dta RECHML.dta 10121 20 .dta RECHMH.dta 31302 27 .dta REC01.dta 7035 39 .dta REC11.dta 6771 49 .dta REC21.dta 4245 23 .dta REC22.dta 6771 22 .dta REC41.dta 2064 52 .dta REC42.dta 6771 9 .dta REC4A.dta 3626 35 .dta REC44.dta 3626 15 .dta REC81.dta 6771 8 .dta RECML.dta 3626 72 .dta REC91.dta 7035 68 .dta REC94.dta 2064 14 .dta FWRECORD.dta 133 32 .dta 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 14 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 Urban Nairobi 2 Rural Nyandarua 3 Urban Nyandarua 4 Rural Nyeri 5 Urban Nyeri 6 Rural Kirinyaga 7 Urban Kirinyaga 8 Rural Muranga 9 Urban Muranga 10 Rural Kiambu 11 Urban Kiambu 12 Urban Mombasa 13 Rural Kwale 14 Urban Kwale 15 Rural Kilifi 16 Urban Kilifi 17 Rural Tana River 18 Urban Tana River 19 Rural Lamu 20 Urban Lamu 21 Rural Taita Taveta 22 Urban Taita Taveta 23 Rural Marsabit 24 Urban Marsabit 25 Rural Isiolo 26 Urban Isiolo 27 Rural Meru 28 Urban Meru 29 Rural Tharaka 30 Urban Tharaka 31 Rural Embu 32 Urban Embu 33 Rural Kitui 34 Urban Kitui 35 Rural Machakos 36 Urban Machakos 37 Rural Makueni 38 Urban Makueni 39 Rural Garissa 40 Urban Garissa 41 Rural Wajir 42 Urban Wajir 43 Rural Mandera 44 Urban Mandera 45 Rural Siaya 46 Urban Siaya 47 Rural Kisumu 48 Urban Kisumu 49 Rural Migori 50 Urban Migori 51 Rural Homa Bay 52 Urban Homa Bay 53 Rural Kisii 54 Urban Kisii 55 Rural Nyamira 56 Urban Nyamira 57 Rural Turkana 58 Urban Turkana 59 Rural West Pokot 60 Urban West Pokot 61 Rural Samburu 62 Urban Samburu 63 Rural Trans-Nzoia 64 Urban Trans-Nzoia 65 Rural Baringo 66 Urban Baringo 67 Rural Uasin Gishu 68 Urban Uasin Gishu 69 Rural Elgeyo Marakwet 70 Urban Elgeyo Marakwet 71 Rural Nandi 72 Urban Nandi 73 Rural Laikipia 74 Urban Laikipia 75 Rural Nakuru 76 Urban Nakuru 77 Rural Narok 78 Urban Narok 79 Rural Kajiado 80 Urban Kajiado 81 Rural Kericho 82 Urban Kericho 83 Rural Bomet 84 Urban Bomet 85 Rural Kakamega 86 Urban Kakamega 87 Rural Vihiga 88 Urban Vihiga 89 Rural Bungoma 90 Urban Bungoma 91 Rural Busia 92 Urban Busia Stratification used in sample design 1 Urban Nairobi 2 Rural Nyandarua 3 Urban Nyandarua 4 Rural Nyeri 5 Urban Nyeri 6 Rural Kirinyaga 7 Urban Kirinyaga 8 Rural Muranga 9 Urban Muranga 10 Rural Kiambu 11 Urban Kiambu 12 Urban Mombasa 13 Rural Kwale 14 Urban Kwale 15 Rural Kilifi 16 Urban Kilifi 17 Rural Tana River 18 Urban Tana River 19 Rural Lamu 20 Urban Lamu 21 Rural Taita Taveta 22 Urban Taita Taveta 23 Rural Marsabit 24 Urban Marsabit 25 Rural Isiolo 26 Urban Isiolo 27 Rural Meru 28 Urban Meru 29 Rural Tharaka 30 Urban Tharaka 31 Rural Embu 32 Urban Embu 33 Rural Kitui 34 Urban Kitui 35 Rural Machakos 36 Urban Machakos 37 Rural Makueni 38 Urban Makueni 39 Rural Garissa 40 Urban Garissa 41 Rural Wajir 42 Urban Wajir 43 Rural Mandera 44 Urban Mandera 45 Rural Siaya 46 Urban Siaya 47 Rural Kisumu 48 Urban Kisumu 49 Rural Migori 50 Urban Migori 51 Rural Homa Bay 52 Urban Homa Bay 53 Rural Kisii 54 Urban Kisii 55 Rural Nyamira 56 Urban Nyamira 57 Rural Turkana 58 Urban Turkana 59 Rural West Pokot 60 Urban West Pokot 61 Rural Samburu 62 Urban Samburu 63 Rural Trans-Nzoia 64 Urban Trans-Nzoia 65 Rural Baringo 66 Urban Baringo 67 Rural Uasin Gishu 68 Urban Uasin Gishu 69 Rural Elgeyo Marakwet 70 Urban Elgeyo Marakwet 71 Rural Nandi 72 Urban Nandi 73 Rural Laikipia 74 Urban Laikipia 75 Rural Nakuru 76 Urban Nakuru 77 Rural Narok 78 Urban Narok 79 Rural Kajiado 80 Urban Kajiado 81 Rural Kericho 82 Urban Kericho 83 Rural Bomet 84 Urban Bomet 85 Rural Kakamega 86 Urban Kakamega 87 Rural Vihiga 88 Urban Vihiga 89 Rural Bungoma 90 Urban Bungoma 91 Rural Busia 92 Urban Busia Region 1 Coast 2 North Eastern 3 Eastern 4 Central 5 Rift Valley 7 Western 8 Nyanza 9 Nairobi 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 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 Kiswahili Language of interview 1 English 2 Kiswahili 3 Borana 4 Embu 5 Kalenjin 6 Kamba 7 Kikuyu 8 Kisii 9 Luhya 10 Maragoli 11 Luo 12 Maasi 13 Meru 14 Mijkenda 15 Pokot 16 Somali 17 Turkana 96 Other Native language of respondent 1 English 2 Kiswahili 3 Borana 4 Embu 5 Kalenjin 6 Kamba 7 Kikuyu 8 Kisii 9 Luhya 10 Maragoli 11 Luo 12 Maasi 13 Meru 14 Mijkenda 15 Pokot 16 Somali 17 Turkana 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/step 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 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 62 Cart with small tank 71 Bottled 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 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 Vinyl or asphalt strips 33 Ceramic tiles 34 Cement 35 Carpet 96 Other Main wall material 10 NATURAL 11 No walls 12 Cane/palm/trunks 13 Dirt 20 RUDIMENTARY 21 Bamboo with mud 22 Stone with mud 23 Uncovered adobe 24 Plywood 25 Cardboard 26 Reused wood 30 FINISHED 31 Cement 32 Stone with lime/cement 33 Bricks 34 Cement blocks 35 Covered adobe 36 Wood planks/shingles 96 Other Main roof material 10 NATURAL 11 No roof 12 Thatch/palm leaf 13 Sod 20 RUDIMENTARY 21 Rustic mat 22 Palm/bamboo 23 Wood planks 24 Cardboard 30 FINISHED 31 Iron sheets 32 Wood 33 Calamine/cement fiber 34 Brick/clay tiles 35 Cement 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 3 Natural gas 4 Biogas 5 Kerosene 6 Coal, lignite 7 Charcoal 8 Wood 9 Straw/shrubs/grass 10 Agricultural crop 11 Animal dung 12 Solar 13 Alcohol/ethanol 14 Gasoline/diesel 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 Location of toilet facility 1 In own dwelling 2 In own yard/plot 3 Elsewhere 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 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 Owns cattle 0 None 95 95 or more 98 Unknown Owns cows/ bulls 0 None 95 95 or more 98 Unknown NA - 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 horses 0 None 95 95 or more 98 Unknown Owns donkeys 0 None 95 95 or more 98 Unknown Owns mules 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 Has bank account 0 No 1 Yes 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 County 101 Nairobi 201 Nyandarua 202 Nyeri 203 Kirinyaga 204 Muranga 205 Kiambu 301 Mombasa 302 Kwale 303 Kilifi 304 Tana River 305 Lamu 306 Taita Taveta 401 Marsabit 402 Isiolo 403 Meru 404 Tharaka 405 Embu 406 Kitui 407 Machakos 408 Makueni 501 Garissa 502 Wajir 503 Mandera 601 Siaya 602 Kisumu 603 Migori 604 Homa Bay 605 Kisii 606 Nyamira 701 Turkana 702 West Pokot 703 Samburu 704 Trans-Nzoia 705 Baringo 706 Uasin Gishu 707 Elgeyo Marakwet 708 Nandi 709 Laikipia 710 Nakuru 711 Narok 712 Kajiado 713 Kericho 714 Bomet 801 Kakamega 802 Vihiga 803 Bungoma 804 Busia Malaria endemicity zone 1 Highland Epidemic Prone 2 Lake Endemic 3 Coastal Endemic 4 Seasonal 5 Low Risk Type of cooking device 1 Electric stove 2 Solar cooker 3 Liquefied petroleum gas (LPG)/cooking gas stove 4 Piped natural gas stove 5 Biogas stove 6 Liquid fuel stove 7 Manufactured solid fuel stove 8 Traditional solid fuel stove 9 Three stone stove/open fire 95 No food cooked in household 96 Other Type of fuel/energy source for cooking device 1 Alcohol/ethanol 2 Gasoline/diesel 3 Kerosene/paraffin 4 Coal/lignite 5 Charcoal 6 Wood 7 Straw/shrubs/grass 8 Agricultural crop 9 Animal dung/waste 10 Processed biomass (pellets) or woodchips 11 Garbage/plastic 12 Sawdust 96 Other Has solar panel 0 No 1 Yes Has table 0 No 1 Yes Has chair 0 No 1 Yes Has sofa 0 No 1 Yes Has bed 0 No 1 Yes Has cupboard 0 No 1 Yes Has clock 0 No 1 Yes Has microwave oven 0 No 1 Yes Has DVD player 0 No 1 Yes Has CD player 0 No 1 Yes Member use phone for financial transactions 0 No 1 Yes Household used mosquito repellent spray 0 No 1 Yes Case Identification Index to Household Schedule Child's age in months 60 60+ Child's age in days 2501 2501+ 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 Post-primary/vocational 3 Secondary/'A' level 4 College (middle level) 5 University 8 Don't know Child's age in months ( country specific version of HC1 ) Child's age in days ( country specific version of HC1A ) Illness or symptoms: extreme weakness 0 No 1 Yes Illness or symptoms: heart problems 0 No 1 Yes Illness or symptoms: loss of consciousness 0 No 1 Yes Illness or symptoms: rapid breathing 0 No 1 Yes Illness or symptoms: seizures 0 No 1 Yes Illness or symptoms: bleeding 0 No 1 Yes Illness or symptoms: jaundice 0 No 1 Yes Illness or symptoms: dark urine 0 No 1 Yes Taken ACT for malaria treatment in the past two weeks 0 No 1 Yes Accepted medicine 1 Accepted medicine 2 Refused 6 Other Fieldworker number for malaria medicine Date of data collection Day of data collection 98 Don't know Month of data collection 1 January 2 February 3 March 4 April 5 May 6 June 7 July 8 August 9 September 10 October 11 November 12 December 98 DK month Year of data collection 2020 2020 2021 2021 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 Olyset (Supanet extra) 12 Permanet (Supanet extra) 13 Netprotect 14 Yorkool 15 Dawa Plus 16 Other/Don't know brand (LLIN) 20 Pretreated net 96 Other brand (not LLIN) 98 Don't know type NA - 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, child welfare visit Place where net was obtained 10 Government health facility 20 Private health facility 30 Other sources 31 Pharmacy 32 Shop/market 33 CHW 34 Religious institution 35 School 96 Other 98 Don't know Main reason bed net not used 1 Too hot 2 Don't like net shape/color/size 3 Don't like smell 4 Unable to hang net 5 Slept outdoors 6 Usual user didn't sleep here last night 7 No mosquitoes/no malaria 8 Extra net/saving for later 9 Net too small/short 10 Net brought bedbugs 11 Net in poor condition 96 Other 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 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) 60 60+ 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 Child's age in months ( country specific version of HML16A ) 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 Urban Nairobi 2 Rural Nyandarua 3 Urban Nyandarua 4 Rural Nyeri 5 Urban Nyeri 6 Rural Kirinyaga 7 Urban Kirinyaga 8 Rural Muranga 9 Urban Muranga 10 Rural Kiambu 11 Urban Kiambu 12 Urban Mombasa 13 Rural Kwale 14 Urban Kwale 15 Rural Kilifi 16 Urban Kilifi 17 Rural Tana River 18 Urban Tana River 19 Rural Lamu 20 Urban Lamu 21 Rural Taita Taveta 22 Urban Taita Taveta 23 Rural Marsabit 24 Urban Marsabit 25 Rural Isiolo 26 Urban Isiolo 27 Rural Meru 28 Urban Meru 29 Rural Tharaka 30 Urban Tharaka 31 Rural Embu 32 Urban Embu 33 Rural Kitui 34 Urban Kitui 35 Rural Machakos 36 Urban Machakos 37 Rural Makueni 38 Urban Makueni 39 Rural Garissa 40 Urban Garissa 41 Rural Wajir 42 Urban Wajir 43 Rural Mandera 44 Urban Mandera 45 Rural Siaya 46 Urban Siaya 47 Rural Kisumu 48 Urban Kisumu 49 Rural Migori 50 Urban Migori 51 Rural Homa Bay 52 Urban Homa Bay 53 Rural Kisii 54 Urban Kisii 55 Rural Nyamira 56 Urban Nyamira 57 Rural Turkana 58 Urban Turkana 59 Rural West Pokot 60 Urban West Pokot 61 Rural Samburu 62 Urban Samburu 63 Rural Trans-Nzoia 64 Urban Trans-Nzoia 65 Rural Baringo 66 Urban Baringo 67 Rural Uasin Gishu 68 Urban Uasin Gishu 69 Rural Elgeyo Marakwet 70 Urban Elgeyo Marakwet 71 Rural Nandi 72 Urban Nandi 73 Rural Laikipia 74 Urban Laikipia 75 Rural Nakuru 76 Urban Nakuru 77 Rural Narok 78 Urban Narok 79 Rural Kajiado 80 Urban Kajiado 81 Rural Kericho 82 Urban Kericho 83 Rural Bomet 84 Urban Bomet 85 Rural Kakamega 86 Urban Kakamega 87 Rural Vihiga 88 Urban Vihiga 89 Rural Bungoma 90 Urban Bungoma 91 Rural Busia 92 Urban Busia Stratification used in sample design 1 Urban Nairobi 2 Rural Nyandarua 3 Urban Nyandarua 4 Rural Nyeri 5 Urban Nyeri 6 Rural Kirinyaga 7 Urban Kirinyaga 8 Rural Muranga 9 Urban Muranga 10 Rural Kiambu 11 Urban Kiambu 12 Urban Mombasa 13 Rural Kwale 14 Urban Kwale 15 Rural Kilifi 16 Urban Kilifi 17 Rural Tana River 18 Urban Tana River 19 Rural Lamu 20 Urban Lamu 21 Rural Taita Taveta 22 Urban Taita Taveta 23 Rural Marsabit 24 Urban Marsabit 25 Rural Isiolo 26 Urban Isiolo 27 Rural Meru 28 Urban Meru 29 Rural Tharaka 30 Urban Tharaka 31 Rural Embu 32 Urban Embu 33 Rural Kitui 34 Urban Kitui 35 Rural Machakos 36 Urban Machakos 37 Rural Makueni 38 Urban Makueni 39 Rural Garissa 40 Urban Garissa 41 Rural Wajir 42 Urban Wajir 43 Rural Mandera 44 Urban Mandera 45 Rural Siaya 46 Urban Siaya 47 Rural Kisumu 48 Urban Kisumu 49 Rural Migori 50 Urban Migori 51 Rural Homa Bay 52 Urban Homa Bay 53 Rural Kisii 54 Urban Kisii 55 Rural Nyamira 56 Urban Nyamira 57 Rural Turkana 58 Urban Turkana 59 Rural West Pokot 60 Urban West Pokot 61 Rural Samburu 62 Urban Samburu 63 Rural Trans-Nzoia 64 Urban Trans-Nzoia 65 Rural Baringo 66 Urban Baringo 67 Rural Uasin Gishu 68 Urban Uasin Gishu 69 Rural Elgeyo Marakwet 70 Urban Elgeyo Marakwet 71 Rural Nandi 72 Urban Nandi 73 Rural Laikipia 74 Urban Laikipia 75 Rural Nakuru 76 Urban Nakuru 77 Rural Narok 78 Urban Narok 79 Rural Kajiado 80 Urban Kajiado 81 Rural Kericho 82 Urban Kericho 83 Rural Bomet 84 Urban Bomet 85 Rural Kakamega 86 Urban Kakamega 87 Rural Vihiga 88 Urban Vihiga 89 Rural Bungoma 90 Urban Bungoma 91 Rural Busia 92 Urban Busia Region 1 Coast 2 North Eastern 3 Eastern 4 Central 5 Rift Valley 7 Western 8 Nyanza 9 Nairobi 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 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 Kiswahili Language of interview 1 English 2 Kiswahili 3 Borana 4 Embu 5 Kalenjin 6 Kamba 7 Kikuyu 8 Kisii 9 Luhya 10 Maragoli 11 Luo 12 Maasi 13 Meru 14 Mijkenda 15 Pokot 16 Somali 17 Turkana 96 Other Native language of respondent 1 English 2 Kiswahili 3 Borana 4 Embu 5 Kalenjin 6 Kamba 7 Kikuyu 8 Kisii 9 Luhya 10 Maragoli 11 Luo 12 Maasi 13 Meru 14 Mijkenda 15 Pokot 16 Somali 17 Turkana 96 Other Translator used 0 No 1 Yes Case Identification Case Identification Region 1 Coast 2 North Eastern 3 Eastern 4 Central 5 Rift Valley 7 Western 8 Nyanza 9 Nairobi Type of place of residence 1 Urban 2 Rural 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 71 Bottled 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 Vinyl or asphalt strips 33 Ceramic tiles 34 Cement 35 Carpet 96 Other 97 Not a dejure resident Main wall material 10 NATURAL 11 No walls 12 Cane/palm/trunks 13 Dirt 20 RUDIMENTARY 21 Bamboo with mud 22 Stone with mud 23 Uncovered adobe 24 Plywood 25 Cardboard 26 Reused wood 30 FINISHED 31 Cement 32 Stone with lime/cement 33 Bricks 34 Cement blocks 35 Covered adobe 36 Wood planks/shingles 96 Other 97 Not a dejure resident Main roof material 10 NATURAL 11 No roof 12 Thatch/palm leaf 13 Sod 20 RUDIMENTARY 21 Rustic mat 22 Palm/bamboo 23 Wood planks 24 Cardboard 30 FINISHED 31 Iron sheets 32 Wood 33 Calamine/cement fiber 34 Brick/clay tiles 35 Cement 36 Roofing shingles 96 Other 97 Not a dejure resident Religion 1 Roman Catholic 2 Protestant/other Christian 3 Muslim 4 No religion 96 Other NA - Ethnicity 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 14 and under in household (de jure) Number of eligible women in household (de facto) De jure region of residence 0 Abroad 1 Coast 2 North Eastern 3 Eastern 4 Central 5 Rift Valley 7 Western 8 Nyanza 9 Nairobi 97 Not dejure resident De jure type of place of residence 0 Abroad 1 Urban 2 Rural 7 Not a dejure resident 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 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 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 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 dejure 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 12 Solar 13 Alcohol/ethanol 14 Gasoline/diesel 95 No food cooked in house 96 Other 97 Not a dejure resident Owns a mobile telephone 0 No 1 Yes Use of internet 0 Never 1 Yes, last 12 months 2 Yes, before last 12 months 3 Yes, can't establish when Frequency of using internet last month 0 Not at all 1 Less than once a week 2 At least once a week 3 Almost every day 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 Currently pregnant 0 No or unsure 1 Yes Duration of current pregnancy 0 Less than one month 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 NA - Prenatal: CS health professional 0 No 1 Yes NA - Prenatal: CS health professional 0 No 1 Yes NA - Prenatal: CS health professional 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 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: government dispensary 0 No 1 Yes Antenatal care: other public 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 Antenatal care: private hospital 0 No 1 Yes Antenatal care: private clinic 0 No 1 Yes Antenatal care: private faith-based, church 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 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 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 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: public health center 0 No 1 Yes Fever/cough: government dispensary 0 No 1 Yes Fever/cough: public mobile clinic 0 No 1 Yes Fever/cough: public community health worker/fieldworker 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 Fever/cough: private hospital 0 No 1 Yes Fever/cough: private pharmacy 0 No 1 Yes Fever/cough: private doctor 0 No 1 Yes Fever/cough: private clinic 0 No 1 Yes Fever/cough: private mobile clinic 0 No 1 Yes Fever/cough: private community health worker 0 No 1 Yes Fever/cough: other private medical 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 Fever/cough: shop 0 No 1 Yes Fever/cough: traditional practitioner 0 No 1 Yes Fever/cough: market 0 No 1 Yes Fever/cough: 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 1 11 2 12 3 13 4 14 5 15 6 16 7 20 8 21 9 22 10 23 11 24 12 25 13 26 14 27 15 30 16 31 17 32 18 33 19 34 20 96 21 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 Told child had malaria 0 No 1 Yes 8 Don't know 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 NA - 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 Amoxicillin taken for fever 0 No 1 Yes Cotrimoxazole 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 NA - 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 NA - 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 NA - 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 NA - 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 NA - 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 NA - 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 AL taken for fever 0 No 1 Yes DHAP taken for fever 0 No 1 Yes Other ACT (not AL or DHAP) taken for fever 0 No 1 Yes Case Identification Case Identification County 101 Nairobi 201 Nyandarua 202 Nyeri 203 Kirinyaga 204 Muranga 205 Kiambu 301 Mombasa 302 Kwale 303 Kilifi 304 Tana River 305 Lamu 306 Taita Taveta 401 Marsabit 402 Isiolo 403 Meru 404 Tharaka 405 Embu 406 Kitui 407 Machakos 408 Makueni 501 Garissa 502 Wajir 503 Mandera 601 Siaya 602 Kisumu 603 Migori 604 Homa Bay 605 Kisii 606 Nyamira 701 Turkana 702 West Pokot 703 Samburu 704 Trans-Nzoia 705 Baringo 706 Uasin Gishu 707 Elgeyo Marakwet 708 Nandi 709 Laikipia 710 Nakuru 711 Narok 712 Kajiado 713 Kericho 714 Bomet 801 Kakamega 802 Vihiga 803 Bungoma 804 Busia Malaria endemicity zone 1 Highland Epidemic Prone 2 Lake Endemic 3 Coastal Endemic 4 Seasonal 5 Low Risk Mobile phone is a smart phone 0 No 1 Yes Total births in 2015-2020 Length of pregnancy 101 Weeks: 1 201 Months 1 Seen malaria messages in past 6 months 0 No 1 Yes Where malaria messages were seen: radio 0 No 1 Yes Where malaria messages were seen: television 0 No 1 Yes Where malaria messages were seen: poster/billboard 0 No 1 Yes Where malaria messages were seen: newspaper/magazine 0 No 1 Yes Where malaria messages were seen: leaflet/brochure 0 No 1 Yes Where malaria messages were seen: healthcare provider 0 No 1 Yes Where malaria messages were seen: community health worker 0 No 1 Yes Where malaria messages were seen: social media 0 No 1 Yes Where malaria messages were seen: relative/friend 0 No 1 Yes Where malaria messages were seen: community dialogue/baraza 0 No 1 Yes Where malaria messages were seen: community leader/elder 0 No 1 Yes Where malaria messages were seen: community event/roadshow 0 No 1 Yes Where malaria messages were seen: school pupils 0 No 1 Yes Where malaria messages were seen: anywhere else 0 No 1 Yes Where malaria messages were seen: don't know/don't remember 0 No 1 Yes What malaria messages were seen or heard: If you have symptoms of malaria go to 0 No 1 Yes What malaria messages were seen or heard: Sleep under an insecticide-treated mos 0 No 1 Yes What malaria messages were seen or heard: Pregnant women should take medicine to 0 No 1 Yes What malaria messages were seen or heard: SP protects pregnant women and unborn 0 No 1 Yes What malaria messages were seen or heard: Always test before treating malaria 0 No 1 Yes What malaria messages were seen or heard: Treat malaria with ACTs 0 No 1 Yes What malaria messages were seen or heard: malaria kills 0 No 1 Yes What malaria messages were seen or heard: other 0 No 1 Yes What malaria messages were seen or heard: don't know/don't remember 0 No 1 Yes Are there ways to prevent malaria 0 No 1 Yes Things to do to prevent malaria: Sleep under a mosquito net 0 No 1 Yes Things to do to prevent malaria: Sleep under an insecticide-treated mosquito net 0 No 1 Yes Things to do to prevent malaria: Use mosquito repellent 0 No 1 Yes Things to do to prevent malaria: Take preventative medications 0 No 1 Yes Things to do to prevent malaria: Spray house with insecticide 0 No 1 Yes Things to do to prevent malaria: Fill in stagnant waters (puddles) 0 No 1 Yes Things to do to prevent malaria: Keep surroundings clean 0 No 1 Yes Things to do to prevent malaria: Put mosquito screen on windows 0 No 1 Yes Things to do to prevent malaria: Pregnant women take SP/Fansidar 0 No 1 Yes Things to do to prevent malaria: other 0 No 1 Yes Things to do to prevent malaria: don't know 0 No 1 Yes What is the recommended treatment for malaria: ACT/AL 0 No 1 Yes What is the recommended treatment for malaria: SP/fansidar 0 No 1 Yes What is the recommended treatment for malaria: chloroquine 0 No 1 Yes What is the recommended treatment for malaria: amodiaquine 0 No 1 Yes What is the recommended treatment for malaria: other 0 No 1 Yes What is the recommended treatment for malaria: don't know 0 No 1 Yes Agree/disagree: get malaria during rainy season 1 Agree 2 Disagree 8 Don't know/uncertain Agree/disagree: worry child's fever may be malaria 1 Agree 2 Disagree 8 Don't know/uncertain Agree/disagree: don't worry about malaria because of treatment 1 Agree 2 Disagree 8 Don't know/uncertain Agree/disagree: only weak children die of malaria 1 Agree 2 Disagree 8 Don't know/uncertain Agree/disagree: sleep under a bed net all night with many mosquitoes 1 Agree 2 Disagree 8 Don't know/uncertain Agree/disagree: sleep under a bed net all night with few mosquitoes 1 Agree 2 Disagree 8 Don't know/uncertain Agree/disagree: not sleeping under a bed net when its too warm 1 Agree 2 Disagree 8 Don't know/uncertain Agree/disagree: confident in hanging a bed net 1 Agree 2 Disagree 8 Don't know/uncertain Agree/disagree: give medicine to child with fever 1 Agree 2 Disagree 8 Don't know/uncertain Agree/disagree: take child to HC right away when they have a fever 1 Agree 2 Disagree 8 Don't know/uncertain Agree/disagree: people sleep under a bed net every night 1 Agree 2 Disagree 8 Don't know/uncertain bed net used for other than sleeping 0 No 1 Yes 8 Don't know Other uses of bed net: Cover/protect the garden or chicks 0 No 1 Yes Other uses of bed net: Fishing activities 0 No 1 Yes Other uses of bed net: window screen 0 No 1 Yes Other uses of bed net: clothing/wedding veil 0 No 1 Yes Other uses of bed net: other 0 No 1 Yes Other uses of bed net: don't know 0 No 1 Yes Case Identification Case Identification Index to Birth History Length of pregnancy at first antenatal visit 101 Weeks: 1 201 Months 1 998 Don't know Decision maker for going to antenatal care 1 Respondent 2 Spouse 3 Joint decision with spouse 4 Someone else 8 Don't know Reason took SP/Fansidar one or two times during pregnancy: facility too far 0 No 1 Yes Reason took SP/Fansidar one or two times during pregnancy: had no money 0 No 1 Yes Reason took SP/Fansidar one or two times during pregnancy: side effects 0 No 1 Yes Reason took SP/Fansidar one or two times during pregnancy: not aware had to take 0 No 1 Yes Reason took SP/Fansidar one or two times during pregnancy: did not want to take 0 No 1 Yes Reason took SP/Fansidar one or two times during pregnancy: not given 0 No 1 Yes Reason took SP/Fansidar one or two times during pregnancy: not available 0 No 1 Yes Reason took SP/Fansidar one or two times during pregnancy: other 0 No 1 Yes Reason took SP/Fansidar one or two times during pregnancy: don't know 0 No 1 Yes Fieldworker code Country code and phase Fieldworker region of residence 1 Coast 2 North Eastern 3 Eastern 4 Central 5 Rift Valley 6 Western 7 Nyanza 8 Nairobi 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 Post-primary 3 Secondary/'A' level 4 College (middle level) 5 University Highest grade/form/year at that level completed by fieldworker 0 Less than one year at level Fieldworker religion 1 Roman Catholic 2 Protestant/other Christian 3 Muslim 4 No religion 96 Other Languages spoken by fieldworker Embu Kalenjin Kamba Kikuyu Kisii Luhya Luo Maasi Meru Mijikenda/Swahili Somali Taita/Taveta Other language Fieldworker's mother tongue/native language 1 Embu 2 Kalenjin 3 Kamba 4 Kikuyu 5 Kisii 6 Luhya 7 Luo 8 Maasi 9 Meru 10 Mijikenda/Swahili 11 Somali 12 Taita/Taveta 96 Other Has fieldworker ever worked on a DHS 1 Yes 2 No Has fieldworker ever worked on a 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 MIS 1 Yes, DNMP 2 Yes, KNBS 3 No Is fieldworker a permanent or temporary employee of DNMP or KNBS 1 Permanent 2 Temporary