n Inquérito Nacional sobre Indicadores de Malária (IIM) 2018 DDI_MOZ_2018_MIS_v01_M Development Economics Data Group 2019-08-05 Nesstar Publisher Version 01 (August 2019). Metadata is excerpted from "Moçambique Inquérito Nacional sobre Indicadores de Malária (IIM) 2018" Report. Inquérito Nacional sobre Indicadores de Malária 2018 MIS / IIM 2018 MOZ_2018_MIS_v01_M Instituto Nacional de Saúde (INS) Programa Nacional de Controlo da Malária Instituto Nacional de Estatística ICF Nesstar Publisher Governo de Moçambique Iniciativa do Presidente dos Estados Unidos da América Contra a Malária Agência dos Estados Unidos para o Desenvolvimento Internacional Fundo das Nações Unidas para a Infância Information about The DHS Program General Inquiries Data and Data Related Resources Demographic and Health Survey, Special - Malaria Indicator Survey O Inquérito Nacional sobre Indicadores de Malária (IIM) é um inquérito com representatividade nacional e com uma amostra de aproximadamente 6.272 famílias. O inquérito fornece informações sobre os principais indicadores de prevenção ou controlo da malária, tais como a proporção de agregados familiares que têm pelo menos uma rede tratada com insecticida (RTI). Entre as crianças, o IIM estimou a proporção de crianças menores de 5 anos de idade que dormiram debaixo de uma rede mosquiteira na noite anterior ao inquérito e se a rede era uma RTI. Além disso, o inquérito avaliou a prevalência de malária entre crianças de 6-59 meses da idade. Entre as mulheres grávidas, o inquérito estimou a proporção de mulheres grávidas que dormiram debaixo de uma rede mosquiteira na noite anterior ao inquérito e que receberam tratamento The data dictionary was generated from hierarchical data that was downloaded from the DHS website (http://dhsprogram.com). O Inquérito sobre Indicadores de Malária (IIM 2018) é um inquérito de base populacional, com representatividade a nível nacional, urbano e rural concebido de acordo com as directrizes do grupo de trabalho RBM-MERG (Roll Back Malaria Monitoring and Evaluation Working Group). O objectivo principal do IIM 2018 é fornecer estimativas actualizadas de indicadores demográficos básicos e de saúde, relacionados com a malária. Especificamente, o IIM 2018 recolheu dados sobre redes mosquiteiras, tratamento intermitente e preventivo da malária em mulheres grávidas (TIP) e procura de cuidados e tratamento da febre nas crianças. As crianças de 6-59 meses de idade foram igualmente submetidas a testes de diagnóstico rápido da malária e testes de anemia. As mulheres entrevistadas foram avaliadas quanto ao seu conhecimentos sobre prevenção, diagnóstico e tratamento da malária. As informações produzidas através do IIM 2018 servirão de suporte aos decisores de políticas de saúde e gestores de programas, na avaliação e concepção de estratégias e intervenções para melhorar a saúde da população no país. Mozambique National coverage Sample survey data [ssd] Computer Assisted Personal Interview [capi] Os dados foram recolhidos com recurso a três tipos de questionários: o questionário para agregados familiares, o questionário para mulheres e o questionário de biomarcadores. Os questionários foram adaptados dos questionários padrão do RBM-MERG, de modo a reflectir as questões demográficas e de saúde relevantes para Moçambique. As modificações foram determinadas ao longo de uma série de reuniões técnicas com vários técnicos e parceiros governamentais e não-governamentais do INS e PNCM. Os questionários traduzidos para o português foram incorporados nos tablets através do programa CSpro, permitindo aos inquiridores o uso de sistema de entrevista assistida por computador, denominado CAPI. Além disso, todas as pessoas que implementaram no campo o IIM 2018 preencheram um questionário para inquiridores, composto por duas páginas. Entre os agregados familiares presentes, 6.196 foram entrevistados com sucesso, representando uma taxa de resposta de agregados familiares total de 99%. Nos agregados familiares entrevistados, 6.290 mulheres elegíveis foram identificadas como elegíveis para a entrevista individual e 6.184 mulheres foram entrevistadas com sucesso, dando uma taxa de resposta de 98,3%. The DHS Program The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. RECH0.NSDstat 6370 51 Nesstar 200801 RECH1.NSDstat 36672 11 Nesstar 200801 RECH2.NSDstat 6322 55 Nesstar 200801 RECH3.NSDstat 6370 10 Nesstar 200801 RECH6.NSDstat 6321 29 Nesstar 200801 RECHML.NSDstat 11030 20 Nesstar 200801 RECHMH.NSDstat 36672 41 Nesstar 200801 REC01.NSDstat 7674 39 Nesstar 200801 REC11.NSDstat 7628 43 Nesstar 200801 REC21.NSDstat 7163 23 Nesstar 200801 REC22.NSDstat 7628 23 Nesstar 200801 REC41.NSDstat 4521 27 Nesstar 200801 REC42.NSDstat 7628 9 Nesstar 200801 REC4A.NSDstat 6061 34 Nesstar 200801 REC44.NSDstat 6061 14 Nesstar 200801 REC81.NSDstat 7628 8 Nesstar 200801 RECML.NSDstat 6061 70 Nesstar 200801 REC91.NSDstat 7674 71 Nesstar 200801 FWRECORD.NSDstat Fieldworker data 48 34 Nesstar 200801 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 Keyer identification Ever-married sample 0 All woman sample 1 Ever married sample Primary sampling unit Sample strata for sampling errors 1 Boucle Du Mouhoun - urbain 2 Boucle Du Mouhoun - rural 3 Cascades - urbain 4 Cascades - rural 5 Centre - urbain 6 Centre - rural 7 8 Centre Est - rural 9 Centre Nord - urbain 10 Centre Nord - rural 11 Centre Ouest - urbain 12 Centre Ouest - rural 13 Centre Sud - urbain 14 Centre Sud - rural 15 Est - urbain 16 Est - rural 17 Hauts-Bassins - urbain 18 Hauts-Bassins - rural 19 Nord - urbain 20 Nord - rural 21 Plateau Central - urbain 22 Plateau Central - rural 23 Sahel - urbain 24 Sahel - rural 25 Sud Ouest - urbain 26 Sud Ouest - rural Stratification used in sample design 1 Boucle Du Mouhoun - urbain 2 Boucle Du Mouhoun - rural 3 Cascades - urbain 4 Cascades - rural 5 Centre - urbain 6 Centre - rural 7 8 Centre Est - rural 9 Centre Nord - urbain 10 Centre Nord - rural 11 Centre Ouest - urbain 12 Centre Ouest - rural 13 Centre Sud - urbain 14 Centre Sud - rural 15 Est - urbain 16 Est - rural 17 Hauts-Bassins - urbain 18 Hauts-Bassins - rural 19 Nord - urbain 20 Nord - rural 21 Plateau Central - urbain 22 Plateau Central - rural 23 Sahel - urbain 24 Sahel - rural 25 Sud Ouest - urbain 26 Sud Ouest - rural Region 1 Boucle Du Mouhoun 2 Cascades 3 Centre 4 Centre Est 5 Centre Nord 6 Centre Ouest 7 Centre Sud 8 Est 9 Hauts-Bassins 10 Nord 11 Plateau Central 12 Sahel 13 Sud Ouest Type of place of residence 1 Urban 2 Rural Place of residence 0 Ougadougou 1 Other cities 2 Town 3 Rural Household selected for male interview 0 Not selected 1 Men's survey 2 Husband's survey Household weight for male subsample (6 decimals) Field supervisor NA - Field editor Office editor Number of eligible children for anemia and malaria NA - Cluster altitude in meters NA - Total adults measured Household selected for hemoglobin 0 Not selected 1 Selected Language of questionnaire 1 French Language of interview 1 French 2 Moore 3 Peulh/Fulfulde 4 Dioula 5 Gulmantchema 6 Bissa 7 Dagara 8 Other Native language of respondent 1 French 2 Moore 3 Peulh/Fulfulde 4 Dioula 5 Gulmantchema 6 Bissa 7 Dagara 8 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 child/child of wife / husband 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 Current marital status 0 Never married 1 Married 2 Living together 3 Widowed 4 Divorced 5 Not living together Currently, formerly, never married 0 Never married 1 Currently married 2 Formerly/ever married 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/Freezer 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 / Polished wood 32 Vynil or asphalt strips 33 Ceramic tiles 34 Cement 35 Carpet 96 Other Main wall material 10 NATURAL 11 No walls 12 Cane/palm/leaf 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 Sheet Metal 32 Wood 33 Zinc/Cement fiber 34 Tiles/slate 35 Cement 36 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 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 Owns cattle 0 None 95 95 or more 98 Unknown Owns cows/ bulls 0 None 95 95 or more 98 Unknown Owns horses/ donkeys/ mules 0 None 95 95 or more 98 Unknown Owns goats 0 None 95 95 or more 98 Unknown Owns sheep 0 None 95 95 or more 98 Unknown Owns chickens/poultry 0 None 95 95 or more 98 Unknown Owns porks 0 None 95 95 or more 98 Unknown NA - Owns CS 0 None 95 95 or more 98 Unknown NA - Owns CS 0 None 95 95 or more 98 Unknown NA - Owns CS 0 None 95 95 or more 98 Unknown NA - Owns CS 0 None 95 95 or more 98 Unknown Has bank account 0 No 1 Yes 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 Concession Province 1 Bam 2 Bazega 3 Bougouriba 4 Boulgou 5 Boulkiemde 6 Comoe 7 Ganzourgou 8 Gnagna 9 Gourma 10 Houet 11 Kadiogo 12 Kenedougou 13 Kossi 14 Kouritenga 15 Mouhoun 16 Nahouri 17 Namentenga 18 Oubritenga 19 Oudalan 20 Passore 21 Poni 22 Sanguie 23 Sanmatenga 24 Seno 25 Sissili 26 Soum 27 Sourou 28 Tapoa 29 Yatenga 30 Zoundweogo 31 Bale 32 Banwa 33 Ioba 34 Komandjoari 35 Kompienga 36 Koulpelogo 37 Kourweogo 38 Leraba 39 Loroum 40 Nayala 41 Noumbiel 42 Tuy 43 Yagha 44 Ziro 45 Zondoma Place of residence 1 Ougadougou 2 Other towns 3 Total urban 4 Rural Has table/ chair 0 No 1 Yes Has closet/cabinet to keep books 0 No 1 Yes Has stove/cooker 0 No 1 Yes Has hunting gun 0 No 1 Yes Has plow 0 No 1 Yes Has canoe 0 No 1 Yes 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) 5911 410 0 No education 4538 1 Primary 772 2 Secondary + 579 8 Don't know 0 9 22 Sysmiss 410 Case Identification Mosquito Bed Net Designation Number Net observed by interviewer 0 Not seen 1 Yes, seen Months ago net obtained 96 More than 3 years ago 98 Don't know NA - Net treated with insecticide when bought 0 No 1 Yes 8 Don't know Net treatment status 0 Not pretreated 1 Pretreated, permanent treatment 2 Pretreated, requiring future treatment 3 Not pretreated, came with kit and treated at home 4 Pretreated, treatment type not known 6 Other 8 Don't know Brand of net 10 Long-lasting insecticide treated nets (LLIN) 11 Olyset 12 Permanet 13 Interceptor 14 Serena 15 Duranete 19 Other/Don't know brand 96 Other brand 98 DK brand Net treated since receiving 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 Government health facility 11 Government health facility 20 Private health facility 21 Private health facility 30 Other sources 31 Pharmacy 32 Shop/market 33 CHW 34 Religious institution 35 School 96 Other 98 Don't know Obtained net from campaign, antenatal or immunization visit 0 No 1 Yes, campaign 2010 2 Yes, campaign 2013 3 Yes, campaign 2016 4 Yes, campaign but year unknown 5 Yes, antenatal care 6 Yes, immunization visit 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) 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 NA - Presence of species: falciparum (Pf) 0 No 1 Yes NA - Presence of species: malariae (Pm) 0 No 1 Yes NA - Presence of species: ovale (Po) 0 No 1 Yes NA - Presence of species: vivax (Pv) 0 No 1 Yes NA - Presence of species: CS 0 No 1 Yes NA - Presence of species: CS 0 No 1 Yes NA - Presence of species: CS 0 No 1 Yes Result of malaria measurement 0 Measured 3 Not present 4 Refused 6 Other Bar code for blood smear sample Result of malaria rapid test 0 Negative 1 Positive 6 Other Fieldworker measurer code for malaria Result of malaria RDT 1 Positive falciparum 2 Positive, species (OMV/PAN) 3 Positive FP/(OMV/PAN) 4 Negative 6 Other 9 Missing Anemia level for children without malaria 1 Below 8.0 G/DL severe anemia 2 8.0 G/DL or above 3 Not present 4 Refused 6 Other Child suffering any illnesses or symptoms: Extreme weakness 0 No 1 Yes Child suffering any illnesses or symptoms: heart problems 0 No 1 Yes Child suffering any illnesses or symptoms: Loss of conciousness 0 No 1 Yes Child suffering any illnesses or symptoms: Severe respiratory faillure 0 No 1 Yes Child suffering any illnesses or symptoms: Convulsions 0 No 1 Yes Child suffering any illnesses or symptoms: Abnormal bleeding 0 No 1 Yes Child suffering any illnesses or symptoms: Jaundice 0 No 1 Yes Child suffering any illnesses or symptoms: Black urine / brown 0 No 1 Yes Anemia level for children with malaria 1 Below 8.0 G/DL severe anemia 2 8.0 G/DL or above 3 Not present 4 Refused 6 Other Taking ACT given by a doctor/health center to treat the malaria 0 No 1 Yes Accepted medicine for malaria treatment 1 Accepted medicine 2 Refused 6 Other Accepted medicine for malaria 1 Accepted medicine 2 Refused 6 Other Anemia level for children with malaria and symptoms 1 Below 8.0 G/DL severe anemia 2 8.0 G/DL or above 3 Not present 4 Refused 6 Other 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 Boucle Du Mouhoun - urbain 2 Boucle Du Mouhoun - rural 3 Cascades - urbain 4 Cascades - rural 5 Centre - urbain 6 Centre - rural 7 8 Centre Est - rural 9 Centre Nord - urbain 10 Centre Nord - rural 11 Centre Ouest - urbain 12 Centre Ouest - rural 13 Centre Sud - urbain 14 Centre Sud - rural 15 Est - urbain 16 Est - rural 17 Hauts-Bassins - urbain 18 Hauts-Bassins - rural 19 Nord - urbain 20 Nord - rural 21 Plateau Central - urbain 22 Plateau Central - rural 23 Sahel - urbain 24 Sahel - rural 25 Sud Ouest - urbain 26 Sud Ouest - rural Stratification used in sample design 1 Boucle Du Mouhoun - urbain 2 Boucle Du Mouhoun - rural 3 Cascades - urbain 4 Cascades - rural 5 Centre - urbain 6 Centre - rural 7 8 Centre Est - rural 9 Centre Nord - urbain 10 Centre Nord - rural 11 Centre Ouest - urbain 12 Centre Ouest - rural 13 Centre Sud - urbain 14 Centre Sud - rural 15 Est - urbain 16 Est - rural 17 Hauts-Bassins - urbain 18 Hauts-Bassins - rural 19 Nord - urbain 20 Nord - rural 21 Plateau Central - urbain 22 Plateau Central - rural 23 Sahel - urbain 24 Sahel - rural 25 Sud Ouest - urbain 26 Sud Ouest - rural Region 1 Boucle Du Mouhoun 2 Cascades 3 Centre 4 Centre Est 5 Centre Nord 6 Centre Ouest 7 Centre Sud 8 Est 9 Hauts-Bassins 10 Nord 11 Plateau Central 12 Sahel 13 Sud Ouest Type of place of residence 1 Urban 2 Rural De facto place of residence 0 Ougadougou 1 Other cities 2 Town 3 Rural Number of visits Interviewer identification Keyer identification Field supervisor NA - Field editor Office editor NA - Line number of husband 0 Husband not in household NA - Cluster altitude in meters Household selected for hemoglobin 0 Not selected 1 Selected Language of questionnaire 1 French Language of interview 1 French 2 Moore 3 Peulh/Fulfulde 4 Dioula 5 Gulmantchema 6 Bissa 7 Dagara 8 Other Native language of respondent 1 French 2 Moore 3 Peulh/Fulfulde 4 Dioula 5 Gulmantchema 6 Bissa 7 Dagara 8 Other Translator used 0 No 1 Yes Case Identification Case Identification Region 1 Boucle Du Mouhoun 2 Cascades 3 Centre 4 Centre Est 5 Centre Nord 6 Centre Ouest 7 Centre Sud 8 Est 9 Hauts-Bassins 10 Nord 11 Plateau Central 12 Sahel 13 Sud Ouest 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 WATER 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irrigation channel 51 Rainwater 61 Tanker truck 62 Cart with small tank 71 Bottled water 96 Other 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 / Polished wood 32 Vynil 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/leaf 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 Sheet Metal 32 Wood 33 Zinc/Cement fiber 34 Tiles/slate 35 Cement 36 Shingles 96 Other 97 Not a dejure resident Religion 1 Muslim 2 Catholic 3 Protestant 4 Traditional/Animist 5 Without religion/None 96 Other Ethnicity 1 Bobo 2 Dioula 3 Fulfulde/Peulh 4 Gourmantche 5 Gourounsi 6 Lobi 7 Mossi 8 Senoufo 9 Touareg/Bella 10 Dagara 11 Bissa 12 ECOWAS Countries 13 Other African countries 14 Other nationalities 96 Other ethnic 98 Don't know Education in single years 97 Inconsistent De facto place of residence 0 Ougadougou 1 Other cities 2 Town 3 Rural 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 Boucle Du Mouhoun 2 Cascades 3 Centre 4 Centre Est 5 Centre Nord 6 Centre Ouest 7 Centre Sud 8 Est 9 Hauts-Bassins 10 Nord 11 Plateau Central 12 Sahel 13 Sud Ouest 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 Ougadougou 1 Other cities 2 Town 3 Rural 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 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 < breastfeeding 3 < age supplemented 4 < first breastfed 5 < last vaccination 6 Outside range 7 Imputed, units given 8 Imputed, no units Live birth between births 0 No 1 Yes Child's line number in household 0 Not listed in household 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 0 No 1 Yes Prenatal: midwife/maïeuticienne 0 No 1 Yes Prenatal: patented birth attendant / auxiliary birth attendant 0 No 1 Yes Prenatal: skilled birth attendant 0 No 1 Yes NA - Prenatal: CS health professional 0 No 1 Yes Prenatal: traditional /village 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 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 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: government hospital 0 No 1 Yes Fever: government health center/ medical center with antenna (GHC/MC) 0 No 1 Yes Fever: center of health and social promotion (CHSP)/DISP/Maternity 0 No 1 Yes Fever: community health worker 0 No 1 Yes Fever: other public sector 0 No 1 Yes NA - Fever: CS public sector 0 No 1 Yes NA - Fever: 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: private hospital/ clinic/poly clinic 0 No 1 Yes Fever: private pharmacy 0 No 1 Yes Fever: private doctor 0 No 1 Yes Fever: mobile clinic 0 No 1 Yes Fever: private community health worker 0 No 1 Yes Fever: other 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 NA - Fever/cough: CS private medical 0 No 1 Yes Fever: store 0 No 1 Yes Fever: traditional healer 0 No 1 Yes Fever: market 0 No 1 Yes Fever: itinerant medecine seller 0 No 1 Yes NA - Fever/cough: CS other sector 0 No 1 Yes Fever: other 0 No 1 Yes Fever: no treatment 0 No: received treatment 1 Yes: no treatment Fever: medical treatment 0 No 1 Yes Place first sought treatment for fever 10 PUBLIC SECTOR 11 Government hospital 12 Government health center/medical center with antenna 13 Public Center of health and social promotion (CHSP)/DISP/Maternity 14 Public Community health worker 15 Other public sector 16 CS public 20 PRIVATE SECTOR 21 Private hospital, clinic, poly clinic 22 Pharmacy 23 Private doctor, medical care office 24 Private mobile clinic 25 Private community health worker 26 Other private medical sector 30 OTHER 31 Store 32 Traditional healer 33 Market 34 Itinerant medecine 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 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 Case Identification Case Identification Time interview started (hhmm - 24 hour clock) Time interview ended (hhmm - 24 hour clock) Length of interview in minutes 95 95+ 96 2+ visits 97 Inconsistent Number of visits Interviewer identification Keyer identification 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 3 Community health worker 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 Artemether injection taken for fever 0 No 1 Yes SP/Fansidar and amodiaquine (combined) 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 NA - Aspirin taken for fever 0 No 1 Yes NA - Acetaminophen/paracetamol/panadol taken for fever 0 No 1 Yes Ibuprofen taken for fever 0 No 1 Yes Paracetamol/Aspirine taken for fever 0 No 1 Yes Acetaminophen 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 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 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 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 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 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 Timing of start of artemether (injection) 0 Same day as fever/cough 1 Next day 2 2 days after 3 3+ 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 SP/Fansidar and amodiaquine (combined) 0 Same day as fever/cough 1 Next day 2 2 days after 3 3+ 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 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 8 Don't know Number of times took SP/Fansidar in presence of health worker 98 Don't know Case Identification Case Identification Concession number Province 1 Bam 2 Bazega 3 Bougouriba 4 Boulgou 5 Boulkiemde 6 Comoe 7 Ganzourgou 8 Gnagna 9 Gourma 10 Houet 11 Kadiogo 12 Kenedougou 13 Kossi 14 Kouritenga 15 Mouhoun 16 Nahouri 17 Namentenga 18 Oubritenga 19 Oudalan 20 Passore 21 Poni 22 Sanguie 23 Sanmatenga 24 Seno 25 Sissili 26 Soum 27 Sourou 28 Tapoa 29 Yatenga 30 Zoundweogo 31 Bale 32 Banwa 33 Ioba 34 Komandjoari 35 Kompienga 36 Koulpelogo 37 Kourweogo 38 Leraba 39 Loroum 40 Nayala 41 Noumbiel 42 Tuy 43 Yagha 44 Ziro 45 Zondoma Ever attended school 0 No 1 Yes Highest educational level 1 Primary 2 Post-primary 3 Secondary 4 Higher Highest year of educational 0 < 1 année complétée Have you received any malaria messages during the last 6 months 0 No 1 Yes Has heard ou received messages from : Radio 0 No 1 Yes Has heard ou received messages from : Television 0 No 1 Yes Has heard ou received messages from : Poster / flyer / box images 0 No 1 Yes Has heard ou received messages from : Community health worker 0 No 1 Yes Has heard ou received messages from : Community event/Criel 0 No 1 Yes Has heard ou received messages from : Health centers 0 No 1 Yes Has heard ou received messages from : Animators 0 No 1 Yes Has heard ou received messages from : Elsewhere 0 No 1 Yes Main cause of malaria : Mosquito bite 0 No 1 Yes Main cause of malaria : Excessive oil consumption 0 No 1 Yes Main cause of malaria : Fatigue due to work 0 No 1 Yes Main cause of malaria : Sleep insufficiency 0 No 1 Yes Main cause of malaria : direct sun exposure 0 No 1 Yes Main cause of malaria : consumption of mangos / sweet fruits 0 No 1 Yes Main cause of malaria : Consumption of milk 0 No 1 Yes Main cause of malaria : Dirty 0 No 1 Yes Main cause of malaria : Other 0 No 1 Yes Main cause of malaria : Don't know 0 No 1 Yes Malaria symptoms : Fever 0 No 1 Yes Malaria symptoms : lack of appetite and vomiting 0 No 1 Yes Malaria symptoms : High temperature with convulsions 0 No 1 Yes Malaria symptoms : High temperature with fainting 0 No 1 Yes Malaria symptoms : Persistent temperature 0 No 1 Yes Malaria symptoms : Convulsions 0 No 1 Yes Malaria symptoms : Jaundice 0 No 1 Yes Malaria symptoms : Headache 0 No 1 Yes Malaria symptoms : Other 0 No 1 Yes Malaria symptoms : Don't know 0 No 1 Yes Effective ways to prevent malaria : sleep under mosquito net not treated 0 No 1 Yes 0 No 1 Yes Effective ways to prevent malaria : take preventive medecines 0 No 1 Yes Effective ways to prevent malaria : use insecticide/diffusers/crems/lotions/repu 0 No 1 Yes Effective ways to prevent malaria : use a mosquito coil 0 No 1 Yes Effective ways to prevent malaria : decoction / plant juice / root to drink as a 0 No 1 Yes Effective ways to prevent malaria : cleaning the surroundings 0 No 1 Yes Effective ways to prevent malaria : indoor sprinkling 0 No 1 Yes Effective ways to prevent malaria : window screens 0 No 1 Yes Effective ways to prevent malaria : use a fumigant coil 0 No 1 Yes Effective ways to prevent malaria : use electric pads 0 No 1 Yes Effective ways to prevent malaria : air conditioners / fans 0 No 1 Yes Effective ways to prevent malaria : powder / application 0 No 1 Yes Effective ways to prevent malaria : cover the body 0 No 1 Yes Effective ways to prevent malaria : other 0 No 1 Yes Effective ways to prevent malaria : other 0 No 1 Yes Effective ways to prevent malaria : don't know 0 No 1 Yes Effective ways to treat malaria : Antimalarials - therapeutic combination based 0 No 1 Yes Effective ways to treat malaria : Antimalarials - SP/Fansidar 0 No 1 Yes Effective ways to treat malaria : Antimalarials - chloroquine 0 No 1 Yes Effective ways to treat malaria : Antimalarials - amodiaquine 0 No 1 Yes Effective ways to treat malaria : Antimalarials - quinine tablets 0 No 1 Yes Effective ways to treat malaria : Antimalarials - quinine injection/IV/IM 0 No 1 Yes Effective ways to treat malaria : Antimalarials - artesunate rectal way 0 No 1 Yes Effective ways to treat malaria : Antimalarials - artesunate injection/IV/IM 0 No 1 Yes Effective ways to treat malaria : Antimalarials - artemether (injection) 0 No 1 Yes Effective ways to treat malaria : Antimalarials - SP/Fansidar et amodiaquine (co 0 No 1 Yes Effective ways to treat malaria : Antimalarials - other 0 No 1 Yes Effective ways to treat malaria : Antibiotics - tablets/syrup 0 No 1 Yes Effective ways to treat malaria : Antibiotics - injection/IV 0 No 1 Yes Effective ways to treat malaria : Other drugs - paracetamol/aspirin 0 No 1 Yes Effective ways to treat malaria : Other drugs - acetaminophen 0 No 1 Yes Effective ways to treat malaria : Other drugs - ibuprofen 0 No 1 Yes Effective ways to treat malaria : Other 0 No 1 Yes Effective ways to treat malaria : Other drugs - don't know 0 No 1 Yes Fieldworker code Country code and phase Fieldworker region of residence 1 Centre 2 Boucle du Mouhoun 3 Cascades 4 Centre-est 5 Centre-nord 6 Centre-ouest 7 Centre-sud 8 Est 9 Hauts bassins 10 Nord 11 Plateau central 12 Sahel 13 Sud-ouest 95 Outside Burkina Faso 96 Other 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 Secondary 3 Higher Highest grade/form/year at that level completed by fieldworker 0 Less than one year at level Fieldworker religion 1 Muslim 2 Christian 3 Animist 5 No religion 6 Autre Fieldworker ethnicity 1 Bobo 2 Dioula 3 Fulfulde/peulh 4 Gourmantche 5 Gourounsi 6 Lobi 7 Mossi 8 Senoufo 9 Touareg/bella 10 Dagara 11 Bissa 95 Other countries (for strangers) 96 Other ethnic Languages spoken by fieldworker Bobo Dioula Fulfulde/peulh Gourmantche Gourounsi Lobi Mossi Senoufo Touareg/bella Dagara Bissa Language other countries (for foreigners) Language M Other language No other language Fieldworker's mother tongue/native language 1 Bobo 2 Dioula 3 Fulfulde/peulh 4 Gourmantche 5 Gourounsi 6 Lobi 7 Mossi 8 Senoufo 9 Touareg/bella 10 Dagara 11 Bissa 95 Other countries (for strangers) 96 Other Has fieldworker ever worked on a DHS 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, [INS] 2 Yes, [for another institution] 3 No Is fieldworker a permanent or temporary employee of agency 1 Permanent 2 Temporary