HTI_2016_DHS_v01_M DDI_TGO_2017_MIS_v01_M Development Economics Data Group Nesstar Publisher Version 01 (September 2018). Metadata is excerpted from "Togo Enquête sur les Indicateurs du Paludisme 2017" Report. Enquête sur les Indicateurs du Paludisme 2017 MIS / EIPT 2016-17 TGO_2017_MIS_v01_M Institut National de la Statistique et des Études Économiques et Démographiques (INSEED) Institut National d’Hygiène ICF Nesstar Publisher Le Fonds mondial de lutte contre le sida, la tuberculose et le paludisme Gouvernement de la République du Togo Information about The DHS Program General Inquiries Data and Data Related Resources Malaria Indicator Survey L’Enquête sur les Indicateurs de Paludisme au Togo en 2017 (EIPT- 2017) est la première enquête de cette sorte. Elle vise un échantillon national représentatif de 5130 ménages, avec un nombre attendu d’environ 4895 femmes âgées de 15 à 49 ans enquêtées avec succès. Toutes les femmes âgées de 15 à 49 ans qui sont des membres du ménage ou qui ont passé la nuit précédant le jour de l’enquête dans les ménages sélectionnés sont éligibles pour l’enquête. The data dictionary was generated from hierarchical data that was downloaded from the DHS website (http://dhsprogram.com). Togo National Sample survey data [ssd] Institut National de la Statistique et des Études Économiques et Démographiques Face-to-face [f2f] Trois questionnaires ont été utilisés dans le cadre de l’EIPT-2017 ; le Questionnaire Ménage, le Questionnaire Femme et le Questionnaire Biomarqueur. Les questionnaires standard disponibles à partir du RBM-MERG ont été adaptés aux problèmes de santé et de population du Togo. CSPro (Census and Survey Processing) a été utilisé pour l’édition, le nettoyage la pondération et l’analyse des données. La cohérence des données a été vérifiée par l’équipe des informaticiens qui faisaient des retours aux équipes de terrain pour améliorer la qualité des données. The DHS Program L'utilisateur des données reconnait que le producteur des données, le distributeur agréé, ainsi que les bailleurs de fonds ayant contribué au financement de la production de ces données, ne sont nullement responsables de l'utilisation qui sera faite de ces données, ni des interprétations et conclusions dérivées de leur analyse et utilisation. RECH0.NSDstat 5132 52 Nesstar 200801 RECH1.NSDstat 22944 11 Nesstar 200801 RECH2.NSDstat 4909 55 Nesstar 200801 RECH3.NSDstat 4909 14 Nesstar 200801 RECH4.NSDstat 22944 5 Nesstar 200801 RECH5.NSDstat 4867 20 Nesstar 200801 RECH6.NSDstat 3669 29 Nesstar 200801 RECHML.NSDstat 16147 20 Nesstar 200801 RECHMH.NSDstat 22944 41 Nesstar 200801 REC01.NSDstat 4752 40 Nesstar 200801 REC11.NSDstat 4674 48 Nesstar 200801 REC21.NSDstat 3998 23 Nesstar 200801 REC22.NSDstat 4674 22 Nesstar 200801 REC41.NSDstat 2490 27 Nesstar 200801 REC42.NSDstat 4674 24 Nesstar 200801 REC4A.NSDstat 3415 54 Nesstar 200801 REC44.NSDstat 3415 15 Nesstar 200801 REC81.NSDstat 4674 8 Nesstar 200801 RECML.NSDstat 3415 69 Nesstar 200801 REC91.NSDstat 4674 49 Nesstar 200801 REC95.NSDstat 3415 11 Nesstar 200801 FWRECORD.NSDstat Fieldworker data 50 31 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 NA - Keyer identification Ever-married sample 0 All woman sample 1 Ever married sample Primary sampling unit Sample strata for sampling errors 1 Agglomération de Lomé 2 Maritime-urban 3 Maritime-rural 4 Plateaux-urban 5 Plateaux-rural 6 Centrale-urban 7 Centrale-rural 8 Kara-urban 9 Kara-rural 10 Savanes-urban 11 Savanes-rural Stratification used in sample design 1 Agglomération de Lomé 2 Maritime-urban 3 Maritime-rural 4 Plateaux-urban 5 Plateaux-rural 6 Centrale-urban 7 Centrale-rural 8 Kara-urban 9 Kara-rural 10 Savanes-urban 11 Savanes-rural Region 1 Agglomération de Lomé 2 Maritime 3 Plateaux 4 Centrale 5 Kara 6 Savanes 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 French Language of interview 1 French 2 Ewe/Mina 3 Kabye 4 Kotokoli/Tem 5 Akposso/Akebou 6 Ife/Ana 7 Moba-gourma 8 Tchokossi 9 Bassar/Konkomba 96 Other 97 Other foreign Native language of respondent 1 French 2 Ewe/Mina 3 Kabye 4 Kotokoli/Tem 5 Akposso/Akebou 6 Ife/Ana 7 Moba-gourma 8 Tchokossi 9 Bassar/Konkomba 96 Other 97 Other foreign 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) Structure number Case Identification Line number Relationship to head 1 Head 2 Wife or husband 3 Son/daughter 4 Son/daughter-in-law 5 Grandchild 6 Parent 7 Parent-in-law 8 Brother/sister 9 Co-spouse 10 Other relative 11 Adopted/foster child 12 Not related 13 Niece/nephew by blood 14 Niece/nephew by marriage 98 Don't know Usual resident 0 No 1 Yes Slept last night 0 No 1 Yes Sex of household member 1 Male 2 Female Age of household members 95 95+ 98 Don't know Current marital status 0 Never married 1 Married 2 Living together 3 Widowed 4 Divorced/Separated 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 72 Water in sachet 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 72 Water in sachet 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 Palms/Bamboo 30 FINISHED 31 Parquet or polished wood 32 Vinyl or asphalt strips 33 Tile 34 Cement 35 Carpet 96 Other Main wall material 10 NATURAL 11 No wall 12 Bamboo / cane / palm / trunk 13 Mud 20 RUDIMENTARY 21 Bamboo with mud 22 Stone with mud 23 Adobe not covered 24 Plywood 25 Cardboard 26 Recovered wood 30 FINISHED 31 Cement 32 Stone with lime/wood 33 Bricks 34 Cement blocks 35 Adobe overlay 36 Wooden board/shingles 96 Other Main roof material 10 NATURAL 11 No roof 12 Thatch/palm/leaf 13 Mud 20 RUDIMENTARY 21 Mat 22 Palm/bamboo 23 Plywood 24 Cardboard 30 FINISHED 31 Sheet metal 32 Wood 33 Zinc/cement fiber 34 Roof tiles 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 12 Sawdust 95 No food cooked in house 96 Other Has mosquito bed net for sleeping 0 No 1 Yes Children under 5 slept under mosquito bed net last night 0 No 1 All children 2 Some children 3 No net in household Location of source for water 1 In own dwelling 2 In own yard/plot 3 Elsewhere Number of households sharing toilet 95 10 or more households 98 Don't know Has mobile telephone 0 No 1 Yes Has watch 0 No 1 Yes Has animal-drawn cart 0 No 1 Yes Has boat with a motor 0 No 1 Yes Has a computer 0 No 1 Yes Owns land usable for agriculture 0 No 1 Yes Hectares of agricultural land (1 decimal) 950 95 or more 998 Unknown Owns livestock, herds or farm animals 0 No 1 Yes NA - Owns cattle 0 None 95 95 or more 98 Unknown 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 pigs 0 None 95 95 or more 98 Unknown Owns guinea fowl 0 None 95 95 or more 98 Unknown Owns ducks 0 None 95 95 or more 98 Unknown Owns turkeys 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 Number of beds in household CD/DVD player 0 No 1 Yes Internet connection 0 No 1 Yes Satellite dish 0 No 1 Yes Washing machine 0 No 1 Yes Air conditioner 0 No 1 Yes Stove/ Gas stove 0 No 1 Yes Fan 0 No 1 Yes Household enumerated for campaign 0 No 1 Yes 8 Don't know 9 Missing Reasons why household was not enumerated 1 Enumerators did not come 2 No one at home 3 Refused 4 Moved in after the campaign 5 Enumerators refused 6 Other 8 Don't know Coupon received for a free mosquito net during the distribution campaign 0 No 1 Yes 8 Don't know 9 Missing Reasons household did not receive coupon 1 No more coupons 2 Household had enough mosquito nets 6 Other 8 Don't know Number of mosquito nets received during the 2017 August Campaign Case Identification Index to Household Schedule Day of birth of household members 98 Don't know Month of birth of household members 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 Don't know Year of birth of household members 9998 Don't know Case Identification Index to Household Schedule Woman's age in years Date of birth (CMC) Completeness of HA32 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 NA - Smoking (cigarettes in last 24 hours) 0 Doesn't smoke 80 80+ 94 Smokes pipes, cigars, etc Under age 18 1 Under age 18 2 Age 18 or older Line number of parent/caretaker 0 Not in household Read consent statement - hemoglobin 1 Granted 2 Parent/other responsible refused 3 Respondent refused 4 Adult/parent not present 5 Minor not present Hemoglobin level (g/dl - 1 decimal) 994 Not present 995 Refused 996 Other Currently pregnant 0 No/don't know 1 Yes Result of measurement - hemoglobin 0 Measured 3 Not present 4 Refused 6 Other Hemoglobin level adjusted for altitude and smoking (g/dl - 1 decimal) 994 Not present 995 Refused 996 Other Anemia level 1 Severe 2 Moderate 3 Mild 4 Not anemic NA - Agrees to referral - anemia 0 No 1 Yes Marital status 1 Never in union 2 Other Result of woman's individual interview 1 Completed 2 Not at home 3 Postponed 4 Refused 5 Partly completed 6 Incapacitated 7 Other Woman's highest educational level 0 No education 1 Primary 2 Secondary 3 Higher 8 Don't know Woman's highest year of education 0 Less than a year 1 1st year 2 2nd year 3 3rd year 4 4th year 5 5th year 6 6th year 7 7th year 98 Don't know Woman's highest educational level (for preliminary and final report) 0 No education 1 Primary 2 Secondary 1st cycle 3 Secondary 2nd cycle 4 Higher 8 Don't know Case Identification Index to Household Schedule Child's age in months Child's age in days Day of birth 97 Inconsistent 98 Don't know Date measured (day) Date measured (month) Date measured (year) Century Day Code (CDC) of measurement Fieldworker measurer code Sex 1 Male 2 Female Month of birth 97 Inconsistent 98 Don't know Year of birth 9997 Inconsistent 9998 Don't know Date of birth (CMC) Century Day Code (CDC) of birth Completeness of HC32 information 0 Month, year and day 1 Month and year - information complete 2 Month and age - year imputed 3 Year and age - month imputed 5 Year - age/month imputed 6 Age - year/month imputed 7 Month - age/year imputed 8 None - all imputed Line number of parent/caretaker 0 Not in household Read consent statement - hemoglobin 1 Granted 2 Refused 3 Not present/other Hemoglobin level (g/dl - 1 decimal) 994 Not present 995 Refused 996 Other Result of measurement - hemoglobin 0 Measured 3 Not present/other 4 Refused 6 Other Hemoglobin level adjusted for altitude (g/dl - 1 decimal) 997 Inconsistent Anemia level 1 Severe 2 Moderate 3 Mild 4 Not anemic NA - Agrees to referral - anemia 0 No 1 Yes Mother's line number (woman's questionnaire) 993 Mother not de facto 994 Incomplete woman's interview 995 Not in household Mother's highest educational level 0 No education 1 Primary 2 Secondary 3 Higher 8 Don't know Mother's highest year of education 0 Less than a year 1 1st year 2 2nd year 3 3rd year 4 4th year 5 5th year 6 6th year 7 7th year 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 Secondary 1st cycle 3 Secondary 2nd cycle 4 Higher 8 Don't know Case Identification Mosquito Bed Net Designation Number Net observed by interviewer 0 Not seen 1 Yes, seen 2 Yes, seen Not hanged 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 Permanet/Séréna 12 Oliset 13 Duranet 14 Best Net/ Net Protect 15 Icon Life 16 Interseptor 17 Yorkoor 19 Other LLIN 20 Pretreated net 96 Other brand 98 Don't know brand NA - 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 (don't know) Line number of person who slept in this net 0 No one Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net NA - Line number of person who slept in this net 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 20 Private health facility 30 Other sources 31 Pharmacy 32 Shop/market 33 Community health worker 34 Religious institution 35 School 36 Distribution campaign 37 Other relative 96 Other 98 Don't know Shown Net 0 Not observed 1 Observed and hung 2 Observed and not hung 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 NA - 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 NA - Fieldworker measurer code for malaria Result of RDT test 0 Negative 1 Positive Falciparum 2 Positive other species (OMV) 3 6 Other Hemoglobin level 1 Below 7.0 g / dl Severe Anemia 2 7.0 g/dl or more 3 Absent 4 Refused 6 Other Prostration 0 No 1 Yes Cardiac Problems 0 No 1 Yes Lost of consciousness 0 No 1 Yes Severe respiratory failure 0 No 1 Yes Convulsions 0 No 1 Yes Bleeding 0 No 1 Yes Jaundice 0 No 1 Yes Brown/black urine 0 No 1 Yes Hemoglobin level (with malaria) 1 Below 8.0 g / dl Anemia Severe 2 8.0 g/dl or more 3 Absent 4 Refused 6 Other Seen doctor for malaria treatment 0 No 1 Yes Medication accepted 1 Medication accepted 2 Refused 6 Other Verified medication accepted 1 Medication accepted 2 Refused 6 Other Verify Hemoglobin level 1 Below 8.0 g / dl Anemia Severe 2 8.0 g/dl or more 3 Absent 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 Ever-married sample 0 All woman sample 1 Ever married sample Primary sampling unit Sample strata for sampling errors 1 Agglomération de Lomé 2 Maritime-urban 3 Maritime-rural 4 Plateaux-urban 5 Plateaux-rural 6 Centrale-urban 7 Centrale-rural 8 Kara-urban 9 Kara-rural 10 Savanes-urban 11 Savanes-rural Stratification used in sample design 1 Agglomération de Lomé 2 Maritime-urban 3 Maritime-rural 4 Plateaux-urban 5 Plateaux-rural 6 Centrale-urban 7 Centrale-rural 8 Kara-urban 9 Kara-rural 10 Savanes-urban 11 Savanes-rural Region 1 Agglomération de Lomé 2 Maritime 3 Plateaux 4 Centrale 5 Kara 6 Savanes 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 French Language of interview 1 French 2 Ewe/Mina 3 Kabye 4 Kotokoli/Tem 5 Akposso/Akebou 6 Ife/Ana 7 Moba-gourma 8 Tchokossi 9 Bassar/Konkomba 96 Other 97 Other foreign Native language of respondent 1 French 2 Ewe/Mina 3 Kabye 4 Kotokoli/Tem 5 Akposso/Akebou 6 Ife/Ana 7 Moba-gourma 8 Tchokossi 9 Bassar/Konkomba 96 Other 97 Other foreign Translator used 0 No 1 Yes Case Identification Case Identification Region 1 Agglomération de Lomé 2 Maritime 3 Plateaux 4 Centrale 5 Kara 6 Savanes 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 72 Water in sachet 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 Palms/Bamboo 30 FINISHED 31 Parquet or polished wood 32 Vinyl or asphalt strips 33 Tile 34 Cement 35 Carpet 96 Other 97 Not a dejure resident Main wall material 10 NATURAL 11 No wall 12 Bamboo / cane / palm / trunk 13 Mud 20 RUDIMENTARY 21 Bamboo with mud 22 Stone with mud 23 Adobe not covered 24 Plywood 25 Cardboard 26 Recovered wood 30 FINISHED 31 Cement 32 Stone with lime/wood 33 Bricks 34 Cement blocks 35 Adobe overlay 36 Wooden board/shingles 96 Other 97 Not a dejure resident Main roof material 10 NATURAL 11 No roof 12 Thatch/palm/leaf 13 Mud 20 RUDIMENTARY 21 Mat 22 Palm/bamboo 23 Plywood 24 Cardboard 30 FINISHED 31 Sheet metal 32 Wood 33 Zinc/cement fiber 34 Roof tiles 35 Cement 36 Shingles 96 Other 97 Not a dejure resident Religion 1 Traditionalist / Animist 2 Muslim 3 Catholic 4 Evangelical Presbyterian 5 Methodist 6 Assembly of God 7 Baptist 8 Pentecostal 9 Jehovah's Witness 10 Adventist 11 Other Christian 12 No religion 96 Other Ethnicity 1 Adja-Ewe/Mina 2 Kabye/Tem 3 Akposso/Akebou 4 Ana-Ife 5 Para-Gourma/Akan 95 Other Togolese 96 Stranger Education in single years 97 Inconsistent NA - De facto place of residence 0 Capital, large city 1 Small city 2 Town 3 Countryside Usual resident or visitor 1 Usual resident 2 Visitor Number of household members (listed) Number of children 5 and under in household (de jure) Number of eligible women in household (de facto) De jure region of residence 0 Abroad 1 Agglomération de Lomé 2 Maritime 3 Plateaux 4 Centrale 5 Kara 6 Savanes 97 Not dejure resident De jure type of place of residence 0 Abroad 1 Urban 2 Rural 7 Not a dejure resident NA - De jure place of residence 0 Capital, large city 1 City 2 Town 3 Countryside 4 Abroad 7 Not a dejure resident Educational attainment 0 No education 1 Incomplete primary 2 Complete primary 3 Incomplete secondary 4 Complete secondary 5 Higher Relationship to household head 1 Head 2 Wife 3 Daughter 4 Daughter-in-law 5 Granddaughter 6 Mother 7 Mother-in-law 8 Sister 9 Co-spouse 10 Other relative 11 Adopted/foster child 12 Not related 98 Don't know Sex of household head 1 Male 2 Female Age of household head 97 97+ 98 Don't know Household has: telephone (land-line) 0 No 1 Yes 7 Not a dejure resident All woman factor - total All woman factor - urban/rural All woman factor - regional All woman factor - educational All woman factor - wealth index 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 12 Sawdust 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 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: Medical assistant 0 No 1 Yes Prenatal: Nurse/midwife 0 No 1 Yes Prenatal: Auxiliary midwife 0 No 1 Yes Prenatal: Matron 0 No 1 Yes NA - Prenatal: CS health professional 0 No 1 Yes Prenatal: Traditional birth attendant 0 No 1 Yes Prenatal: Community/village health worker 0 No 1 Yes NA - Prenatal: CS other person 0 No 1 Yes NA - Prenatal: CS other person 0 No 1 Yes Prenatal: other 0 No 1 Yes NA - Prenatal: CS other 0 No 1 Yes NA - Prenatal: CS other 0 No 1 Yes Prenatal: no one 0 No: some care 1 Yes: no care 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 NA - Last birth a caesarean section 0 No 1 Yes Currently breastfeeding 0 No 1 Yes Currently amenorrheic 0 No 1 Yes Currently abstaining 0 No 1 Yes Entries in pregnancy and postnatal care roster NA - Entries in immunization roster Entries in child health roster Entries in height/weight roster Women's age in years (from household questionnaire) Under age 18 (from household questionnaire) 1 Under age 18 2 Age 18 or older Line number of parent/caretaker 0 Not in household Read consent statement - hemoglobin 1 Granted 2 Parent/other refused 3 Respondent refused 4 Adult/parent not present Hemoglobin level (g/dl - 1 decimal) 994 Not present 995 Refused Currently pregnant (from household questionnaire) 0 No/don't know 1 Yes Result of measurement - hemoglobin 0 Measured 3 Not present 4 Refused 6 Other 7 No measurement found in household Hemoglobin level adjusted for altitude and smoking (g/dl - 1 decimal) Anemia level 1 Severe 2 Moderate 3 Mild 4 Not anemic NA - Agrees to referral - anemia 0 No 1 Yes Have mosquito bed net for sleeping (from household questionnaire) 0 No 1 Yes Children under 5 slept under mosquito bed net last night (household questionnair 0 No 1 All children 2 Some children 3 No net in household Respondent slept under mosquito bed net 0 No 1 Yes Record for Last Birth 0 See specific questions 1 Last birth only 2 All births in last 5 years Case Identification Case Identification Index to birth history Had fever in last two weeks 0 No 1 Yes 8 Don't know NA - Had cough in last two weeks 0 No 1 Yes, last 24 hours 2 Yes, last two weeks 8 Don't know Fever/cough: Government hospital 0 No 1 Yes Fever/cough: Government health center 0 No 1 Yes Fever/cough: Dispensary 0 No 1 Yes Fever/cough: MCH 0 No 1 Yes Fever/cough: Government health post 0 No 1 Yes Fever/cough: Mobile clinic 0 No 1 Yes Fever/cough: Fieldworker/Community health worker 0 No 1 Yes Fever/cough: Other public sector 0 No 1 Yes NA - Fever/cough: CS public sector 0 No 1 Yes Fever/cough: private hospital/ clinic 0 No 1 Yes Fever/cough: private pharmacy 0 No 1 Yes Fever/cough: private doctor 0 No 1 Yes Fever/cough: Other private sector 0 No 1 Yes NA - Fever/cough: CS private medical 0 No 1 Yes NA - Fever/cough: CS private medical 0 No 1 Yes NA - Fever/cough: CS private medical 0 No 1 Yes 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 SP/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 tablets taken for fever 0 No 1 Yes Quinine injection/IV taken for fever 0 No 1 Yes Dihydroartemisinin-piperaquine 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-lumefantrine taken for fever 0 No 1 Yes Artesunate-amodiaquine 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 Artesunate mefloquine 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 Place first sought treatment for fever 10 PUBLIC SECTOR 11 Government hospital 12 Government health center 13 Dispensary 14 MCH 15 Government health post 16 Mobile clinic 17 Fieldworker/Community health worker 18 Other public sector 20 PRIVATE SECTOR 21 Private hospital, clinic 22 Pharmacy 23 Private doctor 24 Other private sector 30 OTHER 31 Shop 32 Traditional practitioner 33 Market 34 itinerant drug seller 96 Other Number of days after fever began sought advice or treatment 0 Same day 98 Don't know Blood taken from child's finger/heel for testing 0 No 1 Yes 8 Don't know 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) 995 Refused 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 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 tablets taken for fever 0 No 1 Yes Quinine injection/IV taken for fever 0 No 1 Yes Dihydroartemisinin-piperaquine 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-lumefantrine taken for fever 0 No 1 Yes Artesunate-Amodiaquine 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 Artesunate mefloquine taken for fever 0 No 1 Yes NA - CS other taken for fever 0 No 1 Yes NA - CS other taken for fever 0 No 1 Yes Other taken for fever 0 No 1 Yes Nothing taken and didn't seek treatment for fever/cough 0 No 1 Yes, nothing taken Don't know if or what was taken for fever 0 No 1 Yes, don't know NA - Injection given for fever/convulsion 0 No 1 Yes NA - Suppository given for fever/convulsion 0 No 1 Yes NA - No suppository or injection given for fever/convulsion 0 No 1 Yes NA - Don't know if suppository or injection given for fever/convulsion 0 No 1 Yes Timing of start of fansidar 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took fansidar 7 7+ days 8 Don't know NA - First source for fansidar 0 Other source 1 At home 8 Don't know Timing of start of chloroquine 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took chloroquine 7 7+ days 8 Don't know NA - First source for chloroquine 0 Other source 1 At home 8 Don't know Timing of start of amodiaquine 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took amodiaquine 7 7+ days 8 Don't know NA - First source for amodiaquine 0 Other source 1 At home 8 Don't know Timing of start of quinine 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took quinine 7 7+ days 8 Don't know NA - First source for quinine 0 Other source 1 At home 8 Don't know NA - For fever/convulsion: consulted traditional healer 0 No 1 Yes NA - For fever/convulsion: gave tepid sponging 0 No 1 Yes NA - For fever/convulsion: gave herbs 0 No 1 Yes NA - For fever/convulsion: CS 0 No 1 Yes NA - For fever/convulsion: CS 0 No 1 Yes NA - For fever/convulsion: CS 0 No 1 Yes NA - For fever/convulsion: other 0 No 1 Yes NA - For fever/convulsion: gave/did nothing 0 No 1 Yes NA - For fever/convulsion: don't know if something else was done 0 No 1 Yes Timing of start of combination with artemisinin 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took combination with artemisinin 7 7+ days 8 Don't know NA - First source for combination with artemisinin 0 Other source 1 At home 8 Don't know Timing of start of Artemether-lumefantrin 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took CS antimalarial 7 7+ days 8 Don't know NA - First source for CS antimalarial 0 Other source 1 At home 8 Don't know Timing of start of Artesunate-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 CS antimalarial 7 7+ days 8 Don't know NA - First source for CS antimalarial 0 Other source 1 At home 8 Don't know Timing of start of other anti-malarial use 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took other anti-malarial 7 7+ days 8 Don't know NA - First source for other anti-malarial 0 Other source 1 At home 8 Don't know NA - First source for antibiotic pill/syrup 0 Other source 1 At home 8 Don't know Timing of start of artesunate 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know Case Identification Case Identification Structure number Highest educational level 0 No education 1 Primary 2 Secondary or higher Lack of hygiene in an environment: contract malaria 0 No 1 Yes Mosquito bite: contract malaria 0 No 1 Yes Not take preventive medication: ways to contract malaria 0 No 1 Yes Physical effort/fatigue: ways to contract malaria 0 No 1 Yes Direct exposure to sun light while working: ways to contract malaria 0 No 1 Yes Stay under the rain: ways to contract malaria 0 No 1 Yes Sudden change of climate: ways to contract malaria 0 No 1 Yes Malnutrition: ways to contract malaria 0 No 1 Yes Fruits consumption: ways to contract malaria 0 No 1 Yes Lack of personal hygiene: ways to contract malaria 0 No 1 Yes In the bushes: ways to contract malaria 0 No 1 Yes Other: ways to contract malaria 0 No 1 Yes Don't know: ways to contract malaria 0 No 1 Yes Main symptoms of malaria 1 Fever 2 Loss of appetite and vomiting 3 High temperature with convulsions 4 High temperature with loss of consciousness 5 Temperature persistence 6 Convulsions 7 Jaundice 8 Fatigue 96 Other 98 Don't know Protect against malaria by: sleep under a mosquito net 0 No 1 Yes Protect against malaria by: sleep under an insecticide treated mosquito net 0 No 1 Yes Protect against malaria by: sleep under an insecticide treated mosquito net ever 0 No 1 Yes Protect against malaria by: take preventive medication 0 No 1 Yes Protect against malaria by: take medication while pregnant 0 No 1 Yes Protect against malaria by: use an insecticide/diffuser/cream/lotions/repellents Protect against malaria by: use mosquito coils 0 No 1 Yes Protect against malaria by: do not get cold 0 No 1 Yes Protect against malaria by: stay exposed to sun light 0 No 1 Yes Protect against malaria by: keep house surroundings clean 0 No 1 Yes Protect against malaria by: spray inside of the house 0 No 1 Yes Protect against malaria by: other 0 No 1 Yes Protect against malaria by: Don't know 0 No 1 Yes Heard or seen malaria messages in the last 6 months 0 No 1 Yes 9 Missing Heard malaria messages in the last 6 months: Community health worker 0 No 1 Yes Heard malaria messages in the last 6 months: radio 0 No 1 Yes Seen malaria messages in the last 6 months: television 0 No 1 Yes Seen malaria messages in the last 6 months: poster/billboard 0 No 1 Yes Heard or seen malaria messages in the last 6 months: community event 0 No 1 Yes Heard malaria messages in the last 6 months: village/district chief 0 No 1 Yes Seen malaria messages in the last 6 months: health facility 0 No 1 Yes Heard or seen malaria messages in the last 6 months: elsewhere 0 No 1 Yes Heard or seen malaria messages in the last 6 months about Insecticide-treated be 0 No 1 Yes 9 Missing Heard or seen malaria messages in the last 6 months about intra-domiciliary DDT 0 No 1 Yes 9 Missing Heard or seen malaria messages in the last 6 months about intermittent preventiv 0 No 1 Yes 9 Missing Heard or seen malaria messages in the last 6 months about other malaria preventi 0 No 1 Yes 9 Missing Heard or seen malaria messages in the last 6 months about seeking early care in 0 No 1 Yes 9 Missing Heard or seen malaria messages in the last 6 months about use of rapid diagnosti 0 No 1 Yes 9 Missing Heard or seen malaria messages in the last 6 months about treatment with artemis 0 No 1 Yes 9 Missing Heard or seen malaria messages in the last 6 months about other malaria treatmen 0 No 1 Yes 9 Missing Children born since January 2012 0 None Case Identification Case Identification Index to Birth History Medicine taken between Aug and Nov 2016 consecutively for 3-4 months to avoid ma 0 No 1 Yes 8 Don't know Name of medicine taken 1 Sulfadoxine-pyrimethamine and amodiaquine (SP+AQ) 6 Other Times medicine taken Reason for not taking medicine to avoid malaria 1 Severely sick 2 Already had malaria 3 Already taking an antimalarial 4 Allergic to medicine 5 Was not home 6 Parents/children refused 7 Barely born 8 Not born yet 96 Other 98 Don't know Since Aug 2017, has child taken antimalarial medicine every month? 0 No 1 Yes 8 Don't know Name of medicine taken 1 Sulfadoxine-pyrimethamine and amodiaquine (SP+AQ) 6 Other How long after fever started did first take a combination of Dihydroartemisinin 0 Same day 1 Next day 2 Two days after fever 3 Three days or more after fever 8 Don't know 9 Missing How long after fever started did first take Artesunate and mefloquine 0 Same day 1 Next day 2 Two days after fever 3 Three days or more after fever 8 Don't know 9 Missing Fieldworker code Country code and phase Fieldworker region of residence 1 Lomé 2 Maritime 3 Plateaux 4 Centrale 5 Kara 6 Savanes Fieldworker type of place of residence 1 CIty 2 Town 3 Rural Fieldworker age Fieldworker sex 1 Male 2 Female Fieldworker marital status 1 Married 2 Living with a man/woman 3 Widowed 4 Divorced 5 Separated 6 Never married or living 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 1st Cycle 3 Secondary 2nd Cycle 4 Superior Highest grade/form/year at that level completed by fieldworker 0 Less than a year 1 1st year 2 2nd year 3 3rd year 4 4th year 5 5th year 6 6th year Fieldworker religion 1 Traditionalist / Animist 2 Muslim 3 Catholic 4 Evangelical Presbyterian 5 Methodist 6 Assembly of God 7 Baptist 8 Pentecostal 9 Jehovah's Witness 10 Adventist 11 Other Christian 12 No religion 96 Other Fieldworker ethnicity 1 Adja-Ewe/Mina 2 Kabye/Tem 3 Akposso/Akebou 4 Ana-Ife 5 Para-Gourma/Akan 95 Other Togolese 96 Stranger Languages spoken by fieldworker French Ewe/Mina Kabye Kotokoli/Tem Akposso/Akebou Ife/Ana Moba-gourma Tchokossi Bassar/Konkomba Other Foreign Others No other language Fieldworker's mother tongue/native language 1 French 2 Ewe/Mina 3 Kabye 4 Kotokoli/Tem 5 Akposso/Akebou 6 Ife/Ana 7 Moba-gourma 8 Tchokossi 9 Bassar/Konkomba 96 Others 97 Other foreign 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, [Implementing agency 1] 2 Yes, [Implementing agency 2] 3 No Is fieldworker a permanent or temporary employee of agency 1 Permanent 2 Temporary