MDG_2016_MIS_v01_M DDI_MDG_2016_MIS_v01_M_WB Development Data Group Nesstar Publisher Version 01 (mars 2017). Métadonnées est extrait du Rapport «Enquête sur les Indicateurs du Paludisme (EIPM) 2016». Enquête sur les Indicateurs du Paludisme 2016 MIS 2016 / EIPM 2016 MDG_2016_MIS_v01_M Institut National de la Statistique (INSTAT) Programme National de Lutte contre le Paludisme Institut Pasteur de Madagascar ICF International Nesstar Publisher Gouvernement du Madagascar United States Agency of International Development Fonds Mondial Questions Généraux Données Demographic and Health Survey, Special (MIS) Madagascar National Sample survey data [ssd] Institut National de la Statistique (INSTAT) La taille totale de l'échantillon de l'EIPM a été calculée de façon à fournir des résultats statistiquement représentatifs sur la prévalence du paludisme chez les enfants de 6-59 mois pour chacun des quatre faciès épidémiologiques. Différents niveaux de précision ont été utilisés pour estimer la taille de chaque domaine et de façon que la taille totale ne soit pas trop grande. La taille totale est estimée à 12 000 ménages, et cette taille fournit un niveau de précision acceptable pour l'estimation de la prévalence du paludisme pour les quatre faciès et est acceptable d'un point de vue de l'exécution de l'enquête. L'échantillon de l'EIPM est un échantillon aréolaire, stratifié et tiré à 2 degrés. L'unité primaire de sondage (UPS) est la zone de dénombrement (ZD) telle que définie au cours des activités de cartographie censitaire réalisée en 2008-2009 en préparation du prochain Recensement Général de la Population et de l'Habitation (RGPH). Face-to-face [f2f] Deux types de questionnaires ont été utilisés au cours de l’EIPM : un questionnaire ménage et un questionnaire individuel pour les femmes de 15-49 ans. Ces questionnaires sont basés sur les questionnaires standards développés dans le cadre du programme international DHS en consultation avec le Monitoring and Evaluation Reference Group (MERG) de Roll Back Malaria (RBM), et adaptés aux spécificités et aux besoins du pays. Au cours de l’EIPM, les interviews ont été conduites à l’aide des tablettes PC. Sur le terrain, lorsque la collecte dans une grappe était terminée, vérifiée et contrôlée, le chef d’équipe envoyait immédiatement les données de la grappe à l’ordinateur central au bureau à l’INSTAT en utilisant le réseau internet ou bien il transmettait le fichier complet de données collectées aux coordonnateurs lors de leur passage sur le terrain. Deux coordonnateurs en informatique, au bureau central, avaient pour tâche de vérifier, au jour le jour, les grappes complétées et de télécharger sur un ordinateur central, les données collectées sur le terrain. Ils procédaient par la suite à l’édition des données et à la vérification interne des réponses. Le traitement des données de l’EIPM a été réalisé en utilisant le logiciel CSPro. Dans les grappes complétées au cours de l’EIPM, 11 479 ménages ont été sélectionnés et parmi eux 11 378 ont été identifiés. De ces 11 378 ménages, 11 284 ont été interviewés avec succès, soit un taux de réponse de 99,2 %. Quels que soient la région, le milieu de résidence ou la zone d’intervention, la quasitotalité des ménages et des femmes ont été enquêtés. The DHS Program 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 11479 52 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECH1.NSDstat 49141 31 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECH2.NSDstat 11284 97 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECH3.NSDstat 11479 61 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECH6.NSDstat 8153 46 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECH6B.NSDstat 26954 14 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECHMH.NSDstat 49141 25 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECHMH2.NSDstat 49141 3 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECHML.NSDstat 18593 19 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECHML2.NSDstat 18593 11 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC01.NSDstat 10816 45 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC4A.NSDstat 6978 118 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC11.NSDstat 10655 64 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC21.NSDstat 7627 24 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC22.NSDstat 10655 45 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC41.NSDstat 5227 165 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC42.NSDstat 10655 179 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC44.NSDstat 6978 32 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC81.NSDstat 10655 15 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC91.NSDstat 10816 26 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC94.NSDstat 5227 9 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC95.NSDstat 6978 27 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC97.NSDstat 10655 205 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC98.NSDstat 6978 15 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECML.NSDstat 6978 69 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. Case Identification Country code and phase Cluster number Household number Respondent's line number (answering Household questionnaire) 0 Incomplete household Ultimate area unit Household sample weight (6 decimals) Month of interview Year of interview Date of interview (CMC) 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 Analamanga - Urban 2 Analamanga - Rural 3 Vakinankaratra - Urban 4 Vakinankaratra - Rural 5 Itasy - Urban 6 Itasy - Rural 7 Bongolava - Urban 8 Bongolava - Rural 9 Haute Matsiatra - Urban 10 Haute Matsiatra - Rural 11 Amoron I Mania - Urban 12 Amoron I Mania - Rural 13 Vatovavy Fitovinany - Urban 14 Vatovavy Fitovinany - Rural 15 Ihorombe - Urban 16 Ihorombe - Rural 17 Atsimo Atsinanana - Urban 18 Atsimo Atsinanana - Rural 19 Atsinanana - Urban 20 Atsinanana - Rural 21 Analanjirofo - Urban 22 Analanjirofo - Rural 23 Alaotra Mangoro - Urban 24 Alaotra Mangoro - Rural 25 Boeny - Urban 26 Boeny - Rural 27 Sofia - Urban 28 Sofia - Rural 29 Betsiboka - Urban 30 Betsiboka - Rural 31 Melaky - Urban 32 Melaky - Rural 33 Atsimo Andrefana - Urban 34 Atsimo Andrefana - Rural 35 Androy - Urban 36 Androy - Rural 37 Anosy - Urban 38 Anosy - Rural 39 Menabe - Urban 40 Menabe - Rural 41 Diana - Urban 42 Diana - Rural 43 Sava - Urban 44 Sava - Rural Stratification used in sample design 0 National 1 Analamanga - Urban 2 Analamanga - Rural 3 Vakinankaratra - Urban 4 Vakinankaratra - Rural 5 Itasy - Urban 6 Itasy - Rural 7 Bongolava - Urban 8 Bongolava - Rural 9 Haute Matsiatra - Urban 10 Haute Matsiatra - Rural 11 Amoron I Mania - Urban 12 Amoron I Mania - Rural 13 Vatovavy Fitovinany - Urban 14 Vatovavy Fitovinany - Rural 15 Ihorombe - Urban 16 Ihorombe - Rural 17 Atsimo Atsinanana - Urban 18 Atsimo Atsinanana - Rural 19 Atsinanana - Urban 20 Atsinanana - Rural 21 Analanjirofo - Urban 22 Analanjirofo - Rural 23 Alaotra Mangoro - Urban 24 Alaotra Mangoro - Rural 25 Boeny - Urban 26 Boeny - Rural 27 Sofia - Urban 28 Sofia - Rural 29 Betsiboka - Urban 30 Betsiboka - Rural 31 Melaky - Urban 32 Melaky - Rural 33 Atsimo Andrefana - Urban 34 Atsimo Andrefana - Rural 35 Androy - Urban 36 Androy - Rural 37 Anosy - Urban 38 Anosy - Rural 39 Menabe - Urban 40 Menabe - Rural 41 Diana - Urban 42 Diana - Rural 43 Sava - Urban 44 Sava - Rural Region 11 Analamanga 12 Vakinankaratra 13 Itasy 14 Bongolava 21 Haute Matsiatra 22 Amoron I Mania 23 Vatovavy Fitovinany 24 Ihorombe 25 Atsimo Atsinanana 31 Atsinanana 32 Analanjirofo 33 Alaotra Mangoro 41 Boeny 42 Sofia 43 Betsiboka 44 Melaky 51 Atsimo Andrefana 52 Androy 53 Anosy 54 Menabe 71 Diana 72 Sava 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 NA - Total adults measured Household selected for hemoglobin 0 Not selected 1 Selected NA - Household selected for Domestic Violence module 0 Household not selected 1 Household selected Language of questionnaire 1 French 2 Malagasy 6 Other Language of interview 1 French 2 Malagasy 6 Other Native language of respondent 1 French 2 Malagasy 6 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 12 Not related 13 Niece/nephew by blood 14 Niece/nephew by marriage 98 Don't know Usual resident 0 No 1 Yes Slept last night 0 No 1 Yes Sex of household member 1 Male 2 Female Age of household members 95 95+ 98 Don't know NA - Highest educational level attained 0 No education, preschool 1 Primary 2 Secondary 3 Higher 8 Don't know NA - Highest year of education completed 98 Don't know NA - Education completed in single years 97 Inconsistent 98 Don't know NA - Educational attainment 0 No education 1 Incomplete primary 2 Complete primary 3 Incomplete secondary 4 Complete secondary 5 Higher 8 Don't know NA - Member still in school 0 No 1 Yes NA - Mother alive 0 No 1 Yes 8 Don't know NA - Mother's line number 0 Mother not in household NA - Father alive 0 No 1 Yes 8 Don't know NA - Father's line number 0 Father not in household NA - Current marital status 0 Never married 1 Married 2 Living together 3 Widowed 4 Divorced 5 Not living together NA - Currently, formerly, never married 0 Never married 1 Currently married 2 Formerly/ever married Eligibility for female interview 0 Not eligible 1 Eligible NA - Eligibility for male interview 0 Not eligible 1 Eligible Children eligibility for height/weight and hemoglobin 0 Not eligible 1 Eligible NA - Member attended school during current school year 0 No 1 Currently attending 2 Attended at some time NA - Educational level during current school year 0 No education, preschool 1 Primary 2 Secondary 3 Higher 8 Don't know NA - Grade of education during current school year 98 Don't know NA - Education in single years - current school year 97 Inconsistent 98 Don't know NA - Member attended school during previous school year 0 No 1 Yes NA - Educational level during previous school year 0 No education, preschool 1 Primary 2 Secondary 3 Higher 8 Don't know NA - Grade of education during previous school year 98 Don't know NA - Education in single years - previous school year 97 Inconsistent 98 Don't know NA - School attendance status 0 Never attended 1 Entered school 2 Advanced 3 Repeating 4 Dropout 5 Left school 2+ years ago 8 Don't know NA - Member has a birth certificate 0 Neither certificate or registered 1 Has certificate 2 Registered 8 Don't know Case Identification Source of drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 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 - 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 Water not available for at least a day last two weeks 0 No, not interrupted for a full day 1 Yes, interrupted for a full day or more 8 Don't know Time to get to water source (minutes) 996 On premises 998 Don't know Type of toilet facility 10 FLUSH TOILET 11 Flush to piped sewer system 12 Flush to septic tank 13 Flush to pit latrine 14 Flush to somewhere else 15 Flush, don't know where 20 PIT TOILET LATRINE 21 Ventilated Improved Pit latrine (VIP) 22 Pit latrine with slab 23 Pit latrine without slab/open pit 30 NO FACILITY 31 No facility/bush/field 41 Composting toilet 42 Bucket toilet 43 Hanging toilet/latrine 96 Other Has electricity 0 No 1 Yes Has radio 0 No 1 Yes Has television 0 No 1 Yes Has refrigerator 0 No 1 Yes Has bicycle 0 No 1 Yes Has motorcycle/scooter 0 No 1 Yes Has car/truck 0 No 1 Yes Main floor material 10 NATURAL 11 Earth/sand 12 Dung 20 RUDIMENTARY 21 Wood planks 22 Palm/bamboo 23 Mat 30 FINISHED 31 Parquet or polished wood 32 Vinyl or asphalt strips 33 Ceramic tiles 34 Cement 35 Carpet 96 Other Main wall material 10 NATURAL 11 No walls 12 Cane/palm/trunks 13 Dirt 20 RUDIMENTARY 21 Bamboo with mud 22 Stone with mud 23 Uncovered adobe 24 Plywood 25 Cardboard 26 Reused wood 30 FINISHED 31 Cement 32 Stone with lime/cement 33 Bricks 34 Cement blocks 35 Covered adobe 36 Wood planks/shingles 37 Sheet metal 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 Metal 32 Wood 33 Calamine/cement fiber 34 Ceramic tiles 35 Cement 36 Roofing shingles 96 Other Number of rooms used for sleeping Relationship structure 0 No adults 1 One adult 2 Two adults, opposite sex 3 Two adults, same sex 4 Three+ related adults 5 Unrelated adults Line number of head of household Sex of head of household 1 Male 2 Female Age of head of household 97 97+ 98 Don't know Has telephone (land-line) 0 No 1 Yes Share toilet with other households 0 No 1 Yes Type of cooking fuel 1 Electricity 2 LPG 3 Natural gas 4 Biogas 5 Kerosene 6 Coal, lignite 7 Charcoal 8 Wood 9 Straw/shrubs/grass 10 Agricultural crop 11 Animal dung 95 No food cooked in house 96 Other Has mosquito bed net for sleeping 0 No 1 Yes Children under 5 slept under mosquito bed net last night 0 No 1 All children 2 Some children 3 No net in household NA - Place where household members wash their hands 1 Observed, fixed place 2 Observed, mobile place 3 Not observed: not in dwelling 4 Not observed: no permission to see 5 Not observed: other reason NA - Presence of water at hand washing place 0 Water not available 1 Water is available NA - Items present: Soap or detergent 0 No 1 Yes NA - Items present: Ash, mud, sand 0 No 1 Yes NA - Items present: CS 0 No 1 Yes NA - Items present: CS 0 No 1 Yes NA - Items present: CS 0 No 1 Yes NA - Items present: None 0 No 1 Yes: no cleansing agent observed NA - Result of salt test for iodine (PPM) 0 0 PPM (no iodine) 7 Below 15 PPM 15 15 PPM and above 30 30 PPM 994 Salt not tested 995 No salt in household NA - Result of salt test for iodine 0 No iodine 1 Iodine present 3 No salt in household 6 Salt not tested Location of source for water 1 In own dwelling 2 In own yard/plot 3 Elsewhere NA - Person fetching water 1 Adult woman 2 Adult man 3 Female child under 15 years old 4 Male child under 15 years old 6 Other Anything done to water to make safe to drink 0 No 1 Yes 8 Don't know Water usually treated by: boil 0 No 1 Yes 8 Don't know Water usually treated by: add bleach/chlorine 0 No 1 Yes 8 Don't know Water usually treated by: strain through a cloth 0 No 1 Yes 8 Don't know Water usually treated by: use water filter 0 No 1 Yes 8 Don't know Water usually treated by: solar disinfection 0 No 1 Yes 8 Don't know Water usually treated by: let it stand and settle 0 No 1 Yes 8 Don't know NA - Water usually treated by: CS 0 No 1 Yes 8 Don't know NA - Water usually treated by: CS 0 No 1 Yes 8 Don't know NA - Water usually treated by: CS 0 No 1 Yes 8 Don't know NA - Water usually treated by: CS 0 No 1 Yes 8 Don't know NA - Water usually treated by: CS 0 No 1 Yes 8 Don't know Water usually treated by: other 0 No 1 Yes 8 Don't know Water usually treated by: don't know 0 No 1 Yes: don't know what is done to water 8 Don't know Number of households sharing toilet 95 10 or more households 98 Don't know Location of toilet facility 1 In own dwelling 2 In own yard/plot 3 Elsewhere NA - Food cooked on stove or open fire 1 Open fire 2 Open stove 3 Closed stove with chimney 6 Other NA - Household has a chimney, hood or neither 0 Neither chimney or hood 1 Chimney 2 Hood NA - Food cooked in the house/ separate building/ outdoors 1 In the house 2 In a separate building 3 Outdoors 6 Other NA - Household has separate room used as kitchen 0 No 1 Yes Has mobile telephone 0 No 1 Yes Has watch 0 No 1 Yes Has animal-drawn cart 0 No 1 Yes Has boat with a motor 0 No 1 Yes Has a computer 0 No 1 Yes Owns land usable for agriculture 0 No 1 Yes Hectares of agricultural land (1 decimal) 950 95 or more 998 Unknown Owns livestock, herds or farm animals 0 No 1 Yes Owns other 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 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 NA - Owns CS 0 None 95 95 or more 98 Unknown Has bank account 0 No 1 Yes NA - Frequency household members smoke inside the house 0 Never 1 Daily 2 Weekly 3 Monthly 4 Less than once a month Has dwelling been sprayed against mosquitoes in last 12 months 0 No 1 Yes 8 Don't know Dwelling sprayed by: government worker/program 0 No 1 Yes 8 Don't know Dwelling sprayed by: private company 0 No 1 Yes 8 Don't know Dwelling sprayed by: NGO 0 No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS 0 No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS 0 No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS 0 No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS 0 No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS 0 No 1 Yes 8 Don't know Dwelling sprayed by: other 0 No 1 Yes 8 Don't know Dwelling sprayed by: don't know 0 No 1 Yes: don't know who sprayed the dwelling 8 Don't know if it was sprayed Wealth index combined 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score combined (5 decimals) Wealth index for urban/rural 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score for urban/rural (5 decimals) Number of mosquito bed nets 98 Don't know Number of mosquito bed nets with specific information Number of children under mosquito bed net previous night Case Identification District Transmission Zones 1 Equatorial 2 Tropical 3 Sub-desert 4 High Plateau Intervention zones 1 Endemic zone 2 Non-endemic zone Operational Zones 1 East 2 West 3 South 4 High Central Lands 5 Margin Anyone came to spray walls 0 No 1 Yes 8 Don't know Anyone came to raise awareness about campaign 0 No 1 Yes 8 Don't know Reason didn't allow IRS: smell 0 No 1 Yes Reason didn't allow IRS: dirty 0 No 1 Yes Reason didn't allow IRS: displace furniture 0 No 1 Yes Reason didn't allow IRS: makes people sick 0 No 1 Yes Reason didn't allow IRS: contaminate crops 0 No 1 Yes Reason didn't allow IRS: other 0 No 1 Yes Months ago house sprayed for IRS 98 Don't know Paid for IRS spraying 0 No 1 Yes 8 Don't know Time spent outside home after IRS spraying 0 No time 100 Within first minute after IRS 101 Minutes: 1 199 Minutes: number missing 201 Hours: 1 299 Hours: number missing 998 Don't know Done anything to the walls since spraying 0 No 1 Yes 8 Don't know Months ago did anything to the walls 98 Don't know Received messages about campaign distribution in Sept, Oct, Nov 2015 0 No 1 Yes Received messages before campaign 0 No 1 Yes Received messages before campaign via: home visits 0 No 1 Yes Received messages before campaign via: animation groups 0 No 1 Yes Received messages before campaign via: sports radio/television 0 No 1 Yes Received messages before campaign via: health center 0 No 1 Yes Received messages before campaign via: in CPN 0 No 1 Yes Received messages before campaign via: vaccination visits 0 No 1 Yes Received messages before campaign via: other means 0 No 1 Yes Received messages during campaign 0 No 1 Yes Received messages during campaign via: home visits 0 No 1 Yes Received messages during campaign via: animation group 0 No 1 Yes Received messages during campaign via: sports radio/television 0 No 1 Yes Received messages during campaign via: health center 0 No 1 Yes Received messages during campaign via: in CPN 0 No 1 Yes Received messages during campaign via: vaccination visits 0 No 1 Yes Received messages during campaign via: other means 0 No 1 Yes Received messages after campaign 0 No 1 Yes Received messages after campaign via: home visits 0 No 1 Yes Received messages after campaign via: animation group 0 No 1 Yes Received messages after campaign via: sports radio/television 0 No 1 Yes Received messages after campaign via: health center 0 No 1 Yes Received messages after campaign via: in CPN 0 No 1 Yes Received messages after campaign via: vaccination visits 0 No 1 Yes Received messages after campaign via: other means 0 No 1 Yes Messages received about campaign: where to find ITNs 0 No 1 Yes Messages received about campaign: when to find ITNs 0 No 1 Yes Messages received about campaign: ITN is free 0 No 1 Yes Messages received about campaign: how to hang ITN 0 No 1 Yes Messages received about campaign: how to maintain ITNs 0 No 1 Yes Messages received about campaign: when to use ITNs 0 No 1 Yes Messages received about campaign: take interest in ITNs 0 No 1 Yes Messages received about campaign: other messages 0 No 1 Yes Number of malaria messages heard in last 12 months 98 Don't know Have net not being used for sleeping 0 No 1 Yes Number of nets not being used for sleeping 5 5 or more How nets not slept under are being used 1 Use for cleaning 2 Use as curtain 3 Use to protect crops 4 Use for fishing 5 Keep for future use 6 Other use 8 Don't know Prefer to use nets not slept under or give to local officials to dispose 1 Keep for other uses 2 Give to local officials 8 Don't know Own any nets not in possession any longer 0 No 1 Yes What happened to nets not in possession any longer 11 Burned 12 Buried 13 Threw away 14 Composted 15 Gave to someone 16 Exchanged for a new net 96 Other 98 Don't know Have a net texture/color preference 0 No 1 Yes Preferred net texture 1 Soft texture/polyester 2 Rigid texture/polyethylene 6 Other 7 No preference Preferred net color 1 White 2 Blue 3 Green 4 Pink 6 Other 7 No preference Case Identification Index to Household Schedule Child's age in months Child's age in days NA - Child's weight in kilograms (1 decimal) 9994 Not present 9995 Refused 9996 Other NA - Child's height in centimeters (1 decimal) 9994 Not present 9995 Refused 9996 Other NA - Height/Age percentile 9998 Flagged cases Height/Age standard deviation 9998 Flagged cases NA - Height/Age percent of ref. median 99998 Flagged cases NA - Weight/Age percentile 9998 Flagged cases Weight/Age standard deviation 9998 Flagged cases NA - Weight/Age percent of ref. median 99998 Flagged cases NA - Weight/Height percentile 9998 Flagged cases Weight/Height standard deviation 9998 Flagged cases NA - Weight/Height percent of ref. median 99998 Flagged cases NA - Result of measurement - height/weight 0 Measured 3 Not present 4 Refused 6 Other NA - Height: lying or standing 0 Not measured 1 Lying 2 Standing Day of birth 97 Inconsistent 98 Don't know Date measured (day) Date measured (month) Date measured (year) Century Day Code (CDC) of measurement Fieldworker measurer code Sex 1 Male 2 Female Month of birth 97 Inconsistent 98 Don't know Year of birth 9997 Inconsistent 9998 Don't know Date of birth (CMC) Century Day Code (CDC) of birth Completeness of HC32 information 0 Month, year and day 1 Month and year - information complete 2 Month and age - year imputed 3 Year and age - month imputed 5 Year - age/month imputed 6 Age - year/month imputed 7 Month - age/year imputed 8 None - all imputed Line number of parent/caretaker 0 Not in household Read consent statement - hemoglobin 1 Granted 2 Refused 3 Not present/other Hemoglobin level (g/dl - 1 decimal) 994 Not present 995 Refused 996 Other Result of measurement - hemoglobin 0 Measured 3 Not present/other 4 Refused 6 Other Hemoglobin level adjusted for altitude (g/dl - 1 decimal) 997 Inconsistent Anemia level 1 Severe 2 Moderate 3 Mild 4 Not anemic NA - Agrees to referral - anemia 0 No 1 Yes Mother's line number (woman's questionnaire) 993 Mother not de facto 994 Incomplete woman's interview 995 Not in household Mother's highest educational level 0 No education 1 Primary 2 Secondary 3 Higher 8 Don't know Mother's highest year of education 98 Don't know Preceding birth interval (months) Birth order number Mother's highest educational level (for preliminary and final report) 0 No education 1 Primary 2 Secondary 1 3 Seconday 2 4 Higher Height/Age standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases Weight/Age standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases Weight/Height standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases BMI standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases Case Identification Index to Household Schedule Bar code for dried blood sample Species result of rapid test 1 Pf 2 PAN 3 Pf and PAN Child has any symptoms: extrememe weakness 0 No 1 Yes Child has any symptoms: loss of consiousness 0 No 1 Yes Child has any symptoms: rapid or difficult breathing 0 No 1 Yes Child has any symptoms: seizures 0 No 1 Yes Child has any symptoms: abnormal bleeding 0 No 1 Yes Child has any symptoms: jaundice or yellow skin 0 No 1 Yes Child has any symptoms: dark urine 0 No 1 Yes Child has any symptoms: constant vomiting 0 No 1 Yes Child has been given malaria medication in past two weeks 0 No 1 Yes Malaria medication accepted 1 Accepted 5 Refused 6 Other Case Identification 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 Refused 3 Not present/Other 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 Case Identification Index to Household Schedule Main reason member did not sleep under net 11 Did not sleep in house last night 12 Not enough nets 13 Net is in poor condition/destroyed 14 Member was sick 15 It was not necessary 16 Does not like to sleep under net 17 Not afraid of mosquitos 18 Too hot 19 Saving net for future 96 Other reason 98 Don't know 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 Net treated with insecticide when bought 0 No 1 Yes 8 Don't know NA - Net treatment status 0 Not pretreated 1 Pretreated, permanent treatment 2 Pretreated, requiring future treatment 3 Not pretreated, came with kit and treated at home 4 Pretreated, treatment type not known 6 Other 8 Don't know Brand of net 10 Long-lasting insecticide treated nets (LLIN) 11 Olyset 12 Permanet 13 Super Moustiquaire 14 Milay 15 Tsaralay 16 Interceptor 17 Bestnet/Netprotect 18 Yorkool 19 Royal Sentry 20 Other/don't know LLIN 30 Pretreated net 31 Any brand 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 (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 in 2015 2 Yes, antenatal care 3 Yes, immunization visit Place where net was obtained 10 Government health facility 11 Public health organization 12 Public distribution site 20 Private health facility 21 Private health organization 22 Private company 30 Other sources 31 Pharmacy 32 Shop/market 33 Community health worker 34 Religious institution 35 Non-governmental organization 96 Other 98 Don't know Case Identification Mosquito Bed Net Designation Number Net was not packaged when obtained 0 No (was in package) 1 Yes (was not in package) 8 Not sure Washed net in the last 12 months 0 No 1 Yes Number of times washed in the last 12 months 98 Not sure How net is dried after washing 1 In the shade 2 In the sun 3 Dried in any way 8 Not sure Repair net when it tears 0 No 1 Yes 8 Not sure Line number of person who slept in this net 0 No one Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net Case Identification 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 NA - CMC start of calendar NA - Row of month of interview 0 No calendar NA - Length of calendar 0 No calendar NA - Number of calendar columns 0 No calendar Ever-married sample 0 All woman sample 1 Ever married sample Primary sampling unit Sample strata for sampling errors 1 Analamanga - Urban 2 Analamanga - Rural 3 Vakinankaratra - Urban 4 Vakinankaratra - Rural 5 Itasy - Urban 6 Itasy - Rural 7 Bongolava - Urban 8 Bongolava - Rural 9 Haute Matsiatra - Urban 10 Haute Matsiatra - Rural 11 Amoron I Mania - Urban 12 Amoron I Mania - Rural 13 Vatovavy Fitovinany - Urban 14 Vatovavy Fitovinany - Rural 15 Ihorombe - Urban 16 Ihorombe - Rural 17 Atsimo Atsinanana - Urban 18 Atsimo Atsinanana - Rural 19 Atsinanana - Urban 20 Atsinanana - Rural 21 Analanjirofo - Urban 22 Analanjirofo - Rural 23 Alaotra Mangoro - Urban 24 Alaotra Mangoro - Rural 25 Boeny - Urban 26 Boeny - Rural 27 Sofia - Urban 28 Sofia - Rural 29 Betsiboka - Urban 30 Betsiboka - Rural 31 Melaky - Urban 32 Melaky - Rural 33 Atsimo Andrefana - Urban 34 Atsimo Andrefana - Rural 35 Androy - Urban 36 Androy - Rural 37 Anosy - Urban 38 Anosy - Rural 39 Menabe - Urban 40 Menabe - Rural 41 Diana - Urban 42 Diana - Rural 43 Sava - Urban 44 Sava - Rural Stratification used in sample design 0 National 1 Analamanga - Urban 2 Analamanga - Rural 3 Vakinankaratra - Urban 4 Vakinankaratra - Rural 5 Itasy - Urban 6 Itasy - Rural 7 Bongolava - Urban 8 Bongolava - Rural 9 Haute Matsiatra - Urban 10 Haute Matsiatra - Rural 11 Amoron I Mania - Urban 12 Amoron I Mania - Rural 13 Vatovavy Fitovinany - Urban 14 Vatovavy Fitovinany - Rural 15 Ihorombe - Urban 16 Ihorombe - Rural 17 Atsimo Atsinanana - Urban 18 Atsimo Atsinanana - Rural 19 Atsinanana - Urban 20 Atsinanana - Rural 21 Analanjirofo - Urban 22 Analanjirofo - Rural 23 Alaotra Mangoro - Urban 24 Alaotra Mangoro - Rural 25 Boeny - Urban 26 Boeny - Rural 27 Sofia - Urban 28 Sofia - Rural 29 Betsiboka - Urban 30 Betsiboka - Rural 31 Melaky - Urban 32 Melaky - Rural 33 Atsimo Andrefana - Urban 34 Atsimo Andrefana - Rural 35 Androy - Urban 36 Androy - Rural 37 Anosy - Urban 38 Anosy - Rural 39 Menabe - Urban 40 Menabe - Rural 41 Diana - Urban 42 Diana - Rural 43 Sava - Urban 44 Sava - Rural Region 11 Analamanga 12 Vakinankaratra 13 Itasy 14 Bongolava 21 Haute Matsiatra 22 Amoron I Mania 23 Vatovavy Fitovinany 24 Ihorombe 25 Atsimo Atsinanana 31 Atsinanana 32 Analanjirofo 33 Alaotra Mangoro 41 Boeny 42 Sofia 43 Betsiboka 44 Melaky 51 Atsimo Andrefana 52 Androy 53 Anosy 54 Menabe 71 Diana 72 Sava 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 NA - Selected for Domestic Violence module 0 Woman not selected 1 Woman selected and interviewed 2 Woman selected, but privacy not possible 3 Woman selected, but not interviewed Language of questionnaire 1 French 2 Malagasy 6 Other Language of interview 1 French 2 Malagasy 6 Other Native language of respondent 1 French 2 Malagasy 6 Other Translator used 0 No 1 Yes Case Identification Case Identification Index to birth history NA - Had diarrhea recently 0 No 1 Yes, last 24 hours 2 Yes, last two weeks 8 Don't know NA - Blood in the stools 0 No 1 Yes 8 Don't know NA - Diarrhea: government hospital 0 No 1 Yes NA - Diarrhea: CS public sector 0 No 1 Yes NA - Diarrhea: CS public sector 0 No 1 Yes NA - Diarrhea: CS public sector 0 No 1 Yes NA - Diarrhea: CS public sector 0 No 1 Yes NA - Diarrhea: CS public sector 0 No 1 Yes NA - Diarrhea: CS public sector 0 No 1 Yes NA - Diarrhea: CS public sector 0 No 1 Yes NA - Diarrhea: CS public sector 0 No 1 Yes NA - Diarrhea: private hospital/clinic 0 No 1 Yes NA - Diarrhea: private pharmacy 0 No 1 Yes NA - Diarrhea: private doctor 0 No 1 Yes NA - Diarrhea: CS private medical 0 No 1 Yes NA - Diarrhea: CS private medical 0 No 1 Yes NA - Diarrhea: CS private medical 0 No 1 Yes NA - Diarrhea: CS private medical 0 No 1 Yes NA - Diarrhea: CS private medical 0 No 1 Yes NA - Diarrhea: CS private medical 0 No 1 Yes NA - Diarrhea: CS other sector 0 No 1 Yes NA - Diarrhea: CS other sector 0 No 1 Yes NA - Diarrhea: CS other sector 0 No 1 Yes NA - Diarrhea: CS other sector 0 No 1 Yes NA - Diarrhea: CS other sector 0 No 1 Yes NA - Diarrhea: Other 0 No 1 Yes NA - Diarrhea: no treatment 0 No: received treatment 1 Yes: no treatment NA - Diarrhea: medical treatment 0 No 1 Yes NA - Given oral rehydration 0 No 1 Yes: ORS - spontaneous 2 Yes: ORS - probed 8 Don't know NA - Given pre-packaged ORS liquid 0 No 1 Yes 8 Don't know NA - Given recommended home solution 0 No 1 Yes: RHS - spontaneous 2 Yes: RHS - probed 8 Don't know NA - Given antibiotic pills or syrups 0 No 1 Yes 8 Don't know NA - Given antimotility 0 No 1 Yes 8 Don't know NA - Given antibiotic injection 0 No 1 Yes 8 Don't know NA - Given intravenous (IV) 0 No 1 Yes 8 Don't know NA - Given home remedy, herbal medicine 0 No 1 Yes 8 Don't know NA - Given zinc 0 No 1 Yes 8 Don't know NA - Given other (not antibiotic, antimotility, zinc) 0 No 1 Yes 8 Don't know NA - Given unknown pill or syrup 0 No 1 Yes 8 Don't know NA - Given non-antibiotic injection 0 No 1 Yes 8 Don't know NA - Given unknown injection 0 No 1 Yes 8 Don't know NA - Given CS 0 No 1 Yes 8 Don't know NA - Given CS 0 No 1 Yes 8 Don't know NA - Given CS 0 No 1 Yes 8 Don't know NA - Given CS 0 No 1 Yes 8 Don't know NA - Given other treatment 0 No 1 Yes 8 Don't know NA - Given no treatment 0 No: received treatment 1 Yes: no treatment 8 Don't know NA - Received any treatment 0 No 1 Yes Had fever in last two weeks 0 No 1 Yes 8 Don't know NA - Had cough in last two weeks 0 No 1 Yes, last 24 hours 2 Yes, last two weeks 8 Don't know NA - Short, rapid breaths 0 No 1 Yes 8 Don't know NA - Problem in the chest or blocked or running nose 1 Chest only 2 Nose only 3 Both 6 Other 8 Don't know NA - Had fever/cough in last 2 weeks: amount offered to drink 0 Nothing to drink 2 Much less 3 Somewhat less 4 About the same 5 More 8 Don't know NA - Had fever/cough in last 2 weeks: amount offered to eat 0 Stopped food 1 Never gave food 2 Much less 3 Somewhat less 4 About the same 5 More 8 Don't know Fever/cough: government hospital II 0 No 1 Yes Fever/cough: government hospital I 0 No 1 Yes Fever/cough: health center II 0 No 1 Yes Fever/cough: health center I 0 No 1 Yes Fever/cough: other public sector 0 No 1 Yes NA - Fever/cough: CS public sector 0 No 1 Yes NA - Fever/cough: CS public sector 0 No 1 Yes NA - Fever/cough: CS public sector 0 No 1 Yes NA - Fever/cough: CS public sector 0 No 1 Yes Fever/cough: private hospital/ clinic 0 No 1 Yes Fever/cough: private pharmacy 0 No 1 Yes Fever/cough: private doctor 0 No 1 Yes Fever/cough: family planning center (FISA) 0 No 1 Yes Fever/cough: Top Reseau 0 No 1 Yes Fever/cough: private health center 0 No 1 Yes Fever/cough: other private sector 0 No 1 Yes NA - Fever/cough: CS private medical 0 No 1 Yes Fever/cough: community health worker 0 No 1 Yes Fever/cough: shop 0 No 1 Yes Fever/cough: kiosk 0 No 1 Yes Fever/cough: traditional healer 0 No 1 Yes Fever/cough: friend/family 0 No 1 Yes Fever/cough: market 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 NA - Vitamin A in last 6 months 0 No 1 Yes 8 Don't know NA - SP/Fansidar taken for fever 0 No 1 Yes NA - Chloroquine taken for fever 0 No 1 Yes NA - Amodiaquine taken for fever 0 No 1 Yes NA - Quinine taken for fever 0 No 1 Yes NA - Quinine injection/IV taken for fever 0 No 1 Yes NA - Combination with artemisinin taken for fever 0 No 1 Yes NA - Artesunate rectal taken for fever 0 No 1 Yes NA - Artesunate injection/IV taken for fever 0 No 1 Yes NA - CS antimalarial taken for fever 0 No 1 Yes NA - CS antimalarial taken for fever 0 No 1 Yes NA - Other antimalarial taken for fever 0 No 1 Yes NA - Antibiotic pill/syrup taken for fever 0 No 1 Yes NA - 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 NA - Ibuprofen taken for fever 0 No 1 Yes NA - CS other taken for fever 0 No 1 Yes NA - CS other for fever/cough 0 No 1 Yes NA - CS other for fever/cough 0 No 1 Yes NA - Other taken for fever 0 No 1 Yes NA - Nothing taken and didn't seek treatment for fever/cough 0 No 1 Yes, nothing taken NA - Don't know if or what was taken for fever 0 No 1 Yes, don't know NA - Diarrhea in last 2 weeks: amount offered to drink 0 Nothing to drink 2 Much less 3 Somewhat less 4 About the same 5 More 8 Don't know NA - Diarrhea in last 2 weeks: amount offered to eat 0 Stopped food 1 Never gave food 2 Much less 3 Somewhat less 4 About the same 5 More 8 Don't know NA - Taking iron pills, sprinkles or syrup 0 No 1 Yes 8 Don't know NA - Drugs for intestinal parasites in last 6 months 0 No 1 Yes 8 Don't know NA - Place first sought treatment for diarrhea 10 PUBLIC SECTOR 11 Government hospital 12 CS public 13 CS public 14 CS public 15 CS public 16 CS public 20 PRIVATE SECTOR 21 Private hospital, clinic 22 Pharmacy 23 Private doctor 24 CS private 25 CS private 26 CS private 30 OTHER 31 CS other 32 CS other 96 Other NA - Days after diarrhea sought advice or treatment 0 Same day 98 Don't know NA - Still has diarrhea 0 No 1 Yes 8 Don't know NA - Times zinc was given 98 Don't know Place first sought treatment for fever 10 PUBLIC SECTOR 11 Government hospital II 12 Government hospital I 13 Health Center II 14 Health Center I 15 Other public sector 20 PRIVATE SECTOR 21 Private hospital, clinic 22 Pharmacy 23 Private doctor 24 Private health center 25 Family planning center (FISA) 26 Top Reseau 27 Other private sector 30 OTHER 31 Community health worker 32 Shop 33 Kiosk 34 Traditional healer 35 Family/friend 36 Market 96 Other Days after fever sought advice or treatment 0 Same day 98 Don't know Blood taken from child's finger/heel for testing 0 No 1 Yes 8 Don't know NA - Number of days after fever began sought advice or treatment 0 Same day Case Identification Case Identification Region 11 Analamanga 12 Vakinankaratra 13 Itasy 14 Bongolava 21 Haute Matsiatra 22 Amoron I Mania 23 Vatovavy Fitovinany 24 Ihorombe 25 Atsimo Atsinanana 31 Atsinanana 32 Analanjirofo 33 Alaotra Mangoro 41 Boeny 42 Sofia 43 Betsiboka 44 Melaky 51 Atsimo Andrefana 52 Androy 53 Anosy 54 Menabe 71 Diana 72 Sava Type of place of residence 1 Urban 2 Rural NA - Childhood place of residence 0 Capital, large city 1 City 2 Town 3 Countryside 4 Abroad NA - Years lived in place of residence 95 Always 96 Visitor 97 Inconsistent 98 Don't know NA - Type of place of previous residence 0 Capital, large city 1 City 2 Town 3 Countryside 4 Abroad NA - Region of previous residence 1 Region 1 2 Region 2 3 Region 3 4 Region 4 96 Abroad Highest educational level 0 No education 1 Primary 2 Secondary 3 Higher Highest year of education 0 No years completed at level V106 Source of drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 Piped to neighbor 14 Public tap/standpipe 20 TUBE WELL WATER 21 Tube well or borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE FROM SPRING 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irrigation channel 51 Rainwater 61 Tanker truck 62 Cart with small tank 71 Bottled water 96 Other 97 Not a de jure 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 23 Mat 30 FINISHED 31 Parquet or polished wood 32 Vinyl or asphalt strips 33 Ceramic tiles 34 Cement 35 Carpet 96 Other 97 Not a de jure resident Main wall material 10 NATURAL 11 No walls 12 Cane/palm/trunks 13 Dirt 20 RUDIMENTARY 21 Bamboo with mud 22 Stone with mud 23 Uncovered adobe 24 Plywood 25 Cardboard 26 Reused wood 30 FINISHED 31 Cement 32 Stone with lime/cement 33 Bricks 34 Cement blocks 35 Covered adobe 36 Wood planks/shingles 37 Sheet metal 96 Other 97 Not a de jure 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 Metal 32 Wood 33 Calamine/cement fiber 34 Ceramic tiles 35 Cement 36 Roofing shingles 96 Other 97 Not a de jure resident Religion 1 Catholic 2 Protestant/FLM 3 Muslim 4 Traditional 5 No religion 6 Secte 96 Other NA - Ethnicity Education in single years 97 Inconsistent NA - De facto place of residence 0 Capital, large city 1 Small city 2 Town 3 Countryside Usual resident or visitor 1 Usual resident 2 Visitor Number of household members (listed) Number of children 5 and under in household (de jure) Number of eligible women in household (de facto) De jure region of residence 0 Abroad 11 Analamanga 12 Vakinankaratra 13 Itasy 14 Bongolava 21 Haute Matsiatra 22 Amoron I Mania 23 Vatovavy Fitovinany 24 Ihorombe 25 Atsimo Atsinanana 31 Atsinanana 32 Analanjirofo 33 Alaotra Mangoro 41 Boeny 42 Sofia 43 Betsiboka 44 Melaky 51 Atsimo Andrefana 52 Androy 53 Anosy 54 Menabe 71 Diana 72 Sava 97 Not a de jure resident De jure type of place of residence 0 Abroad 1 Urban 2 Rural 7 Not a dejure resident De jure place of residence 0 Capital, large city 1 City 2 Town 3 Countryside 4 Abroad 7 Not a dejure resident Educational attainment 0 No education 1 Incomplete primary 2 Complete primary 3 Incomplete secondary 4 Complete secondary 5 Higher Relationship to household head 1 Head 2 Wife 3 Daughter 4 Daughter-in-law 5 Granddaughter 6 Mother 7 Mother-in-law 8 Sister 9 Co-spouse 10 Other relative 11 Adopted/foster child 12 Not related 98 Don't know Sex of household head 1 Male 2 Female Age of household head 97 97+ 98 Don't know Household has: telephone (land-line) 0 No 1 Yes 7 Not a dejure resident 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 NA - Ever participated in a literacy program outside of primary 0 No 1 Yes NA - Frequency of reading newspaper or magazine 0 Not at all 1 Less than once a week 2 At least once a week 3 Almost every day NA - Frequency of listening to radio 0 Not at all 1 Less than once a week 2 At least once a week 3 Almost every day NA - Frequency of watching television 0 Not at all 1 Less than once a week 2 At least once a week 3 Almost every day Toilet facilities shared with other households 0 No 1 Yes 7 Not a 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 Result of salt test for iodine 0 0 ppm (no iodine) 7 7 ppm 15 15 ppm 30 30 ppm 994 Salt not tested 995 No salt 997 Not a dejure resident NA - Number of trips in last 12 months 0 None 90 90+ NA - Away for more than one month in last 12 months 0 No 1 Yes NA - Owns a mobile telephone 0 No 1 Yes NA - Use mobile telephone for financial transactions 0 No 1 Yes NA - Has an account in a bank or other financial institution 0 No 1 Yes NA - Use of internet 0 Never 1 Yes, last 12 months 2 Yes, before last 12 months 3 Yes, can't establish when NA - Frequency of using internet last month 0 Not at all 1 Less than once a week 2 At least once a week 3 Almost every day Wealth index combined 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score combined (5 decimals) Wealth index for urban/rural 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score for urban/rural (5 decimals) Type of mosquito bed net(s) slept under last night 0 No net 1 Only treated nets 2 Both treated and untreated nets 3 Only untreated nets Case Identification Case Identification Birth column number Birth order number Child is twin 0 Single birth 1 1st of multiple 2 2nd of multiple 3 3rd of multiple 4 4th of multiple 5 5th of multiple Month of birth Year of birth Date of birth (CMC) Sex of child 1 Male 2 Female Child is alive 0 No 1 Yes NA - Age at death 100 Died on day of birth 101 Days: 1 199 Days: number missing 201 Months: 1 299 Months: number missing 301 Years: 1 399 Years: number missing 997 Inconsistent 998 Don't know NA - Age at death (months, imputed) Current age of child Child lives with whom 0 Respondent 1 Father 2 Other relative 3 Someone else 4 Lives elsewhere Completeness of information 0 Month, year and day 1 Month and year - information complete 2 Month and age - year imputed 3 Year and age - month imputed 4 Year and age - year ignored 5 Year - age/month imputed 6 Age - year/month imputed 7 Month - age/year imputed 8 None - all imputed Preceding birth interval (months) Succeeding birth interval (months) NA - Flag for age at death 0 No flag 1 > interview 2 < 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 NA - Duration of pregnancy Case Identification Case Identification Total children ever born Sons at home Daughters at home Sons elsewhere Daughters elsewhere Sons who have died Daughters who have died Births in last five years 0 No births Births in past year 0 No births Births in month of interview NA - Date of first birth (CMC) NA - Age of respondent at 1st birth Currently pregnant 0 No or unsure 1 Yes Duration of current pregnancy NA - Time since last menstrual period 100 Day of interview 101 Days: 1 199 Days: number missing 201 Weeks: 1 299 Weeks: number missing 301 Months: 1 399 Months: number missing 401 Years: 1 499 Years: number missing 994 In menopause/had hysterectomy 995 Before last birth 996 Never menstruated 997 Inconsistent 998 Don't know NA - Menstruated in last six weeks 0 No 1 Yes NA - Knowledge of ovulatory cycle 1 During her period 2 After period ended 3 Middle of the cycle 4 Before period begins 5 At any time 6 Other 8 Don't know Number of living children Living children + current pregnancy Living children + current pregnancy (grouped) 6 6+ NA - Marriage to first birth interval (months) 996 Negative interval NA - Last birth to interview (months) Completeness of current pregnancy information 7 Month - exact date 8 None - date placed Entries in birth history NA - Current pregnancy wanted 1 Then 2 Later 3 Not at all NA - Time since last period (comp) (months) 994 In menopause 995 Before last birth 996 Never menstruated 997 Inconsistent 998 Don't know NA - Flag for last period 0 No flag 1 N > interval since birth 2 N + amen. > interval 3 N, but period not returned 4 95, but no birth 5 95, but period returned 6 96, but period returned 7 N, last period during pregnancy 8 96, had children 9 N, period before last birth NA - Ever had a terminated pregnancy 0 No 1 Yes NA - Month pregnancy ended 97 Inconsistent 98 Don't know NA - Year pregnancy ended 9997 Inconsistent 9998 Don't know NA - CMC pregnancy ended 9997 Inconsistent 9998 Don't know NA - Completeness of last termination information 1 Month and year 2 From calendar 5 Year 7 Month 8 None NA - Months when pregnancy ended 97 Inconsistent 98 Don't know NA - Other such pregnancies 0 No 1 Yes NA - Index last child prior to maternity-health (calendar) 0 No prior child Birth between last and interview 0 No 1 Yes Births in last three years NA - Pregnancies terminated before calendar beginning 0 No 1 Yes NA - Month of last termination prior to calendar 97 Inconsistent 98 Don't know NA - Year of last termination prior to calendar 9997 Inconsistent 9998 Don't know NA - CMC termination ended prior to calendar 9997 Inconsistent 9998 Don't know NA - Completeness of last termination date prior to calendar 1 Month and year 2 From calendar 5 Year 7 Month 8 None NA - Can women get pregnant after birth and before period 0 No 1 Yes 8 Don't know Case Identification Case Identification Index to Birth History NA - Number of tetanus injections before birth 0 Received no injection 7 7+ 8 Don't know NA - Number of tetanus injections before pregnancy 0 Received no injection 7 7+ 8 Don't know NA - Month of last tetanus injection before pregnancy 97 Inconsistent 98 Don't know month NA - Year of last tetanus injection before pregnancy 9997 Inconsistent 9998 Don't know year NA - Years ago received last tetanus injection before pregnancy NA - Last tetanus injection before pregnancy (CMC) 9996 Can't be determined Prenatal: doctor 0 No 1 Yes Prenatal: nurse/midwife 0 No 1 Yes Prenatal: medical assistant 0 No 1 Yes NA - Prenatal: CS health professional 0 No 1 Yes NA - Prenatal: CS health professional 0 No 1 Yes NA - Prenatal: CS health professional 0 No 1 Yes Prenatal: traditional birth attendant 0 No 1 Yes Prenatal: CS other person 0 No 1 Yes NA - Prenatal: CS other person 0 No 1 Yes NA - Prenatal: CS other person 0 No 1 Yes Prenatal: other 0 No 1 Yes NA - Prenatal: CS other 0 No 1 Yes NA - Prenatal: CS other 0 No 1 Yes Prenatal: no one 0 No: some care 1 Yes: no care NA - Assistance: doctor 0 No 1 Yes NA - Assistance: CS health professional 0 No 1 Yes NA - Assistance: CS health professional 0 No 1 Yes NA - Assistance: CS health professional 0 No 1 Yes NA - Assistance: CS health professional 0 No 1 Yes NA - Assistance: CS health professional 0 No 1 Yes NA - Assistance: traditional birth attendant 0 No 1 Yes NA - Assistance: CS other person 0 No 1 Yes NA - Assistance: CS other person 0 No 1 Yes NA - Assistance: CS other person 0 No 1 Yes NA - Assistance: other 0 No 1 Yes NA - Assistance: CS other 0 No 1 Yes NA - Assistance: CS other 0 No 1 Yes NA - Assistance: no one 0 No: some assistance 1 Yes: no assistance NA - Duration of breastfeeding 93 Ever breastfed, not currently breastfeeding 94 Never breastfed 95 Still breastfeeding 96 Breastfed until died 97 Inconsistent 98 Don't know NA - Months of breastfeeding 93 Ever breastfed, not currently breastfeeding 94 Never breastfed 97 Inconsistent 98 Don't know NA - Duration of amenorrhea 96 Period not returned 97 Inconsistent 98 Don't know NA - Months of amenorrhea 97 Inconsistent 98 Don't know NA - Duration of abstinence 96 Still abstaining 97 Inconsistent 98 Don't know NA - Months of abstinence 97 Inconsistent 98 Don't know NA - Wanted pregnancy when became pregnant 1 Then 2 Later 3 No more NA - Desired time would have waited 101 Months: 1 199 Months: number missing 201 Years: 1 299 Years: number missing 998 Don't know NA - Timing of 1st antenatal check (months) 98 Don't know NA - Number of antenatal visits during pregnancy 0 No antenatal visits 98 Don't know NA - Place of delivery 10 HOME 11 Respondent's home 12 Other home 20 PUBLIC SECTOR 21 Government hospital 22 CS Govt health professional 23 CS Govt health professional 26 Other public sector 30 PRIVATE SECTOR 31 Private hospital/clinic 36 Other private sector 96 Other NA - Delivery by caesarean section 0 No 1 Yes NA - Timing on decision for caesarean section 1 Before labor started 2 After labor started NA - Size of child at birth 1 Very large 2 Larger than average 3 Average 4 Smaller than average 5 Very small 8 Don't know NA - Birth weight in kilograms (3 decimals) 9996 Not weighed at birth 9998 Don't know NA - Weight at birth/recall 0 Not weighed 1 From written card 2 From mother's recall 8 Don't know 9 Special answers NA - Flag for breastfeeding 0 No flag 1 > interval 2 > interval by 1 month 3 > age at death 4 During pregnancy in calendar NA - Flag for amenorrhea 0 No flag 1 > interval 2 > interval by 1 month 4 During pregnancy in calendar NA - Flag for abstinence 0 No flag 1 > interval 2 > interval by 1 month 4 During pregnancy in calendar NA - When child put to breast 0 Immediately 100 Within first hour 101 Hours: 1 199 Hours: number missing 201 Days: 1 299 Days: number missing NA - Number of times breastfed during previous night 96 On demand NA - Number of times breastfed during previous day 96 On demand NA - Drank from bottle with nipple yesterday/last night 0 No 1 Yes 8 Don't know NA - Did eat any solid, semi-solid or soft foods yesterday 0 No 1 Yes 8 Don't know NA - Number of times ate solid, semi-solid or soft food yesterday 0 None 7 7+ 8 Don't know NA - During pregnancy: weighed 0 No 1 Yes NA - During pregnancy: height measured 0 No 1 Yes NA - During pregnancy: blood pressure taken 0 No 1 Yes NA - During pregnancy: urine sample taken 0 No 1 Yes NA - During pregnancy: blood sample taken 0 No 1 Yes NA - Told about pregnancy complications 0 No 1 Yes 8 Don't know NA - Told where to go for pregnancy complications 0 No 1 Yes 8 Don't know NA - During pregnancy, given or bought iron tablets/syrup 0 No 1 Yes 8 Don't know NA - Days tablets or syrup taken 0 Were not taken 998 Don't know NA - During pregnancy, had difficulty with daylight vision 0 No 1 Yes 8 Don't know NA - During pregnancy, had difficulty with night blindness 0 No 1 Yes 8 Don't know During pregnancy took: SP/fansidar for malaria 0 No 1 Yes 8 Don't know 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 NA - Received Vitamin A dose in first 2 months after delivery 0 No 1 Yes 8 Don't know NA - Given child anything other than breast milk 0 No 1 Yes NA - First 3 days, given milk (other than breast milk) 0 No 1 Yes NA - First 3 days, given plain water 0 No 1 Yes NA - First 3 days, given sugar/glucose water 0 No 1 Yes NA - First 3 days, given gripe water 0 No 1 Yes NA - First 3 days, given sugar/salt solution 0 No 1 Yes NA - First 3 days, given fruit juice 0 No 1 Yes NA - First 3 days, given infant formula 0 No 1 Yes NA - First 3 days, given tea/infusions 0 No 1 Yes NA - First 3 days, given honey 0 No 1 Yes NA - First 3 days, given coffee 0 No 1 Yes NA - First 3 days, given country specific 0 No 1 Yes NA - First 3 days, given country specific 0 No 1 Yes NA - First 3 days, given country specific 0 No 1 Yes NA - First 3 days, given country specific 0 No 1 Yes NA - First 3 days, given country specific 0 No 1 Yes NA - First 3 days, given other 0 No 1 Yes NA - First 3 days, given nothing 0 No: given something 1 Yes: given nothing NA - Antenatal care: respondent's home 0 No 1 Yes NA - Antenatal care: other home 0 No 1 Yes NA - Antenatal care: CS home 0 No 1 Yes NA - Antenatal care: CS home 0 No 1 Yes NA - Antenatal care: government hospital 0 No 1 Yes NA - Antenatal care: CS public health 0 No 1 Yes NA - Antenatal care: CS public health 0 No 1 Yes NA - Antenatal care: CS public health 0 No 1 Yes NA - Antenatal care: CS public health 0 No 1 Yes NA - Antenatal care: CS public health 0 No 1 Yes NA - Antenatal care: CS public health 0 No 1 Yes NA - Antenatal care: CS public health 0 No 1 Yes NA - Antenatal care: private hospital/clinic 0 No 1 Yes NA - Antenatal care: CS private medical 0 No 1 Yes NA - Antenatal care: CS private medical 0 No 1 Yes NA - Antenatal care: CS private medical 0 No 1 Yes NA - Antenatal care: CS private medical 0 No 1 Yes NA - Antenatal care: CS private medical 0 No 1 Yes NA - Antenatal care: CS other 0 No 1 Yes NA - Antenatal care: CS other 0 No 1 Yes NA - Antenatal care: CS other 0 No 1 Yes NA - Antenatal care: CS other 0 No 1 Yes NA - Antenatal care: other 0 No 1 Yes NA - Drugs for intestinal parasites during pregnancy 0 No 1 Yes 8 Don't know NA - Time spent at place of delivery 100 Hours: 0 101 Hours: 1 199 Hours: number missing 201 Days: 1 299 Days: number missing 301 Weeks: 1 399 Weeks: number missing 998 Don't know NA - Respondent's health checked before discharge 0 No 1 Yes 8 Don't know NA - How long before discharging respondent health check took place 100 Zero hours 201 One day 301 One week 998 DK NA - Who checked respondent health before discharge 10 HEALTH PERSONNEL 11 Doctor 12 Nurse, midwife 13 Auxiliary midwife 20 OTHER PERSON 21 Traditional birth attendant 22 Community/village health worker 96 Other NA - Reason didn't deliver at health facility: cost too much 0 No 1 Yes NA - Reason didn't deliver at health facility: facility not open 0 No 1 Yes NA - Reason didn't deliver at health facility: too far/no transport 0 No 1 Yes NA - Reason didn't deliver at health facility: don't trust facility/poor service 0 No 1 Yes NA - Reason didn't deliver at health facility: no female provider 0 No 1 Yes NA - Reason didn't deliver at health facility: husband/family didn't allow 0 No 1 Yes NA - Reason didn't deliver at health facility: not necessary 0 No 1 Yes NA - Reason didn't deliver at health facility: not customary 0 No 1 Yes NA - Reason didn't deliver at health facility: CS 0 No 1 Yes NA - Reason didn't deliver at health facility: CS 0 No 1 Yes NA - Reason didn't deliver at health facility: CS 0 No 1 Yes NA - Reason didn't deliver at health facility: CS 0 No 1 Yes NA - Reason didn't deliver at health facility: other 0 No 1 Yes NA - Respondent's health checked after discharge/delivery at home 0 No 1 Yes 8 Don't know NA - How long after discharge/delivery at home respondent health check took plac 100 Zero hours 201 One day 301 One week 998 DK NA - Who checked respondent health after discharge/delivery at home 10 HEALTH PERSONNEL 11 Doctor 12 Nurse, midwife 13 Auxiliary midwife 20 OTHER PERSON 21 Traditional birth attendant 22 Community/village health worker 96 Other NA - Where respondent check after discharge/delivery at home took place 10 HOME 11 Respondent's home 12 Other home 20 PUBLIC SECTOR 21 Government hospital 22 Government health center 23 Government health post 26 Other public 30 PRIVATE MEDICAL SECTOR 31 Private hospital, clinic 36 Other private medical 96 Other NA - Baby postnatal check within 2 months 0 No 1 Yes 8 Don't know NA - Time after delivery postnatal check took place 100 Immediately/in first hour 101 Hours: 1 199 Hours: number missing 201 Days: 1 299 Days: number missing 301 Weeks: 1 399 Weeks: number missing 998 Don't know NA - Person who performed postnatal checkup 10 MEDICAL PERSONNEL 11 Doctor 12 Nurse, midwife 13 Auxiliary midwife 20 OTHER PERSON 21 Traditional birth attendant 22 Community/village health worker 96 Other NA - Place baby was first checked 10 HOME 11 Respondent's home 12 Other home 20 PUBLIC SECTOR 21 Government hospital 22 Government health center 23 Government health post 26 Other public sector 30 PRIVATE SECTOR 31 Private hospital, clinic 36 Other private sector 96 Other NA - Child's health checked before discharge 0 No 1 Yes 8 Don't know NA - How long before discharging child health check took place 100 Zero hours 201 One day 301 One week 998 DK NA - Who checked child health before discharge 10 HEALTH PERSONNEL 11 Doctor 12 Nurse, midwife 13 Auxiliary midwife 20 OTHER PERSON 21 Traditional birth attendant 22 Community/village health worker 96 Other NA - Was child put on mother's bare skin after birth 0 No 1 Yes 8 Don't know NA - During first 2 days health provider: examine cord 0 No 1 Yes 8 Don't know NA - During first 2 days health provider: measure temperature 0 No 1 Yes 8 Don't know NA - During first 2 days health provider: counsel on newborn dangers 0 No 1 Yes 8 Don't know NA - During first 2 days health provider: counsel on breastfeeding 0 No 1 Yes 8 Don't know NA - During first 2 days health provider: observe breastfeeding 0 No 1 Yes 8 Don't know NA - During first 2 days health provider: CS 0 No 1 Yes 8 Don't know NA - During first 2 days health provider: CS 0 No 1 Yes 8 Don't know NA - During first 2 days health provider: CS 0 No 1 Yes 8 Don't know NA - During first 2 days health provider: CS 0 No 1 Yes 8 Don't know NA - During first 2 days health provider: CS 0 No 1 Yes 8 Don't know Case Identification Case Identification NA - Last birth a caesarean section 0 No 1 Yes NA - Currently breastfeeding 0 No 1 Yes NA - Currently amenorrheic 0 No 1 Yes NA - Currently abstaining 0 No 1 Yes NA - Number of times breastfed during night 96 On demand NA - Number of times breastfed during day 96 On demand NA - Gave child plain water 0 No 1 Yes 8 Don't know NA - Gave child sugar water 0 No 1 Yes 8 Don't know NA - Gave child juice 0 No 1 Yes 8 Don't know NA - Gave child tea or coffee 0 No 1 Yes 8 Don't know NA - Gave child tinned, powdered or fresh milk 0 No 1 Yes 8 Don't know NA - Gave child baby formula 0 No 1 Yes 8 Don't know NA - Gave child fresh milk 0 No 1 Yes 8 Don't know NA - Gave child fortified baby food (cerelac, etc) 0 No 1 Yes 8 Don't know NA - Gave child other porridge/gruel 0 No 1 Yes 8 Don't know NA - Gave child soup/clear broth 0 No 1 Yes 8 Don't know NA - Gave child other liquid 0 No 1 Yes 8 Don't know NA - Gave child CS liquid 0 No 1 Yes 8 Don't know NA - Gave child CS liquid 0 No 1 Yes 8 Don't know NA - Gave child CS liquid 0 No 1 Yes 8 Don't know NA - Gave child CS liquid 0 No 1 Yes 8 Don't know NA - Gave child CS foods 0 No 1 Yes 8 Don't know NA - Gave child CS foods 0 No 1 Yes 8 Don't know NA - Gave child CS foods 0 No 1 Yes 8 Don't know NA - Gave child CS foods 0 No 1 Yes 8 Don't know NA - Gave child bread, noodles, other made from grains 0 No 1 Yes 8 Don't know NA - Gave child potatoes, cassava, or other tubers 0 No 1 Yes 8 Don't know NA - Gave child eggs 0 No 1 Yes 8 Don't know NA - Gave child meat (beef, pork, lamb, chicken, etc) 0 No 1 Yes 8 Don't know NA - Gave child pumpkin, carrots, squash (yellow or orange inside) 0 No 1 Yes 8 Don't know NA - Gave child any dark green leafy vegetables 0 No 1 Yes 8 Don't know NA - Gave child mangoes, papayas, other vitamin A fruits 0 No 1 Yes 8 Don't know NA - Gave child any other fruits 0 No 1 Yes 8 Don't know NA - Gave child liver, heart, other organs 0 No 1 Yes 8 Don't know NA - Gave child fish or shellfish 0 No 1 Yes 8 Don't know NA - Gave child food made from beans, peas, lentils, nuts 0 No 1 Yes 8 Don't know NA - Gave child cheese, yogurt, other milk products 0 No 1 Yes 8 Don't know NA - Gave child oil, fats, butter, products made of them 0 No 1 Yes 8 Don't know NA - Gave child chocolates, sweets, candies, pastries, etc 0 No 1 Yes 8 Don't know NA - Gave child other solid-semisolid food 0 No 1 Yes 8 Don't know NA - Gave child CS foods 0 No 1 Yes 8 Don't know NA - Gave child CS foods 0 No 1 Yes 8 Don't know NA - Gave child yogurt 0 No 1 Yes 8 Don't know NA - Gave child CS foods 0 No 1 Yes 8 Don't know NA - Drank from bottle with nipple yesterday/last night 0 No 1 Yes 8 Don't know NA - Heard of oral rehydration 0 Never heard of 1 Used ORS 2 Heard of ORS NA - Entries in pregnancy and postnatal care roster NA - Entries in immunization roster NA - Entries in child health roster NA - Entries in height/weight roster NA - Measurer's code NA - Assistant measurer's code NA - When child put to breast 0 Immediately 100 Within first hour 101 Hours: 1 199 Hours: number missing 201 Days: 1 299 Days: number missing NA - Respondent's weight in kilograms (1 decimal) 9994 Not present 9995 Refused 9996 Other NA - Respondent's height in centimeters (1 decimal) 9994 Not present 9995 Refused 9996 Other NA - Height/Age percentile 9998 Flagged cases NA - Height/Age standard deviation 9998 Flagged cases NA - Height/Age percent ref. median 99998 Flagged cases NA - Weight/Height percent ref. median (DHS) 99998 Flagged cases NA - Weight/Height percent ref. median (Fog) 99998 Flagged cases NA - Weight/Height percent ref. median (WHO) 99998 Flagged cases NA - Weight/Height standard deviation (DHS) 9998 Flagged cases NA - Body Mass Index 9998 Flagged cases NA - Rohrer's index 9998 Flagged cases NA - Result of measurement - height/weight 0 Measured 3 Not present 4 Refused 6 Other 7 No measurement found in household NA - Women's age in years (from household questionnaire) NA - Under age 18 (from household questionnaire) 1 Under age 18 2 Age 18 or older NA - Line number of parent/caretaker 0 Not in household NA - Read consent statement - hemoglobin 1 Granted 2 Parent/other refused 3 Respondent refused NA - Hemoglobin level (g/dl - 1 decimal) NA - Currently pregnant (from household questionnaire) 0 No/don't know 1 Yes NA - Result of measurement - hemoglobin 0 Measured 3 Not present 4 Refused 6 Other 7 No measurement found in household NA - Hemoglobin level adjusted for altitude and smoking (g/dl - 1 decimal) NA - Anemia level 1 Severe 2 Moderate 3 Mild 4 Not anemic NA - Agrees to referral - anemia 0 No 1 Yes Have mosquito bed net for sleeping (from household questionnaire) 0 No 1 Yes Children under 5 slept under mosquito bed net last night (household questionnair 0 No 1 All children 2 Some children 3 No net in household Respondent slept under mosquito bed net 0 No 1 Yes NA - Washed hands before preparing last meal 0 No 1 Yes 2 Never prepared meal NA - Smokes cigarettes 0 No 1 Yes NA - Smokes pipe full of tobacco 0 No 1 Yes NA - Chews tobacco 0 No 1 Yes NA - Snuffs by nose 0 No 1 Yes NA - Smokes kreteks 0 No 1 Yes NA - Smokes cigars, cheroots or cigarillos 0 No 1 Yes NA - Smokes water pipe 0 No 1 Yes NA - Snuff by mouth 0 No 1 Yes NA - Chews betel quid with tobacco 0 No 1 Yes NA - Smokes country specific 0 No 1 Yes NA - Smokes country specific 0 No 1 Yes NA - Smokes country specific 0 No 1 Yes NA - Smokes other 0 No 1 Yes NA - Does not use cigarettes and tobacco 0 No 1 Yes, smokes nothing NA - Frequency smokes cigarettes 0 Do not smokes 1 Every day 2 Some days NA - Frequency currently uses other type of tobacco 0 Do not smoke 1 Every day 2 Some days NA - Number of cigarettes in last 24 hours 80 80+ 98 Don't know NA - Disposal of youngest child's stools when not using toilet 1 Used toilet/latrine 2 Put/rinsed in toilet/latrine 3 Put/rinsed into drain or ditch 4 Throw into garbage 5 Buried 6 Rinse away 7 Use disposable diapers 8 Use washable diapers 9 Left in the open/not disposed of 96 Other NA - When child is seriously ill, can decide whether medical treatment sought 0 No 1 Yes 2 Depends NA - Getting medical help for self: know where to go 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: getting permission to go 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: getting money needed for treatment 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: distance to health facility 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: having to take transport 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: not wanting to go alone 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: concern no female health provider 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: concern no provider 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: concern no drugs available 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: CS 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: CS 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: CS 0 No problem 1 Big problem 2 Not a big problem NA - Getting medical help for self: CS 0 No problem 1 Big problem 2 Not a big problem NA - Record for Last Birth 0 See specific questions 1 Last birth only 2 All births in last 5 years NA - Times gave child powdered/tinned/fresh milk 0 No 7 7+ 8 DK NA - Times gave child infant formula 0 No 7 7+ 8 DK NA - Times gave child yogurt 0 No 7 7+ 8 DK NA - Mother had tinned, powdered or fresh milk 0 No 1 Yes 8 Don't know NA - Mother had tea or coffee 0 No 1 Yes 8 Don't know NA - Mother had any other liquid 0 No 1 Yes 8 Don't know NA - Mother had CS liquid 0 No 1 Yes 8 Don't know NA - Mother had CS liquid 0 No 1 Yes 8 Don't know NA - Mother had CS liquid 0 No 1 Yes 8 Don't know NA - Mother had CS liquid 0 No 1 Yes 8 Don't know NA - Mother had CS foods 0 No 1 Yes 8 Don't know NA - Mother had CS foods 0 No 1 Yes 8 Don't know NA - Mother had CS foods 0 No 1 Yes 8 Don't know NA - Mother had CS foods 0 No 1 Yes 8 Don't know NA - Mother had bread, noodles, other made from grains 0 No 1 Yes 8 Don't know NA - Mother had potatoes, cassava, or other tubers 0 No 1 Yes 8 Don't know NA - Mother had eggs 0 No 1 Yes 8 Don't know NA - Mother had meat (beef, pork, lamb, chicken, etc) 0 No 1 Yes 8 Don't know NA - Mother had pumpkin, carrots, squash (yellow or orange inside) 0 No 1 Yes 8 Don't know NA - Mother had any dark green leafy vegetables 0 No 1 Yes 8 Don't know NA - Mother had mangoes, papayas, other vitamin A fruits 0 No 1 Yes 8 Don't know NA - Mother had any other fruits 0 No 1 Yes 8 Don't know NA - Mother had liver, heart, other organs 0 No 1 Yes 8 Don't know NA - Mother had fish or shellfish 0 No 1 Yes 8 Don't know NA - Mother had food made from beans, peas, lentils, nuts 0 No 1 Yes 8 Don't know NA - Mother had cheese, yogurt, other milk products 0 No 1 Yes 8 Don't know NA - Mother had oil, fats, butter, products made of them 0 No 1 Yes 8 Don't know NA - Mother had chocolates, sweets, candies, pastries, etc 0 No 1 Yes 8 Don't know NA - Mother had other solid-semisolid food 0 No 1 Yes 8 Don't know NA - Mother had CS foods 0 No 1 Yes 8 Don't know NA - Mother had CS foods 0 No 1 Yes 8 Don't know NA - Read consent statement - HIV 1 Granted 2 Parent/other responsible refused 3 Respondent refused 4 Adult/parent not present 5 Minor not present 6 Sample not tested/lost/not enough DBS NA - Result of measurement - HIV 1 Blood taken 2 Not present 3 Refused 4 Sample not tested/lost/damaged/insufficient 5 Not enough DBS to complete protocol 6 Other NA - Heard of tuberculosis or TB 0 No 1 Yes NA - Tuberculosis spread by: air when coughing or sneezing 0 No 1 Yes NA - Tuberculosis spread by: sharing utensils 0 No 1 Yes NA - Tuberculosis spread by: touching a person with TB 0 No 1 Yes NA - Tuberculosis spread by: food 0 No 1 Yes NA - Tuberculosis spread by: sexual contact 0 No 1 Yes NA - Tuberculosis spread by: mosquito bites 0 No 1 Yes NA - Tuberculosis spread by: CS 0 No 1 Yes NA - Tuberculosis spread by: CS 0 No 1 Yes NA - Tuberculosis spread by: CS 0 No 1 Yes NA - Tuberculosis spread by: CS 0 No 1 Yes NA - Tuberculosis spread by: other 0 No 1 Yes NA - Tuberculosis spread by: don't know 0 No 1 Yes NA - Tuberculosis can be cured 0 No 1 Yes 8 Don't know NA - Keep secret when family member gets TB 0 No 1 Yes, remain a secret 8 Don't know/not sure/depends NA - Number of injections in last 12 months 0 None 90 90+ 98 Don't know NA - Number of injections administered by a health worker 0 None 90 90+ 98 Don't know NA - Place of injection by health worker 10 PUBLIC SECTOR 11 Government hospital 12 Government health center 16 Other public sector 20 PRIVATE SECTOR 21 Private hospital/clinic/doctor 22 Dental clinic/office 23 Pharmacy 24 Office or home of nurse/health worker 26 Other private sector 30 OTHER NON-MEDICAL 31 Respondent's home 96 Other NA - Syringe and needle from new, unopened package 0 No 1 Yes 8 Don't know NA - Covered by health insurance 0 No 1 Yes NA - Health insurance type: mutual/community organization 0 No 1 Yes NA - Health insurance type: provided by employer 0 No 1 Yes NA - Health insurance type: social security 0 No 1 Yes NA - Health insurance type: private/commercially purchased 0 No 1 Yes NA - Health insurance type: CS 0 No 1 Yes NA - Health insurance type: CS 0 No 1 Yes NA - Health insurance type: CS 0 No 1 Yes NA - Health insurance type: CS 0 No 1 Yes NA - Health insurance type: other 0 No 1 Yes NA - Arrange care of biological children under age 18 0 No 1 Yes 8 Unsure NA - Primary caregiver of children under age 18 0 No 1 Yes NA - Arrange care of non-biological children < 18 0 No 1 Yes 8 Unsure Case Identification Case Identification Index to Birth History Child's age in months NA - Child's weight in kilograms (1 decimal) 9994 Not present 9995 Refused 9996 Other NA - Child's height in centimeters (1 decimal) 9994 Not present 9995 Refused 9996 Other NA - Height/Age percentile 9998 Flagged cases NA - Height/Age standard deviation 9998 Flagged cases NA - Height/Age percent of ref. median 99998 Flagged cases NA - Weight/Age percentile 9998 Flagged cases NA - Weight/Age standard deviation 9998 Flagged cases NA - Weight/Age percent of ref. median 99998 Flagged cases NA - Weight/Height percentile 9998 Flagged cases NA - Weight/Height standard deviation 9998 Flagged cases NA - Weight/Height percent of ref. median 99998 Flagged cases NA - Result of measurement - height/weight 0 Measured 1 Dead 2 Sick 3 Not present 4 Refused 5 Mother refused 6 Other 7 No measurement found in household NA - Height: lying or standing 0 Not measured 1 Lying 2 Standing Day of birth of child 97 Inconsistent 98 Don't know Date measured (day) Date measured (month) Date measured (year) Line number of parent/caretaker 0 Not in household Read consent statement - hemoglobin 1 Granted 2 Refused 3 Not present/other Hemoglobin level (g/dl - 1 decimal) 994 Not present 995 Refused 996 Other Result of measurement - hemoglobin 0 Measured 1 Dead 3 Not present 4 Refused 6 Other 7 No measurement found in household Hemoglobin level adjusted for altitude (g/dl - 1 decimal) 997 Inconsistent Anemia level 1 Severe 2 Moderate 3 Mild 4 Not anemic NA - Agrees to referral - anemia 0 No 1 Yes NA - Height/Age standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases NA - Weight/Age standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases NA - Weight/Height standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases NA - BMI standard deviation (new WHO) 9996 Height out of plausible limits 9997 Age in days out of plausible limits 9998 Flagged cases Case Identification Case Identification Time interview started (hhmm - 24 hour clock) Time interview ended (hhmm - 24 hour clock) Length of interview in minutes 95 95+ 96 2+ visits 97 Inconsistent Number of visits Interviewer identification NA - Keyer identification NA - Presence of children < 10 for 'Wife beating justified' questions 0 No 1 Yes - listening 2 Yes - not listening NA - Presence of husband for 'Wife beating justified' questions 0 No 1 Yes - listening 2 Yes - not listening NA - Presence of other males for 'Wife beating justified' questions 0 No 1 Yes - listening 2 Yes - not listening NA - Presence of other females for 'Wife beating justified' questions 0 No 1 Yes - listening 2 Yes - not listening NA - Presence of children < 10 during sexual activity section 0 No 1 Yes NA - Presence of male adults during sexual activity section 0 No 1 Yes NA - Presence of female adults during sexual activity section 0 No 1 Yes Case Identification Case Identification District Transmission Zones 1 Equatorial 2 Tropical 3 Sub-desert 4 High Plateau Intervention zones 1 Endemic zone 2 Non-endemic zone Operational Zones 1 East 2 West 3 South 4 High Central Lands 5 Margin Highest educational level 1 Primary 2 Secondary 1 3 Secondary 2 4 Higher Highest grade/form/year at that level 0 Less than 1 year 8 Don't know Household has: mobile telephone 0 No 1 Yes 7 Not a de jure resident Household has: watch 0 No 1 Yes 7 Not a de jure resident Household has: animal-drawn cart 0 No 1 Yes 7 Not a de jure resident Household has: boat with a motor 0 No 1 Yes 7 Not a de jure resident Household has: a computer 0 No 1 Yes 7 Not a de jure resident Heard or received messages about malaria in past 6 months 0 No 1 Yes Received malaria messages via: radio 0 No 1 Yes Received malaria messages via: television 0 No 1 Yes Received malaria messages via: poster 0 No 1 Yes Received malaria messages via: from community health worker 0 No 1 Yes Received malaria messages via: community event 0 No 1 Yes Received malaria messages via: other place 0 No 1 Yes Number of births in 2011-2016 0 None Urgency to seek help when child has fever 1 Extremely urgent 2 Very urgent 3 A little urgnet 4 Not at all urgent Treat fever first with herbal medicines 1 Completely agree 2 Somewhat agree 3 Somewhat disagree 4 Totally disagree Treatment for fever is affordable 1 Very affordable 2 Affordable 3 Not affordable 4 Not at all affordable Antimalarials are available 1 Always available 2 Sometimes available 3 Rarely available 4 Never available Keep drugs stocked for future use 0 No 1 Yes Case Identification Case Identification Index to Birth History Has health book 0 Doesn't have book 1 Has book, not seen 2 Has book, no information on ANC 3 Has book with ANC information Months pregnant at first ANC appointment 98 Don't know Number of ANC visits 98 Don't know Took iron tablets or syrup during pregnancy 0 No 1 Yes 8 Don't know Number of doses of iron supplements 95 95+ 98 Don't know Months pregnant when first took SP/Fansidar 98 Don't know Case Identification Case Identification Index to Birth History Days ago fever started 98 Don't know Result of finger/heel prick test 1 Positive 2 Negative 3 No result 8 Don't know Cost of treatment for fever (Malagasy Ariary) 0 Free/no charge 99998 Don't know Number of doses per day: ACTs 7 7+ Number of doses per day: SP/Fansidar 7 7+ Number of doses per day: chloroquine 7 7+ Number of doses per day: amodiaquine 7 7+ Number of doses per day: quinine 7 7+ Number of doses per day: other antimalarial 7 7+ 8 Don't know Child took full prescription 0 No 1 Yes 8 Don't know Reason didn't take full prescription 1 In the middle of course of treatment 2 Child's health improved and didn't need all drugs 6 Other reason 8 Don't know Symptoms of malaria: high fever 0 No 1 Yes 8 Don't know Symptoms of malaria: anemia 0 No 1 Yes 8 Don't know Symptoms of malaria: extreme weakness 0 No 1 Yes 8 Don't know Symptoms of malaria: loss of consciousness 0 No 1 Yes 8 Don't know Symptoms of malaria: severe respiratory failure 0 No 1 Yes 8 Don't know Symptoms of malaria: convulsions 0 No 1 Yes 8 Don't know Symptoms of malaria: abnormal bleeding 0 No 1 Yes 8 Don't know Symptoms of malaria: jaundice 0 No 1 Yes 8 Don't know Symptoms of malaria: dark urine 0 No 1 Yes 8 Don't know Symptoms of malaria: vomiting 0 No 1 Yes 8 Don't know Symptoms of malaria: refusal to eat or drink 0 No 1 Yes 8 Don't know Already hospitalized for severe malaria 0 No 1 Yes 8 Don't know Number of days hospitalized 7 7+ 8 Don't know Case Identification Case Identification Ways to contract malaria: poor environmental hygiene 0 No 1 Yes Ways to contract malaria: mosquito bites 0 No 1 Yes Ways to contract malaria: not taking preventative medication 0 No 1 Yes Ways to contract malaria: physical fatigue 0 No 1 Yes Ways to contract malaria: direct exposure to sunlight while working 0 No 1 Yes Ways to contract malaria: staying out in the rain 0 No 1 Yes Ways to contract malaria: sudden changes in climate 0 No 1 Yes Ways to contract malaria: malnutrition 0 No 1 Yes Ways to contract malaria: eating fruit 0 No 1 Yes Ways to contract malaria: poor personal hygiene 0 No 1 Yes Ways to contract malaria: in the bush 0 No 1 Yes Ways to contract malaria: other 0 No 1 Yes Ways to contract malaria: don't know 0 No 1 Yes Main symptom of malaria 11 Fever 12 Loss of appetite/vomiting 13 Fever with convulsions 14 Fever with fainting 15 Persistant fever 16 Convulsions 17 Jaundice 18 Chills/cold 19 Headache 96 Other 98 Don't know Ways to prevent malaria: sleep under a net 0 No 1 Yes Ways to prevent malaria: sleep under a treated net 0 No 1 Yes Ways to prevent malaria: sleep under a treated net every night 0 No 1 Yes Ways to prevent malaria: take anti-malarials 0 No 1 Yes Ways to prevent malaria: take SP/Fansidar when pregnant 0 No 1 Yes Ways to prevent malaria: use insecticide 0 No 1 Yes Ways to prevent malaria: use mosquito coils 0 No 1 Yes Ways to prevent malaria: avoid getting cold 0 No 1 Yes Ways to prevent malaria: avoid direct sunlight 0 No 1 Yes Ways to prevent malaria: keep clean surroundings 0 No 1 Yes Ways to prevent malaria: IRS 0 No 1 Yes Ways to prevent malaria: other 0 No 1 Yes Ways to prevent malaria: don't know 0 No 1 Yes 0 No 1 Yes Most at risk for getting malaria: children 0 No 1 Yes Most at risk for getting malaria: pregnant women 0 No 1 Yes Most at risk for getting malaria: women 0 No 1 Yes Most at risk for getting malaria: men 0 No 1 Yes Most at risk for getting malaria: older people 0 No 1 Yes Most at risk for getting malaria: everybody 0 No 1 Yes Most at risk for getting malaria: other 0 No 1 Yes Most at risk for getting malaria: don't know/unsure 0 No 1 Yes Received messages about net campaign during Sept., Oct., Nov. 2015 0 No 1 Yes Received messages before campaign 0 No 1 Yes Received messages before campaign: home visits 0 No 1 Yes Received messages before campaign: group animations 0 No 1 Yes Received messages before campaign: sports radio/television 0 No 1 Yes Received messages before campaign: health center 0 No 1 Yes Received messages before campaign: at CPN 0 No 1 Yes Received messages before campaign: vaccination visits 0 No 1 Yes Received messages before campaign: other 0 No 1 Yes Received messages during campaign 0 No 1 Yes Received messages during campaign: home visits 0 No 1 Yes Received messages during campaign: group animations 0 No 1 Yes Received messages during campaign: sports radio/television 0 No 1 Yes Received messages during campaign: health center 0 No 1 Yes Received messages during campaign: at CPN 0 No 1 Yes Received messages during campaign: vaccination visits 0 No 1 Yes Received messages during campaign: other 0 No 1 Yes Received messages after campaign 0 No 1 Yes Received messages after campaign: home visits 0 No 1 Yes Received messages after campaign: group animations 0 No 1 Yes Received messages after campaign: sports radio/television 0 No 1 Yes Received messages after campaign: health center 0 No 1 Yes Received messages after campaign: at CPN 0 No 1 Yes Received messages after campaign: vaccination visits 0 No 1 Yes Received messages after campaign: other 0 No 1 Yes Which messages were received: where to get ITNs 0 No 1 Yes Which messages were received: when to get ITNs 0 No 1 Yes Which messages were received: the ITNs are free 0 No 1 Yes Which messages were received: how to hang the ITNs 0 No 1 Yes Which messages were received: how to maintain the ITNs 0 No 1 Yes Which messages were received: when to use ITNs 0 No 1 Yes Which messages were received: interest in getting ITNs 0 No 1 Yes Which messages were received: other 0 No 1 Yes Number of messages received in past 12 months about malaria 0 None 6 6 or more 8 Don't know Attended training about treatment of malaria from health agent in last 12 months 0 No 1 Yes Attended training about treatment of malaria from MVU in last 12 months 0 No 1 Yes Heard about treatment of malaria on radio in last 12 months 0 No 1 Yes Watched something about treatment of malaria on television in last 12 months 0 No 1 Yes Saw something about treatment of malaria in journal or magazine in last 12 month 0 No 1 Yes Messages about treatment of malaria in last 12 months: use ACTs 0 No 1 Yes Messages about treatment of malaria in last 12 months: cost of treatment 0 No 1 Yes Messages about treatment of malaria in last 12 months: availability of treatment 0 No 1 Yes Messages about treatment of malaria in last 12 months: efficacy of treatment 0 No 1 Yes Messages about treatment of malaria in last 12 months: other messages 0 No 1 Yes Attended training about prevention of malaria from health agent in last 12 month 0 No 1 Yes Attended training about prevention of malaria from MVU in last 12 months 0 No 1 Yes Heard about prevention of malaria on radio in last 12 months 0 No 1 Yes Watched something about prevention of malaria on television in last 12 months 0 No 1 Yes Saw something about prevention of malaria in journal or magazine in last 12 mont 0 No 1 Yes Messages about distribution campaign in last 12 months: where to get ITN 0 No 1 Yes Messages about distribution campaign in last 12 months: when to get ITN 0 No 1 Yes Messages about distribution campaign in last 12 months: ITN is free 0 No 1 Yes Messages about distribution campaign in last 12 months: how to hang ITN 0 No 1 Yes Messages about distribution campaign in last 12 months: how to maintain ITN 0 No 1 Yes Messages about distribution campaign in last 12 months: when to use ITN 0 No 1 Yes Messages about distribution campaign in last 12 months: interest in getting ITN 0 No 1 Yes Messages about distribution campaign in last 12 months: other messages about ITN 0 No 1 Yes Messages about prevention of malaria in last 12 months: stay outside house after 0 No 1 Yes Messages about prevention of malaria in last 12 months: IRS is not hazardous to 0 No 1 Yes Messages about prevention of malaria in last 12 months: precautions to take with 0 No 1 Yes Messages about prevention of malaria in last 12 months: other messages about IRS 0 No 1 Yes Messages about prevention for pregnant women in last 12 months: using ITP 0 No 1 Yes Messages about prevention for pregnant women in last 12 months: using ITN while 0 No 1 Yes Messages about prevention for pregnant women in last 12 months: other messages 0 No 1 Yes Attended sensitization about malaria in a public place in last 12 months 0 No 1 Yes 8 Don't know Subject of sensitization: ITNs 0 No 1 Yes 8 Don't know Subject of sensitization: distribution campaign 0 No 1 Yes 8 Don't know Subject of sensitization: ITP for pregnant women 0 No 1 Yes 8 Don't know Subject of sensitization: other malaria prevention topic 0 No 1 Yes 8 Don't know Subject of sensitization: seek care quickly for fever for children under 5 0 No 1 Yes 8 Don't know Subject of sensitization: use of rapid diagnostic tests 0 No 1 Yes 8 Don't know Subject of sensitization: use of ACTs for treatment 0 No 1 Yes 8 Don't know Subject of sensitization: other messages 0 No 1 Yes 8 Don't know Community health worker came to house in past 12 months for malaria info 0 No 1 Yes 8 Don't know Subject of CHW visit: ITNs 0 No 1 Yes 8 Don't know Subject of CHW visit: distribution campaign 0 No 1 Yes 8 Don't know Subject of CHW visit: ITP for pregnant women 0 No 1 Yes 8 Don't know Subject of CHW visit: other malaria prevention topic 0 No 1 Yes 8 Don't know Subject of CHW visit: seek care quickly for fever for children under 5 0 No 1 Yes 8 Don't know Subject of CHW visit: use of rapid diagnostic tests 0 No 1 Yes 8 Don't know Subject of CHW visit: use of ACTs for treatment 0 No 1 Yes 8 Don't know Subject of CHW visit: other messages 0 No 1 Yes 8 Don't know Attended event about fighting malaria in last 12 months 0 No 1 Yes 8 Don't know Type of event about fighting malaria: celebration of malaria day with known arti 0 No 1 Yes 8 Don't know Type of event about fighting malaria: puppet show 0 No 1 Yes 8 Don't know Type of event about fighting malaria: folklore show 0 No 1 Yes 8 Don't know Type of event about fighting malaria: sports tournaments 0 No 1 Yes 8 Don't know Type of event about fighting malaria: projection session at MVU 0 No 1 Yes 8 Don't know Type of event about fighting malaria: other 0 No 1 Yes 8 Don't know Know where to get antimalarials 0 No 1 Yes Where to treat child with fever 1 Health center 2 Community worker 3 Home 8 Don't know Where to treat pregnant woman with fever 1 Health center 2 Community worker 3 Home 8 Don't know Ever heard of: ACTipal 0 No 1 Yes Ever heard of: Larimal 0 No 1 Yes Ever heard of: Artemodi 0 No 1 Yes Ever heard of: Arsumoon 0 No 1 Yes Ever heard of: Falcimon 0 No 1 Yes Ever heard of: ACT 0 No 1 Yes Ever heard of: ACTm 0 No 1 Yes Ever heard of: ASAQ 0 No 1 Yes Most effective antimalarial for pregnant women 11 ACTipal 12 Larimal 13 Artemodi 14 Arsumoon 15 Falcimon 16 ACT 17 ACTm 18 ASAQ 19 Paracetamol 96 Other 98 Don't know Most effective antimalarial for children 11 ACTipal 12 Larimal 13 Artemodi 14 Arsumoon 15 Falcimon 16 ACT 17 ACTm 18 ASAQ 19 Paracetamol 96 Other 98 Don't know How can pregnant women avoid malaria: take 2 doses of ITP 0 No 1 Yes How can pregnant women avoid malaria: sleep under ITN 0 No 1 Yes How can pregnant women avoid malaria: ITP 0 No 1 Yes How can pregnant women avoid malaria: take three or more doses of ITP 0 No 1 Yes How can pregnant women avoid malaria: other 0 No 1 Yes How can pregnant women avoid malaria: don't know 0 No 1 Yes Where pregnant women can get SP/Fansidar during pregnancy 1 CSB 2 Hospital 6 Other 8 Don't know Friends/neighbors are encouraging of pregnant women taking SP 1 Totally agree 2 Agree 3 Disagree 4 Totally disagree Advantages to sleeping under ITNs: more effective against mosquitos 0 No 1 Yes Advantages to sleeping under ITNs: kill mosquitos/other insects 0 No 1 Yes Advantages to sleeping under ITNs: repel mosquitos/other insects 0 No 1 Yes Advantages to sleeping under ITNs: best for preventing malaria 0 No 1 Yes Advantages to sleeping under ITNs: best for preventing miscarriage 0 No 1 Yes Advantages to sleeping under ITNs: protect women against illness 0 No 1 Yes Advantages to sleeping under ITNs: save money because child isn't sick 0 No 1 Yes Advantages to sleeping under ITNs: preventing low birth weights 0 No 1 Yes Advantages to sleeping under ITNs: sleeping well 0 No 1 Yes Advantages to sleeping under ITNs: other 0 No 1 Yes Advantages to sleeping under ITNs: don't know 0 No 1 Yes Disadvantages to sleeping under ITNs: bad smell 0 No 1 Yes Disadvantages to sleeping under ITNs: irritation/cough 0 No 1 Yes Disadvantages to sleeping under ITNs: makes you sick 0 No 1 Yes Disadvantages to sleeping under ITNs: nausea 0 No 1 Yes Disadvantages to sleeping under ITNs: hazerdous chemical 0 No 1 Yes Disadvantages to sleeping under ITNs: cause stillborns/miscarriages 0 No 1 Yes Disadvantages to sleeping under ITNs: suffocating/difficulty breathing 0 No 1 Yes Disadvantages to sleeping under ITNs: using insecticide is not effective 0 No 1 Yes Disadvantages to sleeping under ITNs: net gets dirty quickly 0 No 1 Yes Disadvantages to sleeping under ITNs: not convenient 0 No 1 Yes Disadvantages to sleeping under ITNs: other 0 No 1 Yes Disadvantages to sleeping under ITNs: don't know 0 No 1 Yes Season should sleep under net 1 Dry season 2 Wet season 3 All year 8 Don't know Net for 3000 Malagasy ariary affordable 0 No 1 Yes 8 Don't know Frequency of conversations about malaria with friends 1 Often 2 Rarely 3 Never Importance of children sleeping under nets 1 Extremely important 2 Very important 3 A little important 4 Not important at all Frequency of using net for other uses 1 All the time 2 Sometimes 3 Rarely 4 Never 5 Never owned a mosquito net ITNs have negative effect on health 1 Totally agree 2 Agree 3 Disagree 4 Totally disagree Can hang mosquito net anywhere people sleep in home 1 Totally agree 2 Agree 3 Disagree 4 Totally disagree Can only get malaria in rainy season 1 Totally agree 2 Agree 3 Disagree 4 Totally disagree Source for mosquito net for family: health center II 0 No 1 Yes Source for mosquito net for family: health center I 0 No 1 Yes Source for mosquito net for family: private hospital/clinic 0 No 1 Yes Source for mosquito net for family: private health center 0 No 1 Yes Source for mosquito net for family: pharmacy/medicine shop 0 No 1 Yes Source for mosquito net for family: private doctor 0 No 1 Yes Source for mosquito net for family: community health worker 0 No 1 Yes Source for mosquito net for family: shop 0 No 1 Yes Source for mosquito net for family: kiosk 0 No 1 Yes Source for mosquito net for family: friends/family 0 No 1 Yes Source for mosquito net for family: fokotany/community 0 No 1 Yes Source for mosquito net for family: other 0 No 1 Yes Source for mosquito net for family: don't know 0 No 1 Yes Source for mosquito net for pregnant women: health center II 0 No 1 Yes Source for mosquito net for pregnant women: health center I 0 No 1 Yes Source for mosquito net for pregnant women: private hospital/clinic 0 No 1 Yes Source for mosquito net for pregnant women: private health center 0 No 1 Yes Source for mosquito net for pregnant women: pharmacy/medicine shop 0 No 1 Yes Source for mosquito net for pregnant women: private doctor 0 No 1 Yes Source for mosquito net for pregnant women: community health worker 0 No 1 Yes Source for mosquito net for pregnant women: shop 0 No 1 Yes Source for mosquito net for pregnant women: kiosk 0 No 1 Yes Source for mosquito net for pregnant women: friends/family 0 No 1 Yes Source for mosquito net for pregnant women: fokotany/community 0 No 1 Yes Source for mosquito net for pregnant women: other 0 No 1 Yes Source for mosquito net for pregnant women: don't know 0 No 1 Yes Case Identification Case Identification Index to Birth History Actipal taken for fever 0 No 1 Yes Larimal taken for fever 0 No 1 Yes Artemodi taken for fever 0 No 1 Yes Arsumoon taken for fever 0 No 1 Yes Falcimon taken for fever 0 No 1 Yes Other ASAQ taken for fever 0 No 1 Yes Coartem taken for fever 0 No 1 Yes Artefan taken for fever 0 No 1 Yes Lumartem taken for fever 0 No 1 Yes Other AL taken for fever 0 No 1 Yes Any ASAQ taken for fever 0 No 1 Yes Any AL taken for fever 0 No 1 Yes 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 Outreach visit 6 Other source NA - Child has fever/cough now 0 No 1 Yes, fever only 2 Yes, cough only 3 Both fever and cough 8 Don't know NA - Child has had convulsions in last 2 weeks 0 No 1 Yes 8 Don't know Fansidar taken for fever 0 No 1 Yes Chloroquine taken for fever 0 No 1 Yes Amodiaquine taken for fever 0 No 1 Yes Quinine taken for fever 0 No 1 Yes NA - Quinine injection/IV taken for fever 0 No 1 Yes Combination with artemisinin taken for fever 0 No 1 Yes NA - Artesunate rectal taken for fever 0 No 1 Yes NA - Artesunate injection/IV taken for fever 0 No 1 Yes NA - CS antimalarial taken for fever 0 No 1 Yes NA - CS antimalarial taken for fever 0 No 1 Yes Other antimalarial taken for fever 0 No 1 Yes Antibiotic pill/syrup taken for fever 0 No 1 Yes Antibiotic injection taken for fever 0 No 1 Yes Aspirin taken for fever 0 No 1 Yes Acetaminophen/paracetamol/panadol taken for fever 0 No 1 Yes Ibuprofen taken for fever 0 No 1 Yes Paracetamol taken for fever 0 No 1 Yes Medicinal plants 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 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 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 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 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 Number of days child took combination with artemisinin 7 7+ days 8 Don't know NA - First source for combination with artemisinin 0 Other source 1 At home 8 Don't know NA - Timing of start of CS antimalarial use 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took CS antimalarial 7 7+ days 8 Don't know NA - First source for CS antimalarial 0 Other source 1 At home 8 Don't know NA - Timing of start of CS antimalarial use 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took CS antimalarial 7 7+ days 8 Don't know NA - First source for CS antimalarial 0 Other source 1 At home 8 Don't know Timing of start of other antimalarial use 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know Number of days child took other anti-malarial 7 7+ days 8 Don't know NA - First source for other anti-malarial 0 Other source 1 At home 8 Don't know NA - First source for antibiotic pill/syrup 0 Other source 1 At home 8 Don't know NA - Timing of start of artesunate 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know