AGO_2011_MIS_v01_M DDI_AGO_2011_MIS_v01_M_WB Development Data Group 2014-01-23 Nesstar Publisher Version 01 (January 2014) Malaria Indicator Survey 2011 MIS 2011 AGO_2011_MIS_v01_M Consultoria de Servicos e Pesquisas–COSEP, Consultoria, Lda Consultoria de Gestao e Administracao em Saúde–Consaúde, Lda Ministry of Health National Malaria Control Program United States Agency for International Development ICF International Nesstar Publisher United States Agency for International Development President’s Malaria Initiative General Inquiries Data and Data Related Resources Demographic and Health Survey [hh/dhs] The 2011 Angola Malaria Indicator Survey (2011 AMIS) is the second survey of this type in the country and is conducted as part of the third phase of the MEASURE DHS project. Angola National The survey covered all de jure household members (usual residents), all women aged between 15-49 years, all children under age 5 living in the household. Sample survey data [ssd] Consultoria de Servicos e Pesquisas–COSEP, Consultoria, Lda Consultoria de Gestao e Administracao em Saúde–Consaúde, Lda Face-to-face [f2f] There is one supervisor for each of the 12 data collection teams in the field. Data entry started two weeks after the beginning of fieldwork. Twelve data entry operators were used, six in the morning and six in the afternoon. They were supervised by the data processing manager, the questionnaire organizer, and the questionnaire editor. Control tables with data on interviewer and team performance were assessed periodically, especially during the first two weeks of fieldwork. The tables helped identify mistakes some teams made at the beginning of fieldwork; these mistakes resulted in extra supervisory field visits. Once the data entry was finalized, a consultant verified completeness of the questionnaires and consistency betwen data entry and the initial results. MEASURE DHS The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. RECH0.NSDstat 8806 40 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 40600 41 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 8030 75 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 8806 17 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECH4.NSDstat 40600 4 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 3586 21 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECHM2.NSDstat 3586 8 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECHM3.NSDstat 3586 5 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 40600 10 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 4130 17 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECHMS.NSDstat 4130 10 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 8746 42 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 8589 56 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 22925 20 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 8589 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. REC41.NSDstat 5331 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. REC42.NSDstat 8589 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. REC43.NSDstat 8242 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. REC44.NSDstat 8242 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. REC81.NSDstat 8589 8 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 8242 41 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 8746 63 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 8242 6 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 8242 7 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 Ultimate area unit Sample weight Month of interview Year of interview Date of interview (CMC) Number of household members Number of eligible women in HH NA - Number of eligible men in HH Number of de jure members Number of de facto members Number of children 5 and under Result of household interview 1 Completed 2 HH present, no resp 3 HH absent 4 Postponed 5 Refused 6 Dwelling vacant 7 Dwelling destroyed 8 Dwelling not found 9 Other Day of interview Number of visits Interviewer identification Keyer identification Ever-married sample 0 All woman sample 1 Ever married sample Primary sampling unit Sample stratum number 1 Hiperendemica urban 2 Hiperendemica rural 3 Mesoendemica Estavel urban 4 Mesoendemica Estavel rural 5 Mesoendemica Instavel urban 6 Mesoendemica Instavel rural 7 Luanda urban 8 Luanda rural Sample stratum 1 Hiperendemica urban 2 Hiperendemica rural 3 Mesoendemica Estavel urban 4 Mesoendemica Estavel rural 5 Mesoendemica Instavel urban 6 Mesoendemica Instavel rural 7 Luanda urban 8 Luanda rural Region 1 Hiperendemica 2 Mesoendemica Estavel 3 Mesoendemica Instavel 4 Luanda Type of place of residence 1 Urban 2 Rural NA - Place of residence 0 Capital, large city 1 Small city 2 Town 3 Countryside NA - Selection for male/husb. int. 0 Not selected 1 Men's survey 2 Husband's survey NA - Sample weight for male subsamp Field supervisor Field editor Office editor NA - Ultimate area selection prob. Number of eligible children for height & weight Cluster altitude in meters NA - Total adults measured Selection for hemoglobin 0 Not selected 1 Selected NA - Selection for women's status module 0 Household not selected 1 Household selected NA - Selection for domestic violence module 0 Household not selected 1 Household selected 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 DK 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 96 96+ 98 DK NA - Highest educational level 0 No education, preschool 1 Primary 2 Secondary 3 Higher 8 DK NA - Highest year of education 98 DK NA - Education in single years 97 Inconsistent 98 DK NA - Educational attainment 0 No education 1 Incomplete primary 2 Complete primary 3 Incomplete secondary 4 Complete secondary 5 Higher 8 DK NA - Member still in school 0 No 1 Yes NA - Mother alive 0 No 1 Yes 8 DK NA - Mother's line number 0 Mother not in HH NA - Father alive 0 No 1 Yes 8 DK NA - Father's line number 0 Father not in HH NA - Current marital status 0 Never married 1 Married 2 Living together 3 Widowed 4 Divorced 5 Not living together NA - Currently, formerly, never m. 0 Never married 1 Currently married 2 Formerly/ever marr. 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 DK NA - Grade of education during current school year 98 DK NA - Education in single years - current school year 97 Inconsistent 98 DK 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 DK NA - Grade of education during previous school year 98 DK NA - Education in single years - previous school year 97 Inconsistent 98 DK NA - School attendance status 0 Never attended 1 Entered school 2 Advanced 3 Repeating 4 Dropout 5 Left school 2+ years ago 8 DK NA - Member has been very sick for 3+ months last year 0 No 1 Yes 8 DK NA - Mother has been very sick for 3+ months last year 0 No 1 Yes 8 DK NA - Father has been very sick for 3+ months last year 0 No 1 Yes 8 DK NA - Mother/father dead or been very sick for 3+ months 0 No 1 Yes NA - Both parents alive 0 No 1 Yes NA - Has brothers/sisters under 18 of the same father and mother 0 No 1 Yes 8 DK NA - Brothers/sisters under 18 that don't live in household 0 No 1 Yes NA - Member has a blanket 0 No 1 Yes 8 DK NA - Member has a pair of shoes 0 No 1 Yes 8 DK NA - Member has 2+ sets of clothes 0 No 1 Yes 8 DK NA - Member has a birth certificate 0 Neither certificate or registered 1 Has certificate 2 Registered 8 DK Case Identification Source of drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 Public tap/standpipe 20 TUBE WELL WATER 21 Tube well or borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE WATER 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irirgation 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 Public tap/standpipe 20 TUBE WELL WATER 21 Tube well or borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE WATER 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irirgation channel 51 Rainwater 61 Tanker truck 62 Cart with small tank 71 Bottled water 96 Other NA - Time to get to water source 996 On premises Type of toilet facility 10 FLUSH TOILET 11 Piped sewage system 12 Septic tank 13 Slit latrine 14 Other place 15 Water flow do not know where 20 PIT TOILET LATRINE 21 Ventilated improved (VIP) 22 Cemented with sink 23 Without cement sink 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 Clay / Sand 12 Dung 20 RUDIMENTARY 21 Tablets / Wood Planks 22 Straw / Palm / Bamboo 30 FINISHED 31 Parquet / Wood Polished 32 Linoleum / Vinyl 33 Ceramic / Mosaic / Tiles 34 Cement 35 Carpet 96 Other Main wall material 10 NATURAL 20 RUDIMENTARY 21 Straw /mats 22 Cardboard/plastic 23 Sticks and mud 24 Blocks of clay 25 Canes/palms/trunks 26 Used wood 30 FINISHED 31 Concrete or stone blocks 32 Bricks 33 Wooden plank 96 Other Main roof material 10 NATURAL 20 RUDIMENTARY 21 Palm / Bamboo / Mat 22 Wood planks 23 Tarpaulin /plastic 30 FINISHED 31 Zinc, metal 32 Asbestos shingles 33 Ceramic tiles 34 Concrete cement 96 Other Rooms used for sleeping Relationship structure 0 No adults 1 One adult 2 Two adults, opp. sex 3 Two adults, same sex 4 Three+ related adult 5 Unrelated adults Line number of head of househ. Sex of head of household 1 Male 2 Female Age of head of household 96 96+ 98 DK NA - Has a landline telephone 0 No 1 Yes NA - Share toilet with other households 0 No 1 Yes Type of cooking fuel 1 Electricity 2 LPG, natural gas 4 Biogas 5 Kerosene 6 Coal, lignite 7 Charcoal 8 Firewood 9 Straw / shrubs / grass 10 Agricultural crop 11 Animal dung 95 No food cooked in HH 96 Other Have bednet for sleeping 0 No 1 Yes Children under 5 slept under bednet last night 0 No 1 All children 2 Some children 3 No bednet in HH NA - Test salt for Iodine 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 - 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 NA - Anything done to water to make safe to drink 0 No 1 Yes 8 Don't know NA - Water usually treated by: boil 0 No 1 Yes 8 Don't know NA - Water usually treated by: add bleach/chlorine 0 No 1 Yes 8 Don't know NA - Water usually treated by: strain through a cloth 0 No 1 Yes 8 Don't know NA - Water usually treated by: use water filter 0 No 1 Yes 8 Don't know NA - Water usually treated by: solar disinfection 0 No 1 Yes 8 Don't know NA - 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 NA - Water usually treated by: other 0 No 1 Yes 8 Don't know NA - Water usually treated by: don't know 0 No 1 Yes 8 Don't know NA - Number of households sharing toilet 95 10 or more households 98 Don't know 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 / in 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 a mobile telephone 0 No 1 Yes Has a watch 0 No 1 Yes NA - Has an animal-drawn cart 0 No 1 Yes Has a boat with a motor 0 No 1 Yes NA - Own land usable for agriculture 0 No 1 Yes NA - Hectares for agricultural land 95 More than 95 98 Unknown NA - Livestock, herds or farm animals 0 No 1 Yes NA - Cattle own 0 None 95 More than 95 98 Unknown NA - Cows, bulls own 0 None 95 More than 95 98 Unknown NA - Horses, donkeys, mules own 0 None 95 More than 95 98 Unknown NA - Goats own 0 None 95 More than 95 98 Unknown NA - Sheep own 0 None 95 More than 95 98 Unknown NA - Chickens own 0 None 95 More than 95 98 Unknown NA - CS own 0 None 95 More than 95 98 Unknown NA - CS own 0 None 95 More than 95 98 Unknown NA - CS own 0 None 95 More than 95 98 Unknown NA - CS own 0 None 95 More than 95 98 Unknown NA - CS own 0 None 95 More than 95 98 Unknown NA - Owns a bank account 0 No 1 Yes NA - Number of sick people 18-59 NA - Member of the HH died last 12 months 0 No 1 Yes 8 DK 9 Missing NA - Number of members who died last 12 months 8 DK NA - Number of orphans and vulnerable children Wealth index 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score (5 decimals) Number of mosquito nets 98 Don't know Number of mosquito nets with specific information Number of children under bednet previous night Case Identification Province 1 Cabinda 2 Zaire 3 Uige 4 Luanda 5 Kwanza Norte 6 Kwanza Sul 7 Malange 8 Lunda Norte 9 Benguela 10 Huambo 11 Bie 12 Moxico 13 Kuando Kubango 14 Namibe 15 Huile 16 Cunene 17 Lunda Sul 18 Bengo Municipality 101 Cabinda 107 Belize 201 Mbanza Congo 209 Nóqui 301 Uíge 309 Negage 311 Bungo 313 Maquela do Zombo 315 Damba 323 Quimbele 331 Buengas (ex Nova Esperança) 401 Ingombota 403 Maianga 405 Rangel 407 Sambizanga 409 Cazenga 411 Kilamba Kiáxi 413 Samba 415 Cacuaco 417 Viana 503 Lucala 507 Kambambe 509 Ambaca 517 Samba Cajú 601 Sumbe (ex. Ngunza) 603 Amboim (ex. Gabela) 607 Porto Amboim 615 Seles (ex. Uku Seles) 621 Cela ( ex Waku-Kungo) 701 Malanje 703 Cacuso 705 Calandula 711 Kahombo 715 Luquembo 723 Mucari (Caculama) 803 Cambulo 805 Chitato 811 Lubalo 815 Xá-Muteba 901 Benguela 903 Baía Farta 905 Lobito 907 Cubal 911 Balombo 1001 Huambo 1005 Katchiungo 1009 Caála 1017 Mungo 1103 Cunhinga (Vouga) 1107 Andulo 1111 Camacupa 1113 Cuemba 1115 Chitembo 1203 Kamanongue 1211 Bundas-Lumbala-Nguimbo 1215 Alto Zambeze 1217 Luau 1301 Menongue 1307 Rivungo 1401 Namibe 1403 Tômbwa (ex. Porto Alexandre) 1409 Camucuio 1501 Lubango 1505 Chibia 1509 Caluquembe 1515 Quipungo 1517 Matala 1519 Chicomba 1525 Gambos ( ex-Chiange) 1601 Kwanhama 1603 Ombadja (ex. Cuamato) 1609 Namacunde 1611 Kahama 1703 Muconda 1705 Dala 1801 Dande (Caxito) 1803 Icolo Bengo 1809 Nambuangongo Household has Generator 0 No 1 Yes Household has Sawing Machine 0 No 1 Yes Someone sprayed interior walls 0 No 1 Yes 8 DK Months ago was sprayed 49 49 or more months Who sprayed the house - Health worker /State 0 No 1 Yes Who sprayed the house - NGO 0 No 1 Yes Who sprayed the house - Private company 0 No 1 Yes Who sprayed the house - Other 0 No 1 Yes Who sprayed the house - DK 0 No 1 Yes Reason - No mosquitoes 0 No 1 Yes Reason - No available mosquito nets 0 No 1 Yes Reason - Does not like to use mosquito nets 0 No 1 Yes Reason - Nets are too expensive 0 No 1 Yes Reason - Other 0 No 1 Yes Case Identification Index to household schedule Relationship to Head of Household 1 Head of HH 2 Wife or husband 3 Son or daughter 4 Adoptive child 5 Son/Daughter in law 6 Grandchild 7 Parent 8 Father or Mother in-law 9 Brother or sister 10 Blood Niece/Nephew 11 Niece/Nephew by marriage 12 Other relatives 13 Foster child 14 Not related 98 Don't Know Currently pregnant 0 No/DK 1 Yes Case Identification Index to household schedule Age in months Day of birth of child Sex 1 Male 2 Female Month of birth of child 97 Inconsistent 98 DK Year of birth of child 9997 Inconsistent 9998 DK Date of birth (cmc) Completeness of information 1 Month and year 2 Month and age 3 Year and age 4 Year 6 Age 7 Month 8 None Line no. of parent/caretaker 0 Not in household Read consent statement 1 Granted 2 Refused Hemoglobin level (g/dl - 1 decimal) Result of measuring (Hemoglobin) 0 Measured 3 Not present 4 Refused 6 Other Hemoglobin level adjusted by altitude (g/dl - 1 decimal) Anemia level 1 Severe 2 Moderate 3 Mild 4 Not anemic Mother's line number from 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 Mother's highest year of education Preceding birth interval Birth order number Highest educational level (CS for preliminary & final report) 0 No education 1 Primary 2 Secondary & Higher Case Identification Index to household schedule Line no. of parent/caretaker 0 Not in household Read consent statement 1 Granted 2 Refused Final result of malaria from blood smear test 0 Negative 1 Positive Result of malaria measurement 0 Measured 3 Not present 4 Refused 6 Other Bar code for blood smear sample Result of malaria paracheck test (rapid test) 0 Negative 1 Positive Case Identification Index to household schedule Result of Rapid test of Malaria 1 Positive 2 Negative 6 Other Information about malaria treatment 1 Accepted medicine 2 Refused 3 Already received TCA 4 Not elegible 5 Other Final lab result of malaria (smear test) 1 Positive 2 Negative 6 Other Case Identification Index to household schedule Type of bednet(s) person slept under last night 0 No bednet 1 Only treated bednets (ITN) 2 Both treated (ITN) and untreated bednets 3 Only untreated bednets 1st net number for net person slept under last night 0 Did not sleep under net 2nd net number for net person slept under last night NA - 3rd net number for net person slept under last night Corrected age from individual questionnaire 97 97+ 98 DK Flag for QH07 age from individual file 0 No data from individual questionnaire 1 Month and year 2 Month and age -y imp 3 Year and age - m imp 4 Y & age - y ignored 5 Year - a, m imp 6 Age - y, m imp 7 Month - a, y imp 8 None - all imp Pregnancy from individual questionnaire 0 Not pregnant, don't know 1 Pregnant Person sleep under an ever treated bednet 0 No 1 Yes Case Identification Net number Net observed 0 Not seen 1 Yes, seen Months ago obtained mosquito net 96 More than 3 years ago 98 Don't know Was net treated with insecticide when bought 0 No 1 Yes 8 Don't know Mosquito net treated with insecticide 0 Not pretreated 1 Pretreated, permanent tx 2 Pretreated, requiring future tx 3 Not pretreated, came with kit and treated at home 4 Pretreated, treatment type not known 6 Other 8 Don't know Brand of bednet 11 Joia 12 Olyset 13 Permanet 14 Salvo 15 Seguro 16 Other permanent brand 46 Other treated brand 96 Other brand, don't know the type 98 Don't know Bednet treated since receiving 0 No 1 Yes 2 Permanent net 8 Not sure Months ago re-treated 95 25+ months ago 96 More than 3 years ago 98 Don't know ITN net 0 No, don't know 1 Yes Number of persons who slept under this net 5 5+ Did someone sleep under bednet last night 0 No 1 Yes 8 DK Person who slept in mosquito net 0 No one Person who slept in mosquito net Person who slept in mosquito net Person who slept in mosquito net Person who slept in mosquito net Case Identification Net number Shows nets 1 Observed, with holes 2 Observed, no holes 3 Not observed Bought or offered 1 Bought 2 Offered 8 Don't Know Amount Paid for mosquito nets 9998 Don't know Person who slept in mosquito net 0 No one Person who slept in mosquito net Person who slept in mosquito net Person who slept in mosquito net Person who slept in mosquito net Case Identification Case Identification Country code and phase Cluster number Household number Respondent's line number Ultimate area unit Sample weight Month of interview Year of interview Date of interview (CMC) Respondent's month of birth Respondent's year of birth Date of birth (CMC) Current age - respondent Age 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 information 1 Month and year 2 Month and age -y imp 3 Year and age - m imp 4 Y & age - y ignored 5 Year - a, m imp 6 Age - y, m imp 7 Month - a, y imp 8 None - all imp Result of individual interview 1 Completed 2 Not at home 3 Postponed 4 Refused 5 Partly completed 6 Incapacitated 7 Other Day of interview NA - CMC start of calendar Row of month of interview 0 No calendar Length of calendar 0 No calendar Number of calendar columns 0 No calendar Ever-married sample 0 All woman sample 1 Ever married sample Primary sampling unit Sample stratum number 1 Hiperendemica urban 2 Hiperendemica rural 3 Mesoendemica Estavel urban 4 Mesoendemica Estavel rural 5 Mesoendemica Instavel urban 6 Mesoendemica Instavel rural 7 Luanda urban 8 Luanda rural Sample stratum 1 Hiperendemica urban 2 Hiperendemica rural 3 Mesoendemica Estavel urban 4 Mesoendemica Estavel rural 5 Mesoendemica Instavel urban 6 Mesoendemica Instavel rural 7 Luanda urban 8 Luanda rural Region 1 Hiperendemica 2 Mesoendemica Estavel 3 Mesoendemica Instavel 4 Luanda 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 Keyer identification Field supervisor Field editor Office editor NA - Ultimate area selection prob. NA - Line number of husband 0 Husband not in HH Cluster altitude in meters Household selection for hemoglobin 0 Not selected 1 Selected NA - Selection for women's status module 0 Woman not selected 1 Woman selected NA - Selection 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 Case Identification Case Identification Region 1 Hiperendemica 2 Mesoendemica Estavel 3 Mesoendemica Instavel 4 Luanda 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 res. 95 Always 96 Visitor 97 Inconsistent 98 Don't know NA - Type of place of previous res. 0 Capital, large city 1 City 2 Town 3 Countryside 4 Abroad Highest educational level 0 No education 1 Primary 2 Secondary 3 Higher Highest year of education Source of drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 Public tap/standpipe 20 TUBE WELL WATER 21 Tube well or borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE WATER 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irirgation channel 51 Rainwater 61 Tanker truck 62 Cart with small tank 71 Bottled water 96 Other 97 Not dejure resident NA - Time to get to water source 996 On premises 997 Not dejure resident Type of toilet facility 10 FLUSH TOILET 11 Piped sewage system 12 Septic tank 13 Slit latrine 14 Other place 15 Water flow do not know where 20 PIT TOILET LATRINE 21 Ventilated improved (VIP) 22 Cemented with sink 23 Without cement sink 30 NO FACILITY 31 No facility/bush/field 41 Composting toilet 42 Bucket toilet 43 Hanging toilet/latrine 96 Other 97 Not dejure resident Has electricity 0 No 1 Yes 7 Not dejure resident Has radio 0 No 1 Yes 7 Not dejure resident Has television 0 No 1 Yes 7 Not dejure resident Has refrigerator 0 No 1 Yes 7 Not dejure resident Has bicycle 0 No 1 Yes 7 Not dejure resident Has motorcycle/scooter 0 No 1 Yes 7 Not dejure resident Has car/truck 0 No 1 Yes 7 Not dejure resident Main floor material 10 NATURAL 11 Clay / Sand 12 Dung 20 RUDIMENTARY 21 Tablets / Wood Planks 22 Straw / Palm / Bamboo 30 FINISHED 31 Parquet / Wood Polished 32 Linoleum / Vinyl 33 Ceramic / Mosaic / Tiles 34 Cement 35 Carpet 96 Other 97 Not dejure resident Main wall material 10 NATURAL 20 RUDIMENTARY 21 Straw /mats 22 Cardboard/plastic 23 Sticks and mud 24 Blocks of clay 25 Canes/palms/trunks 26 Used wood 30 FINISHED 31 Concrete or stone blocks 32 Bricks 33 Wooden plank 96 Other 97 Not dejure resident Main roof material 10 NATURAL 20 RUDIMENTARY 21 Palm / Bamboo / Mat 22 Wood planks 23 Tarpaulin /plastic 30 FINISHED 31 Zinc, metal 32 Asbestos shingles 33 Ceramic tiles 34 Concrete cement 96 Other 97 Not dejure resident Religion 1 Catholic 2 Christian / Protestant 3 Islam 4 Traditional Religion 5 No religion 96 Other NA - Ethnicity Education in single years 97 Inconsistent NA - De facto place of residence 0 Capital, large city 1 Small city 2 Town 3 Countryside Usual resident or visitor 1 Usual resident 2 Visitor Number of household members Number of children 5 and under Number of eligible women in HH De jure region of residence 0 Abroad 1 Hiperendemica 2 Mesoendemica Estavel 3 Mesoendemica Instavel 4 Luanda 97 Not dejure resident De jure type of place of res. 0 Abroad 1 Urban 2 Rural 7 Not dejure resident NA - De jure place of residence 0 Capital, large city 1 City 2 Town 3 Countryside 4 Abroad 7 Not 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 Grand-daughter 6 Mother 7 Mother-in-law 8 Sister 9 Co-spouse 10 Other relative 11 Adopted/foster child 12 Not related 13 Niece by blood 14 Niece by marriage 98 DK Sex of household head 1 Male 2 Female Age of household head 96 96+ 98 DK NA - Has a landline telephone 0 No 1 Yes 7 Not 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 NA - Toilet facilities shared 0 No 1 Yes 7 Not dejure resident Type of cooking fuel 1 Electricity 2 LPG 3 Natural gas 4 Biogas 5 Kerosene 6 Coal, lignite 7 Charcoal 8 Firewood 9 Straw / shrubs / grass 10 Agricultural crop 11 Animal dung 95 No food cooked in HH 96 Other 97 Not dejure resident NA - Results of salt iodine test 0 0 ppm (no iodine) 7 7 ppm 15 15 ppm 30 30 ppm 994 Salt not tested 995 No salt 997 Not dejure resident NA - Number of trips in last 12 months 0 None NA - Away for more than one month in last 12 months 0 No 1 Yes Wealth index 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score (5 decimals) Type of bednet(s) slept under last night 0 No bednet 1 Only treated bednets 2 Both treated and untreated bednets 3 Only untreated bednets 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 Age at death 997 Inconsistent 998 Don't know 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 1 Month and year 2 Month and age -y imp 3 Year and age - m imp 4 Y & age - y ignored 5 Year - a, m imp 6 Age - y, m imp 7 Month - a, y imp 8 None - all imp Preceding birth interval Succeeding birth interval 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 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 Births in past year Births in month of interview Date of first birth (CMC) Age of respondent at 1st birth Currently pregnant 0 No or unsure 1 Yes Duration of current pregnancy Number of living children Living children + current preg Living children + curr preg 6+ 6 6+ NA - Marriage to first birth int. 996 Negative interval Last birth to interview NA - Completeness of curr preg. inf 7 Month - exact date 8 None - date placed Entries in birth history NA - Index last child prior to cal. 0 No prior child Birth between last & interview 0 No 1 Yes Births in last three years Case Identification Case Identification Index to birth history Prenatal: doctor 0 No 1 Yes Prenatal: nurse/midwife 0 No 1 Yes Prenatal: auxiliary midwife 0 No 1 Yes NA - Prenatal: CS health profession 0 No 1 Yes NA - Prenatal: CS health profession 0 No 1 Yes NA - Prenatal: trained birth att. 0 No 1 Yes Prenatal: trad.birth attendant 0 No 1 Yes NA - Prenatal: relative 0 No 1 Yes NA - Prenatal: CS other person 0 No 1 Yes NA - Prenatal: CS other person 0 No 1 Yes Prenatal: other resp (uncoded) 0 No 1 Yes NA - Prenatal: CS other 0 No 1 Yes NA - Prenatal: CS other 0 No 1 Yes Prenatal: no one 0 No: some care 1 Yes: no care During pregnancy - took Fansidar for Malaria 0 No 1 Yes 8 Don't know During pregnancy - took Chloroquine for Malaria 0 No 1 Yes 8 Don't know NA - During pregnancy - took Unknown Drug for Malaria 0 No 1 Yes 8 Don't know During pregnancy - took Coartem drug for Malaria 0 No 1 Yes 8 Don't know NA - During pregnancy - took country specific drug for Malaria 0 No 1 Yes 8 Don't know NA - During pregnancy - took country specific drug for Malaria 0 No 1 Yes 8 Don't know NA - During pregnancy - took country specific drug for Malaria 0 No 1 Yes 8 Don't know During pregnancy - took other drug for Malaria 0 No 1 Yes 8 Don't know During pregnancy - took no drug for Malaria 0 No 1 Yes, took no drug 8 Don't know Case Identification Case Identification Entries in maternity table Entries in health table Entries in height/weight table Have bednet for sleeping (household report) 0 No 1 Yes Children under 5 slept under bednet last night (HH report) 0 No 1 All children 2 Some children 3 No bednet in HH Respondent slept under bednet 0 No 1 Yes Columns used for Last Birth Only variables 0 See specific questions 1 Only last birth 2 All columns Case Identification Case Identification Index to birth history Had fever in last two weeks 0 No 1 Yes 8 DK Fever/cough: government hosp. 0 No 1 Yes Fever/cough: govt health cntr 0 No 1 Yes Fever/cough: govt health post 0 No 1 Yes Fever/cough: mobile clinic 0 No 1 Yes Fever/cough: comm.health wrkr 0 No 1 Yes Fever/cough: public company 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: oth public sector 0 No 1 Yes Fever/cough: private hosp/clin 0 No 1 Yes Fever/cough: private pharmacy 0 No 1 Yes Fever/cough: private doctor 0 No 1 Yes Fever/cough: private mobile cl 0 No 1 Yes NA - Fever/cough: comm.health wrkr 0 No 1 Yes NA - Fever/cough: CS med.priv sect 0 No 1 Yes NA - Fever/cough: CS med.priv sect 0 No 1 Yes NA - Fever/cough: CS med.priv sect 0 No 1 Yes Fever/cough: oth med.priv sect 0 No 1 Yes Fever/cough: shop 0 No 1 Yes NA - Fever/cough: traditional pract 0 No 1 Yes Fever/cough: traditional provider 0 No 1 Yes NA - Fever/cough: CS oth.priv sect 0 No 1 Yes NA - Fever/cough: CS oth.priv sect 0 No 1 Yes Fever/cough: Other 0 No 1 Yes Fever/cough: no treatment 0 No: received treatm. 1 Yes: no treatment Fever/cough: medical treatment 0 No 1 Yes Place first sought treatment for fever 10 PUBLIC SECTOR 11 Government hospital 12 Government health center 13 Government health post 14 Mobile clinic 15 Field worker 16 Public company 17 Other public 20 PRIVATE MEDICAL 21 Private hospital, clinic 22 Pharmacy 23 Private doctor 24 Private mobile clinic 25 Field worker 26 Other private 30 OTHER 31 Shop 32 Traditional practitioner 96 Other Days after fever sought advice or treatment 0 Same day 98 Don't know Case Identification Case Identification Index to birth history Age in months Day of birth of child 97 Inconsistent 98 DK Line no. of parent/caretaker 0 Not in household Read consent statement 1 Granted 2 Refused Hemoglobin level (g/dl - 1 decimal) Result of measuring (Hemoglobin) 0 Measured 1 Dead 3 Not present 4 Refused 6 Other 7 No measurement found in HH Hemoglobin level adjusted by altitude (g/dl - 1 decimal) Anemia level 1 Severe 2 Moderate 3 Mild 4 Not anemic Case Identification Case Identification Time interview started Time interview ended Length of interview in minutes 95 95+ 96 2+ visits 97 Inconsistent Number of visits Interviewer identification Keyer identification Case Identification Case Identification Index to birth history Type of bednet(s) child slept under last night 0 No bednet 1 Only treated bednets 2 Both treated and untreated bednets 3 Only untreated bednets Times took Fansidar during pregnancy 98 Don't know Type of visit at source for antimalarial during pregnancy 1 Antenatal visit 2 Another facility visit 6 Other source Child has fever now 0 No 1 Yes, fever only 2 Yes, cough only 3 Both fever and cough 8 Don't know Fansidar taken for fever/cough 0 No 1 Yes Chloroquine taken for fever/cough 0 No 1 Yes NA - Amodiaquine taken for fever/cough 0 No 1 Yes Quinine taken for fever/cough 0 No 1 Yes NA - Combination with artemisinin taken for fever/cough 0 No 1 Yes Coartem taken for fever/cough 0 No 1 Yes NA - CS antimalarial taken for fever/cough 0 No 1 Yes Other antimalarial taken for fever/cough 0 No 1 Yes NA - Pills/syrup taken for fever/cough 0 No 1 Yes NA - Injection taken for fever/cough 0 No 1 Yes Aspirin taken for fever/cough 0 No 1 Yes Acetaminophen taken for fever/cough 0 No 1 Yes Ibuprofen taken for fever/cough 0 No 1 Yes Paracetamol taken for fever/cough 0 No 1 Yes NA - CS other for fever/cough 0 No 1 Yes NA - CS other for fever/cough 0 No 1 Yes Other taken for fever/convulsion 0 No 1 Yes Nothing taken for fever/convulsion 0 No 1 Yes, nothing taken Don't know if or what was taken for fever/convulsion 0 No 1 Yes, DK When started Fansidar 0 Same day as fever/convulsion 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know Days child took Fansidar 7 7+ days 8 Don't know First source for Fansidar 0 Other source 1 At home 8 Don't know When started Chloroquine 0 Same day as fever/convulsion 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know Days child took Chloroquine 7 7+ days 8 Don't know First source for Chloroquine 0 Other source 1 At home 8 Don't know When started Quinine 0 Same day as fever/convulsion 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know Days child took Quinine 7 7+ days 8 Don't know First source for Quinine 0 Other source 1 At home 8 Don't know When started Coartem antimalarial 0 Same day as fever/convulsion 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know Days child took Coartem antimalarial 7 7+ days 8 Don't know First source for Coartem antimalarial 0 Other source 1 At home 8 Don't know When started other anti-malarial 0 Same day as fever/convulsion 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know Days child took other anti-malarial 7 7+ days 8 Don't know First source for other anti-malarial 0 Other source 1 At home 8 Don't know Case Identification Case Identification Province 1 Cabinda 2 Zaire 3 Uige 4 Luanda 5 Kwanza Norte 6 Kwanza Sul 7 Malange 8 Lunda Norte 9 Benguela 10 Huambo 11 Bie 12 Moxico 13 Kuando Kubango 14 Namibe 15 Huile 16 Cunene 17 Lunda Sul 18 Bengo Municipality 101 Cabinda 107 Belize 201 Mbanza Congo 209 Nóqui 301 Uíge 309 Negage 311 Bungo 313 Maquela do Zombo 315 Damba 323 Quimbele 331 Buengas (ex Nova Esperança) 401 Ingombota 403 Maianga 405 Rangel 407 Sambizanga 409 Cazenga 411 Kilamba Kiáxi 413 Samba 415 Cacuaco 417 Viana 503 Lucala 507 Kambambe 509 Ambaca 517 Samba Cajú 601 Sumbe (ex. Ngunza) 603 Amboim (ex. Gabela) 607 Porto Amboim 615 Seles (ex. Uku Seles) 621 Cela ( ex Waku-Kungo) 701 Malanje 703 Cacuso 705 Calandula 711 Kahombo 715 Luquembo 723 Mucari (Caculama) 803 Cambulo 805 Chitato 811 Lubalo 815 Xá-Muteba 901 Benguela 903 Baía Farta 905 Lobito 907 Cubal 911 Balombo 1001 Huambo 1005 Katchiungo 1009 Caála 1017 Mungo 1103 Cunhinga (Vouga) 1107 Andulo 1111 Camacupa 1113 Cuemba 1115 Chitembo 1203 Kamanongue 1211 Bundas-Lumbala-Nguimbo 1215 Alto Zambeze 1217 Luau 1301 Menongue 1307 Rivungo 1401 Namibe 1403 Tômbwa (ex. Porto Alexandre) 1409 Camucuio 1501 Lubango 1505 Chibia 1509 Caluquembe 1515 Quipungo 1517 Matala 1519 Chicomba 1525 Gambos ( ex-Chiange) 1601 Kwanhama 1603 Ombadja (ex. Cuamato) 1609 Namacunde 1611 Kahama 1703 Muconda 1705 Dala 1801 Dande (Caxito) 1803 Icolo Bengo 1809 Nambuangongo Language learned to speak 1 Portuguese 2 Ju 3 Nimbund 4 Kongo 5 Kun 6 Kwadi 7 Kwanyama 8 Lunda 9 Ndoga 10 Oshiwam 11 Umbun 96 Other Heard of an illness called 'Malaria' 0 No 1 Yes How to recognize a person has malaria - Fever 0 No 1 Yes How to recognize a person has malaria - Chills 0 No 1 Yes How to recognize a person has malaria - Headache 0 No 1 Yes How to recognize a person has malaria - Joint pain 0 No 1 Yes How to recognize a person has malaria - Lack of apetite 0 No 1 Yes How to recognize a person has malaria - Other 0 No 1 Yes How to recognize a person has malaria - Doesn't know any 0 No 1 Yes Person most likely to come down with acute malaria - Children 0 No 1 Yes Person most likely to come down with acute malaria - Pregnant women 0 No 1 Yes Person most likely to come down with acute malaria - Adults 0 No 1 Yes 0 No 1 Yes Person most likely to come down with acute malaria - All the same 0 No 1 Yes Person most likely to come down with acute malaria - Other 0 No 1 Yes Person most likely to come down with acute malaria - Don't Know 0 No 1 Yes Causes for Malaria - Mosquito bites 0 No 1 Yes Causes for Malaria - Dirty needle 0 No 1 Yes Causes for Malaria - Dirty environment 0 No 1 Yes Causes for Malaria - Contaminated food 0 No 1 Yes Causes for Malaria - Witchcraft 0 No 1 Yes Causes for Malaria - Other 0 No 1 Yes Causes for Malaria - Doesn't know any 0 No 1 Yes Way to prevent malaria 0 No 1 Yes 8 DK Prevention - Sleep under mosquito nets 0 No 1 Yes 8 DK Prevention - Use mosquito coils 0 No 1 Yes 8 DK Prevention - Fumigate the house 0 No 1 Yes 8 DK Prevention - Keep doors and windows closed 0 No 1 Yes 8 DK Prevention - Use insects repellent 0 No 1 Yes 8 DK Prevention - Keep a clean environment 0 No 1 Yes 8 DK Prevention - Mowing the lawns 0 No 1 Yes 8 DK Prevention - Other 0 No 1 Yes 8 DK Prevention - DK 0 No 1 Yes 8 DK Malaria can be treated 0 No 1 Yes 8 DK Medicine for malaria - SP/Fansidar 0 No 1 Yes 8 DK Medicine for malaria - Chloroquine 0 No 1 Yes 8 DK Medicine for malaria - Quinine 0 No 1 Yes 8 DK Medicine for malaria - Coartem 0 No 1 Yes 8 DK Medicine for malaria - Aspirine / Panadol / Paracetamol, etc 0 No 1 Yes 8 DK Medicine for malaria - Medicinal Herbs 0 No 1 Yes 8 DK Medicine for malaria - Other 0 No 1 Yes 8 DK Medicine for malaria - Don't know 0 No 1 Yes 8 DK Saw or heard messages about malaria 0 No 1 Yes Messages about Malaria - Seek medical treatment in case of fever 0 No 1 Yes 8 DK Messages about Malaria - Sleep under mosquito nets 0 No 1 Yes 8 DK Messages about Malaria - Pregnant women must have medicine to prevent malaria 0 No 1 Yes 8 DK Messages about Malaria - Malaria may cause death 0 No 1 Yes 8 DK Messages about Malaria - Other 0 No 1 Yes 8 DK Messages about Malaria - Doesn't Remember 0 No 1 Yes 8 DK Place saw or heard messages - Radio 0 No 1 Yes 8 DK Place saw or heard messages - TV 0 No 1 Yes 8 DK Place saw or heard messages - Newspaper 0 No 1 Yes 8 DK Place saw or heard messages - Video club 0 No 1 Yes 8 DK Place saw or heard messages - Advertising cards 0 No 1 Yes 8 DK Place saw or heard messages - Posters 0 No 1 Yes 8 DK Place saw or heard messages - Brochures 0 No 1 Yes 8 DK Place saw or heard messages - School / University 0 No 1 Yes 8 DK Place saw or heard messages - Health stands / Health promotors 0 No 1 Yes 8 DK Place saw or heard messages - Other 0 No 1 Yes 8 DK Case Identification Case Identification Index to birth history Pregnant women need to take some kind of medication 0 No 1 Yes 8 DK Prenatal - Nurse 0 No 1 Yes Prenatal - Midwife 0 No 1 Yes Case Identification Case Identification Index to birth history Days started 98 DK Place of treatment - Private Hospital 0 No 1 Yes Place of treatment - Private Clinic 0 No 1 Yes Someone drew blood 0 No 1 Yes 8 DK