NGA_2010_MIS_v01_M DDI_NGA_2010_MIS_v01_M_WB Development Data Group 2014-02-03 Nesstar Publisher Version 01 (February 2014) Malaria Indicator Survey 2010 MIS 2010 NGA_2010_MIS_v01_M National Population Commission National Malaria Control Programme ICF International MEASURE DHS program Nesstar Publisher National Malaria Control Programme, Global Fund Society for Family Health Yakubu Gowon Centre United Kingdom Department for International Development Support to Nigeria Malaria Programme United States Agency for International Development ICF International General Inquiries Data and Data Related Resources Demographic and Health Survey [hh/dhs] The 2010 Nigeria Malaria Indicator Survey (NMIS) is the first malaria indicator survey to conduct rapid diagnostic testing and to collect and evaluate thick blood smears and thin blood films at the household level in a nationally representative survey. Additionally, the 2010 NMIS represents the first malaria indicator survey conducted in all states and in the Federal Capital Territory (FCT) in Nigeria. The 2005 Mid-term Evaluation Survey designed to assess the Abuja targets covered only two randomly selected states in each zone, therefore spanning only 12 states. Nigeria National The survey covered all de jure household members (usual residents), all women aged between 15-49 years, and all children age 6-59 months living in the household. Sample survey data [ssd] National Population Commission National Malaria Control Programme Face-to-face [f2f] There is one supervisor for each of the 15 data collection teams in the field. 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 6197 37 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 30537 13 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 5895 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. RECH3.NSDstat 6197 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. RECH4.NSDstat 30537 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. RECH6.NSDstat 5669 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. RECHMH.NSDstat 30537 29 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 5172 22 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 6527 39 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 6344 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. REC21.NSDstat 19644 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 6344 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. REC41.NSDstat 3602 28 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 6344 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. REC43.NSDstat 5978 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 6344 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. REC91.NSDstat 6527 28 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 6344 87 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 5978 66 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) Number of household members Number of eligible women in household NA - Number of eligible men in household Number of de jure members Number of de facto members Number of children 5 and under (de jure) Result of household interview 1 Completed 2 No Household member/no competent member at home 3 Entire Household absent for extended period of time 4 Postponed 5 Refused 6 Dwelling vacant or address not a dwelling 7 Dwelling destroyed 8 Dwelling not found 9 Other Day of interview Number of visits Interviewer identification Keyer identification Ever-married sample 0 All woman sample 1 Ever married sample Primary sampling unit Sample strata for sampling errors 1 North central - Rural 2 North central - Urban 3 North east - Rural 4 North east - Urban 5 North west - Rural 6 North west - Urban 7 South east - Rural 8 South east - Urban 9 South south - Rural 10 South south - Urban 11 South west - Rural 12 South west - Urban Stratification used in sample design 1 North central - Rural 2 North central - Urban 3 North east - Rural 4 North east - Urban 5 North west - Rural 6 North west - Urban 7 South east - Rural 8 South east - Urban 9 South south - Rural 10 South south - Urban 11 South west - Rural 12 South west - Urban Region 1 North central 2 North east 3 North west 4 South east 5 South south 6 South west 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 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 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 96 96+ 98 Don't know Highest educational level attained 0 No education, preschool 1 Primary 2 Secondary 3 Higher 8 Don't know Highest year of education completed 98 Don't know Education completed in single years 97 Inconsistent 98 Don't know Educational attainment 0 No education 1 Incomplete primary 2 Complete primary 3 Incomplete secondary 4 Complete secondary 5 Higher 8 Don't know Eligibility for female interview 0 Not eligible 1 Eligible Children eligibility for height/weight and hemoglobin 0 Not eligible 1 Eligible Case Identification Source of drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 Public tap/standpipe 20 TUBE WELL WATER 21 Tube well or borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE WATER 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irrigation channel 51 Rainwater 61 Tanker truck 62 Cart with small tank 71 Bottled water 72 Water sachets (pure water) 96 Other 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 11 Earth, sand 21 Wood planks 31 Parquet, polished wood 32 Floor mat, linoleum, vinyl 33 Ceramic tiles 34 Concrete, cement 35 Carpet 96 Other Main wall material 11 Mud and sticks 12 Cane / palm / trunks 13 Straw, thatch mats 21 Mud bricks 22 Plywood, reused wood 23 Cardboard, plastic 31 Cement or stone blocks 32 Bricks 33 Wood planks / shingles 96 Other Main roof material 11 Thatch / palm leaf 21 Palm / bamboo/mats 22 Wood planks 23 Tarpaulin, plastic 31 Zinc, metal 32 Wood 34 Ceramic tiles 35 Concrete, cement 36 Asbestos sheets, 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 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 Has mobile telephone 0 No 1 Yes NA - Has watch 0 No 1 Yes Has animal-drawn cart 0 No 1 Yes Has boat with a motor 0 No 1 Yes 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 Dwelling sprayed by: private company 0 No 1 Yes NA - Dwelling sprayed by: NGO 0 No 1 Yes NA - Dwelling sprayed by: CS 0 No 1 Yes NA - Dwelling sprayed by: CS 0 No 1 Yes NA - Dwelling sprayed by: CS 0 No 1 Yes NA - Dwelling sprayed by: CS 0 No 1 Yes NA - Dwelling sprayed by: CS 0 No 1 Yes Dwelling sprayed by: other 0 No 1 Yes Dwelling sprayed by: don't know 0 No 1 Yes Wealth index 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score (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 Original building number - used in the filed Original household number - used in the filed State of residence 10 SOKOTO 20 ZAMFARA 30 KATSINA 40 JIGAWA 50 YOBE 60 BORNO 70 ADAMAWA 80 GOMBE 90 BAUCHI 100 KANO 110 KADUNA 120 KEBBI 130 NIGER 140 FCT-ABUJA 150 NASARAWA 160 PLATEAU 170 TARABA 180 BENUE 190 KOGI 200 KWARA 210 OYO 220 OSUN 230 EKITI 240 ONDO 250 EDO 260 ANAMBRA 270 ENUGU 280 EBONYI 290 CROSS RIVER 300 AKWA IBOM 310 ABIA 320 IMO 330 RIVERS 340 BAYELSA 350 DELTA 360 LAGOS 370 OGUN Local government area Locality Enumeration area Areas for LLIN malaria campaigns 1 World bank boosters 2 Others with campaigns 3 Others with no campaigns Language of questionnaire 1 Hausa 2 Yoruba 3 Igbo 4 English 6 Other Language of interview 1 Hausa 2 Yoruba 3 Igbo 4 English 6 Other Respondent's native language 1 Hausa 2 Yoruba 3 Igbo 4 English 6 Other Translator used 1 Not at all 2 Sometime 3 All the time Has cable TV 0 No 1 Yes Has generating set 0 No 1 Yes Has air conditioner 0 No 1 Yes Has computer 0 No 1 Yes Has electric iron 0 No 1 Yes Has fan 0 No 1 Yes Total rooms in household 60 60+ Number of sleeping facilities 60 60+ Has a canoe 0 No 1 Yes Reason HH doesn't have a mosquito net: no mosquitoes 0 No 1 Yes Reason HH doesn't have a mosquito net: not available 0 No 1 Yes Reason HH doesn't have a mosquito net: don't like to use nets 0 No 1 Yes Reason HH doesn't have a mosquito net: too expensive 0 No 1 Yes Reason HH doesn't have a mosquito net: other 0 No 1 Yes Case Identification Index to Household Schedule Is woman currently pregnant 0 No 1 Yes 8 DK Last two weeks sick with fever 0 No 1 Yes 8 DK Did get any treatment for fever in last two weeks 0 No 1 Yes 8 DK Place where treatment took place 11 Government hospital 12 Government health center 13 Government health clinic 21 Private hospital/clinic 22 Pharmacy 23 Private doctor 24 Mobile clinic 31 Chemist/PMV 32 Shop 33 Traditional practitioner 34 Role model caregiver/community worker 35 Drug hawker 36 Self treatment at home 96 Other 98 DK Cost of treatment 99990 99990+ 99995 Free Case Identification Index to Household Schedule Child's age in months Child's weight in kilograms (2 decimals) 9994 Not present 9995 Refused 9996 Other Result of measurement - height/weight 0 Measured 3 Not present 4 Refused 6 Other Day of birth 97 Inconsistent 98 Don't know 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) Completeness of HC32 information 1 Month and year - information complete 2 Month and age - year imputed 3 Year and 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 Granted test, refused thumb signature 3 Refused test 6 Other Hemoglobin level (g/dl - 1 decimal) 994 Not present 995 Refused 996 Other Result of measurement - hemoglobin 0 Measured 3 Not present 4 Refused 6 Other Hemoglobin level adjusted for altitude (g/dl - 1 decimal) 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 Mother's highest year of education Preceding birth interval (months) Birth order number Mother's highest educational level (questionnaire configuration) 0 No education 1 Primary 2 Secondary 3 Higher 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 Granted test, refused thumb signature 3 Refused test 6 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: falciparam (Pf) 0 No 1 Yes Presence of species: malari (Pm) 0 No 1 Yes Presence of species: ovale (Po) 0 No 1 Yes Presence of species: vwax (Pv) 0 No 1 Yes NA - Presence of species: CS 0 No 1 Yes NA - Presence of species: CS 0 No 1 Yes NA - Presence of species: CS 0 No 1 Yes Result of malaria measurement 0 Measured 3 Not present 4 Refused 6 Other Bar code for blood smear sample Result of malaria rapid test 0 Negative 1 Positive 6 Other Temperature units 1 No fever 2 Has fever Temperature in grades centigrades(1 decimal) Result of temperature measurement 0 Measured 3 Not present 4 Refused 6 Other Consent for malaria treatment 1 Accepted medicine 2 Accepted medicine, refused signature thumb print 3 Refused 4 Already has ACT 5 Not eligible 6 Other Case Identification Mosquito Bed Net Designation Number Net observed by interviewer 0 Not seen 1 Yes, seen but has holes 2 Yes, seen doesn't have holes 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 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 11 (LLIN) Permanent 12 (LLIN) Olyset 13 (LLIN) Iconlife 14 (LLIN) Duranet 15 (LLIN) Net protect 16 (LLIN) BASF Interceptor 17 (LLIN) Other/DK brand 21 Retreatable net 31 Untreated net 96 Other 98 DK Brand Net treated since receiving 0 No 1 Yes 2 Permanent net 8 Not sure 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 Don't know Line number of person who slept in this net 0 No one Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net Is net hanging 1 Observed hanging 2 Observbed not hanging 3 Not observed hanging 4 Not observed not hanging Where net was obtained 1 Net distribution campaign 2 Primary health center/health post 3 Government hospital 4 Private hospital 5 NGO/mission clinic 6 Mosque/church 7 Pharmacy 8 Patent medicine store 9 Shop/supermarket 10 Open market 11 Hawker 96 Other 98 DK Was net bought or given free 1 Bought 2 Free 8 DK Cost of the net 99998 DK Reason no one slept under the net 1 No mosquitos 2 No Malaria 3 Too hot 4 Difficult to hang 5 Don't like smell 6 Feel 'closed in' or constrained 7 Net too old or torn 8 Net too dirty 9 Net not available last night (washing) 10 Feel ITN chemicals are unsafe 11 ITN provokes coughing 12 Usual user(s) did not sleep here last night 13 Net not needed last night 96 Other 98 Don't know 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) 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 North central - Rural 2 North central - Urban 3 North east - Rural 4 North east - Urban 5 North west - Rural 6 North west - Urban 7 South east - Rural 8 South east - Urban 9 South south - Rural 10 South south - Urban 11 South west - Rural 12 South west - Urban Stratification used in sample design 1 North central - Rural 2 North central - Urban 3 North east - Rural 4 North east - Urban 5 North west - Rural 6 North west - Urban 7 South east - Rural 8 South east - Urban 9 South south - Rural 10 South south - Urban 11 South west - Rural 12 South west - Urban Region 1 North central 2 North east 3 North west 4 South east 5 South south 6 South west 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 NA - Field editor 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 Case Identification Case Identification Region 1 North central 2 North east 3 North west 4 South east 5 South south 6 South west 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 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 Public tap/standpipe 20 TUBE WELL WATER 21 Tube well or borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE WATER 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irrigation channel 51 Rainwater 61 Tanker truck 62 Cart with small tank 71 Bottled water 72 Water sachets (pure water) 96 Other 97 Not a dejure resident 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 11 Earth, sand 21 Wood planks 31 Parquet, polished wood 32 Floor mat, linoleum, vinyl 33 Ceramic tiles 34 Concrete, cement 35 Carpet 96 Other 97 Not a dejure resident Main wall material 11 Mud and sticks 12 Cane / palm / trunks 13 Straw, thatch mats 21 Mud bricks 22 Plywood, reused wood 23 Cardboard, plastic 31 Cement or stone blocks 32 Bricks 33 Wood planks / shingles 96 Other 97 Not a dejure resident Main roof material 11 Thatch / palm leaf 21 Palm / bamboo/mats 22 Wood planks 23 Tarpaulin, plastic 31 Zinc, metal 32 Wood 34 Ceramic tiles 35 Concrete, cement 36 Asbestos sheets, shingles 96 Other 97 Not a dejure resident Religion 1 Christianity 2 Islam 3 Traditional religion 4 No religion 6 Other 96 Other Ethnicity 1 Abua 2 Adra/Adarawa 3 Adun 4 Afcabeya 5 Afemai 6 Afizire 7 Agatu 8 Agbassa 9 Agbor 10 Afo 11 Ajowa 12 Akpa 13 Akwai 14 Akye 15 Alago 16 Amamong 17 Amo 18 Ana 19 Anaguta 20 Ankwai 21 Annang 22 Arab 23 Arabo 24 Arbar 25 Arugu 26 Aten/Atam 27 Attakar 28 Auchi 29 Aulliminden 30 Awo 31 Ayetoro Gbede 32 Badarare 33 Bade/Badawe 34 Bafeke 35 Bagathiya 36 Baggara 37 Bagunge/Badagire 38 Bahnake 39 Baji/Biji 40 Bajju 41 Bambaro 42 Bambuka 43 Bandawa 44 Banguji 45 Bankalawa 46 Bchama 47 Barabaci 48 Barawa 49 Bargawa 50 Bassa 51 Bekworas 53 Berom 54 Bini/Edo 55 Bogom 56 Boiyawa/Bozaya 57 Bolawa/Bolewa 59 Buduma 60 Buko 61 Bura/Babur 62 Buzu 63 Byazhi 64 Calabar 65 Chala 66 Chamba 67 Chiba 68 Chibok(g) 69 Chip 70 Dadiya 71 Badakare/Dakarkari 72 Dakka/Doka 73 Dangula 74 Daurawa/Dagarawa 75 Defaka 76 Degima 77 Delta Ibo 78 Dibo 79 Diguza 80 Djerma 81 Dmoko 82 Dolchi 83 Ebira/Igbira 84 Ebu 85 Efik 86 Egba 87 Egbado 88 Eggon 89 Egun 90 Eket 91 Ekoi 92 Ekpeye/Afisa/Epie 94 Ekulu 95 Eleme 96 Emu 97 Esan 98 Etina 99 Etsako 100 Etulo 101 Hadejawa 102 Fanso 103 Femawa 104 Fer 105 Filiya/Fali 106 Fon 107 Foron 108 French 109 Fulani 110 Gamaku 111 Gamaru 112 Gamuni 113 Gana Gana 114 Ganawuri 115 Gbaju/Gbagi 116 Gede/Gude/Gai 117 Gerawa 118 Gizmawa 119 Glauda 120 Gmenchi 121 Gomo/Gamoyaya 122 Gobiri/Gobirawa/Bogobiri 123 Gujjurawa 124 Guemai 125 Gumbarawa 126 Gunganchi 127 Gwandara 128 Gwantu 129 Hankwe 130 Hausa 131 Higgi 132 Ibariba 133 Ibibio 134 Ichen 135 Idanre 136 Idoma 137 Igala 138 Igbo/Ibo 139 Igede 140 Ijaw/Izon 141 Ijede 142 Ijeme 143 Ika 144 Ikajo 145 Ikara 146 Ikpeshi 147 Ikpide 148 Ikulu 149 Ikwere 150 Ilaje 151 Irigwe 152 Ishan 153 Isoko 154 Itsekiri 155 Jaba 156 Jajiri 157 Jakatoe 158 Jaku 159 Jara 160 Jarawa 162 Jibu 163 Jonjo 164 Jukun 165 Kabawa 166 Kadara 167 Kagoma 168 Kagoro 169 Kaka 170 Kakanda 171 Kamantam 172 Kambari 173 Kambu/Kangu 174 Kamuku 175 Kanakuru 176 Kanawa 177 Kaninko 178 Kantanawa 179 Kanuri/Beriberi 180 Manga 181 Karekare 182 Kataf/Atyap 183 Kento 184 Kibaku 185 Kilba 186 Kirdi 187 Kodki 188 Kofyar 189 Kona 190 Koro 191 Koto 192 Kuenuem 193 Kumbo 194 Kunkawa/Kawa 195 Kurama 196 Kuteb 197 Kuturm 198 Kwale/Ukwuani 199 Kwanzo 200 Lagelu 201 Lantang 202 Lemoro 203 Loh 204 Lunguda 205 Maba/Mbadowa 206 Mada 207 Mafa/Maka/Maga 208 Mambila 209 Mandara 210 Mangus/Manju 211 Marghi/mangi 212 Mbwa 213 Mingo 214 Mirnang 215 Montor 216 Mtchiga/Michika 217 Mumuye 218 Munga 219 Mupung 220 Mushere 221 Mwagavol 222 Naiawum 223 Namoen 224 Ndokwa 225 Ndola 226 Ngamo 227 Ukale 228 Ngoshe 229 Nili 230 Ninnma 231 Ninzom 232 Nkoroo 233 Nnebe 234 Numana 235 Nungu 236 nunku 237 Nupe 238 Obubua 239 Odu 240 Ogoja 241 Ogoni 242 Ogugu 243 Okori/Ogori 244 Omele 245 Ora 246 Oron 247 Owan 249 Owo 250 Pa'awa 251 Paburi 252 Paibun 253 Panya 254 Pasama 255 Pero 256 Piya 257 Pyem 258 Rukuba 259 Rulere 260 Rundawa 261 Sayawa/Siyawa 262 Sekere 263 Sharawa 264 Shomo 265 Shuwa 266 Somunka 267 Sullubawa 268 Sura 269 Taira 270 Tangale 272 Tarok 273 Tera 274 Teskwa 275 Tiguni ( ? ) 276 Tiv 277 Tiyari 278 Tula 279 Ubaija 280 Ugbia 281 Uhionigbe 282 Ukwuani 283 Urhobo 284 Uyo 285 Uzaurue 286 Uzeba 287 Waja 288 Waka 289 Wanu 290 Wari 291 Warjawa 292 Wodaabe 293 Wurkum 294 Yakurr 295 Yandang 296 Yendre 297 Yonubi 298 Yoruba 299 Zabarmawa 301 Kaje 302 Igbanko 303 Okori/Ogori 304 Migili 305 Gwari 306 Uru 307 Okirika 308 Egi 309 Ogba 310 Moroa 311 Marwa 312 Toff 313 Fulfulde 314 Kabba/Okun 315 Bakabe 316 Burmanch 317 Kalabari 320 Miship 321 Karimjo 322 Kwa 323 Angas 324 Bobari 325 Yarimawa 326 Bakenga 327 Agazawa 328 Gwoza 329 Zalidva 330 Nyangdang 331 Ngezim 332 Hanbagda 333 Njanyi 334 Dumak 335 Kwalla 336 Yeskwa and Mubula 337 Bile 338 Offa 339 Yungur 340 Pura Pura 341 Rindre 342 Dukawa 343 Ningi 344 Cham 345 Kamo 346 Lala 347 Laru 348 Lisa 349 Gaanda 350 Ezza 351 Kubasawa. 352 Gusu 353 Ikpoma 354 Buh 355 Mushere 356 Chakeem 357 Jipal 358 Ugeb 359 Koma 360 Verre/Kila 361 Zuru 362 Honna 363 Kapsiki 364 Jere 365 Gizi Yobe 366 Karekare 367 Kulere 368 Beteer 369 Bashama 370 Antocha 371 Baruba/Baruntin 372 Nezou 373 Dibba 374 Kanum 375 Gasawa 376 Muryan 377 Bageri 378 Ahu 379 Basange 380 Nakere 381 Batunu 382 Sanga 383 Ohari 384 Numuro 385 Tangale 386 Guruma 387 Otuwo 388 Batala 389 Ogbo 390 Egbema 391 Dara 392 Andoni 393 Obolo 394 Pegan 395 Iyala 396 Jibawa 397 Mungaduso 398 Okobo 996 Others 998 DK Education in single years 97 Inconsistent NA - De facto place of residence 0 Capital, large city 1 Small city 2 Town 3 Countryside Usual resident or visitor 1 Usual resident 2 Visitor Number of household members (listed) Number of children 5 and under in household (de jure) Number of eligible women in household (de facto) De jure region of residence 0 Abroad 1 North central 2 North east 3 North west 4 South east 5 South south 6 South west 97 Not dejure resident De jure type of place of residence 0 Abroad 1 Urban 2 Rural 7 Not a dejure resident De jure place of residence 0 Capital, large city 1 City 2 Town 3 Countryside 4 Abroad 7 Not a dejure resident Educational attainment 0 No education 1 Incomplete primary 2 Complete primary 3 Incomplete secondary 4 Complete secondary 5 Higher Relationship to household head 1 Head 2 Wife 3 Daughter 4 Daughter-in-law 5 Granddaughter 6 Mother 7 Mother-in-law 8 Sister 9 Co-spouse 10 Other relative 11 Adopted/foster child 12 Not related 13 Niece/nephew by blood 14 Niece/nephew by marriage 98 Don't know Sex of household head 1 Male 2 Female Age of household head 97 97+ 98 Don't know Household has: telephone (land-line) 0 No 1 Yes 7 Not a dejure resident Literacy 0 Cannot read at all 1 Able to read only parts of sentence 2 Able to read whole sentence 3 No card with required language 4 Blind/visually impaired Type of cooking fuel 1 Electricity 2 LPG 3 Natural gas 4 Biogas 5 Kerosene 6 Coal, lignite 7 Charcoal 8 Wood 9 Straw/shrubs/grass 10 Agricultural crop 11 Animal dung 95 No food cooked in house 96 Other 97 Not a dejure resident Wealth index 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score (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 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 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 - 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) 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 0 No births Births in past year 0 No births 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 pregnancy Living children + current pregnancy (grouped) 6 6+ Last birth to interview (months) Completeness of current pregnancy information 7 Month - exact date 8 None - date placed Entries in birth history 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 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 Prenatal: community health worker (CHEW) 0 No 1 Yes NA - Prenatal: CS health professional 0 No 1 Yes NA - Prenatal: CS health professional 0 No 1 Yes Prenatal: traditional birth attendant 0 No 1 Yes Prenatal: community oriented resource 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 During pregnancy took: SP/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: 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 During pregnancy took: other drug for malaria 0 No 1 Yes 8 Don't know During pregnancy took: don't know 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 Did receive a mosquito net during antenatal visit 0 No 1 Yes Case Identification Case Identification Entries in maternity table Entries in health table Respondent slept under mosquito bed net 0 No 1 Yes Case Identification Case Identification Index to birth history Had fever in last two weeks 0 No 1 Yes 8 Don't know Fever/cough: government hospital 0 No 1 Yes Fever/cough: government health center 0 No 1 Yes Fever/cough: government health post 0 No 1 Yes Fever/cough: mobile clinic 0 No 1 Yes Fever/cough: role model/cargiver/community worker 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: other 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: chemist/PMV 0 No 1 Yes Fever/cough: mobile clinic 0 No 1 Yes NA - Fever/cough: CS private medical 0 No 1 Yes NA - Fever/cough: CS private medical 0 No 1 Yes NA - Fever/cough: CS private medical 0 No 1 Yes Fever/cough: other private medical 0 No 1 Yes Fever/cough: shop 0 No 1 Yes Fever/cough: traditional practitioner 0 No 1 Yes Fever/cough: drug hawker 0 No 1 Yes NA - Fever/cough: CS other sector 0 No 1 Yes NA - Fever/cough: CS other sector 0 No 1 Yes Fever/cough: other 0 No 1 Yes Fever/cough: no treatment 0 No: received treatment 1 Yes: no treatment Fever/cough: medical treatment 0 No 1 Yes 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 Case Identification Case Identification Time interview started (hhmm - 24 hour clock) Time interview ended (hhmm - 24 hour clock) Length of interview in minutes 95 95+ 96 2+ visits 97 Inconsistent Number of visits Interviewer identification Keyer identification Case Identification Case Identification Original building number - used in the filed Original household number - used in the filed State of residence 10 SOKOTO 20 ZAMFARA 30 KATSINA 40 JIGAWA 50 YOBE 60 BORNO 70 ADAMAWA 80 GOMBE 90 BAUCHI 100 KANO 110 KADUNA 120 KEBBI 130 NIGER 140 FCT-ABUJA 150 NASARAWA 160 PLATEAU 170 TARABA 180 BENUE 190 KOGI 200 KWARA 210 OYO 220 OSUN 230 EKITI 240 ONDO 250 EDO 260 ANAMBRA 270 ENUGU 280 EBONYI 290 CROSS RIVER 300 AKWA IBOM 310 ABIA 320 IMO 330 RIVERS 340 BAYELSA 350 DELTA 360 LAGOS 370 OGUN Local government area Locality Enumeration area Areas for LLIN malaria campaigns 1 World bank boosters 2 Others with campaigns 3 Others with no campaigns Language of questionnaire 1 Hausa 2 Yoruba 3 Igbo 4 English 6 Other Language of interview 1 Hausa 2 Yoruba 3 Igbo 4 English 6 Other Respondent's native language 1 Hausa 2 Yoruba 3 Igbo 4 English 6 Other Translator used 1 Not at all 2 Sometime 3 All the time Received antenatal care during current pregnancy 0 No 1 Yes Antenatal care current pregnancy: doctor 0 No 1 Yes Antenatal care current pregnancy: nurse/midwife 0 No 1 Yes Antenatal care current pregnancy: auxiliary midwife 0 No 1 Yes Antenatal care current pregnancy: health worker (CHEW) 0 No 1 Yes Antenatal care current pregnancy: traditional birth attendant 0 No 1 Yes Antenatal care current pregnancy: community resource person 0 No 1 Yes Antenatal care current pregnancy: other 0 No 1 Yes During current pregnancy took drugs to prevent malaria 0 No 1 Yes 8 Don't know During current pregnancy took: SP/fansidar for malaria 0 No 1 Yes 8 Don't know During current pregnancy took: choloroquine 0 No 1 Yes 8 Don't know During current pregnancy took: other 0 No 1 Yes 8 Don't know During current pregnancy took: don't know 0 No 1 Yes 8 Don't know Months pregnant when took drugs for malaria 98 DK Times took SP/Fansidar during current pregnancy 98 Don't know Case Identification Case Identification Have ever heard of malaria 0 No 1 Yes Malaria symptoms: fever 0 No 1 Yes Malaria symptoms: chills/shivering 0 No 1 Yes Malaria symptoms: headache 0 No 1 Yes Malaria symptoms: joint paint 0 No 1 Yes Malaria symptoms: poor appetite 0 No 1 Yes Malaria symptoms: vomiting 0 No 1 Yes Malaria symptoms: convulsion 0 No 1 Yes Malaria symptoms: other 0 No 1 Yes Malaria symptoms: don't know 0 No 1 Yes Person most likely to get malaria: children 0 No 1 Yes Person most likely to get malaria: pregnant women 0 No 1 Yes Person most likely to get malaria: adults 0 No 1 Yes Person most likely to get malaria: elderly 0 No 1 Yes Person most likely to get malaria: everyone 0 No 1 Yes Person most likely to get malaria: don't know 0 No 1 Yes What causes malaria: mosquitoes 0 No 1 Yes What causes malaria: stagnant water 0 No 1 Yes What causes malaria: dirty sorroundings 0 No 1 Yes What causes malaria: beer 0 No 1 Yes What causes malaria: certain foods 0 No 1 Yes What causes malaria: other 0 No 1 Yes What causes malaria: don't know 0 No 1 Yes Are there ways to avoid getting malaria 0 No 1 Yes Malaria can be avoided by: sleep under mosquito net 0 No 1 Yes Malaria can be avoided by: sleep under an ITN/LLIN 0 No 1 Yes Malaria can be avoided by: use insecticide spray 0 No 1 Yes Malaria can be avoided by: use mosquito coils 0 No 1 Yes Malaria can be avoided by: keep doors/windows closed 0 No 1 Yes Malaria can be avoided by: use insect repellant 0 No 1 Yes Malaria can be avoided by: keep sorroundings clean 0 No 1 Yes Malaria can be avoided by: cut the grass 0 No 1 Yes Malaria can be avoided by: eliminate stagnant water 0 No 1 Yes Malaria can be avoided by: other 0 No 1 Yes Malaria can be avoided by: don't know 0 No 1 Yes Pregnant women can avoid malaria by: sleep under mosquito net 0 No 1 Yes Pregnant women can avoid malaria by: sleep under an ITN/LLIN 0 No 1 Yes Pregnant women can avoid malaria by: keep environment clean 0 No 1 Yes Pregnant women can avoid malaria by: take SP/Fansidar during pregnancy 0 No 1 Yes Pregnant women can avoid malaria by: take DARAPRIM medicine 0 No 1 Yes Pregnant women can avoid malaria by: other 0 No 1 Yes Pregnant women can avoid malaria by: don't know 0 No 1 Yes Can malaria be treated 0 No 1 Yes 8 Don't know Drug used to treat adults for malaria: SP/Fansidar 0 No 1 Yes Drug used to treat adults for malaria: chloroquine 0 No 1 Yes Drug used to treat adults for malaria: quinine 0 No 1 Yes Drug used to treat adults for malaria: ACT 0 No 1 Yes Drug used to treat adults for malaria: aspirin, panadol, paracetamol 0 No 1 Yes Drug used to treat adults for malaria: other 0 No 1 Yes Drug used to treat adults for malaria: don't know 0 No 1 Yes Drug used to treat children for malaria: SP/Fansidar 0 No 1 Yes Drug used to treat children for malaria: chloroquine 0 No 1 Yes Drug used to treat children for malaria: quinine 0 No 1 Yes Drug used to treat children for malaria: ACT 0 No 1 Yes Drug used to treat children for malaria: aspirin, panadol, paracetamol 0 No 1 Yes Drug used to treat children for malaria: other 0 No 1 Yes Drug used to treat children for malaria: don't know 0 No 1 Yes Last four weeks heard/seen messages about malaria 0 No 1 Yes Have heard/seen the message: mosquito backing baby 0 No 1 Yes Have heard/seen the message: man playing drafts with mosquito 0 No 1 Yes Have heard/seen the message: mosquito appears in family picture 0 No 1 Yes Have heard/seen the message: woman wearing mosquito net as clothes 0 No 1 Yes Have heard/seen the message: friend slaps big friend (Mr. Calypso) 0 No 1 Yes Have heard/seen the message: mosquito takes child while family sleeps 0 No 1 Yes Have heard/seen the message: woman wearing mosquito net as clothes (TV) 0 No 1 Yes Have heard/seen the message: woman tells husband pass malaria 0 No 1 Yes Have heard/seen the message: the king get slapped 0 No 1 Yes Have heard/seen the message: lornart versus malaria 0 No 1 Yes Have heard/seen the message: radio 0 No 1 Yes Have heard/seen the message: other 0 No 1 Yes Have heard/seen the message: don't know 0 No 1 Yes Message were seen/heard at: radio 0 No 1 Yes Message were seen/heard at: television 0 No 1 Yes Message were seen/heard at: community health worker (CHEW) 0 No 1 Yes Message were seen/heard at: community oriented resource person 0 No 1 Yes Message were seen/heard at: role model/caregiver/community worker 0 No 1 Yes Message were seen/heard at: mosque/church 0 No 1 Yes Message were seen/heard at: town announcer 0 No 1 Yes Message were seen/heard at: community event 0 No 1 Yes Message were seen/heard at: billboard 0 No 1 Yes Message were seen/heard at: poster 0 No 1 Yes Message were seen/heard at: T-shirt 0 No 1 Yes Message were seen/heard at: leaflet/fact sheet/brochure 0 No 1 Yes Message were seen/heard at: relative/friend/school 0 No 1 Yes Message were seen/heard at: other 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 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/cough 0 No 1 Yes Chloroquine taken for fever/cough 0 No 1 Yes Amodiaquine taken for fever/cough 0 No 1 Yes Quinine taken for fever/cough 0 No 1 Yes Combination with artemisinin taken for fever/cough 0 No 1 Yes NA - CS antimalarial 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 Antibiotic pill/syrup taken for fever/cough 0 No 1 Yes Antibiotic 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 taken for fever/cough 0 No 1 Yes NA - CS other taken for fever/cough 0 No 1 Yes Other taken for fever/cough 0 No 1 Yes Nothing taken for fever/cough 0 No 1 Yes, nothing taken Don't know if or what was taken for fever/cough 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 anti-malarial use 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know 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 Days ago fever started 0 Less than 1 day 98 DK