MOZ_2018_MIS_v01_M
DDI_MOZ_2018_MIS_v01_M
Development Economics Data Group
2019-08-05
Nesstar Publisher
Version 01 (August 2019). Metadata is excerpted from "Moçambique Inquérito Nacional sobre Indicadores de Malária (IIM) 2018" Report.
Inquérito Nacional sobre Indicadores de Malária 2018
MIS / IIM 2018
MOZ_2018_MIS_v01_M
Instituto Nacional de Saúde (INS)
Programa Nacional de Controlo da Malária
Instituto Nacional de Estatística
ICF
Nesstar Publisher
Governo de Moçambique
Iniciativa do Presidente dos Estados Unidos da América Contra a Malária
Agência dos Estados Unidos para o Desenvolvimento Internacional
Fundo das Nações Unidas para a Infância
Information about The DHS Program
General Inquiries
Data and Data Related Resources
Demographic and Health Survey, Special - Malaria Indicator Survey
O Inquérito Nacional sobre Indicadores de Malária (IIM) é um inquérito com representatividade nacional e com uma amostra de aproximadamente 6.272 famílias. O inquérito fornece informações sobre os principais indicadores de prevenção ou controlo da malária, tais como a proporção de agregados familiares que têm pelo menos uma rede tratada com insecticida (RTI). Entre as crianças, o IIM estimou a proporção de crianças menores de 5 anos de idade que dormiram debaixo de uma rede mosquiteira na noite anterior ao inquérito e se a rede era uma RTI. Além disso, o inquérito avaliou a prevalência de malária entre crianças de 6-59 meses da idade. Entre as mulheres grávidas, o inquérito estimou a proporção de mulheres grávidas que dormiram debaixo de uma rede mosquiteira na noite anterior ao inquérito e que receberam tratamento
The data dictionary was generated from hierarchical data that was downloaded from the DHS website (http://dhsprogram.com).
O Inquérito sobre Indicadores de Malária (IIM 2018) é um inquérito de base populacional, com representatividade a nível nacional, urbano e rural concebido de acordo com as directrizes do grupo de trabalho RBM-MERG (Roll Back Malaria Monitoring and Evaluation Working Group). O objectivo principal do IIM 2018 é fornecer estimativas actualizadas de indicadores demográficos básicos e de saúde, relacionados com a malária. Especificamente, o IIM 2018 recolheu dados sobre redes mosquiteiras, tratamento intermitente e preventivo da malária em mulheres grávidas (TIP) e procura de cuidados e tratamento da febre nas crianças. As crianças de 6-59 meses de idade foram igualmente submetidas a testes de diagnóstico rápido da malária e testes de anemia. As mulheres entrevistadas foram avaliadas quanto ao seu conhecimentos sobre prevenção, diagnóstico e tratamento da malária. As informações produzidas através do IIM 2018 servirão de suporte aos decisores de políticas de saúde e gestores de programas, na avaliação e concepção de estratégias e intervenções para melhorar a saúde da população no país.
Mozambique
National coverage
Sample survey data [ssd]
Computer Assisted Personal Interview [capi]
Os dados foram recolhidos com recurso a três tipos de questionários: o questionário para agregados familiares, o questionário para mulheres e o questionário de biomarcadores. Os questionários foram adaptados dos questionários padrão do RBM-MERG, de modo a reflectir as questões demográficas e de saúde relevantes para Moçambique. As modificações foram determinadas ao longo de uma série de reuniões técnicas com vários técnicos e parceiros governamentais e não-governamentais do INS e PNCM. Os questionários traduzidos para o português foram incorporados nos tablets através do programa CSpro, permitindo aos inquiridores o uso de sistema de entrevista assistida por computador, denominado CAPI. Além disso, todas as pessoas que implementaram no campo o IIM 2018 preencheram um questionário para inquiridores, composto por duas páginas.
Entre os agregados familiares presentes, 6.196 foram entrevistados com sucesso, representando uma taxa de resposta de agregados familiares total de 99%. Nos agregados familiares entrevistados, 6.290 mulheres elegíveis foram identificadas como elegíveis para a entrevista individual e 6.184 mulheres foram entrevistadas com sucesso, dando uma taxa de resposta de 98,3%.
The DHS Program
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
RECH0.NSDstat
6370
51
Nesstar 200801
RECH1.NSDstat
36672
11
Nesstar 200801
RECH2.NSDstat
6322
55
Nesstar 200801
RECH3.NSDstat
6370
10
Nesstar 200801
RECH6.NSDstat
6321
29
Nesstar 200801
RECHML.NSDstat
11030
20
Nesstar 200801
RECHMH.NSDstat
36672
41
Nesstar 200801
REC01.NSDstat
7674
39
Nesstar 200801
REC11.NSDstat
7628
43
Nesstar 200801
REC21.NSDstat
7163
23
Nesstar 200801
REC22.NSDstat
7628
23
Nesstar 200801
REC41.NSDstat
4521
27
Nesstar 200801
REC42.NSDstat
7628
9
Nesstar 200801
REC4A.NSDstat
6061
34
Nesstar 200801
REC44.NSDstat
6061
14
Nesstar 200801
REC81.NSDstat
7628
8
Nesstar 200801
RECML.NSDstat
6061
70
Nesstar 200801
REC91.NSDstat
7674
71
Nesstar 200801
FWRECORD.NSDstat
Fieldworker data
48
34
Nesstar 200801
Case Identification
Country code and phase
Cluster number
Household number
Respondent's line number (answering Household questionnaire)
0
Incomplete household
Ultimate area unit
Household sample weight (6 decimals)
Month of interview
Year of interview
Date of interview (CMC)
Date of interview Century Day Code (CDC)
Number of household members
Number of eligible women in household
NA - Number of eligible men in household
Number of de jure members
Number of de facto members
Number of children 5 and under (de jure)
Result of household interview
1
Completed
2
No Household member/no competent member at home
3
Entire Household absent for extended period of time
4
Postponed
5
Refused
6
Dwelling vacant or address not a dwelling
7
Dwelling destroyed
8
Dwelling not found
9
Other
Day of interview
Number of visits
Interviewer identification
Keyer identification
Ever-married sample
0
All woman sample
1
Ever married sample
Primary sampling unit
Sample strata for sampling errors
1
Boucle Du Mouhoun - urbain
2
Boucle Du Mouhoun - rural
3
Cascades - urbain
4
Cascades - rural
5
Centre - urbain
6
Centre - rural
7
8
Centre Est - rural
9
Centre Nord - urbain
10
Centre Nord - rural
11
Centre Ouest - urbain
12
Centre Ouest - rural
13
Centre Sud - urbain
14
Centre Sud - rural
15
Est - urbain
16
Est - rural
17
Hauts-Bassins - urbain
18
Hauts-Bassins - rural
19
Nord - urbain
20
Nord - rural
21
Plateau Central - urbain
22
Plateau Central - rural
23
Sahel - urbain
24
Sahel - rural
25
Sud Ouest - urbain
26
Sud Ouest - rural
Stratification used in sample design
1
Boucle Du Mouhoun - urbain
2
Boucle Du Mouhoun - rural
3
Cascades - urbain
4
Cascades - rural
5
Centre - urbain
6
Centre - rural
7
8
Centre Est - rural
9
Centre Nord - urbain
10
Centre Nord - rural
11
Centre Ouest - urbain
12
Centre Ouest - rural
13
Centre Sud - urbain
14
Centre Sud - rural
15
Est - urbain
16
Est - rural
17
Hauts-Bassins - urbain
18
Hauts-Bassins - rural
19
Nord - urbain
20
Nord - rural
21
Plateau Central - urbain
22
Plateau Central - rural
23
Sahel - urbain
24
Sahel - rural
25
Sud Ouest - urbain
26
Sud Ouest - rural
Region
1
Boucle Du Mouhoun
2
Cascades
3
Centre
4
Centre Est
5
Centre Nord
6
Centre Ouest
7
Centre Sud
8
Est
9
Hauts-Bassins
10
Nord
11
Plateau Central
12
Sahel
13
Sud Ouest
Type of place of residence
1
Urban
2
Rural
Place of residence
0
Ougadougou
1
Other cities
2
Town
3
Rural
Household selected for male interview
0
Not selected
1
Men's survey
2
Husband's survey
Household weight for male subsample (6 decimals)
Field supervisor
NA - Field editor
Office editor
Number of eligible children for anemia and malaria
NA - Cluster altitude in meters
NA - Total adults measured
Household selected for hemoglobin
0
Not selected
1
Selected
Language of questionnaire
1
French
Language of interview
1
French
2
Moore
3
Peulh/Fulfulde
4
Dioula
5
Gulmantchema
6
Bissa
7
Dagara
8
Other
Native language of respondent
1
French
2
Moore
3
Peulh/Fulfulde
4
Dioula
5
Gulmantchema
6
Bissa
7
Dagara
8
Other
Translator used
0
No
1
Yes
Time interview started (hhmm - 24 hour clock)
Time interview ended (hhmm - 24 hour clock)
Length of interview in minutes
95
95+
96
2+ visits
97
Inconsistent
Number of visits for biomarker
Day of biomarker visit
Month of biomarker visit
Year of biomarker visit
Date of biomarker (CMC)
Date of biomarker Century Day Code (CDC)
Case Identification
Line number
Relationship to head
1
Head
2
Wife or husband
3
Son/daughter
4
Son/daughter-in-law
5
Grandchild
6
Parent
7
Parent-in-law
8
Brother/sister
9
Co-spouse
10
Other relative
11
Adopted/foster child/child of wife / husband
12
Not related
13
Niece/nephew by blood
14
Niece/nephew by marriage
98
Don't know
Usual resident
0
No
1
Yes
Slept last night
0
No
1
Yes
Sex of household member
1
Male
2
Female
Age of household members
95
95+
98
Don't know
Current marital status
0
Never married
1
Married
2
Living together
3
Widowed
4
Divorced
5
Not living together
Currently, formerly, never married
0
Never married
1
Currently married
2
Formerly/ever married
Eligibility for female interview
0
Not eligible
1
Eligible
Children eligibility for height/weight and hemoglobin
0
Not eligible
1
Eligible
Case Identification
Source of drinking water
10
PIPED WATER
11
Piped into dwelling
12
Piped to yard/plot
13
Piped to neighbor
14
Public tap/standpipe
20
TUBE WELL WATER
21
Tube well or borehole
30
DUG WELL (OPEN/PROTECTED)
31
Protected well
32
Unprotected well
40
SURFACE FROM SPRING
41
Protected spring
42
Unprotected spring
43
River/dam/lake/ponds/stream/canal/irrigation channel
51
Rainwater
61
Tanker truck
62
Cart with small tank
71
Bottled water
96
Other
Source of non-drinking water
10
PIPED WATER
11
Piped into dwelling
12
Piped to yard/plot
13
Piped to neighbor
14
Public tap/standpipe
20
TUBE WELL WATER
21
Tube well or borehole
30
DUG WELL (OPEN/PROTECTED)
31
Protected well
32
Unprotected well
40
SURFACE FROM SPRING
41
Protected spring
42
Unprotected spring
43
River/dam/lake/ponds/stream/canal/irrigation channel
51
Rainwater
61
Tanker truck
62
Cart with small tank
71
Bottled water
96
Other
NA - Water not available for at least a day last two weeks
0
No, not interrupted for a full day
1
Yes, interrupted for a full day or more
8
Don't know
Time to get to water source (minutes)
996
On premises
998
Don't know
Type of toilet facility
10
FLUSH TOILET
11
Flush to piped sewer system
12
Flush to septic tank
13
Flush to pit latrine
14
Flush to somewhere else
15
Flush, don't know where
20
PIT TOILET LATRINE
21
Ventilated Improved Pit latrine (VIP)
22
Pit latrine with slab
23
Pit latrine without slab/open pit
30
NO FACILITY
31
No facility/bush/field
41
Composting toilet
42
Bucket toilet
43
Hanging toilet/latrine
96
Other
Has electricity
0
No
1
Yes
Has radio
0
No
1
Yes
Has television
0
No
1
Yes
Has refrigerator/Freezer
0
No
1
Yes
Has bicycle
0
No
1
Yes
Has motorcycle/scooter
0
No
1
Yes
Has car/truck
0
No
1
Yes
Main floor material
10
NATURAL
11
Earth/sand
12
Dung
20
RUDIMENTARY
21
Wood planks
22
Palm/Bamboo
30
FINISHED
31
Parquet / Polished wood
32
Vynil or asphalt strips
33
Ceramic tiles
34
Cement
35
Carpet
96
Other
Main wall material
10
NATURAL
11
No walls
12
Cane/palm/leaf
13
Dirt
20
RUDIMENTARY
21
Bamboo with mud
22
Stone with mud
23
Uncovered adobe
24
Plywood
25
Cardboard
26
Reused wood
30
FINISHED
31
Cement
32
Stone with lime/cement
33
Bricks
34
Cement blocks
35
Covered adobe
36
Wood planks/shingles
96
Other
Main roof material
10
NATURAL
11
No roof
12
Thatch/palm leaf
13
Sod
20
RUDIMENTARY
21
Rustic mat
22
Palm/bamboo
23
Wood planks
24
Cardboard
30
FINISHED
31
Sheet Metal
32
Wood
33
Zinc/Cement fiber
34
Tiles/slate
35
Cement
36
Shingles
96
Other
Number of rooms used for sleeping
Relationship structure
0
No adults
1
One adult
2
Two adults, opposite sex
3
Two adults, same sex
4
Three+ related adults
5
Unrelated adults
Line number of head of household
Sex of head of household
1
Male
2
Female
Age of head of household
97
97+
98
Don't know
Has telephone (land-line)
0
No
1
Yes
Share toilet with other households
0
No
1
Yes
Type of cooking fuel
1
Electricity
2
LPG
3
Natural gas
4
Biogas
5
Kerosene
6
Coal, lignite
7
Charcoal
8
Wood
9
Straw/shrubs/grass
10
Agricultural crop
11
Animal dung
95
No food cooked in house
96
Other
Has mosquito bed net for sleeping
0
No
1
Yes
Children under 5 slept under mosquito bed net last night
0
No
1
All children
2
Some children
3
No net in household
Location of source for water
1
In own dwelling
2
In own yard/plot
3
Elsewhere
Number of households sharing toilet
95
10 or more households
98
Don't know
Has mobile telephone
0
No
1
Yes
Has watch
0
No
1
Yes
Has animal-drawn cart
0
No
1
Yes
Has boat with a motor
0
No
1
Yes
Has a computer
0
No
1
Yes
Owns land usable for agriculture
0
No
1
Yes
Hectares of agricultural land (1 decimal)
950
95 or more
998
Unknown
Owns livestock, herds or farm animals
0
No
1
Yes
Owns cattle
0
None
95
95 or more
98
Unknown
Owns cows/ bulls
0
None
95
95 or more
98
Unknown
Owns horses/ donkeys/ mules
0
None
95
95 or more
98
Unknown
Owns goats
0
None
95
95 or more
98
Unknown
Owns sheep
0
None
95
95 or more
98
Unknown
Owns chickens/poultry
0
None
95
95 or more
98
Unknown
Owns porks
0
None
95
95 or more
98
Unknown
NA - Owns CS
0
None
95
95 or more
98
Unknown
NA - Owns CS
0
None
95
95 or more
98
Unknown
NA - Owns CS
0
None
95
95 or more
98
Unknown
NA - Owns CS
0
None
95
95 or more
98
Unknown
Has bank account
0
No
1
Yes
Wealth index combined
1
Poorest
2
Poorer
3
Middle
4
Richer
5
Richest
Wealth index factor score combined (5 decimals)
Wealth index for urban/rural
1
Poorest
2
Poorer
3
Middle
4
Richer
5
Richest
Wealth index factor score for urban/rural (5 decimals)
Number of mosquito bed nets
98
Don't know
Number of mosquito bed nets with specific information
Number of children under mosquito bed net previous night
Case Identification
Concession
Province
1
Bam
2
Bazega
3
Bougouriba
4
Boulgou
5
Boulkiemde
6
Comoe
7
Ganzourgou
8
Gnagna
9
Gourma
10
Houet
11
Kadiogo
12
Kenedougou
13
Kossi
14
Kouritenga
15
Mouhoun
16
Nahouri
17
Namentenga
18
Oubritenga
19
Oudalan
20
Passore
21
Poni
22
Sanguie
23
Sanmatenga
24
Seno
25
Sissili
26
Soum
27
Sourou
28
Tapoa
29
Yatenga
30
Zoundweogo
31
Bale
32
Banwa
33
Ioba
34
Komandjoari
35
Kompienga
36
Koulpelogo
37
Kourweogo
38
Leraba
39
Loroum
40
Nayala
41
Noumbiel
42
Tuy
43
Yagha
44
Ziro
45
Zondoma
Place of residence
1
Ougadougou
2
Other towns
3
Total urban
4
Rural
Has table/ chair
0
No
1
Yes
Has closet/cabinet to keep books
0
No
1
Yes
Has stove/cooker
0
No
1
Yes
Has hunting gun
0
No
1
Yes
Has plow
0
No
1
Yes
Has canoe
0
No
1
Yes
Case Identification
Index to Household Schedule
Child's age in months
Child's age in days
Day of birth
97
Inconsistent
98
Don't know
Date measured (day)
Date measured (month)
Date measured (year)
Century Day Code (CDC) of measurement
Fieldworker measurer code
Sex
1
Male
2
Female
Month of birth
97
Inconsistent
98
Don't know
Year of birth
9997
Inconsistent
9998
Don't know
Date of birth (CMC)
Century Day Code (CDC) of birth
Completeness of HC32 information
0
Month, year and day
1
Month and year - information complete
2
Month and age - year imputed
3
Year and age - month imputed
5
Year - age/month imputed
6
Age - year/month imputed
7
Month - age/year imputed
8
None - all imputed
Line number of parent/caretaker
0
Not in household
Read consent statement - hemoglobin
1
Granted
2
Refused
3
Not present/other
Hemoglobin level (g/dl - 1 decimal)
994
Not present
995
Refused
996
Other
Result of measurement - hemoglobin
0
Measured
3
Not present/other
4
Refused
6
Other
Hemoglobin level adjusted for altitude (g/dl - 1 decimal)
997
Inconsistent
Anemia level
1
Severe
2
Moderate
3
Mild
4
Not anemic
NA - Agrees to referral - anemia
0
No
1
Yes
Mother's line number (woman's questionnaire)
993
Mother not de facto
994
Incomplete woman's interview
995
Not in household
Mother's highest educational level
0
No education
1
Primary
2
Secondary
3
Higher
8
Don't know
Mother's highest year of education
98
Don't know
Preceding birth interval (months)
Birth order number
Mother's highest educational level (for preliminary and final report)
5911
410
0
No education
4538
1
Primary
772
2
Secondary +
579
8
Don't know
0
9
22
Sysmiss
410
Case Identification
Mosquito Bed Net Designation Number
Net observed by interviewer
0
Not seen
1
Yes, seen
Months ago net obtained
96
More than 3 years ago
98
Don't know
NA - Net treated with insecticide when bought
0
No
1
Yes
8
Don't know
Net treatment status
0
Not pretreated
1
Pretreated, permanent treatment
2
Pretreated, requiring future treatment
3
Not pretreated, came with kit and treated at home
4
Pretreated, treatment type not known
6
Other
8
Don't know
Brand of net
10
Long-lasting insecticide treated nets (LLIN)
11
Olyset
12
Permanet
13
Interceptor
14
Serena
15
Duranete
19
Other/Don't know brand
96
Other brand
98
DK brand
Net treated since receiving
0
No
1
Yes
2
Permanent/LLIN net
8
Not sure
NA - Time since last re-treatment (months)
95
25+ months ago
96
More than 3 years ago
98
Don't know
Insecticide-Treated Net (ITN)
0
No, don't know
1
Yes
Number of persons who slept under this net
5
5+
Someone slept under this net last night
0
No
1
Yes
8
Not sure (DK)
Line number of person who slept in this net
0
No one
Line number of person who slept in this net
Line number of person who slept in this net
Line number of person who slept in this net
NA - Line number of person who slept in this net
Obtained net from campaign, antenatal or immunization visit
0
No
1
Yes, campaign
2
Yes, antenatal care
3
Yes, immunization visit
Place where net was obtained
10
Government health facility
11
Government health facility
20
Private health facility
21
Private health facility
30
Other sources
31
Pharmacy
32
Shop/market
33
CHW
34
Religious institution
35
School
96
Other
98
Don't know
Obtained net from campaign, antenatal or immunization visit
0
No
1
Yes, campaign 2010
2
Yes, campaign 2013
3
Yes, campaign 2016
4
Yes, campaign but year unknown
5
Yes, antenatal care
6
Yes, immunization visit
Case Identification
Index to Household Schedule
Type of Mosquito Bed Net(s) person slept under last night
0
Did not sleep under a net
1
Only treated (ITN) nets
2
Both treated (ITN) and untreated nets
3
Only untreated nets
Net Designation Number (HMLIDX) for 1st net person slept under last night
0
Did not sleep under net
Net Designation Number (HMLIDX) for 2nd net person slept under last night
Net Designation Number (HMLIDX) for 3rd net person slept under last night
Corrected age from Individual file
97
97+
98
Don't know
Age in months (for children)
Flag for age from Individual file
0
No data from Individual file
1
Month and year - information complete
2
Month and age - year imputed
3
Year and age - month imputed
4
Year and age - year ignored
5
Year - age/month imputed
6
Age - year/month imputed
7
Month - age/year imputed
8
None - all imputed
Pregnancy status from Individual file
0
Not pregnant, don't know
1
Pregnant
Person slept under an ever-treated net
0
No
1
Yes
Person slept under an LLIN net
0
No
1
Yes
Line number of parent/caretaker (for malaria testing)
0
Not in household
Read consent statement for malaria
1
Granted
2
Parent/other responsible refused
3
Respondent refused
4
Adult/parent not present
5
Minor not present
Final result of malaria from blood smear test
0
Negative
1
Positive
6
Test undetermined
7
Sample not found in lab database
NA - Presence of species: falciparum (Pf)
0
No
1
Yes
NA - Presence of species: malariae (Pm)
0
No
1
Yes
NA - Presence of species: ovale (Po)
0
No
1
Yes
NA - Presence of species: vivax (Pv)
0
No
1
Yes
NA - Presence of species: CS
0
No
1
Yes
NA - Presence of species: CS
0
No
1
Yes
NA - Presence of species: CS
0
No
1
Yes
Result of malaria measurement
0
Measured
3
Not present
4
Refused
6
Other
Bar code for blood smear sample
Result of malaria rapid test
0
Negative
1
Positive
6
Other
Fieldworker measurer code for malaria
Result of malaria RDT
1
Positive falciparum
2
Positive, species (OMV/PAN)
3
Positive FP/(OMV/PAN)
4
Negative
6
Other
9
Missing
Anemia level for children without malaria
1
Below 8.0 G/DL severe anemia
2
8.0 G/DL or above
3
Not present
4
Refused
6
Other
Child suffering any illnesses or symptoms: Extreme weakness
0
No
1
Yes
Child suffering any illnesses or symptoms: heart problems
0
No
1
Yes
Child suffering any illnesses or symptoms: Loss of conciousness
0
No
1
Yes
Child suffering any illnesses or symptoms: Severe respiratory faillure
0
No
1
Yes
Child suffering any illnesses or symptoms: Convulsions
0
No
1
Yes
Child suffering any illnesses or symptoms: Abnormal bleeding
0
No
1
Yes
Child suffering any illnesses or symptoms: Jaundice
0
No
1
Yes
Child suffering any illnesses or symptoms: Black urine / brown
0
No
1
Yes
Anemia level for children with malaria
1
Below 8.0 G/DL severe anemia
2
8.0 G/DL or above
3
Not present
4
Refused
6
Other
Taking ACT given by a doctor/health center to treat the malaria
0
No
1
Yes
Accepted medicine for malaria treatment
1
Accepted medicine
2
Refused
6
Other
Accepted medicine for malaria
1
Accepted medicine
2
Refused
6
Other
Anemia level for children with malaria and symptoms
1
Below 8.0 G/DL severe anemia
2
8.0 G/DL or above
3
Not present
4
Refused
6
Other
Case Identification
Case Identification
Country code and phase
Cluster number
Household number
Respondent's line number
Ultimate area unit
Women's individual sample weight (6 decimals)
Month of interview
Year of interview
Date of interview (CMC)
Date of interview Century Day Code (CDC)
Respondent's month of birth
Respondent's year of birth
Date of birth (CMC)
Respondent's current age
Age in 5-year groups
1
15-19
2
20-24
3
25-29
4
30-34
5
35-39
6
40-44
7
45-49
Completeness of age information
1
Month and year - information complete
2
Month and age - year imputed
3
Year and age - month imputed
4
Year and age - year ignored
5
Year - age/month imputed
6
Age - year/month imputed
7
Month - age/year imputed
8
None - all imputed
Result of individual interview
1
Completed
2
Not at home
3
Postponed
4
Refused
5
Partially completed
6
Respondent incapacitated
7
Other
Day of interview
Primary sampling unit
Sample strata for sampling errors
1
Boucle Du Mouhoun - urbain
2
Boucle Du Mouhoun - rural
3
Cascades - urbain
4
Cascades - rural
5
Centre - urbain
6
Centre - rural
7
8
Centre Est - rural
9
Centre Nord - urbain
10
Centre Nord - rural
11
Centre Ouest - urbain
12
Centre Ouest - rural
13
Centre Sud - urbain
14
Centre Sud - rural
15
Est - urbain
16
Est - rural
17
Hauts-Bassins - urbain
18
Hauts-Bassins - rural
19
Nord - urbain
20
Nord - rural
21
Plateau Central - urbain
22
Plateau Central - rural
23
Sahel - urbain
24
Sahel - rural
25
Sud Ouest - urbain
26
Sud Ouest - rural
Stratification used in sample design
1
Boucle Du Mouhoun - urbain
2
Boucle Du Mouhoun - rural
3
Cascades - urbain
4
Cascades - rural
5
Centre - urbain
6
Centre - rural
7
8
Centre Est - rural
9
Centre Nord - urbain
10
Centre Nord - rural
11
Centre Ouest - urbain
12
Centre Ouest - rural
13
Centre Sud - urbain
14
Centre Sud - rural
15
Est - urbain
16
Est - rural
17
Hauts-Bassins - urbain
18
Hauts-Bassins - rural
19
Nord - urbain
20
Nord - rural
21
Plateau Central - urbain
22
Plateau Central - rural
23
Sahel - urbain
24
Sahel - rural
25
Sud Ouest - urbain
26
Sud Ouest - rural
Region
1
Boucle Du Mouhoun
2
Cascades
3
Centre
4
Centre Est
5
Centre Nord
6
Centre Ouest
7
Centre Sud
8
Est
9
Hauts-Bassins
10
Nord
11
Plateau Central
12
Sahel
13
Sud Ouest
Type of place of residence
1
Urban
2
Rural
De facto place of residence
0
Ougadougou
1
Other cities
2
Town
3
Rural
Number of visits
Interviewer identification
Keyer identification
Field supervisor
NA - Field editor
Office editor
NA - Line number of husband
0
Husband not in household
NA - Cluster altitude in meters
Household selected for hemoglobin
0
Not selected
1
Selected
Language of questionnaire
1
French
Language of interview
1
French
2
Moore
3
Peulh/Fulfulde
4
Dioula
5
Gulmantchema
6
Bissa
7
Dagara
8
Other
Native language of respondent
1
French
2
Moore
3
Peulh/Fulfulde
4
Dioula
5
Gulmantchema
6
Bissa
7
Dagara
8
Other
Translator used
0
No
1
Yes
Case Identification
Case Identification
Region
1
Boucle Du Mouhoun
2
Cascades
3
Centre
4
Centre Est
5
Centre Nord
6
Centre Ouest
7
Centre Sud
8
Est
9
Hauts-Bassins
10
Nord
11
Plateau Central
12
Sahel
13
Sud Ouest
Type of place of residence
1
Urban
2
Rural
Highest educational level
0
No education
1
Primary
2
Secondary
3
Higher
Highest year of education
0
No years completed at level V106
Source of drinking water
10
PIPED WATER
11
Piped into dwelling
12
Piped to yard/plot
13
Piped to neighbor
14
Public tap/standpipe
20
TUBE WELL WATER
21
Tube well or borehole
30
DUG WELL (OPEN/PROTECTED)
31
Protected well
32
Unprotected well
40
SURFACE WATER
41
Protected spring
42
Unprotected spring
43
River/dam/lake/ponds/stream/canal/irrigation channel
51
Rainwater
61
Tanker truck
62
Cart with small tank
71
Bottled water
96
Other
97
Not a dejure resident
Time to get to water source
996
On premises
997
Not a dejure resident
998
Don't know
Type of toilet facility
10
FLUSH TOILET
11
Flush to piped sewer system
12
Flush to septic tank
13
Flush to pit latrine
14
Flush to somewhere else
15
Flush, don't know where
20
PIT TOILET LATRINE
21
Ventilated Improved Pit latrine (VIP)
22
Pit latrine with slab
23
Pit latrine without slab/open pit
30
NO FACILITY
31
No facility/bush/field
41
Composting toilet
42
Bucket toilet
43
Hanging toilet/latrine
96
Other
97
Not a dejure resident
Household has: electricity
0
No
1
Yes
7
Not a dejure resident
Household has: radio
0
No
1
Yes
7
Not a dejure resident
Household has: television
0
No
1
Yes
7
Not a dejure resident
Household has: refrigerator
0
No
1
Yes
7
Not a dejure resident
Household has: bicycle
0
No
1
Yes
7
Not a dejure resident
Household has: motorcycle/scooter
0
No
1
Yes
7
Not a dejure resident
Household has: car/truck
0
No
1
Yes
7
Not a dejure resident
Main floor material
10
NATURAL
11
Earth/sand
12
Dung
20
RUDIMENTARY
21
Wood planks
22
Palm/Bamboo
30
FINISHED
31
Parquet / Polished wood
32
Vynil or asphalt strips
33
Ceramic tiles
34
Cement
35
Carpet
96
Other
97
Not a dejure resident
Main wall material
10
NATURAL
11
No walls
12
Cane/palm/leaf
13
Dirt
20
RUDIMENTARY
21
Bamboo with mud
22
Stone with mud
23
Uncovered adobe
24
Plywood
25
Cardboard
26
Reused wood
30
FINISHED
31
Cement
32
Stone with lime/cement
33
Bricks
34
Cement blocks
35
Covered adobe
36
Wood planks/shingles
96
Other
97
Not a dejure resident
Main roof material
10
NATURAL
11
No roof
12
Thatch/palm leaf
13
Sod
20
RUDIMENTARY
21
Rustic mat
22
Palm/bamboo
23
Wood planks
24
Cardboard
30
FINISHED
31
Sheet Metal
32
Wood
33
Zinc/Cement fiber
34
Tiles/slate
35
Cement
36
Shingles
96
Other
97
Not a dejure resident
Religion
1
Muslim
2
Catholic
3
Protestant
4
Traditional/Animist
5
Without religion/None
96
Other
Ethnicity
1
Bobo
2
Dioula
3
Fulfulde/Peulh
4
Gourmantche
5
Gourounsi
6
Lobi
7
Mossi
8
Senoufo
9
Touareg/Bella
10
Dagara
11
Bissa
12
ECOWAS Countries
13
Other African countries
14
Other nationalities
96
Other ethnic
98
Don't know
Education in single years
97
Inconsistent
De facto place of residence
0
Ougadougou
1
Other cities
2
Town
3
Rural
Usual resident or visitor
1
Usual resident
2
Visitor
Number of household members (listed)
Number of children 5 and under in household (de jure)
Number of eligible women in household (de facto)
De jure region of residence
0
Abroad
1
Boucle Du Mouhoun
2
Cascades
3
Centre
4
Centre Est
5
Centre Nord
6
Centre Ouest
7
Centre Sud
8
Est
9
Hauts-Bassins
10
Nord
11
Plateau Central
12
Sahel
13
Sud Ouest
97
Not dejure resident
De jure type of place of residence
0
Abroad
1
Urban
2
Rural
7
Not a dejure resident
De jure place of residence
0
Ougadougou
1
Other cities
2
Town
3
Rural
4
Abroad
7
Not a dejure resident
Educational attainment
0
No education
1
Incomplete primary
2
Complete primary
3
Incomplete secondary
4
Complete secondary
5
Higher
Relationship to household head
1
Head
2
Wife
3
Daughter
4
Daughter-in-law
5
Granddaughter
6
Mother
7
Mother-in-law
8
Sister
9
Co-spouse
10
Other relative
11
Adopted/foster child
12
Not related
98
Don't know
Sex of household head
1
Male
2
Female
Age of household head
97
97+
98
Don't know
Household has: telephone (land-line)
0
No
1
Yes
7
Not a dejure resident
Literacy
0
Cannot read at all
1
Able to read only parts of sentence
2
Able to read whole sentence
3
No card with required language
4
Blind/visually impaired
Toilet facilities shared with other households
0
No
1
Yes
7
Not a dejure resident
Type of cooking fuel
1
Electricity
2
LPG
3
Natural gas
4
Biogas
5
Kerosene
6
Coal, lignite
7
Charcoal
8
Wood
9
Straw/shrubs/grass
10
Agricultural crop
11
Animal dung
95
No food cooked in house
96
Other
97
Not a dejure resident
Wealth index combined
1
Poorest
2
Poorer
3
Middle
4
Richer
5
Richest
Wealth index factor score combined (5 decimals)
Wealth index for urban/rural
1
Poorest
2
Poorer
3
Middle
4
Richer
5
Richest
Wealth index factor score for urban/rural (5 decimals)
Type of mosquito bed net(s) slept under last night
0
No net
1
Only treated nets
2
Both treated and untreated nets
3
Only untreated nets
Case Identification
Case Identification
Birth column number
Birth order number
Child is twin
0
Single birth
1
1st of multiple
2
2nd of multiple
3
3rd of multiple
4
4th of multiple
5
5th of multiple
Month of birth
Year of birth
Date of birth (CMC)
Sex of child
1
Male
2
Female
Child is alive
0
No
1
Yes
NA - Age at death
100
Died on day of birth
101
Days: 1
199
Days: number missing
201
Months: 1
299
Months: number missing
301
Years: 1
399
Years: number missing
997
Inconsistent
998
Don't know
NA - Age at death (months, imputed)
Current age of child
Child lives with whom
0
Respondent
1
Father
2
Other relative
3
Someone else
4
Lives elsewhere
Completeness of information
0
Month, year and day
1
Month and year - information complete
2
Month and age - year imputed
3
Year and age - month imputed
4
Year and age - year ignored
5
Year - age/month imputed
6
Age - year/month imputed
7
Month - age/year imputed
8
None - all imputed
Preceding birth interval (months)
Succeeding birth interval (months)
NA - Flag for age at death
0
No flag
1
> interview
2
< breastfeeding
3
< age supplemented
4
< first breastfed
5
< last vaccination
6
Outside range
7
Imputed, units given
8
Imputed, no units
Live birth between births
0
No
1
Yes
Child's line number in household
0
Not listed in household
Day of birth
Century Day Code of birth (CDC)
Current age of child in months (months since birth for dead children)
Case Identification
Case Identification
Total children ever born
Sons at home
Daughters at home
Sons elsewhere
Daughters elsewhere
Sons who have died
Daughters who have died
Births in last five years
0
No births
Births in past year
0
No births
Births in month of interview
NA - Age of respondent at 1st birth
Currently pregnant
0
No or unsure
1
Yes
Duration of current pregnancy
Number of living children
Living children + current pregnancy
Living children + current pregnancy (grouped)
6
6+
Last birth to interview (months)
Completeness of current pregnancy information
7
Month - exact date
8
None - date placed
Entries in birth history
Birth between last and interview
0
No
1
Yes
Births in last three years
Case Identification
Case Identification
Index to Birth History
Prenatal: doctor
0
No
1
Yes
Prenatal: nurse
0
No
1
Yes
Prenatal: midwife/maïeuticienne
0
No
1
Yes
Prenatal: patented birth attendant / auxiliary birth attendant
0
No
1
Yes
Prenatal: skilled birth attendant
0
No
1
Yes
NA - Prenatal: CS health professional
0
No
1
Yes
Prenatal: traditional /village birth attendant
0
No
1
Yes
Prenatal: community health worker
0
No
1
Yes
NA - Prenatal: CS other person
0
No
1
Yes
NA - Prenatal: CS other person
0
No
1
Yes
Prenatal: other
0
No
1
Yes
NA - Prenatal: CS other
0
No
1
Yes
NA - Prenatal: CS other
0
No
1
Yes
Prenatal: no one
0
No: some care
1
Yes: no care
During pregnancy took: SP/fansidar for malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy took: chloroquine for malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy took: CS drug for malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy took: CS drug for malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy took: CS drug for malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy took: CS drug for malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy took: CS drug for malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy took: other drug for malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy took: don't know
0
No
1
Yes: don't know which drug taken
8
Don't know
NA - During pregnancy took: no drug for malaria
0
No
1
Yes, took no drug
8
Don't know
Case Identification
Case Identification
Entries in pregnancy and postnatal care roster
Entries in child health roster
Entries in height/weight roster
Have mosquito bed net for sleeping (from household questionnaire)
0
No
1
Yes
Children under 5 slept under mosquito bed net last night (household questionnair
0
No
1
All children
2
Some children
3
No net in household
Respondent slept under mosquito bed net
0
No
1
Yes
Record for Last Birth
0
See specific questions
1
Last birth only
2
All births in last 5 years
Case Identification
Case Identification
Index to birth history
Had fever in last two weeks
0
No
1
Yes
8
Don't know
NA - Had cough in last two weeks
0
No
1
Yes, last 24 hours
2
Yes, last two weeks
8
Don't know
Fever: government hospital
0
No
1
Yes
Fever: government health center/ medical center with antenna (GHC/MC)
0
No
1
Yes
Fever: center of health and social promotion (CHSP)/DISP/Maternity
0
No
1
Yes
Fever: community health worker
0
No
1
Yes
Fever: other public sector
0
No
1
Yes
NA - Fever: CS public sector
0
No
1
Yes
NA - Fever: CS public sector
0
No
1
Yes
NA - Fever/cough: CS public sector
0
No
1
Yes
NA - Fever/cough: CS public sector
0
No
1
Yes
Fever: private hospital/ clinic/poly clinic
0
No
1
Yes
Fever: private pharmacy
0
No
1
Yes
Fever: private doctor
0
No
1
Yes
Fever: mobile clinic
0
No
1
Yes
Fever: private community health worker
0
No
1
Yes
Fever: other private medical
0
No
1
Yes
NA - Fever/cough: CS private medical
0
No
1
Yes
NA - Fever/cough: CS private medical
0
No
1
Yes
NA - Fever/cough: CS private medical
0
No
1
Yes
Fever: store
0
No
1
Yes
Fever: traditional healer
0
No
1
Yes
Fever: market
0
No
1
Yes
Fever: itinerant medecine seller
0
No
1
Yes
NA - Fever/cough: CS other sector
0
No
1
Yes
Fever: other
0
No
1
Yes
Fever: no treatment
0
No: received treatment
1
Yes: no treatment
Fever: medical treatment
0
No
1
Yes
Place first sought treatment for fever
10
PUBLIC SECTOR
11
Government hospital
12
Government health center/medical center with antenna
13
Public Center of health and social promotion (CHSP)/DISP/Maternity
14
Public Community health worker
15
Other public sector
16
CS public
20
PRIVATE SECTOR
21
Private hospital, clinic, poly clinic
22
Pharmacy
23
Private doctor, medical care office
24
Private mobile clinic
25
Private community health worker
26
Other private medical sector
30
OTHER
31
Store
32
Traditional healer
33
Market
34
Itinerant medecine seller
96
Other
Number of days after fever began sought advice or treatment
0
Same day
98
Don't know
Blood taken from child's finger/heel for testing
0
No
1
Yes
8
Don't know
Case Identification
Case Identification
Index to Birth History
Child's age in months
Day of birth of child
97
Inconsistent
98
Don't know
Date measured (day)
Date measured (month)
Date measured (year)
Line number of parent/caretaker
0
Not in household
Read consent statement - hemoglobin
1
Granted
2
Refused
3
Not present/other
Hemoglobin level (g/dl - 1 decimal)
994
Not present
995
Refused
996
Other
Result of measurement - hemoglobin
0
Measured
1
Dead
3
Not present
4
Refused
6
Other
7
No measurement found in household
Hemoglobin level adjusted for altitude (g/dl - 1 decimal)
997
Inconsistent
Anemia level
1
Severe
2
Moderate
3
Mild
4
Not anemic
Case Identification
Case Identification
Time interview started (hhmm - 24 hour clock)
Time interview ended (hhmm - 24 hour clock)
Length of interview in minutes
95
95+
96
2+ visits
97
Inconsistent
Number of visits
Interviewer identification
Keyer identification
Case Identification
Case Identification
Index to Birth History
Type of mosquito bed net(s) child slept under last night
0
No net
1
Only treated nets
2
Both treated and untreated nets
3
Only untreated nets
Number of times took fansidar during pregnancy
98
Don't know
Source of antimalarial during pregnancy
1
Antenatal visit
2
Another facility visit
3
Community health worker
6
Other source
NA - Child has fever/cough now
0
No
1
Yes, fever only
2
Yes, cough only
3
Both fever and cough
8
Don't know
NA - Child has had convulsions in last 2 weeks
0
No
1
Yes
8
Don't know
Fansidar taken for fever
0
No
1
Yes
Chloroquine taken for fever
0
No
1
Yes
Amodiaquine taken for fever
0
No
1
Yes
Quinine taken for fever
0
No
1
Yes
Quinine injection/IV taken for fever
0
No
1
Yes
Combination with artemisinin taken for fever
0
No
1
Yes
Artesunate rectal taken for fever
0
No
1
Yes
Artesunate injection/IV taken for fever
0
No
1
Yes
Artemether injection taken for fever
0
No
1
Yes
SP/Fansidar and amodiaquine (combined) taken for fever
0
No
1
Yes
Other antimalarial taken for fever
0
No
1
Yes
Antibiotic pill/syrup taken for fever
0
No
1
Yes
Antibiotic injection taken for fever
0
No
1
Yes
NA - Aspirin taken for fever
0
No
1
Yes
NA - Acetaminophen/paracetamol/panadol taken for fever
0
No
1
Yes
Ibuprofen taken for fever
0
No
1
Yes
Paracetamol/Aspirine taken for fever
0
No
1
Yes
Acetaminophen taken for fever
0
No
1
Yes
NA - CS other taken for fever
0
No
1
Yes
Other taken for fever
0
No
1
Yes
Nothing taken and didn't seek treatment for fever/cough
0
No
1
Yes, nothing taken
Don't know if or what was taken for fever
0
No
1
Yes, don't know
NA - Injection given for fever/convulsion
0
No
1
Yes
NA - Suppository given for fever/convulsion
0
No
1
Yes
NA - No suppository or injection given for fever/convulsion
0
No
1
Yes
NA - Don't know if suppository or injection given for fever/convulsion
0
No
1
Yes
Timing of start of fansidar
0
Same day as fever/cough
1
Next day
2
2 days after
3
3+ days after
8
Don't know
NA - Number of days child took fansidar
7
7+ days
8
Don't know
NA - First source for fansidar
0
Other source
1
At home
8
Don't know
Timing of start of chloroquine
0
Same day as fever/cough
1
Next day
2
2 days after
3
3+ days after
8
Don't know
NA - Number of days child took chloroquine
7
7+ days
8
Don't know
NA - First source for chloroquine
0
Other source
1
At home
8
Don't know
Timing of start of amodiaquine
0
Same day as fever/cough
1
Next day
2
2 days after
3
3+ days after
8
Don't know
NA - Number of days child took amodiaquine
7
7+ days
8
Don't know
NA - First source for amodiaquine
0
Other source
1
At home
8
Don't know
Timing of start of quinine
0
Same day as fever/cough
1
Next day
2
2 days after
3
3+ days after
8
Don't know
NA - Number of days child took quinine
7
7+ days
8
Don't know
NA - First source for quinine
0
Other source
1
At home
8
Don't know
NA - For fever/convulsion: consulted traditional healer
0
No
1
Yes
NA - For fever/convulsion: gave tepid sponging
0
No
1
Yes
NA - For fever/convulsion: gave herbs
0
No
1
Yes
NA - For fever/convulsion: CS
0
No
1
Yes
NA - For fever/convulsion: CS
0
No
1
Yes
NA - For fever/convulsion: CS
0
No
1
Yes
NA - For fever/convulsion: other
0
No
1
Yes
NA - For fever/convulsion: gave/did nothing
0
No
1
Yes
NA - For fever/convulsion: don't know if something else was done
0
No
1
Yes
Timing of start of combination with artemisinin
0
Same day as fever/cough
1
Next day
2
2 days after
3
3+ days after
8
Don't know
NA - Number of days child took combination with artemisinin
7
7+ days
8
Don't know
NA - First source for combination with artemisinin
0
Other source
1
At home
8
Don't know
Timing of start of artemether (injection)
0
Same day as fever/cough
1
Next day
2
2 days after
3
3+ days after
8
Don't know
NA - Number of days child took CS antimalarial
7
7+ days
8
Don't know
NA - First source for CS antimalarial
0
Other source
1
At home
8
Don't know
Timing of start of SP/Fansidar and amodiaquine (combined)
0
Same day as fever/cough
1
Next day
2
2 days after
3
3+ days after
8
Don't know
NA - Number of days child took CS antimalarial
7
7+ days
8
Don't know
NA - First source for CS antimalarial
0
Other source
1
At home
8
Don't know
Timing of start of other anti-malarial use
0
Same day as fever/cough
1
Next day
2
2 days after
3
3+ days after
8
Don't know
NA - Number of days child took other anti-malarial
7
7+ days
8
Don't know
NA - First source for other anti-malarial
0
Other source
1
At home
8
Don't know
NA - First source for antibiotic pill/syrup
0
Other source
1
At home
8
Don't know
Timing of start of artesunate
0
Same day as fever/cough
1
Next day
2
2 days after
3
3+ days after
8
Don't know
Number of times took SP/Fansidar in presence of health worker
98
Don't know
Case Identification
Case Identification
Concession number
Province
1
Bam
2
Bazega
3
Bougouriba
4
Boulgou
5
Boulkiemde
6
Comoe
7
Ganzourgou
8
Gnagna
9
Gourma
10
Houet
11
Kadiogo
12
Kenedougou
13
Kossi
14
Kouritenga
15
Mouhoun
16
Nahouri
17
Namentenga
18
Oubritenga
19
Oudalan
20
Passore
21
Poni
22
Sanguie
23
Sanmatenga
24
Seno
25
Sissili
26
Soum
27
Sourou
28
Tapoa
29
Yatenga
30
Zoundweogo
31
Bale
32
Banwa
33
Ioba
34
Komandjoari
35
Kompienga
36
Koulpelogo
37
Kourweogo
38
Leraba
39
Loroum
40
Nayala
41
Noumbiel
42
Tuy
43
Yagha
44
Ziro
45
Zondoma
Ever attended school
0
No
1
Yes
Highest educational level
1
Primary
2
Post-primary
3
Secondary
4
Higher
Highest year of educational
0
< 1 année complétée
Have you received any malaria messages during the last 6 months
0
No
1
Yes
Has heard ou received messages from : Radio
0
No
1
Yes
Has heard ou received messages from : Television
0
No
1
Yes
Has heard ou received messages from : Poster / flyer / box images
0
No
1
Yes
Has heard ou received messages from : Community health worker
0
No
1
Yes
Has heard ou received messages from : Community event/Criel
0
No
1
Yes
Has heard ou received messages from : Health centers
0
No
1
Yes
Has heard ou received messages from : Animators
0
No
1
Yes
Has heard ou received messages from : Elsewhere
0
No
1
Yes
Main cause of malaria : Mosquito bite
0
No
1
Yes
Main cause of malaria : Excessive oil consumption
0
No
1
Yes
Main cause of malaria : Fatigue due to work
0
No
1
Yes
Main cause of malaria : Sleep insufficiency
0
No
1
Yes
Main cause of malaria : direct sun exposure
0
No
1
Yes
Main cause of malaria : consumption of mangos / sweet fruits
0
No
1
Yes
Main cause of malaria : Consumption of milk
0
No
1
Yes
Main cause of malaria : Dirty
0
No
1
Yes
Main cause of malaria : Other
0
No
1
Yes
Main cause of malaria : Don't know
0
No
1
Yes
Malaria symptoms : Fever
0
No
1
Yes
Malaria symptoms : lack of appetite and vomiting
0
No
1
Yes
Malaria symptoms : High temperature with convulsions
0
No
1
Yes
Malaria symptoms : High temperature with fainting
0
No
1
Yes
Malaria symptoms : Persistent temperature
0
No
1
Yes
Malaria symptoms : Convulsions
0
No
1
Yes
Malaria symptoms : Jaundice
0
No
1
Yes
Malaria symptoms : Headache
0
No
1
Yes
Malaria symptoms : Other
0
No
1
Yes
Malaria symptoms : Don't know
0
No
1
Yes
Effective ways to prevent malaria : sleep under mosquito net not treated
0
No
1
Yes
0
No
1
Yes
Effective ways to prevent malaria : take preventive medecines
0
No
1
Yes
Effective ways to prevent malaria : use insecticide/diffusers/crems/lotions/repu
0
No
1
Yes
Effective ways to prevent malaria : use a mosquito coil
0
No
1
Yes
Effective ways to prevent malaria : decoction / plant juice / root to drink as a
0
No
1
Yes
Effective ways to prevent malaria : cleaning the surroundings
0
No
1
Yes
Effective ways to prevent malaria : indoor sprinkling
0
No
1
Yes
Effective ways to prevent malaria : window screens
0
No
1
Yes
Effective ways to prevent malaria : use a fumigant coil
0
No
1
Yes
Effective ways to prevent malaria : use electric pads
0
No
1
Yes
Effective ways to prevent malaria : air conditioners / fans
0
No
1
Yes
Effective ways to prevent malaria : powder / application
0
No
1
Yes
Effective ways to prevent malaria : cover the body
0
No
1
Yes
Effective ways to prevent malaria : other
0
No
1
Yes
Effective ways to prevent malaria : other
0
No
1
Yes
Effective ways to prevent malaria : don't know
0
No
1
Yes
Effective ways to treat malaria : Antimalarials - therapeutic combination based
0
No
1
Yes
Effective ways to treat malaria : Antimalarials - SP/Fansidar
0
No
1
Yes
Effective ways to treat malaria : Antimalarials - chloroquine
0
No
1
Yes
Effective ways to treat malaria : Antimalarials - amodiaquine
0
No
1
Yes
Effective ways to treat malaria : Antimalarials - quinine tablets
0
No
1
Yes
Effective ways to treat malaria : Antimalarials - quinine injection/IV/IM
0
No
1
Yes
Effective ways to treat malaria : Antimalarials - artesunate rectal way
0
No
1
Yes
Effective ways to treat malaria : Antimalarials - artesunate injection/IV/IM
0
No
1
Yes
Effective ways to treat malaria : Antimalarials - artemether (injection)
0
No
1
Yes
Effective ways to treat malaria : Antimalarials - SP/Fansidar et amodiaquine (co
0
No
1
Yes
Effective ways to treat malaria : Antimalarials - other
0
No
1
Yes
Effective ways to treat malaria : Antibiotics - tablets/syrup
0
No
1
Yes
Effective ways to treat malaria : Antibiotics - injection/IV
0
No
1
Yes
Effective ways to treat malaria : Other drugs - paracetamol/aspirin
0
No
1
Yes
Effective ways to treat malaria : Other drugs - acetaminophen
0
No
1
Yes
Effective ways to treat malaria : Other drugs - ibuprofen
0
No
1
Yes
Effective ways to treat malaria : Other
0
No
1
Yes
Effective ways to treat malaria : Other drugs - don't know
0
No
1
Yes
Fieldworker code
Country code and phase
Fieldworker region of residence
1
Centre
2
Boucle du Mouhoun
3
Cascades
4
Centre-est
5
Centre-nord
6
Centre-ouest
7
Centre-sud
8
Est
9
Hauts bassins
10
Nord
11
Plateau central
12
Sahel
13
Sud-ouest
95
Outside Burkina Faso
96
Other
Fieldworker type of place of residence
1
CIty
2
Town
3
Rural
Fieldworker age
Fieldworker sex
1
Male
2
Female
Fieldworker marital status
1
Currently married
2
Living with a man/woman
3
Widowed
4
Divorced
5
Separated
6
Never married or lived with a man/woman
Fieldworker number of living children
Fieldworker ever had a child who died
1
Yes
2
No
Highest level of school attended by fieldworker
1
Primary
2
Secondary
3
Higher
Highest grade/form/year at that level completed by fieldworker
0
Less than one year at level
Fieldworker religion
1
Muslim
2
Christian
3
Animist
5
No religion
6
Autre
Fieldworker ethnicity
1
Bobo
2
Dioula
3
Fulfulde/peulh
4
Gourmantche
5
Gourounsi
6
Lobi
7
Mossi
8
Senoufo
9
Touareg/bella
10
Dagara
11
Bissa
95
Other countries (for strangers)
96
Other ethnic
Languages spoken by fieldworker
Bobo
Dioula
Fulfulde/peulh
Gourmantche
Gourounsi
Lobi
Mossi
Senoufo
Touareg/bella
Dagara
Bissa
Language other countries (for foreigners)
Language M
Other language
No other language
Fieldworker's mother tongue/native language
1
Bobo
2
Dioula
3
Fulfulde/peulh
4
Gourmantche
5
Gourounsi
6
Lobi
7
Mossi
8
Senoufo
9
Touareg/bella
10
Dagara
11
Bissa
95
Other countries (for strangers)
96
Other
Has fieldworker ever worked on a DHS
1
Yes
2
No
Has fieldworker ever worked on any other survey
1
Yes
2
No
Was fieldworker working for agency at the time employed for DHS
1
Yes, [INS]
2
Yes, [for another institution]
3
No
Is fieldworker a permanent or temporary employee of agency
1
Permanent
2
Temporary