HTI_2016_DHS_v01_M
DDI_TGO_2017_MIS_v01_M
Development Economics Data Group
Nesstar Publisher
Version 01 (September 2018). Metadata is excerpted from "Togo Enquête sur les Indicateurs du Paludisme 2017" Report.
Enquête sur les Indicateurs du Paludisme 2017
MIS / EIPT 2016-17
TGO_2017_MIS_v01_M
Institut National de la Statistique et des Études Économiques et Démographiques (INSEED)
Institut National d’Hygiène
ICF
Nesstar Publisher
Le Fonds mondial de lutte contre le sida, la tuberculose et le paludisme
Gouvernement de la République du Togo
Information about The DHS Program
General Inquiries
Data and Data Related Resources
Malaria Indicator Survey
L’Enquête sur les Indicateurs de Paludisme au Togo en 2017 (EIPT- 2017) est la première enquête de cette sorte. Elle vise un échantillon national représentatif de 5130 ménages, avec un nombre attendu d’environ 4895 femmes âgées de 15 à 49 ans enquêtées avec succès. Toutes les femmes âgées de 15 à 49 ans qui sont des membres du ménage ou qui ont passé la nuit précédant le jour de l’enquête dans les ménages sélectionnés sont éligibles pour l’enquête.
The data dictionary was generated from hierarchical data that was downloaded from the DHS website (http://dhsprogram.com).
Togo
National
Sample survey data [ssd]
Institut National de la Statistique et des Études Économiques et Démographiques
Face-to-face [f2f]
Trois questionnaires ont été utilisés dans le cadre de l’EIPT-2017 ; le Questionnaire Ménage, le Questionnaire Femme et le Questionnaire Biomarqueur. Les questionnaires standard disponibles à partir du RBM-MERG ont été adaptés aux problèmes de santé et de population du Togo.
CSPro (Census and Survey Processing) a été utilisé pour l’édition, le nettoyage la pondération et l’analyse des données. La cohérence des données a été vérifiée par l’équipe des informaticiens qui faisaient des retours aux équipes de terrain pour améliorer la qualité des données.
The DHS Program
L'utilisateur des données reconnait que le producteur des données, le distributeur agréé, ainsi que les bailleurs de fonds ayant contribué au financement de la production de ces données, ne sont nullement responsables de l'utilisation qui sera faite de ces données, ni des interprétations et conclusions dérivées de leur analyse et utilisation.
RECH0.NSDstat
5132
52
Nesstar 200801
RECH1.NSDstat
22944
11
Nesstar 200801
RECH2.NSDstat
4909
55
Nesstar 200801
RECH3.NSDstat
4909
14
Nesstar 200801
RECH4.NSDstat
22944
5
Nesstar 200801
RECH5.NSDstat
4867
20
Nesstar 200801
RECH6.NSDstat
3669
29
Nesstar 200801
RECHML.NSDstat
16147
20
Nesstar 200801
RECHMH.NSDstat
22944
41
Nesstar 200801
REC01.NSDstat
4752
40
Nesstar 200801
REC11.NSDstat
4674
48
Nesstar 200801
REC21.NSDstat
3998
23
Nesstar 200801
REC22.NSDstat
4674
22
Nesstar 200801
REC41.NSDstat
2490
27
Nesstar 200801
REC42.NSDstat
4674
24
Nesstar 200801
REC4A.NSDstat
3415
54
Nesstar 200801
REC44.NSDstat
3415
15
Nesstar 200801
REC81.NSDstat
4674
8
Nesstar 200801
RECML.NSDstat
3415
69
Nesstar 200801
REC91.NSDstat
4674
49
Nesstar 200801
REC95.NSDstat
3415
11
Nesstar 200801
FWRECORD.NSDstat
Fieldworker data
50
31
Nesstar 200801
Case Identification
Country code and phase
Cluster number
Household number
Respondent's line number (answering Household questionnaire)
0
Incomplete household
Ultimate area unit
Household sample weight (6 decimals)
Month of interview
Year of interview
Date of interview (CMC)
Date of interview Century Day Code (CDC)
Number of household members
Number of eligible women in household
NA - Number of eligible men in household
Number of de jure members
Number of de facto members
Number of children 5 and under (de jure)
Result of household interview
1
Completed
2
No Household member/no competent member at home
3
Entire Household absent for extended period of time
4
Postponed
5
Refused
6
Dwelling vacant or address not a dwelling
7
Dwelling destroyed
8
Dwelling not found
9
Other
Day of interview
Number of visits
Interviewer identification
NA - Keyer identification
Ever-married sample
0
All woman sample
1
Ever married sample
Primary sampling unit
Sample strata for sampling errors
1
Agglomération de Lomé
2
Maritime-urban
3
Maritime-rural
4
Plateaux-urban
5
Plateaux-rural
6
Centrale-urban
7
Centrale-rural
8
Kara-urban
9
Kara-rural
10
Savanes-urban
11
Savanes-rural
Stratification used in sample design
1
Agglomération de Lomé
2
Maritime-urban
3
Maritime-rural
4
Plateaux-urban
5
Plateaux-rural
6
Centrale-urban
7
Centrale-rural
8
Kara-urban
9
Kara-rural
10
Savanes-urban
11
Savanes-rural
Region
1
Agglomération de Lomé
2
Maritime
3
Plateaux
4
Centrale
5
Kara
6
Savanes
Type of place of residence
1
Urban
2
Rural
NA - Place of residence
0
Capital, large city
1
Small city
2
Town
3
Countryside
Household selected for male interview
0
Not selected
1
Men's survey
2
Husband's survey
Household weight for male subsample (6 decimals)
Field supervisor
NA - Field editor
NA - Office editor
Number of eligible children for height and weight
Cluster altitude in meters
Total adults measured
Household selected for hemoglobin
0
Not selected
1
Selected
Language of questionnaire
1
French
Language of interview
1
French
2
Ewe/Mina
3
Kabye
4
Kotokoli/Tem
5
Akposso/Akebou
6
Ife/Ana
7
Moba-gourma
8
Tchokossi
9
Bassar/Konkomba
96
Other
97
Other foreign
Native language of respondent
1
French
2
Ewe/Mina
3
Kabye
4
Kotokoli/Tem
5
Akposso/Akebou
6
Ife/Ana
7
Moba-gourma
8
Tchokossi
9
Bassar/Konkomba
96
Other
97
Other foreign
Translator used
0
No
1
Yes
Time interview started (hhmm - 24 hour clock)
Time interview ended (hhmm - 24 hour clock)
Length of interview in minutes
95
95+
96
2+ visits
97
Inconsistent
Number of visits for biomarker
Day of biomarker visit
Month of biomarker visit
Year of biomarker visit
Date of biomarker (CMC)
Date of biomarker Century Day Code (CDC)
Structure number
Case Identification
Line number
Relationship to head
1
Head
2
Wife or husband
3
Son/daughter
4
Son/daughter-in-law
5
Grandchild
6
Parent
7
Parent-in-law
8
Brother/sister
9
Co-spouse
10
Other relative
11
Adopted/foster child
12
Not related
13
Niece/nephew by blood
14
Niece/nephew by marriage
98
Don't know
Usual resident
0
No
1
Yes
Slept last night
0
No
1
Yes
Sex of household member
1
Male
2
Female
Age of household members
95
95+
98
Don't know
Current marital status
0
Never married
1
Married
2
Living together
3
Widowed
4
Divorced/Separated
5
Not living together
Currently, formerly, never married
0
Never married
1
Currently married
2
Formerly/ever married
Eligibility for female interview
0
Not eligible
1
Eligible
Children eligibility for height/weight and hemoglobin
0
Not eligible
1
Eligible
Case Identification
Source of drinking water
10
PIPED WATER
11
Piped into dwelling
12
Piped to yard/plot
13
Piped to neighbor
14
Public tap/standpipe
20
TUBE WELL WATER
21
Tube well or borehole
30
DUG WELL (OPEN/PROTECTED)
31
Protected well
32
Unprotected well
40
SURFACE FROM SPRING
41
Protected spring
42
Unprotected spring
43
River/dam/lake/ponds/stream/canal/irrigation channel
51
Rainwater
61
Tanker truck
62
Cart with small tank
71
Bottled water
72
Water in sachet
96
Other
Source of non-drinking water
10
PIPED WATER
11
Piped into dwelling
12
Piped to yard/plot
13
Piped to neighbor
14
Public tap/standpipe
20
TUBE WELL WATER
21
Tube well or borehole
30
DUG WELL (OPEN/PROTECTED)
31
Protected well
32
Unprotected well
40
SURFACE FROM SPRING
41
Protected spring
42
Unprotected spring
43
River/dam/lake/ponds/stream/canal/irrigation channel
51
Rainwater
61
Tanker truck
62
Cart with small tank
71
Bottled water
72
Water in sachet
96
Other
NA - Water not available for at least a day last two weeks
0
No, not interrupted for a full day
1
Yes, interrupted for a full day or more
8
Don't know
Time to get to water source (minutes)
996
On premises
998
Don't know
Type of toilet facility
10
FLUSH TOILET
11
Flush to piped sewer system
12
Flush to septic tank
13
Flush to pit latrine
14
Flush to somewhere else
15
Flush, don't know where
20
PIT TOILET LATRINE
21
Ventilated Improved Pit latrine (VIP)
22
Pit latrine with slab
23
Pit latrine without slab/open pit
30
NO FACILITY
31
No facility/bush/field
41
Composting toilet
42
Bucket toilet
43
Hanging toilet/latrine
96
Other
Has electricity
0
No
1
Yes
Has radio
0
No
1
Yes
Has television
0
No
1
Yes
Has refrigerator
0
No
1
Yes
Has bicycle
0
No
1
Yes
Has motorcycle/scooter
0
No
1
Yes
Has car/truck
0
No
1
Yes
Main floor material
10
NATURAL
11
Earth/Sand
12
Dung
20
RUDIMENTARY
21
Wood Planks
22
Palms/Bamboo
30
FINISHED
31
Parquet or polished wood
32
Vinyl or asphalt strips
33
Tile
34
Cement
35
Carpet
96
Other
Main wall material
10
NATURAL
11
No wall
12
Bamboo / cane / palm / trunk
13
Mud
20
RUDIMENTARY
21
Bamboo with mud
22
Stone with mud
23
Adobe not covered
24
Plywood
25
Cardboard
26
Recovered wood
30
FINISHED
31
Cement
32
Stone with lime/wood
33
Bricks
34
Cement blocks
35
Adobe overlay
36
Wooden board/shingles
96
Other
Main roof material
10
NATURAL
11
No roof
12
Thatch/palm/leaf
13
Mud
20
RUDIMENTARY
21
Mat
22
Palm/bamboo
23
Plywood
24
Cardboard
30
FINISHED
31
Sheet metal
32
Wood
33
Zinc/cement fiber
34
Roof tiles
35
Cement
36
Shingles
96
Other
Number of rooms used for sleeping
Relationship structure
0
No adults
1
One adult
2
Two adults, opposite sex
3
Two adults, same sex
4
Three+ related adults
5
Unrelated adults
Line number of head of household
Sex of head of household
1
Male
2
Female
Age of head of household
97
97+
98
Don't know
Has telephone (land-line)
0
No
1
Yes
Share toilet with other households
0
No
1
Yes
Type of cooking fuel
1
Electricity
2
LPG
3
Natural gas
4
Biogas
5
Kerosene
6
Coal, lignite
7
Charcoal
8
Wood
9
Straw/shrubs/grass
10
Agricultural crop
11
Animal dung
12
Sawdust
95
No food cooked in house
96
Other
Has mosquito bed net for sleeping
0
No
1
Yes
Children under 5 slept under mosquito bed net last night
0
No
1
All children
2
Some children
3
No net in household
Location of source for water
1
In own dwelling
2
In own yard/plot
3
Elsewhere
Number of households sharing toilet
95
10 or more households
98
Don't know
Has mobile telephone
0
No
1
Yes
Has watch
0
No
1
Yes
Has animal-drawn cart
0
No
1
Yes
Has boat with a motor
0
No
1
Yes
Has a computer
0
No
1
Yes
Owns land usable for agriculture
0
No
1
Yes
Hectares of agricultural land (1 decimal)
950
95 or more
998
Unknown
Owns livestock, herds or farm animals
0
No
1
Yes
NA - Owns cattle
0
None
95
95 or more
98
Unknown
Owns cows/ bulls
0
None
95
95 or more
98
Unknown
Owns horses/ donkeys/ mules
0
None
95
95 or more
98
Unknown
Owns goats
0
None
95
95 or more
98
Unknown
Owns sheep
0
None
95
95 or more
98
Unknown
Owns chickens/poultry
0
None
95
95 or more
98
Unknown
Owns pigs
0
None
95
95 or more
98
Unknown
Owns guinea fowl
0
None
95
95 or more
98
Unknown
Owns ducks
0
None
95
95 or more
98
Unknown
Owns turkeys
0
None
95
95 or more
98
Unknown
NA - Owns CS
0
None
95
95 or more
98
Unknown
Has bank account
0
No
1
Yes
Wealth index combined
1
Poorest
2
Poorer
3
Middle
4
Richer
5
Richest
Wealth index factor score combined (5 decimals)
Wealth index for urban/rural
1
Poorest
2
Poorer
3
Middle
4
Richer
5
Richest
Wealth index factor score for urban/rural (5 decimals)
Number of mosquito bed nets
98
Don't know
Number of mosquito bed nets with specific information
Number of children under mosquito bed net previous night
Case Identification
Number of beds in household
CD/DVD player
0
No
1
Yes
Internet connection
0
No
1
Yes
Satellite dish
0
No
1
Yes
Washing machine
0
No
1
Yes
Air conditioner
0
No
1
Yes
Stove/ Gas stove
0
No
1
Yes
Fan
0
No
1
Yes
Household enumerated for campaign
0
No
1
Yes
8
Don't know
9
Missing
Reasons why household was not enumerated
1
Enumerators did not come
2
No one at home
3
Refused
4
Moved in after the campaign
5
Enumerators refused
6
Other
8
Don't know
Coupon received for a free mosquito net during the distribution campaign
0
No
1
Yes
8
Don't know
9
Missing
Reasons household did not receive coupon
1
No more coupons
2
Household had enough mosquito nets
6
Other
8
Don't know
Number of mosquito nets received during the 2017 August Campaign
Case Identification
Index to Household Schedule
Day of birth of household members
98
Don't know
Month of birth of household members
1
January
2
February
3
March
4
April
5
May
6
June
7
July
8
August
9
September
10
October
11
November
12
December
98
Don't know
Year of birth of household members
9998
Don't know
Case Identification
Index to Household Schedule
Woman's age in years
Date of birth (CMC)
Completeness of HA32 information
0
Month, year and day
1
Month and year - information complete
2
Month and age - year imputed
3
Year and age - month imputed
4
Year and age - year ignored
5
Year - age/month imputed
6
Age - year/month imputed
7
Month - age/year imputed
8
None - all imputed
NA - Smoking (cigarettes in last 24 hours)
0
Doesn't smoke
80
80+
94
Smokes pipes, cigars, etc
Under age 18
1
Under age 18
2
Age 18 or older
Line number of parent/caretaker
0
Not in household
Read consent statement - hemoglobin
1
Granted
2
Parent/other responsible refused
3
Respondent refused
4
Adult/parent not present
5
Minor not present
Hemoglobin level (g/dl - 1 decimal)
994
Not present
995
Refused
996
Other
Currently pregnant
0
No/don't know
1
Yes
Result of measurement - hemoglobin
0
Measured
3
Not present
4
Refused
6
Other
Hemoglobin level adjusted for altitude and smoking (g/dl - 1 decimal)
994
Not present
995
Refused
996
Other
Anemia level
1
Severe
2
Moderate
3
Mild
4
Not anemic
NA - Agrees to referral - anemia
0
No
1
Yes
Marital status
1
Never in union
2
Other
Result of woman's individual interview
1
Completed
2
Not at home
3
Postponed
4
Refused
5
Partly completed
6
Incapacitated
7
Other
Woman's highest educational level
0
No education
1
Primary
2
Secondary
3
Higher
8
Don't know
Woman's highest year of education
0
Less than a year
1
1st year
2
2nd year
3
3rd year
4
4th year
5
5th year
6
6th year
7
7th year
98
Don't know
Woman's highest educational level (for preliminary and final report)
0
No education
1
Primary
2
Secondary 1st cycle
3
Secondary 2nd cycle
4
Higher
8
Don't know
Case Identification
Index to Household Schedule
Child's age in months
Child's age in days
Day of birth
97
Inconsistent
98
Don't know
Date measured (day)
Date measured (month)
Date measured (year)
Century Day Code (CDC) of measurement
Fieldworker measurer code
Sex
1
Male
2
Female
Month of birth
97
Inconsistent
98
Don't know
Year of birth
9997
Inconsistent
9998
Don't know
Date of birth (CMC)
Century Day Code (CDC) of birth
Completeness of HC32 information
0
Month, year and day
1
Month and year - information complete
2
Month and age - year imputed
3
Year and age - month imputed
5
Year - age/month imputed
6
Age - year/month imputed
7
Month - age/year imputed
8
None - all imputed
Line number of parent/caretaker
0
Not in household
Read consent statement - hemoglobin
1
Granted
2
Refused
3
Not present/other
Hemoglobin level (g/dl - 1 decimal)
994
Not present
995
Refused
996
Other
Result of measurement - hemoglobin
0
Measured
3
Not present/other
4
Refused
6
Other
Hemoglobin level adjusted for altitude (g/dl - 1 decimal)
997
Inconsistent
Anemia level
1
Severe
2
Moderate
3
Mild
4
Not anemic
NA - Agrees to referral - anemia
0
No
1
Yes
Mother's line number (woman's questionnaire)
993
Mother not de facto
994
Incomplete woman's interview
995
Not in household
Mother's highest educational level
0
No education
1
Primary
2
Secondary
3
Higher
8
Don't know
Mother's highest year of education
0
Less than a year
1
1st year
2
2nd year
3
3rd year
4
4th year
5
5th year
6
6th year
7
7th year
98
Don't know
Preceding birth interval (months)
Birth order number
Mother's highest educational level (for preliminary and final report)
0
No education
1
Primary
2
Secondary 1st cycle
3
Secondary 2nd cycle
4
Higher
8
Don't know
Case Identification
Mosquito Bed Net Designation Number
Net observed by interviewer
0
Not seen
1
Yes, seen
2
Yes, seen Not hanged
Months ago net obtained
96
More than 3 years ago
98
Don't know
NA - Net treated with insecticide when bought
0
No
1
Yes
8
Don't know
NA - Net treatment status
0
Not pretreated
1
Pretreated, permanent treatment
2
Pretreated, requiring future treatment
3
Not pretreated, came with kit and treated at home
4
Pretreated, treatment type not known
6
Other
8
Don't know
Brand of net
10
Long-lasting insecticide treated nets (LLIN)
11
Permanet/Séréna
12
Oliset
13
Duranet
14
Best Net/ Net Protect
15
Icon Life
16
Interseptor
17
Yorkoor
19
Other LLIN
20
Pretreated net
96
Other brand
98
Don't know brand
NA - Net treated since receiving
0
No
1
Yes
2
Permanent/LLIN net
8
Not sure
NA - Time since last re-treatment (months)
95
25+ months ago
96
More than 3 years ago
98
Don't know
Insecticide-Treated Net (ITN)
0
No, don't know
1
Yes
Number of persons who slept under this net
5
5+
Someone slept under this net last night
0
No
1
Yes
8
Not sure (don't know)
Line number of person who slept in this net
0
No one
Line number of person who slept in this net
Line number of person who slept in this net
Line number of person who slept in this net
NA - Line number of person who slept in this net
Obtained net from campaign, antenatal or immunization visit
0
No
1
Yes, campaign
2
Yes, antenatal care
3
Yes, immunization visit
Place where net was obtained
10
Government health facility
20
Private health facility
30
Other sources
31
Pharmacy
32
Shop/market
33
Community health worker
34
Religious institution
35
School
36
Distribution campaign
37
Other relative
96
Other
98
Don't know
Shown Net
0
Not observed
1
Observed and hung
2
Observed and not hung
Case Identification
Index to Household Schedule
Type of Mosquito Bed Net(s) person slept under last night
0
Did not sleep under a net
1
Only treated (ITN) nets
2
Both treated (ITN) and untreated nets
3
Only untreated nets
Net Designation Number (HMLIDX) for 1st net person slept under last night
0
Did not sleep under net
Net Designation Number (HMLIDX) for 2nd net person slept under last night
Net Designation Number (HMLIDX) for 3rd net person slept under last night
Corrected age from Individual file
97
97+
98
Don't know
Age in months (for children)
Flag for age from Individual file
0
No data from Individual file
1
Month and year - information complete
2
Month and age - year imputed
3
Year and age - month imputed
4
Year and age - year ignored
5
Year - age/month imputed
6
Age - year/month imputed
7
Month - age/year imputed
8
None - all imputed
Pregnancy status from Individual file
0
Not pregnant, don't know
1
Pregnant
NA - Person slept under an ever-treated net
0
No
1
Yes
Person slept under an LLIN net
0
No
1
Yes
Line number of parent/caretaker (for malaria testing)
0
Not in household
Read consent statement for malaria
1
Granted
2
Parent/other responsible refused
3
Respondent refused
4
Adult/parent not present
5
Minor not present
Final result of malaria from blood smear test
0
Negative
1
Positive
6
Test undetermined
7
Sample not found in lab database
Presence of species: falciparum (Pf)
0
No
1
Yes
Presence of species: malariae (Pm)
0
No
1
Yes
Presence of species: ovale (Po)
0
No
1
Yes
Presence of species: vivax (Pv)
0
No
1
Yes
NA - Presence of species: CS
0
No
1
Yes
NA - Presence of species: CS
0
No
1
Yes
NA - Presence of species: CS
0
No
1
Yes
Result of malaria measurement
0
Measured
3
Not present
4
Refused
6
Other
Bar code for blood smear sample
Result of malaria rapid test
0
Negative
1
Positive
NA - Fieldworker measurer code for malaria
Result of RDT test
0
Negative
1
Positive Falciparum
2
Positive other species (OMV)
3
6
Other
Hemoglobin level
1
Below 7.0 g / dl Severe Anemia
2
7.0 g/dl or more
3
Absent
4
Refused
6
Other
Prostration
0
No
1
Yes
Cardiac Problems
0
No
1
Yes
Lost of consciousness
0
No
1
Yes
Severe respiratory failure
0
No
1
Yes
Convulsions
0
No
1
Yes
Bleeding
0
No
1
Yes
Jaundice
0
No
1
Yes
Brown/black urine
0
No
1
Yes
Hemoglobin level (with malaria)
1
Below 8.0 g / dl Anemia Severe
2
8.0 g/dl or more
3
Absent
4
Refused
6
Other
Seen doctor for malaria treatment
0
No
1
Yes
Medication accepted
1
Medication accepted
2
Refused
6
Other
Verified medication accepted
1
Medication accepted
2
Refused
6
Other
Verify Hemoglobin level
1
Below 8.0 g / dl Anemia Severe
2
8.0 g/dl or more
3
Absent
4
Refused
6
Other
Case Identification
Case Identification
Country code and phase
Cluster number
Household number
Respondent's line number
Ultimate area unit
Women's individual sample weight (6 decimals)
Month of interview
Year of interview
Date of interview (CMC)
Date of interview Century Day Code (CDC)
Respondent's month of birth
Respondent's year of birth
Date of birth (CMC)
Respondent's current age
Age in 5-year groups
1
15-19
2
20-24
3
25-29
4
30-34
5
35-39
6
40-44
7
45-49
Completeness of age information
1
Month and year - information complete
2
Month and age - year imputed
3
Year and age - month imputed
4
Year and age - year ignored
5
Year - age/month imputed
6
Age - year/month imputed
7
Month - age/year imputed
8
None - all imputed
Result of individual interview
1
Completed
2
Not at home
3
Postponed
4
Refused
5
Partially completed
6
Respondent incapacitated
7
Other
Day of interview
Ever-married sample
0
All woman sample
1
Ever married sample
Primary sampling unit
Sample strata for sampling errors
1
Agglomération de Lomé
2
Maritime-urban
3
Maritime-rural
4
Plateaux-urban
5
Plateaux-rural
6
Centrale-urban
7
Centrale-rural
8
Kara-urban
9
Kara-rural
10
Savanes-urban
11
Savanes-rural
Stratification used in sample design
1
Agglomération de Lomé
2
Maritime-urban
3
Maritime-rural
4
Plateaux-urban
5
Plateaux-rural
6
Centrale-urban
7
Centrale-rural
8
Kara-urban
9
Kara-rural
10
Savanes-urban
11
Savanes-rural
Region
1
Agglomération de Lomé
2
Maritime
3
Plateaux
4
Centrale
5
Kara
6
Savanes
Type of place of residence
1
Urban
2
Rural
NA - De facto place of residence
0
Capital, large city
1
Small city
2
Town
3
Countryside
Number of visits
Interviewer identification
NA - Keyer identification
Field supervisor
NA - Field editor
NA - Office editor
NA - Line number of husband
0
Husband not in household
Cluster altitude in meters
Household selected for hemoglobin
0
Not selected
1
Selected
Language of questionnaire
1
French
Language of interview
1
French
2
Ewe/Mina
3
Kabye
4
Kotokoli/Tem
5
Akposso/Akebou
6
Ife/Ana
7
Moba-gourma
8
Tchokossi
9
Bassar/Konkomba
96
Other
97
Other foreign
Native language of respondent
1
French
2
Ewe/Mina
3
Kabye
4
Kotokoli/Tem
5
Akposso/Akebou
6
Ife/Ana
7
Moba-gourma
8
Tchokossi
9
Bassar/Konkomba
96
Other
97
Other foreign
Translator used
0
No
1
Yes
Case Identification
Case Identification
Region
1
Agglomération de Lomé
2
Maritime
3
Plateaux
4
Centrale
5
Kara
6
Savanes
Type of place of residence
1
Urban
2
Rural
Highest educational level
0
No education
1
Primary
2
Secondary
3
Higher
Highest year of education
0
No years completed at level V106
Source of drinking water
10
PIPED WATER
11
Piped into dwelling
12
Piped to yard/plot
13
Piped to neighbor
14
Public tap/standpipe
20
TUBE WELL WATER
21
Tube well or borehole
30
DUG WELL (OPEN/PROTECTED)
31
Protected well
32
Unprotected well
40
SURFACE WATER
41
Protected spring
42
Unprotected spring
43
River/dam/lake/ponds/stream/canal/irrigation channel
51
Rainwater
61
Tanker truck
62
Cart with small tank
71
Bottled water
72
Water in sachet
96
Other
97
Not a dejure resident
Time to get to water source
996
On premises
997
Not a dejure resident
998
Don't know
Type of toilet facility
10
FLUSH TOILET
11
Flush to piped sewer system
12
Flush to septic tank
13
Flush to pit latrine
14
Flush to somewhere else
15
Flush, don't know where
20
PIT TOILET LATRINE
21
Ventilated Improved Pit latrine (VIP)
22
Pit latrine with slab
23
Pit latrine without slab/open pit
30
NO FACILITY
31
No facility/bush/field
41
Composting toilet
42
Bucket toilet
43
Hanging toilet/latrine
96
Other
97
Not a dejure resident
Household has: electricity
0
No
1
Yes
7
Not a dejure resident
Household has: radio
0
No
1
Yes
7
Not a dejure resident
Household has: television
0
No
1
Yes
7
Not a dejure resident
Household has: refrigerator
0
No
1
Yes
7
Not a dejure resident
Household has: bicycle
0
No
1
Yes
7
Not a dejure resident
Household has: motorcycle/scooter
0
No
1
Yes
7
Not a dejure resident
Household has: car/truck
0
No
1
Yes
7
Not a dejure resident
Main floor material
10
NATURAL
11
Earth/Sand
12
Dung
20
RUDIMENTARY
21
Wood Planks
22
Palms/Bamboo
30
FINISHED
31
Parquet or polished wood
32
Vinyl or asphalt strips
33
Tile
34
Cement
35
Carpet
96
Other
97
Not a dejure resident
Main wall material
10
NATURAL
11
No wall
12
Bamboo / cane / palm / trunk
13
Mud
20
RUDIMENTARY
21
Bamboo with mud
22
Stone with mud
23
Adobe not covered
24
Plywood
25
Cardboard
26
Recovered wood
30
FINISHED
31
Cement
32
Stone with lime/wood
33
Bricks
34
Cement blocks
35
Adobe overlay
36
Wooden board/shingles
96
Other
97
Not a dejure resident
Main roof material
10
NATURAL
11
No roof
12
Thatch/palm/leaf
13
Mud
20
RUDIMENTARY
21
Mat
22
Palm/bamboo
23
Plywood
24
Cardboard
30
FINISHED
31
Sheet metal
32
Wood
33
Zinc/cement fiber
34
Roof tiles
35
Cement
36
Shingles
96
Other
97
Not a dejure resident
Religion
1
Traditionalist / Animist
2
Muslim
3
Catholic
4
Evangelical Presbyterian
5
Methodist
6
Assembly of God
7
Baptist
8
Pentecostal
9
Jehovah's Witness
10
Adventist
11
Other Christian
12
No religion
96
Other
Ethnicity
1
Adja-Ewe/Mina
2
Kabye/Tem
3
Akposso/Akebou
4
Ana-Ife
5
Para-Gourma/Akan
95
Other Togolese
96
Stranger
Education in single years
97
Inconsistent
NA - De facto place of residence
0
Capital, large city
1
Small city
2
Town
3
Countryside
Usual resident or visitor
1
Usual resident
2
Visitor
Number of household members (listed)
Number of children 5 and under in household (de jure)
Number of eligible women in household (de facto)
De jure region of residence
0
Abroad
1
Agglomération de Lomé
2
Maritime
3
Plateaux
4
Centrale
5
Kara
6
Savanes
97
Not dejure resident
De jure type of place of residence
0
Abroad
1
Urban
2
Rural
7
Not a dejure resident
NA - De jure place of residence
0
Capital, large city
1
City
2
Town
3
Countryside
4
Abroad
7
Not a dejure resident
Educational attainment
0
No education
1
Incomplete primary
2
Complete primary
3
Incomplete secondary
4
Complete secondary
5
Higher
Relationship to household head
1
Head
2
Wife
3
Daughter
4
Daughter-in-law
5
Granddaughter
6
Mother
7
Mother-in-law
8
Sister
9
Co-spouse
10
Other relative
11
Adopted/foster child
12
Not related
98
Don't know
Sex of household head
1
Male
2
Female
Age of household head
97
97+
98
Don't know
Household has: telephone (land-line)
0
No
1
Yes
7
Not a dejure resident
All woman factor - total
All woman factor - urban/rural
All woman factor - regional
All woman factor - educational
All woman factor - wealth index
Literacy
0
Cannot read at all
1
Able to read only parts of sentence
2
Able to read whole sentence
3
No card with required language
4
Blind/visually impaired
Toilet facilities shared with other households
0
No
1
Yes
7
Not a dejure resident
Type of cooking fuel
1
Electricity
2
LPG
3
Natural gas
4
Biogas
5
Kerosene
6
Coal, lignite
7
Charcoal
8
Wood
9
Straw/shrubs/grass
10
Agricultural crop
11
Animal dung
12
Sawdust
95
No food cooked in house
96
Other
97
Not a dejure resident
Wealth index combined
1
Poorest
2
Poorer
3
Middle
4
Richer
5
Richest
Wealth index factor score combined (5 decimals)
Wealth index for urban/rural
1
Poorest
2
Poorer
3
Middle
4
Richer
5
Richest
Wealth index factor score for urban/rural (5 decimals)
Type of mosquito bed net(s) slept under last night
0
No net
1
Only treated nets
2
Both treated and untreated nets
3
Only untreated nets
Case Identification
Case Identification
Birth column number
Birth order number
Child is twin
0
Single birth
1
1st of multiple
2
2nd of multiple
3
3rd of multiple
4
4th of multiple
5
5th of multiple
Month of birth
Year of birth
Date of birth (CMC)
Sex of child
1
Male
2
Female
Child is alive
0
No
1
Yes
NA - Age at death
100
Died on day of birth
101
Days: 1
199
Days: number missing
201
Months: 1
299
Months: number missing
301
Years: 1
399
Years: number missing
997
Inconsistent
998
Don't know
NA - Age at death (months, imputed)
Current age of child
Child lives with whom
0
Respondent
1
Father
2
Other relative
3
Someone else
4
Lives elsewhere
Completeness of information
0
Month, year and day
1
Month and year - information complete
2
Month and age - year imputed
3
Year and age - month imputed
4
Year and age - year ignored
5
Year - age/month imputed
6
Age - year/month imputed
7
Month - age/year imputed
8
None - all imputed
Preceding birth interval (months)
Succeeding birth interval (months)
NA - Flag for age at death
0
No flag
1
> interview
2
< breastfeeding
3
< age supplemented
4
< first breastfed
5
< last vaccination
6
Outside range
7
Imputed, units given
8
Imputed, no units
Live birth between births
0
No
1
Yes
Child's line number in household
0
Not listed in household
Day of birth
Century Day Code of birth (CDC)
Current age of child in months (months since birth for dead children)
Case Identification
Case Identification
Total children ever born
Sons at home
Daughters at home
Sons elsewhere
Daughters elsewhere
Sons who have died
Daughters who have died
Births in last five years
0
No births
Births in past year
0
No births
Births in month of interview
Currently pregnant
0
No or unsure
1
Yes
Duration of current pregnancy
Number of living children
Living children + current pregnancy
Living children + current pregnancy (grouped)
6
6+
Last birth to interview (months)
Completeness of current pregnancy information
7
Month - exact date
8
None - date placed
Entries in birth history
Birth between last and interview
0
No
1
Yes
Births in last three years
Case Identification
Case Identification
Index to Birth History
Prenatal: Doctor
0
No
1
Yes
Prenatal: Medical assistant
0
No
1
Yes
Prenatal: Nurse/midwife
0
No
1
Yes
Prenatal: Auxiliary midwife
0
No
1
Yes
Prenatal: Matron
0
No
1
Yes
NA - Prenatal: CS health professional
0
No
1
Yes
Prenatal: Traditional birth attendant
0
No
1
Yes
Prenatal: Community/village health worker
0
No
1
Yes
NA - Prenatal: CS other person
0
No
1
Yes
NA - Prenatal: CS other person
0
No
1
Yes
Prenatal: other
0
No
1
Yes
NA - Prenatal: CS other
0
No
1
Yes
NA - Prenatal: CS other
0
No
1
Yes
Prenatal: no one
0
No: some care
1
Yes: no care
During pregnancy took: SP/fansidar for malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy took: chloroquine for malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy took: CS drug for malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy took: CS drug for malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy took: CS drug for malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy took: CS drug for malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy took: CS drug for malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy took: other drug for malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy took: don't know
0
No
1
Yes: don't know which drug taken
8
Don't know
NA - During pregnancy took: no drug for malaria
0
No
1
Yes, took no drug
8
Don't know
Case Identification
Case Identification
NA - Last birth a caesarean section
0
No
1
Yes
Currently breastfeeding
0
No
1
Yes
Currently amenorrheic
0
No
1
Yes
Currently abstaining
0
No
1
Yes
Entries in pregnancy and postnatal care roster
NA - Entries in immunization roster
Entries in child health roster
Entries in height/weight roster
Women's age in years (from household questionnaire)
Under age 18 (from household questionnaire)
1
Under age 18
2
Age 18 or older
Line number of parent/caretaker
0
Not in household
Read consent statement - hemoglobin
1
Granted
2
Parent/other refused
3
Respondent refused
4
Adult/parent not present
Hemoglobin level (g/dl - 1 decimal)
994
Not present
995
Refused
Currently pregnant (from household questionnaire)
0
No/don't know
1
Yes
Result of measurement - hemoglobin
0
Measured
3
Not present
4
Refused
6
Other
7
No measurement found in household
Hemoglobin level adjusted for altitude and smoking (g/dl - 1 decimal)
Anemia level
1
Severe
2
Moderate
3
Mild
4
Not anemic
NA - Agrees to referral - anemia
0
No
1
Yes
Have mosquito bed net for sleeping (from household questionnaire)
0
No
1
Yes
Children under 5 slept under mosquito bed net last night (household questionnair
0
No
1
All children
2
Some children
3
No net in household
Respondent slept under mosquito bed net
0
No
1
Yes
Record for Last Birth
0
See specific questions
1
Last birth only
2
All births in last 5 years
Case Identification
Case Identification
Index to birth history
Had fever in last two weeks
0
No
1
Yes
8
Don't know
NA - Had cough in last two weeks
0
No
1
Yes, last 24 hours
2
Yes, last two weeks
8
Don't know
Fever/cough: Government hospital
0
No
1
Yes
Fever/cough: Government health center
0
No
1
Yes
Fever/cough: Dispensary
0
No
1
Yes
Fever/cough: MCH
0
No
1
Yes
Fever/cough: Government health post
0
No
1
Yes
Fever/cough: Mobile clinic
0
No
1
Yes
Fever/cough: Fieldworker/Community health worker
0
No
1
Yes
Fever/cough: Other public sector
0
No
1
Yes
NA - Fever/cough: CS public sector
0
No
1
Yes
Fever/cough: private hospital/ clinic
0
No
1
Yes
Fever/cough: private pharmacy
0
No
1
Yes
Fever/cough: private doctor
0
No
1
Yes
Fever/cough: Other private sector
0
No
1
Yes
NA - Fever/cough: CS private medical
0
No
1
Yes
NA - Fever/cough: CS private medical
0
No
1
Yes
NA - Fever/cough: CS private medical
0
No
1
Yes
NA - Fever/cough: CS private medical
0
No
1
Yes
NA - Fever/cough: CS private medical
0
No
1
Yes
Fever/cough: Shop
0
No
1
Yes
Fever/cough: Traditional practitioner
0
No
1
Yes
Fever/cough: Market
0
No
1
Yes
Fever/cough: Itinerant drug seller
0
No
1
Yes
NA - Fever/cough: CS other sector
0
No
1
Yes
Fever/cough: other
0
No
1
Yes
Fever/cough: no treatment
0
No: received treatment
1
Yes: no treatment
Fever/cough: medical treatment
0
No
1
Yes
SP/Fansidar taken for fever
0
No
1
Yes
Chloroquine taken for fever
0
No
1
Yes
Amodiaquine taken for fever
0
No
1
Yes
Quinine tablets taken for fever
0
No
1
Yes
Quinine injection/IV taken for fever
0
No
1
Yes
Dihydroartemisinin-piperaquine taken for fever
0
No
1
Yes
Artesunate rectal taken for fever
0
No
1
Yes
Artesunate injection/IV taken for fever
0
No
1
Yes
Artemether-lumefantrine taken for fever
0
No
1
Yes
Artesunate-amodiaquine taken for fever
0
No
1
Yes
Other antimalarial taken for fever
0
No
1
Yes
Antibiotic pill/syrup taken for fever
0
No
1
Yes
Antibiotic injection taken for fever
0
No
1
Yes
Aspirin taken for fever
0
No
1
Yes
Acetaminophen/paracetamol/panadol taken for fever
0
No
1
Yes
Ibuprofen taken for fever
0
No
1
Yes
Artesunate mefloquine taken for fever
0
No
1
Yes
Other taken for fever
0
No
1
Yes
Nothing taken and didn't seek treatment for fever/cough
0
No
1
Yes, nothing taken
Don't know if or what was taken for fever
0
No
1
Yes, don't know
Place first sought treatment for fever
10
PUBLIC SECTOR
11
Government hospital
12
Government health center
13
Dispensary
14
MCH
15
Government health post
16
Mobile clinic
17
Fieldworker/Community health worker
18
Other public sector
20
PRIVATE SECTOR
21
Private hospital, clinic
22
Pharmacy
23
Private doctor
24
Other private sector
30
OTHER
31
Shop
32
Traditional practitioner
33
Market
34
itinerant drug seller
96
Other
Number of days after fever began sought advice or treatment
0
Same day
98
Don't know
Blood taken from child's finger/heel for testing
0
No
1
Yes
8
Don't know
Case Identification
Case Identification
Index to Birth History
Child's age in months
Day of birth of child
97
Inconsistent
98
Don't know
Date measured (day)
Date measured (month)
Date measured (year)
Line number of parent/caretaker
0
Not in household
Read consent statement - hemoglobin
1
Granted
2
Refused
3
Not present/other
Hemoglobin level (g/dl - 1 decimal)
994
Not present
995
Refused
996
Other
Result of measurement - hemoglobin
0
Measured
1
Dead
3
Not present
4
Refused
6
Other
7
No measurement found in household
Hemoglobin level adjusted for altitude (g/dl - 1 decimal)
995
Refused
997
Inconsistent
Anemia level
1
Severe
2
Moderate
3
Mild
4
Not anemic
NA - Agrees to referral - anemia
0
No
1
Yes
Case Identification
Case Identification
Time interview started (hhmm - 24 hour clock)
Time interview ended (hhmm - 24 hour clock)
Length of interview in minutes
95
95+
96
2+ visits
97
Inconsistent
Number of visits
Interviewer identification
NA - Keyer identification
Case Identification
Case Identification
Index to Birth History
Type of mosquito bed net(s) child slept under last night
0
No net
1
Only treated nets
2
Both treated and untreated nets
3
Only untreated nets
Number of times took fansidar during pregnancy
98
Don't know
Source of antimalarial during pregnancy
1
Antenatal visit
2
Another facility visit
3
Community health worker
6
Other source
NA - Child has fever/cough now
0
No
1
Yes, fever only
2
Yes, cough only
3
Both fever and cough
8
Don't know
NA - Child has had convulsions in last 2 weeks
0
No
1
Yes
8
Don't know
Fansidar taken for fever
0
No
1
Yes
Chloroquine taken for fever
0
No
1
Yes
Amodiaquine taken for fever
0
No
1
Yes
Quinine tablets taken for fever
0
No
1
Yes
Quinine injection/IV taken for fever
0
No
1
Yes
Dihydroartemisinin-piperaquine taken for fever
0
No
1
Yes
Artesunate rectal taken for fever
0
No
1
Yes
Artesunate injection/IV taken for fever
0
No
1
Yes
Artemether-lumefantrine taken for fever
0
No
1
Yes
Artesunate-Amodiaquine taken for fever
0
No
1
Yes
Other antimalarial taken for fever
0
No
1
Yes
Antibiotic pill/syrup taken for fever
0
No
1
Yes
Antibiotic injection taken for fever
0
No
1
Yes
Aspirin taken for fever
0
No
1
Yes
Acetaminophen/paracetamol/panadol taken for fever
0
No
1
Yes
Ibuprofen taken for fever
0
No
1
Yes
Artesunate mefloquine taken for fever
0
No
1
Yes
NA - CS other taken for fever
0
No
1
Yes
NA - CS other taken for fever
0
No
1
Yes
Other taken for fever
0
No
1
Yes
Nothing taken and didn't seek treatment for fever/cough
0
No
1
Yes, nothing taken
Don't know if or what was taken for fever
0
No
1
Yes, don't know
NA - Injection given for fever/convulsion
0
No
1
Yes
NA - Suppository given for fever/convulsion
0
No
1
Yes
NA - No suppository or injection given for fever/convulsion
0
No
1
Yes
NA - Don't know if suppository or injection given for fever/convulsion
0
No
1
Yes
Timing of start of fansidar
0
Same day as fever/cough
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
NA - Number of days child took fansidar
7
7+ days
8
Don't know
NA - First source for fansidar
0
Other source
1
At home
8
Don't know
Timing of start of chloroquine
0
Same day as fever/cough
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
NA - Number of days child took chloroquine
7
7+ days
8
Don't know
NA - First source for chloroquine
0
Other source
1
At home
8
Don't know
Timing of start of amodiaquine
0
Same day as fever/cough
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
NA - Number of days child took amodiaquine
7
7+ days
8
Don't know
NA - First source for amodiaquine
0
Other source
1
At home
8
Don't know
Timing of start of quinine
0
Same day as fever/cough
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
NA - Number of days child took quinine
7
7+ days
8
Don't know
NA - First source for quinine
0
Other source
1
At home
8
Don't know
NA - For fever/convulsion: consulted traditional healer
0
No
1
Yes
NA - For fever/convulsion: gave tepid sponging
0
No
1
Yes
NA - For fever/convulsion: gave herbs
0
No
1
Yes
NA - For fever/convulsion: CS
0
No
1
Yes
NA - For fever/convulsion: CS
0
No
1
Yes
NA - For fever/convulsion: CS
0
No
1
Yes
NA - For fever/convulsion: other
0
No
1
Yes
NA - For fever/convulsion: gave/did nothing
0
No
1
Yes
NA - For fever/convulsion: don't know if something else was done
0
No
1
Yes
Timing of start of combination with artemisinin
0
Same day as fever/cough
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
NA - Number of days child took combination with artemisinin
7
7+ days
8
Don't know
NA - First source for combination with artemisinin
0
Other source
1
At home
8
Don't know
Timing of start of Artemether-lumefantrin
0
Same day as fever/cough
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
NA - Number of days child took CS antimalarial
7
7+ days
8
Don't know
NA - First source for CS antimalarial
0
Other source
1
At home
8
Don't know
Timing of start of Artesunate-amodiaquine
0
Same day as fever/cough
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
NA - Number of days child took CS antimalarial
7
7+ days
8
Don't know
NA - First source for CS antimalarial
0
Other source
1
At home
8
Don't know
Timing of start of other anti-malarial use
0
Same day as fever/cough
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
NA - Number of days child took other anti-malarial
7
7+ days
8
Don't know
NA - First source for other anti-malarial
0
Other source
1
At home
8
Don't know
NA - First source for antibiotic pill/syrup
0
Other source
1
At home
8
Don't know
Timing of start of artesunate
0
Same day as fever/cough
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
Case Identification
Case Identification
Structure number
Highest educational level
0
No education
1
Primary
2
Secondary or higher
Lack of hygiene in an environment: contract malaria
0
No
1
Yes
Mosquito bite: contract malaria
0
No
1
Yes
Not take preventive medication: ways to contract malaria
0
No
1
Yes
Physical effort/fatigue: ways to contract malaria
0
No
1
Yes
Direct exposure to sun light while working: ways to contract malaria
0
No
1
Yes
Stay under the rain: ways to contract malaria
0
No
1
Yes
Sudden change of climate: ways to contract malaria
0
No
1
Yes
Malnutrition: ways to contract malaria
0
No
1
Yes
Fruits consumption: ways to contract malaria
0
No
1
Yes
Lack of personal hygiene: ways to contract malaria
0
No
1
Yes
In the bushes: ways to contract malaria
0
No
1
Yes
Other: ways to contract malaria
0
No
1
Yes
Don't know: ways to contract malaria
0
No
1
Yes
Main symptoms of malaria
1
Fever
2
Loss of appetite and vomiting
3
High temperature with convulsions
4
High temperature with loss of consciousness
5
Temperature persistence
6
Convulsions
7
Jaundice
8
Fatigue
96
Other
98
Don't know
Protect against malaria by: sleep under a mosquito net
0
No
1
Yes
Protect against malaria by: sleep under an insecticide treated mosquito net
0
No
1
Yes
Protect against malaria by: sleep under an insecticide treated mosquito net ever
0
No
1
Yes
Protect against malaria by: take preventive medication
0
No
1
Yes
Protect against malaria by: take medication while pregnant
0
No
1
Yes
Protect against malaria by: use an insecticide/diffuser/cream/lotions/repellents
Protect against malaria by: use mosquito coils
0
No
1
Yes
Protect against malaria by: do not get cold
0
No
1
Yes
Protect against malaria by: stay exposed to sun light
0
No
1
Yes
Protect against malaria by: keep house surroundings clean
0
No
1
Yes
Protect against malaria by: spray inside of the house
0
No
1
Yes
Protect against malaria by: other
0
No
1
Yes
Protect against malaria by: Don't know
0
No
1
Yes
Heard or seen malaria messages in the last 6 months
0
No
1
Yes
9
Missing
Heard malaria messages in the last 6 months: Community health worker
0
No
1
Yes
Heard malaria messages in the last 6 months: radio
0
No
1
Yes
Seen malaria messages in the last 6 months: television
0
No
1
Yes
Seen malaria messages in the last 6 months: poster/billboard
0
No
1
Yes
Heard or seen malaria messages in the last 6 months: community event
0
No
1
Yes
Heard malaria messages in the last 6 months: village/district chief
0
No
1
Yes
Seen malaria messages in the last 6 months: health facility
0
No
1
Yes
Heard or seen malaria messages in the last 6 months: elsewhere
0
No
1
Yes
Heard or seen malaria messages in the last 6 months about Insecticide-treated be
0
No
1
Yes
9
Missing
Heard or seen malaria messages in the last 6 months about intra-domiciliary DDT
0
No
1
Yes
9
Missing
Heard or seen malaria messages in the last 6 months about intermittent preventiv
0
No
1
Yes
9
Missing
Heard or seen malaria messages in the last 6 months about other malaria preventi
0
No
1
Yes
9
Missing
Heard or seen malaria messages in the last 6 months about seeking early care in
0
No
1
Yes
9
Missing
Heard or seen malaria messages in the last 6 months about use of rapid diagnosti
0
No
1
Yes
9
Missing
Heard or seen malaria messages in the last 6 months about treatment with artemis
0
No
1
Yes
9
Missing
Heard or seen malaria messages in the last 6 months about other malaria treatmen
0
No
1
Yes
9
Missing
Children born since January 2012
0
None
Case Identification
Case Identification
Index to Birth History
Medicine taken between Aug and Nov 2016 consecutively for 3-4 months to avoid ma
0
No
1
Yes
8
Don't know
Name of medicine taken
1
Sulfadoxine-pyrimethamine and amodiaquine (SP+AQ)
6
Other
Times medicine taken
Reason for not taking medicine to avoid malaria
1
Severely sick
2
Already had malaria
3
Already taking an antimalarial
4
Allergic to medicine
5
Was not home
6
Parents/children refused
7
Barely born
8
Not born yet
96
Other
98
Don't know
Since Aug 2017, has child taken antimalarial medicine every month?
0
No
1
Yes
8
Don't know
Name of medicine taken
1
Sulfadoxine-pyrimethamine and amodiaquine (SP+AQ)
6
Other
How long after fever started did first take a combination of Dihydroartemisinin
0
Same day
1
Next day
2
Two days after fever
3
Three days or more after fever
8
Don't know
9
Missing
How long after fever started did first take Artesunate and mefloquine
0
Same day
1
Next day
2
Two days after fever
3
Three days or more after fever
8
Don't know
9
Missing
Fieldworker code
Country code and phase
Fieldworker region of residence
1
Lomé
2
Maritime
3
Plateaux
4
Centrale
5
Kara
6
Savanes
Fieldworker type of place of residence
1
CIty
2
Town
3
Rural
Fieldworker age
Fieldworker sex
1
Male
2
Female
Fieldworker marital status
1
Married
2
Living with a man/woman
3
Widowed
4
Divorced
5
Separated
6
Never married or living with a man / woman
Fieldworker number of living children
Fieldworker ever had a child who died
1
Yes
2
No
Highest level of school attended by fieldworker
1
Primary
2
Secondary 1st Cycle
3
Secondary 2nd Cycle
4
Superior
Highest grade/form/year at that level completed by fieldworker
0
Less than a year
1
1st year
2
2nd year
3
3rd year
4
4th year
5
5th year
6
6th year
Fieldworker religion
1
Traditionalist / Animist
2
Muslim
3
Catholic
4
Evangelical Presbyterian
5
Methodist
6
Assembly of God
7
Baptist
8
Pentecostal
9
Jehovah's Witness
10
Adventist
11
Other Christian
12
No religion
96
Other
Fieldworker ethnicity
1
Adja-Ewe/Mina
2
Kabye/Tem
3
Akposso/Akebou
4
Ana-Ife
5
Para-Gourma/Akan
95
Other Togolese
96
Stranger
Languages spoken by fieldworker
French
Ewe/Mina
Kabye
Kotokoli/Tem
Akposso/Akebou
Ife/Ana
Moba-gourma
Tchokossi
Bassar/Konkomba
Other Foreign
Others
No other language
Fieldworker's mother tongue/native language
1
French
2
Ewe/Mina
3
Kabye
4
Kotokoli/Tem
5
Akposso/Akebou
6
Ife/Ana
7
Moba-gourma
8
Tchokossi
9
Bassar/Konkomba
96
Others
97
Other foreign
Has fieldworker ever worked on a DHS
1
Yes
2
No
Has fieldworker ever worked on any other survey
1
Yes
2
No
Was fieldworker working for agency at the time employed for DHS
1
Yes, [Implementing agency 1]
2
Yes, [Implementing agency 2]
3
No
Is fieldworker a permanent or temporary employee of agency
1
Permanent
2
Temporary