Development Data Group
2017-10-10
Nesstar Publisher
Version 01 (October 2017). Metadata is excerpted from "Sierra Leone Malaria Indicator Survey 2016" Report.
Malaria Indicator Survey 2016
MIS / SLMIS 2016
SLE_2016_MIS_v01_M
National Malaria Control Programme (NMCP)
Catholic Relief Services
College of Medicine and Allied Health Sciences University of Sierra Leone
Statistics Sierra Leone
ICF
Nesstar Publisher
Government of Sierra Leone
Global Fund
World Health Organization
United Nation Children’s Fund
Information about The DHS Program
General Inquiries
Data and Data Related Resources
Demographic and Health Survey, MIS
The 2016 Sierra Leone Malaria Indicator Survey (SLMIS) is the second MIS conducted in Sierra Leone. The first MIS was conducted in 2003.
The 2016 SLMIS, a comprehensive, nationally-representative household survey, was designed in line with the Roll Back Malaria Monitoring and Evaluation Working Group (RBM-MERG) guidelines. The primary objective of the survey was to provide up-to-date estimates of basic demographic and health indicators related to malaria. On site in Sierra Leone, the survey team collected data on vector control interventions such as mosquito nets and indoor residual spraying of insecticides, on intermittent preventive treatment of malaria in pregnant women, and on care seeking and treatment of fever in children. Young children were also tested for anaemia and for malaria infection. Knowledge of malaria was assessed among interviewed women. The information collected during the survey will assist policy makers and programme managers in evaluating and designing programmes and strategies for improving malaria control. The broader goal is to improve the health of the country’s population and provide estimates of indicators defined in the 2016-2020 National Malaria Strategic Plan (MoHS 2015a).
Sierra Leone
National coverage
The survey covered all de jure household members (usual residents), women age 15-49 years and children age 6-59 months resident in the household.
Sample survey data [ssd]
National Malaria Control Programme
Face-to-Face[f2f]
Three questionnaires—the Household Questionnaire, the Woman’s Questionnaire, and the Biomarker Questionnaire—were used for the 2016 SLMIS. Core questionnaires available from the RBM-MERG were adapted to reflect the population and health issues relevant to Sierra Leone. The modifications were decided upon at a series of meetings with various stakeholders from the National Malaria Control Programme (NMCP) and other government ministries and agencies, nongovernmental organisations, and international donors. The questionnaires were in English, and they were programmed onto tablet computers, enabling use of computer-assisted personal interviewing (CAPI) for the survey.
A total of of the 6,720 households selected for the sample, 6,719 were occupied at the time of fieldwork. Among the occupied households, 6,719 were successfully interviewed, yielding a total household response rate of nearly 100%. In the interviewed households, 8,526 eligible women were identified to be eligible for individual interview and 8,501 were successfully interviewed, yielding a response rate of 99.7%.
Detailed description of estimates of sampling errors are presented in Appendix B of the survey report.
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
6720
52
Nesstar 200801
RECH1.NSDstat
40049
31
Nesstar 200801
RECH2.NSDstat
6719
97
Nesstar 200801
RECH3.NSDstat
6720
7
Nesstar 200801
RECH6.NSDstat
7446
46
Nesstar 200801
RECHML.NSDstat
8144
20
Nesstar 200801
RECHMH.NSDstat
40049
26
Nesstar 200801
REC01.NSDstat
8526
45
Nesstar 200801
REC11.NSDstat
8501
64
Nesstar 200801
REC21.NSDstat
6890
24
Nesstar 200801
REC22.NSDstat
8501
45
Nesstar 200801
REC41.NSDstat
4666
24
Nesstar 200801
REC4A.NSDstat
6213
33
Nesstar 200801
REC81.NSDstat
8501
15
Nesstar 200801
RECML.NSDstat
6213
72
Nesstar 200801
REC91.NSDstat
8526
111
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
Stratification used in sample design
Region
1
Eastern Province
2
Northern Province
3
Southern Province
4
Western Area
Type of place of residence
1
Urban
2
Rural
NA - Place of residence
0
Capital, large city
1
Small city
2
Town
3
Countryside
NA - Household selected for male interview
0
Not selected
1
Men's survey
2
Husband's survey
NA - Household weight for male subsample (6 decimals)
Field supervisor
NA - Field editor
NA - Office editor
Number of eligible children for height and weight
Cluster altitude in meters
NA - Total adults measured
Household selected for hemoglobin
0
Not selected
1
Selected
NA - Household selected for Domestic Violence module
0
Household not selected
1
Household selected
Language of questionnaire
1
English
2
Krio
3
Mende
4
Temne
5
Madingo
6
Loko
7
Sherbro
8
Limba
9
Kissi
10
Kono
11
Susu
12
Fullah
13
Krim
14
Yalunka
15
Koranko
16
Vai
96
Other
Language of interview
1
English
2
Krio
3
Mende
4
Temne
5
Madingo
6
Loko
7
Sherbro
8
Limba
9
Kissi
10
Kono
11
Susu
12
Fullah
13
Krim
14
Yalunka
15
Koranko
16
Vai
96
Other
Native language of respondent
1
English
2
Krio
3
Mende
4
Temne
5
Madingo
6
Loko
7
Sherbro
8
Limba
9
Kissi
10
Kono
11
Susu
12
Fullah
13
Krim
14
Yalunka
15
Koranko
16
Vai
96
Other
Translator used
0
No
1
Yes
Time interview started (hhmm - 24 hour clock)
Time interview ended (hhmm - 24 hour clock)
Length of interview in minutes
95
95+
96
2+ visits
97
Inconsistent
Number of visits for biomarker
Day of biomarker visit
Month of biomarker visit
Year of biomarker visit
Date of biomarker (CMC)
Date of biomarker Century Day Code (CDC)
Case Identification
Line number
Relationship to head
1
Head
2
Wife or husband
3
Son/daughter
4
Son/daughter-in-law
5
Grandchild
6
Parent
7
Parent-in-law
8
Brother/sister
9
Co-spouse
10
Other relative
11
Adopted/foster child
12
Not related
13
Niece/nephew by blood
14
Niece/nephew by marriage
98
Don't know
Usual resident
0
No
1
Yes
Slept last night
0
No
1
Yes
Sex of household member
1
Male
2
Female
Age of household members
95
95+
98
Don't know
NA - Highest educational level attained
0
No education, preschool
1
Primary
2
Secondary
3
Higher
8
Don't know
NA - Highest year of education completed
98
Don't know
NA - Education completed in single years
97
Inconsistent
98
Don't know
NA - Educational attainment
0
No education
1
Incomplete primary
2
Complete primary
3
Incomplete secondary
4
Complete secondary
5
Higher
8
Don't know
NA - Member still in school
0
No
1
Yes
NA - Mother alive
0
No
1
Yes
8
Don't know
NA - Mother's line number
0
Mother not in household
NA - Father alive
0
No
1
Yes
8
Don't know
NA - Father's line number
0
Father not in household
NA - Current marital status
0
Never married
1
Married
2
Living together
3
Widowed
4
Divorced
5
Not living together
NA - Currently, formerly, never married
0
Never married
1
Currently married
2
Formerly/ever married
Eligibility for female interview
0
Not eligible
1
Eligible
NA - Eligibility for male interview
0
Not eligible
1
Eligible
Children eligibility for height/weight and hemoglobin
0
Not eligible
1
Eligible
NA - Member attended school during current school year
0
No
1
Currently attending
2
Attended at some time
NA - Educational level during current school year
0
No education, preschool
1
Primary
2
Secondary
3
Higher
8
Don't know
NA - Grade of education during current school year
98
Don't know
NA - Education in single years - current school year
97
Inconsistent
98
Don't know
NA - Member attended school during previous school year
0
No
1
Yes
NA - Educational level during previous school year
0
No education, preschool
1
Primary
2
Secondary
3
Higher
8
Don't know
NA - Grade of education during previous school year
98
Don't know
NA - Education in single years - previous school year
97
Inconsistent
98
Don't know
NA - School attendance status
0
Never attended
1
Entered school
2
Advanced
3
Repeating
4
Dropout
5
Left school 2+ years ago
8
Don't know
NA - Member has a birth certificate
0
Neither certificate or registered
1
Has certificate
2
Registered
8
Don't know
Case Identification
Source of drinking water
10
PIPED WATER
11
Piped into dwelling
12
Piped to yard/plot
13
Piped to neighbor
14
Public tap/standpipe
20
TUBE WELL WATER
21
Tube well or borehole
30
DUG WELL (OPEN/PROTECTED)
31
Protected well
32
Unprotected well
40
SURFACE FROM SPRING
41
Protected spring
42
Unprotected spring
43
River/dam/lake/ponds/stream/canal/irrigation channel
51
Rainwater
61
Tanker truck
62
Cart with small tank
71
Bottled water
72
Water sachets
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
0
No
1
Yes
Has bicycle
0
No
1
Yes
Has motorcycle/scooter
0
No
1
Yes
Has car/truck
0
No
1
Yes
Main floor material
11
Earth/sand
12
Dung
21
Wood planks
22
Palm/bamboo
31
Parquet or polished wood
32
Vinyl or asphalt strips
33
Ceramic tiles
34
Cement
35
Carpet
96
Other
97
Not a dejure resident
Main wall material
11
No walls
12
Cane/palm/trunks
13
Dirt
21
Bamboo with mud
22
Stone with mud
23
Uncovered adobe
24
Plywood
25
Cardboard
26
Reused wood
31
Cement
32
Stone with lime/cement
33
Bricks
34
Cement blocks
35
Wattle
36
Wood planks/shingles
37
Zinc
96
Other
97
Not a dejure resident
Main roof material
11
No roof
12
Thatch/palm leaf
13
Sod
21
Rustic mat
22
Palm/bamboo
23
Wood planks
24
Cardboard
31
Zinc
32
Wood
33
Calamine/cement fiber
34
Ceramic tiles
35
Cement
36
Roofing shingles
96
Other
97
Not a dejure resident
Number of rooms used for sleeping
Relationship structure
0
No adults
1
One adult
2
Two adults, opposite sex
3
Two adults, same sex
4
Three+ related adults
5
Unrelated adults
Line number of head of household
Sex of head of household
1
Male
2
Female
Age of head of household
97
97+
98
Don't know
Has telephone (land-line)
0
No
1
Yes
Share toilet with other households
0
No
1
Yes
Type of cooking fuel
1
Electricity
2
LPG
3
Natural gas
4
Biogas
5
Kerosene
6
Coal, lignite
7
Charcoal
8
Wood
9
Straw/shrubs/grass
10
Agricultural crop
11
Animal dung
95
No food cooked in house
96
Other
Has mosquito bed net for sleeping
0
No
1
Yes
Children under 5 slept under mosquito bed net last night
0
No
1
All children
2
Some children
3
No net in household
NA - Place where household members wash their hands
1
Observed, fixed place
2
Observed, mobile place
3
Not observed: not in dwelling
4
Not observed: no permission to see
5
Not observed: other reason
NA - Presence of water at hand washing place
0
Water not available
1
Water is available
NA - Items present: Soap or detergent
0
No
1
Yes
NA - Items present: Ash, mud, sand
0
No
1
Yes
NA - Items present: CS
0
No
1
Yes
NA - Items present: CS
0
No
1
Yes
NA - Items present: CS
0
No
1
Yes
NA - Items present: None
0
No
1
Yes: no cleansing agent observed
NA - Result of salt test for iodine (PPM)
0
0 PPM (no iodine)
7
Below 15 PPM
15
15 PPM and above
30
30 PPM
994
Salt not tested
995
No salt in household
NA - Result of salt test for iodine
0
No iodine
1
Iodine present
3
No salt in household
6
Salt not tested
Location of source for water
1
In own dwelling
2
In own yard/plot
3
Elsewhere
NA - Person fetching water
1
Adult woman
2
Adult man
3
Female child under 15 years old
4
Male child under 15 years old
6
Other
NA - Anything done to water to make safe to drink
0
No
1
Yes
8
Don't know
NA - Water usually treated by: boil
0
No
1
Yes
8
Don't know
NA - Water usually treated by: add bleach/chlorine
0
No
1
Yes
8
Don't know
NA - Water usually treated by: strain through a cloth
0
No
1
Yes
8
Don't know
NA - Water usually treated by: use water filter
0
No
1
Yes
8
Don't know
NA - Water usually treated by: solar disinfection
0
No
1
Yes
8
Don't know
NA - Water usually treated by: let it stand and settle
0
No
1
Yes
8
Don't know
NA - Water usually treated by: CS
0
No
1
Yes
8
Don't know
NA - Water usually treated by: CS
0
No
1
Yes
8
Don't know
NA - Water usually treated by: CS
0
No
1
Yes
8
Don't know
NA - Water usually treated by: CS
0
No
1
Yes
8
Don't know
NA - Water usually treated by: CS
0
No
1
Yes
8
Don't know
NA - Water usually treated by: other
0
No
1
Yes
8
Don't know
NA - Water usually treated by: don't know
0
No
1
Yes: don't know what is done to water
8
Don't know
Number of households sharing toilet
95
10 or more households
98
Don't know
NA - Location of toilet facility
1
In own dwelling
2
In own yard/plot
3
Elsewhere
NA - Food cooked on stove or open fire
1
Open fire
2
Open stove
3
Closed stove with chimney
6
Other
NA - Household has a chimney, hood or neither
0
Neither chimney or hood
1
Chimney
2
Hood
NA - Food cooked in the house/ separate building/ outdoors
1
In the house
2
In a separate building
3
Outdoors
6
Other
NA - Household has separate room used as kitchen
0
No
1
Yes
Has mobile telephone
0
No
1
Yes
Has watch
0
No
1
Yes
Has animal-drawn cart
0
No
1
Yes
Has boat with a motor
0
No
1
Yes
Has a computer
0
No
1
Yes
Owns land usable for agriculture
0
No
1
Yes
Hectares of agricultural land (1 decimal)
950
95 or more
998
Unknown
Owns livestock, herds or farm animals
0
No
1
Yes
Owns 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
NA - Owns CS
0
None
95
95 or more
98
Unknown
NA - Owns CS
0
None
95
95 or more
98
Unknown
NA - Owns CS
0
None
95
95 or more
98
Unknown
NA - Owns CS
0
None
95
95 or more
98
Unknown
Has bank account
0
No
1
Yes
NA - Frequency household members smoke inside the house
0
Never
1
Daily
2
Weekly
3
Monthly
4
Less than once a month
Has dwelling been sprayed against mosquitoes in last 12 months
0
No
1
Yes
8
Don't know
Dwelling sprayed by: government worker/program
0
No
1
Yes
8
Don't know
Dwelling sprayed by: private company
0
No
1
Yes
8
Don't know
Dwelling sprayed by: NGO
0
No
1
Yes
8
Don't know
NA - Dwelling sprayed by: CS
0
No
1
Yes
8
Don't know
NA - Dwelling sprayed by: CS
0
No
1
Yes
8
Don't know
NA - Dwelling sprayed by: CS
0
No
1
Yes
8
Don't know
NA - Dwelling sprayed by: CS
0
No
1
Yes
8
Don't know
NA - Dwelling sprayed by: CS
0
No
1
Yes
8
Don't know
Dwelling sprayed by: other
0
No
1
Yes
8
Don't know
Dwelling sprayed by: don't know
0
No
1
Yes: don't know who sprayed the dwelling
8
Don't know if it was sprayed
Wealth index combined
1
Poorest
2
Poorer
3
Middle
4
Richer
5
Richest
Wealth index factor score combined (5 decimals)
Wealth index for urban/rural
1
Poorest
2
Poorer
3
Middle
4
Richer
5
Richest
Wealth index factor score for urban/rural (5 decimals)
Number of mosquito bed nets
98
Don't know
Number of mosquito bed nets with specific information
Number of children under mosquito bed net previous night
Case Identification
District
11
Kailahun
12
Kenema
13
Kono
21
Bombali
22
Kambia
23
Koinadugu
24
Port Loko
25
Tonkolili
31
Bo
32
Bonthe
33
Moyamba
34
Pujehun
41
West Area Rural
42
West Area Urban
Number of sleeping facilities
95
25 or more
98
Don't know
Boat without a motor
0
No
1
Yes
Preferred shape of mosquito net
1
Conical
2
Rectangular
3
Either
8
Don't know
Preferred color of mosquito net
1
White
2
Blue
3
Green
6
Other
Preferred hardness of net material
1
Soft ( polyster )
2
Hard ( polyethylene )
8
Don't know
Case Identification
Index to Household Schedule
Child's age in months
Child's age in days
NA - Child's weight in kilograms (1 decimal)
9994
Not present
9995
Refused
9996
Other
NA - Child's height in centimeters (1 decimal)
9994
Not present
9995
Refused
9996
Other
NA - Height/Age percentile
9998
Flagged cases
Height/Age standard deviation
9998
Flagged cases
NA - Height/Age percent of ref. median
99998
Flagged cases
NA - Weight/Age percentile
9998
Flagged cases
Weight/Age standard deviation
9998
Flagged cases
NA - Weight/Age percent of ref. median
99998
Flagged cases
NA - Weight/Height percentile
9998
Flagged cases
Weight/Height standard deviation
9998
Flagged cases
NA - Weight/Height percent of ref. median
99998
Flagged cases
NA - Result of measurement - height/weight
0
Measured
3
Not present
4
Refused
6
Other
NA - Height: lying or standing
0
Not measured
1
Lying
2
Standing
Day of birth
97
Inconsistent
98
Don't know
Date measured (day)
Date measured (month)
Date measured (year)
Century Day Code (CDC) of measurement
Fieldworker measurer code
Sex
1
Male
2
Female
Month of birth
97
Inconsistent
98
Don't know
Year of birth
9997
Inconsistent
9998
Don't know
Date of birth (CMC)
Century Day Code (CDC) of birth
Completeness of HC32 information
0
Month, year and day
1
Month and year - information complete
2
Month and age - year imputed
3
Year and age - month imputed
5
Year - age/month imputed
6
Age - year/month imputed
7
Month - age/year imputed
8
None - all imputed
Line number of parent/caretaker
0
Not in household
Read consent statement - hemoglobin
1
Granted
2
Refused
3
Not present/other
Hemoglobin level (g/dl - 1 decimal)
994
Not present
995
Refused
996
Other
Result of measurement - hemoglobin
0
Measured
3
Not present/other
4
Refused
6
Other
Hemoglobin level adjusted for altitude (g/dl - 1 decimal)
997
Inconsistent
Anemia level
1
Severe
2
Moderate
3
Mild
4
Not anemic
NA - Agrees to referral - anemia
0
No
1
Yes
Mother's line number (woman's questionnaire)
993
Mother not de facto
994
Incomplete woman's interview
995
Not in household
Mother's highest educational level
0
No education
1
Primary
2
Secondary
3
Higher
8
Don't know
Mother's highest year of education
98
Don't know
Preceding birth interval (months)
Birth order number
Mother's highest educational level (for preliminary and final report)
0
No education
1
Primary
2
Junior Secondary
3
Senior Secondary
4
Vocational / Commercial / Nursing / Technical /Teaching
5
Higher
8
Don't know
Height/Age standard deviation (new WHO)
9996
Height out of plausible limits
9997
Age in days out of plausible limits
9998
Flagged cases
Weight/Age standard deviation (new WHO)
9996
Height out of plausible limits
9997
Age in days out of plausible limits
9998
Flagged cases
Weight/Height standard deviation (new WHO)
9996
Height out of plausible limits
9997
Age in days out of plausible limits
9998
Flagged cases
BMI standard deviation (new WHO)
9996
Height out of plausible limits
9997
Age in days out of plausible limits
9998
Flagged cases
Case Identification
Mosquito Bed Net Designation Number
Net observed by interviewer
1
Observed - hanging
2
Observed - not hanging
3
Not observed - hanging
4
Not observed - not hanging
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
11
PERMANET
12
OLYSET
13
DURANET
16
Other/Don't know brand (LLIN)
96
Other type
98
Don't know type
Net treated since receiving
0
No
1
Yes
2
Permanent/LLIN net
8
Not sure
Time since last re-treatment (months)
95
25+ months ago
96
More than 3 years ago
98
Don't know
Insecticide-Treated Net (ITN)
0
No, don't know
1
Yes
Number of persons who slept under this net
5
5+
Someone slept under this net last night
0
No
1
Yes
8
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
Line number of person who slept in this net
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 hospital / health center
12
Mobile clinic
13
Community health worker
20
Private health facility
21
Private hospital / clinic
22
Mission/faith-based hospital
23
Mission/faith-based clinic
24
PVT mobile clinic
25
NGO
30
Other sources
31
Pharmacy
32
Shop/market
34
Traditional healer
35
School
96
Other
98
Don't know
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
95
95+
98
Don't know
Age in months (for children)
Flag for age from Individual file
0
No data from Individual file
1
Month and year - information complete
2
Month and age - year imputed
3
Year and age - month imputed
4
Year and age - year ignored
5
Year - age/month imputed
6
Age - year/month imputed
7
Month - age/year imputed
8
None - all imputed
Pregnancy status from Individual file
0
Not pregnant, don't know
1
Pregnant
Person slept under an ever-treated net
0
No
1
Yes
Person slept under an LLIN net
0
No
1
Yes
Line number of parent/caretaker (for malaria testing)
0
Not in household
Read consent statement for malaria
1
Granted
2
Refused
3
Not present / other
Final result of malaria from blood smear test
0
Negative
1
Positive
6
Test undetermined
7
Sample not found in lab database
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
Result code of malaria RDT
1
Tested
2
Not present
3
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
CMC start of calendar
Row of month of interview
0
No calendar
Length of calendar
0
No calendar
Number of calendar columns
0
No calendar
Ever-married sample
0
All woman sample
1
Ever married sample
Primary sampling unit
Sample strata for sampling errors
Stratification used in sample design
Region
1
Eastern Province
2
Northern Province
3
Southern Province
4
Western Area
Type of place of residence
1
Urban
2
Rural
NA - De facto place of residence
0
Capital, large city
1
Small city
2
Town
3
Countryside
Number of visits
Interviewer identification
NA - Keyer identification
Field supervisor
NA - Field editor
NA - Office editor
NA - Line number of husband
0
Husband not in household
Cluster altitude in meters
Household selected for hemoglobin
0
Not selected
1
Selected
NA - Selected for Domestic Violence module
0
Woman not selected
1
Woman selected and interviewed
2
Woman selected, but privacy not possible
3
Woman selected, but not interviewed
Language of questionnaire
1
English
2
Krio
3
Mende
4
Temne
5
Madingo
6
Loko
7
Sherbro
8
Limba
9
Kissi
10
Kono
11
Susu
12
Fullah
13
Krim
14
Yalunka
15
Koranko
16
Vai
96
Other
Language of interview
1
English
2
Krio
3
Mende
4
Temne
5
Madingo
6
Loko
7
Sherbro
8
Limba
9
Kissi
10
Kono
11
Susu
12
Fullah
13
Krim
14
Yalunka
15
Koranko
16
Vai
96
Other
Native language of respondent
1
English
2
Krio
3
Mende
4
Temne
5
Madingo
6
Loko
7
Sherbro
8
Limba
9
Kissi
10
Kono
11
Susu
12
Fullah
13
Krim
14
Yalunka
15
Koranko
16
Vai
96
Other
Translator used
0
No
1
Yes
Case Identification
Case Identification
Region
1
Eastern Province
2
Northern Province
3
Southern Province
4
Western Area
Type of place of residence
1
Urban
2
Rural
NA - Childhood place of residence
0
Capital, large city
1
City
2
Town
3
Countryside
4
Abroad
NA - Years lived in place of residence
95
Always
96
Visitor
97
Inconsistent
98
Don't know
NA - Type of place of previous residence
0
Capital, large city
1
City
2
Town
3
Countryside
4
Abroad
NA - Region of previous residence
1
Region 1
2
Region 2
3
Region 3
4
Region 4
96
Abroad
Highest educational level
0
No education
1
Primary
2
Secondary
3
Higher
Highest year of education
0
No years completed at level V106
Source of drinking water
10
PIPED WATER
11
Piped into dwelling
12
Piped to yard/plot
13
Piped to neighbor
14
Public tap/standpipe
20
TUBE WELL WATER
21
Tube well or borehole
30
DUG WELL (OPEN/PROTECTED)
31
Protected well
32
Unprotected well
40
SURFACE FROM SPRING
41
Protected spring
42
Unprotected spring
43
River/dam/lake/ponds/stream/canal/irrigation channel
51
Rainwater
61
Tanker truck
62
Cart with small tank
71
Bottled water
72
Water sachets
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
11
Earth/sand
12
Dung
21
Wood planks
22
Palm/bamboo
31
Parquet or polished wood
32
Vinyl or asphalt strips
33
Ceramic tiles
34
Cement
35
Carpet
96
Other
97
Not a dejure resident
Main wall material
11
No walls
12
Cane/palm/trunks
13
Dirt
21
Bamboo with mud
22
Stone with mud
23
Uncovered adobe
24
Plywood
25
Cardboard
26
Reused wood
31
Cement
32
Stone with lime/cement
33
Bricks
34
Cement blocks
35
Wattle
36
Wood planks/shingles
37
Zinc
96
Other
97
Not a dejure resident
Main roof material
11
No roof
12
Thatch/palm leaf
13
Sod
21
Rustic mat
22
Palm/bamboo
23
Wood planks
24
Cardboard
31
Zinc
32
Wood
33
Calamine/cement fiber
34
Ceramic tiles
35
Cement
36
Roofing shingles
96
Other
97
Not a dejure resident
Religion
1
Christian
2
Muslim
3
Traditional
4
None
96
Other
Ethnicity
1
Krio
2
Mande
3
Temne
4
Madingo
5
Loko
6
Sherbro
7
Limba
8
Kissi
9
Kono
10
Susu
11
Fullah
12
Krim
13
Yalunka
14
Koranko
15
Vai
96
Other
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
1
Eastern Province
2
Northern Province
3
Southern Province
4
Western Area
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
13
Niece by blood
14
Niece by marriage
98
Don't know
Sex of household head
1
Male
2
Female
Age of household head
97
97+
98
Don't know
Household has: telephone (land-line)
0
No
1
Yes
7
Not a dejure resident
All woman factor - total
All woman factor - urban/rural
All woman factor - regional
All woman factor - educational
All woman factor - wealth index
Literacy
0
Cannot read at all
1
Able to read only parts of sentence
2
Able to read whole sentence
3
No card with required language
4
Blind/visually impaired
NA - Ever participated in a literacy program outside of primary
0
No
1
Yes
NA - Frequency of reading newspaper or magazine
0
Not at all
1
Less than once a week
2
At least once a week
3
Almost every day
NA - Frequency of listening to radio
0
Not at all
1
Less than once a week
2
At least once a week
3
Almost every day
NA - Frequency of watching television
0
Not at all
1
Less than once a week
2
At least once a week
3
Almost every day
Toilet facilities shared with other households
0
No
1
Yes
7
Not a dejure resident
Type of cooking fuel
1
Electricity
2
LPG
3
Natural gas
4
Biogas
5
Kerosene
6
Coal, lignite
7
Charcoal
8
Wood
9
Straw/shrubs/grass
10
Agricultural crop
11
Animal dung
95
No food cooked in house
96
Other
97
Not a dejure resident
NA - Result of salt test for iodine
0
0 ppm (no iodine)
7
7 ppm
15
15 ppm
30
30 ppm
994
Salt not tested
995
No salt
997
Not a dejure resident
NA - Number of trips in last 12 months
0
None
90
90+
NA - Away for more than one month in last 12 months
0
No
1
Yes
NA - Owns a mobile telephone
0
No
1
Yes
NA - Use mobile telephone for financial transactions
0
No
1
Yes
NA - Has an account in a bank or other financial institution
0
No
1
Yes
NA - Use of internet
0
Never
1
Yes, last 12 months
2
Yes, before last 12 months
3
Yes, can't establish when
NA - Frequency of using internet last month
0
Not at all
1
Less than once a week
2
At least once a week
3
Almost every day
Wealth index combined
1
Poorest
2
Poorer
3
Middle
4
Richer
5
Richest
Wealth index factor score combined (5 decimals)
Wealth index for urban/rural
1
Poorest
2
Poorer
3
Middle
4
Richer
5
Richest
Wealth index factor score for urban/rural (5 decimals)
NA - Type of mosquito bed net(s) slept under last night
0
No net
1
Only treated nets
2
Both treated and untreated nets
3
Only untreated nets
Case Identification
Case Identification
Birth column number
Birth order number
Child is twin
0
Single birth
1
1st of multiple
2
2nd of multiple
3
3rd of multiple
4
4th of multiple
5
5th of multiple
Month of birth
Year of birth
Date of birth (CMC)
Sex of child
1
Male
2
Female
Child is alive
0
No
1
Yes
NA - Age at death
100
Died on day of birth
101
Days: 1
199
Days: number missing
201
Months: 1
299
Months: number missing
301
Years: 1
399
Years: number missing
997
Inconsistent
998
Don't know
NA - Age at death (months, imputed)
Current age of child
Child lives with whom
0
Respondent
1
Father
2
Other relative
3
Someone else
4
Lives elsewhere
Completeness of information
0
Month, year and day
1
Month and year - information complete
2
Month and age - year imputed
3
Year and age - month imputed
4
Year and age - year ignored
5
Year - age/month imputed
6
Age - year/month imputed
7
Month - age/year imputed
8
None - all imputed
Preceding birth interval (months)
Succeeding birth interval (months)
NA - Flag for age at death
0
No flag
1
> interview
2
< breastfeeding
3
< age supplemented
4
< first breastfed
5
< last vaccination
6
Outside range
7
Imputed, units given
8
Imputed, no units
Live birth between births
0
No
1
Yes
Child's line number in household
0
Not listed in household
Day of birth
Century Day Code of birth (CDC)
Current age of child in months
NA - Duration of pregnancy
Case Identification
Case Identification
Total children ever born
Sons at home
Daughters at home
Sons elsewhere
Daughters elsewhere
Sons who have died
Daughters who have died
Births in last five years
0
No births
Births in past year
0
No births
Births in month of interview
NA - Date of first birth (CMC)
NA - Age of respondent at 1st birth
Currently pregnant
0
No or unsure
1
Yes
Duration of current pregnancy
NA - Time since last menstrual period
100
Day of interview
101
Days: 1
199
Days: number missing
201
Weeks: 1
299
Weeks: number missing
301
Months: 1
399
Months: number missing
401
Years: 1
499
Years: number missing
994
In menopause/had hysterectomy
995
Before last birth
996
Never menstruated
997
Inconsistent
998
Don't know
Menstruated in last six weeks
0
No
1
Yes
NA - Knowledge of ovulatory cycle
1
During her period
2
After period ended
3
Middle of the cycle
4
Before period begins
5
At any time
6
Other
8
Don't know
Number of living children
Living children + current pregnancy
Living children + current pregnancy (grouped)
6
6+
NA - Marriage to first birth interval (months)
996
Negative interval
Last birth to interview (months)
NA - Completeness of current pregnancy information
7
Month - exact date
8
None - date placed
Entries in birth history
NA - Current pregnancy wanted
1
Then
2
Later
3
Not at all
NA - Time since last period (comp) (months)
994
In menopause
995
Before last birth
996
Never menstruated
997
Inconsistent
998
Don't know
NA - Flag for last period
0
No flag
1
N > interval since birth
2
N + amen. > interval
3
N, but period not returned
4
95, but no birth
5
95, but period returned
6
96, but period returned
7
N, last period during pregnancy
8
96, had children
9
N, period before last birth
NA - Ever had a terminated pregnancy
0
No
1
Yes
NA - Month pregnancy ended
97
Inconsistent
98
Don't know
NA - Year pregnancy ended
9997
Inconsistent
9998
Don't know
NA - CMC pregnancy ended
9997
Inconsistent
9998
Don't know
NA - Completeness of last termination information
1
Month and year
2
From calendar
5
Year
7
Month
8
None
NA - Months when pregnancy ended
97
Inconsistent
98
Don't know
NA - Other such pregnancies
0
No
1
Yes
Index last child prior to maternity-health (calendar)
0
No prior child
Birth between last and interview
0
No
1
Yes
Births in last three years
NA - Pregnancies terminated before calendar beginning
0
No
1
Yes
NA - Month of last termination prior to calendar
97
Inconsistent
98
Don't know
NA - Year of last termination prior to calendar
9997
Inconsistent
9998
Don't know
NA - CMC termination ended prior to calendar
9997
Inconsistent
9998
Don't know
NA - Completeness of last termination date prior to calendar
1
Month and year
2
From calendar
5
Year
7
Month
8
None
NA - Can women get pregnant after birth and before period
0
No
1
Yes
8
Don't know
Case Identification
Case Identification
Index to Birth History
NA - Number of tetanus injections before birth
0
Received no injection
7
7+
8
Don't know
NA - Number of tetanus injections before pregnancy
0
Received no injection
7
7+
8
Don't know
NA - Month of last tetanus injection before pregnancy
97
Inconsistent
98
Don't know month
NA - Year of last tetanus injection before pregnancy
9997
Inconsistent
9998
Don't know year
NA - Years ago received last tetanus injection before pregnancy
NA - Last tetanus injection before pregnancy (CMC)
9996
Can't be determined
Prenatal: doctor
0
No
1
Yes
Prenatal: nurse/midwife
0
No
1
Yes
Prenatal: MCH aide
0
No
1
Yes
Prenatal: community health officer
0
No
1
Yes
Prenatal: community health assistant
0
No
1
Yes
NA - Prenatal: CS health professional
0
No
1
Yes
Prenatal: traditional 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
Case Identification
Case Identification
Index to birth history
Had fever in last two weeks
0
No
1
Yes
8
Don't know
Fever/cough: government hospital
0
No
1
Yes
Fever/cough: CS public sector
0
No
1
Yes
Fever/cough: CS public sector
0
No
1
Yes
Fever/cough: CS public sector
0
No
1
Yes
Fever/cough: CS public sector
0
No
1
Yes
NA - Fever/cough: CS public sector
0
No
1
Yes
NA - Fever/cough: CS public sector
0
No
1
Yes
NA - Fever/cough: CS public sector
0
No
1
Yes
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: CS private medical
0
No
1
Yes
Fever/cough: CS private medical
0
No
1
Yes
Fever/cough: CS private medical
0
No
1
Yes
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: CS other sector
0
No
1
Yes
Fever/cough: CS other sector
0
No
1
Yes
Fever/cough: CS other sector
0
No
1
Yes
NA - Fever/cough: CS other sector
0
No
1
Yes
NA - Fever/cough: CS other sector
0
No
1
Yes
Fever/cough: other
0
No
1
Yes
Fever/cough: no treatment
0
No: received treatment
1
Yes: no treatment
Fever/cough: medical treatment
0
No
1
Yes
Place first sought treatment for fever
10
PUBLIC SECTOR
11
Government hospital
12
Government health center
13
Mobile clinic
14
Community health worker
15
Other public sector
16
CS public
20
PRIVATE SECTOR
21
Private hospital
22
Private clinic
23
Mission/faith based hospital
24
Mission/fatih based clinic
25
Pharmacy
26
Mobile clinic
27
Other private
30
OTHER
31
Shop
32
Traditional healer
33
Drug peddler
96
Other
Days after fever sought advice or treatment
0
Same day
98
Don't know
Blood taken from child's finger/heel for testing
0
No
1
Yes
8
Don't know
Case Identification
Case Identification
Time interview started (hhmm - 24 hour clock)
Time interview ended (hhmm - 24 hour clock)
Length of interview in minutes
95
95+
96
2+ visits
97
Inconsistent
Number of visits
Interviewer identification
NA - Keyer identification
NA - Presence of children < 10 for 'Wife beating justified' questions
0
No
1
Yes - listening
2
Yes - not listening
NA - Presence of husband for 'Wife beating justified' questions
0
No
1
Yes - listening
2
Yes - not listening
NA - Presence of other males for 'Wife beating justified' questions
0
No
1
Yes - listening
2
Yes - not listening
NA - Presence of other females for 'Wife beating justified' questions
0
No
1
Yes - listening
2
Yes - not listening
NA - Presence of children < 10 during sexual activity section
0
No
1
Yes
NA - Presence of male adults during sexual activity section
0
No
1
Yes
NA - Presence of female adults during sexual activity section
0
No
1
Yes
Case Identification
Case Identification
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
Traditional birth attendant
4
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
NA - Quinine injection/IV taken for fever
0
No
1
Yes
ARTESUNATE + AMODIAQUINE taken for fever
0
No
1
Yes
Artesunate taken for fever
0
No
1
Yes
NA - Artesunate injection/IV taken for fever
0
No
1
Yes
AL ACT taken for fever
0
No
1
Yes
NA - CS antimalarial taken for fever
0
No
1
Yes
Other antimalarial taken for fever
0
No
1
Yes
NA - Antibiotic pill/syrup taken for fever
0
No
1
Yes
NA - 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
Ampicillin taken for fever
0
No
1
Yes
Amoxilillin taken for fever
0
No
1
Yes
Septrin 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 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 combination with ARTESUNATE + AMODIAQUINE
7
7+ days
8
Don't know
NA - First source for combination with ARTESUNATE + AMODIAQUINE
0
Other source
1
At home
8
Don't know
Timing of start of ARTESUNATE + LUMEFANTRINE
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 ARTESUNATE + LUMEFANTRINE
7
7+ days
8
Don't know
NA - First source for ARTESUNATE + LUMEFANTRINE
0
Other source
1
At home
8
Don't know
Timing of start of ARETESUNATE
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 ARETESUNATE
7
7+ days
8
Don't know
NA - First source for ARETESUNATE
0
Other source
1
At home
8
Don't know
NA - 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
NA - Timing of start of artesunate
0
Same day as fever/cough
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
Injection, Crystaline panacillin taken for fever
0
No
1
Yes
Other antibiotic taken for fever
0
No
1
Yes
Novalgine taken for fever
0
No
1
Yes
Case Identification
Case Identification
District
11
Kailahun
12
Kenema
13
Kono
21
Bombali
22
Kambia
23
Koinadugu
24
Port Loko
25
Tonkolili
31
Bo
32
Bonthe
33
Moyamba
34
Pujehun
41
West Area Rural
42
West Area Urban
Highest educational level
0
No education
1
Primary
2
Junior Secondary
3
Senior Secondary
4
Vocational / Commercial / Nursing / Technical /Teaching
5
Higher
Highest grade/form/year at that level
0
Less than one year
Ever heard of malaria
0
No
1
Yes
Cause of malaria: mosquito bites
0
No
1
Yes
8
Don't know
Cause of malaria: eating immature sugarcane
0
No
1
Yes
8
Don't know
Cause of malaria: eating cold food
0
No
1
Yes
8
Don't know
Cause of malaria: eating dirty food
0
No
1
Yes
8
Don't know
Cause of malaria: drinking beer/palm wine
0
No
1
Yes
8
Don't know
Cause of malaria: drinking dirty water
0
No
1
Yes
8
Don't know
Cause of malaria: getting soaked with rain
0
No
1
Yes
8
Don't know
Cause of malaria: cold or changing weahter
0
No
1
Yes
8
Don't know
Cause of malaria: witchcraft
0
No
1
Yes
8
Don't know
Cause of malaria: injection / drugs
0
No
1
Yes
8
Don't know
Cause of malaria: eating oranges or mangos
0
No
1
Yes
8
Don't know
Cause of malaria: eating plenty oil
0
No
1
Yes
8
Don't know
Cause of malaria: sharing razors/blades
0
No
1
Yes
8
Don't know
Cause of malaria: bed bugs
0
No
1
Yes
8
Don't know
Cause of malaria: dirty surroundings
0
No
1
Yes
8
Don't know
Cause of malaria: other
0
No
1
Yes
8
Don't know
Cause of malaria: don't know
0
No
1
Yes - don't know
Symptoms of malaria: fever
0
No
1
Yes
8
Don't know
Symptoms of malaria: excessive sweating
0
No
1
Yes
8
Don't know
Symptoms of malaria: feeling cold
0
No
1
Yes
8
Don't know
Symptoms of malaria: headache
0
No
1
Yes
8
Don't know
Symptoms of malaria: nausea and vomiting
0
No
1
Yes
8
Don't know
Symptoms of malaria: diarrhea
0
No
1
Yes
8
Don't know
Symptoms of malaria: dizziness
0
No
1
Yes
8
Don't know
Symptoms of malaria: loss of appetite
0
No
1
Yes
8
Don't know
Symptoms of malaria: body ache or joint pain
0
No
1
Yes
8
Don't know
Symptoms of malaria: pale eyes
0
No
1
Yes
8
Don't know
Symptoms of malaria: body weakness
0
No
1
Yes
8
Don't know
Symptoms of malaria: refusing to eat or drink
0
No
1
Yes
8
Don't know
Symptoms of malaria: jaundice
0
No
1
Yes
8
Don't know
Symptoms of malaria: dark urine
0
No
1
Yes
8
Don't know
Symptoms of malaria: low blood ( anemia )
0
No
1
Yes
8
Don't know
Symptoms of malaria: other
0
No
1
Yes
8
Don't know
Symptoms of malaria: don't know
0
No
1
Yes - don't know
Symptoms of severe malaria: shivering/shaking/convulsions
0
No
1
Yes
8
Don't know
Symptoms of severe malaria: vomiting everything
0
No
1
Yes
8
Don't know
Symptoms of severe malaria: confusion
0
No
1
Yes
8
Don't know
Symptoms of severe malaria: low blood ( anemia )
0
No
1
Yes
8
Don't know
Symptoms of severe malaria: difficulty breathing
0
No
1
Yes
8
Don't know
Symptoms of severe malaria: dizziness
0
No
1
Yes
8
Don't know
Symptoms of severe malaria: jaundice
0
No
1
Yes
8
Don't know
Symptoms of severe malaria: other
0
No
1
Yes
8
Don't know
Symptoms of severe malaria: don't know
0
No
1
Yes - don't know
Protection against malaria: sleep under a treated net
0
No
1
Yes
8
Don't know
Protection against malaria: use mosquito repellent
0
No
1
Yes
8
Don't know
Protection against malaria: avoid mosquito bites
0
No
1
Yes
8
Don't know
Protection against malaria: take preventive medication
0
No
1
Yes
8
Don't know
Protection against malaria: indoor residual spray (IRS)
0
No
1
Yes
8
Don't know
Protection against malaria: use mosquito coils
0
No
1
Yes
8
Don't know
Protection against malaria: cut grass around house
0
No
1
Yes
8
Don't know
Protection against malaria: eliminate sagnant water
0
No
1
Yes
8
Don't know
Protection against malaria: keep surroundings clean
0
No
1
Yes
8
Don't know
Protection against malaria: burn leaves
0
No
1
Yes
8
Don't know
Protection against malaria: cut the grass
0
No
1
Yes
8
Don't know
Protection against malaria: don't drink dirty water
0
No
1
Yes
8
Don't know
Protection against malaria: don't eat bad food
0
No
1
Yes
8
Don't know
Protection against malaria: us mosquito screens on windows
0
No
1
Yes
8
Don't know
Protection against malaria: don't get soaked in rain
0
No
1
Yes
8
Don't know
Protection against malaria: store bought insect killer
0
No
1
Yes
8
Don't know
Protection against malaria: other
0
No
1
Yes
8
Don't know
Protection against malaria: don't know
0
No
1
Yes - don't know
Better to sleep treated or untreated net
1
Untreated
2
Treated
3
Don't know
People at risk of malaria: children
0
No
1
Yes
8
Don't know
People at risk of malaria: adults
0
No
1
Yes
8
Don't know
People at risk of malaria: pregnant women
0
No
1
Yes
8
Don't know
People at risk of malaria: old adults
0
No
1
Yes
8
Don't know
People at risk of malaria: anyone
0
No
1
Yes
8
Don't know
People at risk of malaria: other
0
No
1
Yes
8
Don't know
People at risk of malaria: don't know
0
No
1
Yes - don't know
Medicine for malaria: ACT (AS+AQ AND AL)
0
No
1
Yes
8
Don't know
Medicine for malaria: chloroquine
0
No
1
Yes
8
Don't know
Medicine for malaria: SP/Fansidar
0
No
1
Yes
8
Don't know
Medicine for malaria: quinine
0
No
1
Yes
8
Don't know
Medicine for malaria: aspirin, panadol, paracetamol
0
No
1
Yes
8
Don't know
Medicine for malaria: traditional medicine / herbs
0
No
1
Yes
8
Don't know
Medicine for malaria: other
0
No
1
Yes
8
Don't know
Medicine for malaria: don't know
0
No
1
Yes - don't know
Have a mosquito net
0
No
1
Yes
Slept under a net last night
0
No
1
Yes
Reasons not sleeping under a net last night: do not like smell of net
0
No
1
Yes
8
Don't know
Reasons not sleeping under a net last night: do not like shape
0
No
1
Yes
8
Don't know
Reasons not sleeping under a net last night: do not like size
0
No
1
Yes
8
Don't know
Reasons not sleeping under a net last night: prefer a different color
0
No
1
Yes
8
Don't know
Reasons not sleeping under a net last night: net is itchy / irritating
0
No
1
Yes
8
Don't know
Reasons not sleeping under a net last night: net is not large enough / feel clos
0
No
1
Yes
8
Don't know
Reasons not sleeping under a net last night: it is hot sleeping under net
0
No
1
Yes
8
Don't know
Reasons not sleeping under a net last night: other
0
No
1
Yes
8
Don't know
Reasons not sleeping under a net last night: don't know
0
No
1
Yes - don't know
Seen or heard message about malaria
0
No
1
Yes
Messages from government clinic/hospital
0
No
1
Yes
Messages from community health worker
0
No
1
Yes
Messages from community health club
0
No
1
Yes
Messages from school health club
0
No
1
Yes
Messages in your home
0
No
1
Yes
Messages from drama groups
0
No
1
Yes
Messages from peer educators
0
No
1
Yes
Messages from community meeting
0
No
1
Yes
Messages from town crier
0
No
1
Yes
Messages from posters or billboards
0
No
1
Yes
Messages on TV
0
No
1
Yes
Messages on the radio
0
No
1
Yes
Messages in the newspaper
0
No
1
Yes
Messages from faith / religious leader
0
No
1
Yes
Messages from friends or family
0
No
1
Yes
Messages from anywhere else
0
No
1
Yes