AGO_2011_MIS_v01_M
DDI_AGO_2011_MIS_v01_M_WB
Development Data Group
2014-01-23
Nesstar Publisher
Version 01 (January 2014)
Malaria Indicator Survey 2011
MIS 2011
AGO_2011_MIS_v01_M
Consultoria de Servicos e Pesquisas–COSEP, Consultoria, Lda
Consultoria de Gestao e Administracao em Saúde–Consaúde, Lda
Ministry of Health
National Malaria Control Program
United States Agency for International Development
ICF International
Nesstar Publisher
United States Agency for International Development
President’s Malaria Initiative
General Inquiries
Data and Data Related Resources
Demographic and Health Survey [hh/dhs]
The 2011 Angola Malaria Indicator Survey (2011 AMIS) is the second survey of this type in the country and is conducted as part of the third phase of the MEASURE DHS project.
Angola
National
The survey covered all de jure household members (usual residents), all women aged between 15-49 years, all children under age 5 living in the household.
Sample survey data [ssd]
Consultoria de Servicos e Pesquisas–COSEP, Consultoria, Lda
Consultoria de Gestao e Administracao em Saúde–Consaúde, Lda
Face-to-face [f2f]
There is one supervisor for each of the 12 data collection teams in the field.
Data entry started two weeks after the beginning of fieldwork. Twelve data entry operators were used, six in the morning and six in the afternoon. They were supervised by the data processing manager, the questionnaire organizer, and the questionnaire editor. Control tables with data on interviewer and team performance were assessed periodically, especially during the first two weeks of fieldwork. The tables helped identify mistakes some teams made at the beginning of fieldwork; these mistakes resulted in extra supervisory field visits. Once the data entry was finalized, a consultant verified completeness of the questionnaires and consistency betwen data entry and the initial results.
MEASURE DHS
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
RECH0.NSDstat
8806
40
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
RECH1.NSDstat
40600
41
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
RECH2.NSDstat
8030
75
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
RECH3.NSDstat
8806
17
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
RECH4.NSDstat
40600
4
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
RECH6.NSDstat
3586
21
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
RECHM2.NSDstat
3586
8
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
RECHM3.NSDstat
3586
5
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
RECHMH.NSDstat
40600
10
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
RECHML.NSDstat
4130
17
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
RECHMS.NSDstat
4130
10
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC01.NSDstat
8746
42
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC11.NSDstat
8589
56
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC21.NSDstat
22925
20
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC22.NSDstat
8589
26
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC41.NSDstat
5331
26
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC42.NSDstat
8589
9
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC43.NSDstat
8242
32
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC44.NSDstat
8242
11
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC81.NSDstat
8589
8
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
RECML.NSDstat
8242
41
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC91.NSDstat
8746
63
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC94.NSDstat
8242
6
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC95.NSDstat
8242
7
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
Case Identification
Country code and phase
Cluster number
Household number
Respondent's line number
Ultimate area unit
Sample weight
Month of interview
Year of interview
Date of interview (CMC)
Number of household members
Number of eligible women in HH
NA - Number of eligible men in HH
Number of de jure members
Number of de facto members
Number of children 5 and under
Result of household interview
1
Completed
2
HH present, no resp
3
HH absent
4
Postponed
5
Refused
6
Dwelling vacant
7
Dwelling destroyed
8
Dwelling not found
9
Other
Day of interview
Number of visits
Interviewer identification
Keyer identification
Ever-married sample
0
All woman sample
1
Ever married sample
Primary sampling unit
Sample stratum number
1
Hiperendemica urban
2
Hiperendemica rural
3
Mesoendemica Estavel urban
4
Mesoendemica Estavel rural
5
Mesoendemica Instavel urban
6
Mesoendemica Instavel rural
7
Luanda urban
8
Luanda rural
Sample stratum
1
Hiperendemica urban
2
Hiperendemica rural
3
Mesoendemica Estavel urban
4
Mesoendemica Estavel rural
5
Mesoendemica Instavel urban
6
Mesoendemica Instavel rural
7
Luanda urban
8
Luanda rural
Region
1
Hiperendemica
2
Mesoendemica Estavel
3
Mesoendemica Instavel
4
Luanda
Type of place of residence
1
Urban
2
Rural
NA - Place of residence
0
Capital, large city
1
Small city
2
Town
3
Countryside
NA - Selection for male/husb. int.
0
Not selected
1
Men's survey
2
Husband's survey
NA - Sample weight for male subsamp
Field supervisor
Field editor
Office editor
NA - Ultimate area selection prob.
Number of eligible children for height & weight
Cluster altitude in meters
NA - Total adults measured
Selection for hemoglobin
0
Not selected
1
Selected
NA - Selection for women's status module
0
Household not selected
1
Household selected
NA - Selection for domestic violence module
0
Household not selected
1
Household selected
Case Identification
Line number
Relationship to head
1
Head
2
Wife or husband
3
Son/daughter
4
Son/daughter-in-law
5
Grandchild
6
Parent
7
Parent-in-law
8
Brother/sister
9
Co-spouse
10
Other relative
11
Adopted/foster child
12
Not related
13
Niece/nephew by blood
14
Niece/nephew by marriage
98
DK
Usual resident
0
No
1
Yes
Slept last night
0
No
1
Yes
Sex of household member
1
Male
2
Female
Age of household members
96
96+
98
DK
NA - Highest educational level
0
No education, preschool
1
Primary
2
Secondary
3
Higher
8
DK
NA - Highest year of education
98
DK
NA - Education in single years
97
Inconsistent
98
DK
NA - Educational attainment
0
No education
1
Incomplete primary
2
Complete primary
3
Incomplete secondary
4
Complete secondary
5
Higher
8
DK
NA - Member still in school
0
No
1
Yes
NA - Mother alive
0
No
1
Yes
8
DK
NA - Mother's line number
0
Mother not in HH
NA - Father alive
0
No
1
Yes
8
DK
NA - Father's line number
0
Father not in HH
NA - Current marital status
0
Never married
1
Married
2
Living together
3
Widowed
4
Divorced
5
Not living together
NA - Currently, formerly, never m.
0
Never married
1
Currently married
2
Formerly/ever marr.
Eligibility for female interview
0
Not eligible
1
Eligible
NA - Eligibility for male interview
0
Not eligible
1
Eligible
Children eligibility for height/weight and hemoglobin
0
Not eligible
1
Eligible
NA - Member attended school during current school year
0
No
1
Currently attending
2
Attended at some time
NA - Educational level during current school year
0
No education, preschool
1
Primary
2
Secondary
3
Higher
8
DK
NA - Grade of education during current school year
98
DK
NA - Education in single years - current school year
97
Inconsistent
98
DK
NA - Member attended school during previous school year
0
No
1
Yes
NA - Educational level during previous school year
0
No education, preschool
1
Primary
2
Secondary
3
Higher
8
DK
NA - Grade of education during previous school year
98
DK
NA - Education in single years - previous school year
97
Inconsistent
98
DK
NA - School attendance status
0
Never attended
1
Entered school
2
Advanced
3
Repeating
4
Dropout
5
Left school 2+ years ago
8
DK
NA - Member has been very sick for 3+ months last year
0
No
1
Yes
8
DK
NA - Mother has been very sick for 3+ months last year
0
No
1
Yes
8
DK
NA - Father has been very sick for 3+ months last year
0
No
1
Yes
8
DK
NA - Mother/father dead or been very sick for 3+ months
0
No
1
Yes
NA - Both parents alive
0
No
1
Yes
NA - Has brothers/sisters under 18 of the same father and mother
0
No
1
Yes
8
DK
NA - Brothers/sisters under 18 that don't live in household
0
No
1
Yes
NA - Member has a blanket
0
No
1
Yes
8
DK
NA - Member has a pair of shoes
0
No
1
Yes
8
DK
NA - Member has 2+ sets of clothes
0
No
1
Yes
8
DK
NA - Member has a birth certificate
0
Neither certificate or registered
1
Has certificate
2
Registered
8
DK
Case Identification
Source of drinking water
10
PIPED WATER
11
Piped into dwelling
12
Piped to yard/plot
13
Public tap/standpipe
20
TUBE WELL WATER
21
Tube well or borehole
30
DUG WELL (OPEN/PROTECTED)
31
Protected well
32
Unprotected well
40
SURFACE WATER
41
Protected spring
42
Unprotected spring
43
River/dam/lake/ponds/stream/canal/irirgation channel
51
Rainwater
61
Tanker truck
62
Cart with small tank
71
Bottled water
96
Other
NA - Source of non-drinking water
10
PIPED WATER
11
Piped into dwelling
12
Piped to yard/plot
13
Public tap/standpipe
20
TUBE WELL WATER
21
Tube well or borehole
30
DUG WELL (OPEN/PROTECTED)
31
Protected well
32
Unprotected well
40
SURFACE WATER
41
Protected spring
42
Unprotected spring
43
River/dam/lake/ponds/stream/canal/irirgation channel
51
Rainwater
61
Tanker truck
62
Cart with small tank
71
Bottled water
96
Other
NA - Time to get to water source
996
On premises
Type of toilet facility
10
FLUSH TOILET
11
Piped sewage system
12
Septic tank
13
Slit latrine
14
Other place
15
Water flow do not know where
20
PIT TOILET LATRINE
21
Ventilated improved (VIP)
22
Cemented with sink
23
Without cement sink
30
NO FACILITY
31
No facility/bush/field
41
Composting toilet
42
Bucket toilet
43
Hanging toilet/latrine
96
OTHER
Has electricity
0
No
1
Yes
Has radio
0
No
1
Yes
Has television
0
No
1
Yes
Has refrigerator
0
No
1
Yes
Has bicycle
0
No
1
Yes
Has motorcycle/scooter
0
No
1
Yes
Has car/truck
0
No
1
Yes
Main floor material
10
NATURAL
11
Clay / Sand
12
Dung
20
RUDIMENTARY
21
Tablets / Wood Planks
22
Straw / Palm / Bamboo
30
FINISHED
31
Parquet / Wood Polished
32
Linoleum / Vinyl
33
Ceramic / Mosaic / Tiles
34
Cement
35
Carpet
96
Other
Main wall material
10
NATURAL
20
RUDIMENTARY
21
Straw /mats
22
Cardboard/plastic
23
Sticks and mud
24
Blocks of clay
25
Canes/palms/trunks
26
Used wood
30
FINISHED
31
Concrete or stone blocks
32
Bricks
33
Wooden plank
96
Other
Main roof material
10
NATURAL
20
RUDIMENTARY
21
Palm / Bamboo / Mat
22
Wood planks
23
Tarpaulin /plastic
30
FINISHED
31
Zinc, metal
32
Asbestos shingles
33
Ceramic tiles
34
Concrete cement
96
Other
Rooms used for sleeping
Relationship structure
0
No adults
1
One adult
2
Two adults, opp. sex
3
Two adults, same sex
4
Three+ related adult
5
Unrelated adults
Line number of head of househ.
Sex of head of household
1
Male
2
Female
Age of head of household
96
96+
98
DK
NA - Has a landline telephone
0
No
1
Yes
NA - Share toilet with other households
0
No
1
Yes
Type of cooking fuel
1
Electricity
2
LPG, natural gas
4
Biogas
5
Kerosene
6
Coal, lignite
7
Charcoal
8
Firewood
9
Straw / shrubs / grass
10
Agricultural crop
11
Animal dung
95
No food cooked in HH
96
Other
Have bednet for sleeping
0
No
1
Yes
Children under 5 slept under bednet last night
0
No
1
All children
2
Some children
3
No bednet in HH
NA - Test salt for Iodine
0
0 PPM (No Iodine)
7
Below 15 PPM
15
15 PPM and above
30
30 PPM
994
Salt not tested
995
No salt in household
NA - Location of source for water
1
In own dwelling
2
In own yard/plot
3
Elsewhere
NA - Person fetching water
1
Adult woman
2
Adult man
3
Female child under 15 years old
4
Male child under 15 years old
6
Other
NA - Anything done to water to make safe to drink
0
No
1
Yes
8
Don't know
NA - Water usually treated by: boil
0
No
1
Yes
8
Don't know
NA - Water usually treated by: add bleach/chlorine
0
No
1
Yes
8
Don't know
NA - Water usually treated by: strain through a cloth
0
No
1
Yes
8
Don't know
NA - Water usually treated by: use water filter
0
No
1
Yes
8
Don't know
NA - Water usually treated by: solar disinfection
0
No
1
Yes
8
Don't know
NA - Water usually treated by: let it stand and settle
0
No
1
Yes
8
Don't know
NA - Water usually treated by: CS
0
No
1
Yes
8
Don't know
NA - Water usually treated by: CS
0
No
1
Yes
8
Don't know
NA - Water usually treated by: CS
0
No
1
Yes
8
Don't know
NA - Water usually treated by: CS
0
No
1
Yes
8
Don't know
NA - Water usually treated by: CS
0
No
1
Yes
8
Don't know
NA - Water usually treated by: other
0
No
1
Yes
8
Don't know
NA - Water usually treated by: don't know
0
No
1
Yes
8
Don't know
NA - Number of households sharing toilet
95
10 or more households
98
Don't know
NA - Food cooked on stove or open fire
1
Open fire
2
Open stove
3
Closed stove with chimney
6
Other
NA - Household has a chimney, hood or neither
0
Neither chimney or hood
1
Chimney
2
Hood
NA - Food cooked in the house / in separate building / outdoors
1
In the house
2
In a separate building
3
Outdoors
6
Other
NA - Household has separate room used as kitchen
0
No
1
Yes
Has a mobile telephone
0
No
1
Yes
Has a watch
0
No
1
Yes
NA - Has an animal-drawn cart
0
No
1
Yes
Has a boat with a motor
0
No
1
Yes
NA - Own land usable for agriculture
0
No
1
Yes
NA - Hectares for agricultural land
95
More than 95
98
Unknown
NA - Livestock, herds or farm animals
0
No
1
Yes
NA - Cattle own
0
None
95
More than 95
98
Unknown
NA - Cows, bulls own
0
None
95
More than 95
98
Unknown
NA - Horses, donkeys, mules own
0
None
95
More than 95
98
Unknown
NA - Goats own
0
None
95
More than 95
98
Unknown
NA - Sheep own
0
None
95
More than 95
98
Unknown
NA - Chickens own
0
None
95
More than 95
98
Unknown
NA - CS own
0
None
95
More than 95
98
Unknown
NA - CS own
0
None
95
More than 95
98
Unknown
NA - CS own
0
None
95
More than 95
98
Unknown
NA - CS own
0
None
95
More than 95
98
Unknown
NA - CS own
0
None
95
More than 95
98
Unknown
NA - Owns a bank account
0
No
1
Yes
NA - Number of sick people 18-59
NA - Member of the HH died last 12 months
0
No
1
Yes
8
DK
9
Missing
NA - Number of members who died last 12 months
8
DK
NA - Number of orphans and vulnerable children
Wealth index
1
Poorest
2
Poorer
3
Middle
4
Richer
5
Richest
Wealth index factor score (5 decimals)
Number of mosquito nets
98
Don't know
Number of mosquito nets with specific information
Number of children under bednet previous night
Case Identification
Province
1
Cabinda
2
Zaire
3
Uige
4
Luanda
5
Kwanza Norte
6
Kwanza Sul
7
Malange
8
Lunda Norte
9
Benguela
10
Huambo
11
Bie
12
Moxico
13
Kuando Kubango
14
Namibe
15
Huile
16
Cunene
17
Lunda Sul
18
Bengo
Municipality
101
Cabinda
107
Belize
201
Mbanza Congo
209
Nóqui
301
Uíge
309
Negage
311
Bungo
313
Maquela do Zombo
315
Damba
323
Quimbele
331
Buengas (ex Nova Esperança)
401
Ingombota
403
Maianga
405
Rangel
407
Sambizanga
409
Cazenga
411
Kilamba Kiáxi
413
Samba
415
Cacuaco
417
Viana
503
Lucala
507
Kambambe
509
Ambaca
517
Samba Cajú
601
Sumbe (ex. Ngunza)
603
Amboim (ex. Gabela)
607
Porto Amboim
615
Seles (ex. Uku Seles)
621
Cela ( ex Waku-Kungo)
701
Malanje
703
Cacuso
705
Calandula
711
Kahombo
715
Luquembo
723
Mucari (Caculama)
803
Cambulo
805
Chitato
811
Lubalo
815
Xá-Muteba
901
Benguela
903
Baía Farta
905
Lobito
907
Cubal
911
Balombo
1001
Huambo
1005
Katchiungo
1009
Caála
1017
Mungo
1103
Cunhinga (Vouga)
1107
Andulo
1111
Camacupa
1113
Cuemba
1115
Chitembo
1203
Kamanongue
1211
Bundas-Lumbala-Nguimbo
1215
Alto Zambeze
1217
Luau
1301
Menongue
1307
Rivungo
1401
Namibe
1403
Tômbwa (ex. Porto Alexandre)
1409
Camucuio
1501
Lubango
1505
Chibia
1509
Caluquembe
1515
Quipungo
1517
Matala
1519
Chicomba
1525
Gambos ( ex-Chiange)
1601
Kwanhama
1603
Ombadja (ex. Cuamato)
1609
Namacunde
1611
Kahama
1703
Muconda
1705
Dala
1801
Dande (Caxito)
1803
Icolo Bengo
1809
Nambuangongo
Household has Generator
0
No
1
Yes
Household has Sawing Machine
0
No
1
Yes
Someone sprayed interior walls
0
No
1
Yes
8
DK
Months ago was sprayed
49
49 or more months
Who sprayed the house - Health worker /State
0
No
1
Yes
Who sprayed the house - NGO
0
No
1
Yes
Who sprayed the house - Private company
0
No
1
Yes
Who sprayed the house - Other
0
No
1
Yes
Who sprayed the house - DK
0
No
1
Yes
Reason - No mosquitoes
0
No
1
Yes
Reason - No available mosquito nets
0
No
1
Yes
Reason - Does not like to use mosquito nets
0
No
1
Yes
Reason - Nets are too expensive
0
No
1
Yes
Reason - Other
0
No
1
Yes
Case Identification
Index to household schedule
Relationship to Head of Household
1
Head of HH
2
Wife or husband
3
Son or daughter
4
Adoptive child
5
Son/Daughter in law
6
Grandchild
7
Parent
8
Father or Mother in-law
9
Brother or sister
10
Blood Niece/Nephew
11
Niece/Nephew by marriage
12
Other relatives
13
Foster child
14
Not related
98
Don't Know
Currently pregnant
0
No/DK
1
Yes
Case Identification
Index to household schedule
Age in months
Day of birth of child
Sex
1
Male
2
Female
Month of birth of child
97
Inconsistent
98
DK
Year of birth of child
9997
Inconsistent
9998
DK
Date of birth (cmc)
Completeness of information
1
Month and year
2
Month and age
3
Year and age
4
Year
6
Age
7
Month
8
None
Line no. of parent/caretaker
0
Not in household
Read consent statement
1
Granted
2
Refused
Hemoglobin level (g/dl - 1 decimal)
Result of measuring (Hemoglobin)
0
Measured
3
Not present
4
Refused
6
Other
Hemoglobin level adjusted by altitude (g/dl - 1 decimal)
Anemia level
1
Severe
2
Moderate
3
Mild
4
Not anemic
Mother's line number from woman's questionnaire
993
Mother not de facto
994
Incomplete woman's interview
995
Not in household
Mother's highest educational level
0
No education
1
Primary
2
Secondary
3
Higher
Mother's highest year of education
Preceding birth interval
Birth order number
Highest educational level (CS for preliminary & final report)
0
No education
1
Primary
2
Secondary & Higher
Case Identification
Index to household schedule
Line no. of parent/caretaker
0
Not in household
Read consent statement
1
Granted
2
Refused
Final result of malaria from blood smear test
0
Negative
1
Positive
Result of malaria measurement
0
Measured
3
Not present
4
Refused
6
Other
Bar code for blood smear sample
Result of malaria paracheck test (rapid test)
0
Negative
1
Positive
Case Identification
Index to household schedule
Result of Rapid test of Malaria
1
Positive
2
Negative
6
Other
Information about malaria treatment
1
Accepted medicine
2
Refused
3
Already received TCA
4
Not elegible
5
Other
Final lab result of malaria (smear test)
1
Positive
2
Negative
6
Other
Case Identification
Index to household schedule
Type of bednet(s) person slept under last night
0
No bednet
1
Only treated bednets (ITN)
2
Both treated (ITN) and untreated bednets
3
Only untreated bednets
1st net number for net person slept under last night
0
Did not sleep under net
2nd net number for net person slept under last night
NA - 3rd net number for net person slept under last night
Corrected age from individual questionnaire
97
97+
98
DK
Flag for QH07 age from individual file
0
No data from individual questionnaire
1
Month and year
2
Month and age -y imp
3
Year and age - m imp
4
Y & age - y ignored
5
Year - a, m imp
6
Age - y, m imp
7
Month - a, y imp
8
None - all imp
Pregnancy from individual questionnaire
0
Not pregnant, don't know
1
Pregnant
Person sleep under an ever treated bednet
0
No
1
Yes
Case Identification
Net number
Net observed
0
Not seen
1
Yes, seen
Months ago obtained mosquito net
96
More than 3 years ago
98
Don't know
Was net treated with insecticide when bought
0
No
1
Yes
8
Don't know
Mosquito net treated with insecticide
0
Not pretreated
1
Pretreated, permanent tx
2
Pretreated, requiring future tx
3
Not pretreated, came with kit and treated at home
4
Pretreated, treatment type not known
6
Other
8
Don't know
Brand of bednet
11
Joia
12
Olyset
13
Permanet
14
Salvo
15
Seguro
16
Other permanent brand
46
Other treated brand
96
Other brand, don't know the type
98
Don't know
Bednet treated since receiving
0
No
1
Yes
2
Permanent net
8
Not sure
Months ago re-treated
95
25+ months ago
96
More than 3 years ago
98
Don't know
ITN net
0
No, don't know
1
Yes
Number of persons who slept under this net
5
5+
Did someone sleep under bednet last night
0
No
1
Yes
8
DK
Person who slept in mosquito net
0
No one
Person who slept in mosquito net
Person who slept in mosquito net
Person who slept in mosquito net
Person who slept in mosquito net
Case Identification
Net number
Shows nets
1
Observed, with holes
2
Observed, no holes
3
Not observed
Bought or offered
1
Bought
2
Offered
8
Don't Know
Amount Paid for mosquito nets
9998
Don't know
Person who slept in mosquito net
0
No one
Person who slept in mosquito net
Person who slept in mosquito net
Person who slept in mosquito net
Person who slept in mosquito net
Case Identification
Case Identification
Country code and phase
Cluster number
Household number
Respondent's line number
Ultimate area unit
Sample weight
Month of interview
Year of interview
Date of interview (CMC)
Respondent's month of birth
Respondent's year of birth
Date of birth (CMC)
Current age - respondent
Age 5-year groups
1
15-19
2
20-24
3
25-29
4
30-34
5
35-39
6
40-44
7
45-49
Completeness of information
1
Month and year
2
Month and age -y imp
3
Year and age - m imp
4
Y & age - y ignored
5
Year - a, m imp
6
Age - y, m imp
7
Month - a, y imp
8
None - all imp
Result of individual interview
1
Completed
2
Not at home
3
Postponed
4
Refused
5
Partly completed
6
Incapacitated
7
Other
Day of interview
NA - CMC start of calendar
Row of month of interview
0
No calendar
Length of calendar
0
No calendar
Number of calendar columns
0
No calendar
Ever-married sample
0
All woman sample
1
Ever married sample
Primary sampling unit
Sample stratum number
1
Hiperendemica urban
2
Hiperendemica rural
3
Mesoendemica Estavel urban
4
Mesoendemica Estavel rural
5
Mesoendemica Instavel urban
6
Mesoendemica Instavel rural
7
Luanda urban
8
Luanda rural
Sample stratum
1
Hiperendemica urban
2
Hiperendemica rural
3
Mesoendemica Estavel urban
4
Mesoendemica Estavel rural
5
Mesoendemica Instavel urban
6
Mesoendemica Instavel rural
7
Luanda urban
8
Luanda rural
Region
1
Hiperendemica
2
Mesoendemica Estavel
3
Mesoendemica Instavel
4
Luanda
Type of place of residence
1
Urban
2
Rural
NA - De facto place of residence
0
Capital, large city
1
Small city
2
Town
3
Countryside
Number of visits
Interviewer identification
Keyer identification
Field supervisor
Field editor
Office editor
NA - Ultimate area selection prob.
NA - Line number of husband
0
Husband not in HH
Cluster altitude in meters
Household selection for hemoglobin
0
Not selected
1
Selected
NA - Selection for women's status module
0
Woman not selected
1
Woman selected
NA - Selection for domestic violence module
0
Woman not selected
1
Woman selected and interviewed
2
Woman selected, but privacy not possible
3
Woman selected, but not interviewed
Case Identification
Case Identification
Region
1
Hiperendemica
2
Mesoendemica Estavel
3
Mesoendemica Instavel
4
Luanda
Type of place of residence
1
Urban
2
Rural
NA - Childhood place of residence
0
Capital, large city
1
City
2
Town
3
Countryside
4
Abroad
NA - Years lived in place of res.
95
Always
96
Visitor
97
Inconsistent
98
Don't know
NA - Type of place of previous res.
0
Capital, large city
1
City
2
Town
3
Countryside
4
Abroad
Highest educational level
0
No education
1
Primary
2
Secondary
3
Higher
Highest year of education
Source of drinking water
10
PIPED WATER
11
Piped into dwelling
12
Piped to yard/plot
13
Public tap/standpipe
20
TUBE WELL WATER
21
Tube well or borehole
30
DUG WELL (OPEN/PROTECTED)
31
Protected well
32
Unprotected well
40
SURFACE WATER
41
Protected spring
42
Unprotected spring
43
River/dam/lake/ponds/stream/canal/irirgation channel
51
Rainwater
61
Tanker truck
62
Cart with small tank
71
Bottled water
96
Other
97
Not dejure resident
NA - Time to get to water source
996
On premises
997
Not dejure resident
Type of toilet facility
10
FLUSH TOILET
11
Piped sewage system
12
Septic tank
13
Slit latrine
14
Other place
15
Water flow do not know where
20
PIT TOILET LATRINE
21
Ventilated improved (VIP)
22
Cemented with sink
23
Without cement sink
30
NO FACILITY
31
No facility/bush/field
41
Composting toilet
42
Bucket toilet
43
Hanging toilet/latrine
96
Other
97
Not dejure resident
Has electricity
0
No
1
Yes
7
Not dejure resident
Has radio
0
No
1
Yes
7
Not dejure resident
Has television
0
No
1
Yes
7
Not dejure resident
Has refrigerator
0
No
1
Yes
7
Not dejure resident
Has bicycle
0
No
1
Yes
7
Not dejure resident
Has motorcycle/scooter
0
No
1
Yes
7
Not dejure resident
Has car/truck
0
No
1
Yes
7
Not dejure resident
Main floor material
10
NATURAL
11
Clay / Sand
12
Dung
20
RUDIMENTARY
21
Tablets / Wood Planks
22
Straw / Palm / Bamboo
30
FINISHED
31
Parquet / Wood Polished
32
Linoleum / Vinyl
33
Ceramic / Mosaic / Tiles
34
Cement
35
Carpet
96
Other
97
Not dejure resident
Main wall material
10
NATURAL
20
RUDIMENTARY
21
Straw /mats
22
Cardboard/plastic
23
Sticks and mud
24
Blocks of clay
25
Canes/palms/trunks
26
Used wood
30
FINISHED
31
Concrete or stone blocks
32
Bricks
33
Wooden plank
96
Other
97
Not dejure resident
Main roof material
10
NATURAL
20
RUDIMENTARY
21
Palm / Bamboo / Mat
22
Wood planks
23
Tarpaulin /plastic
30
FINISHED
31
Zinc, metal
32
Asbestos shingles
33
Ceramic tiles
34
Concrete cement
96
Other
97
Not dejure resident
Religion
1
Catholic
2
Christian / Protestant
3
Islam
4
Traditional Religion
5
No religion
96
Other
NA - Ethnicity
Education in single years
97
Inconsistent
NA - De facto place of residence
0
Capital, large city
1
Small city
2
Town
3
Countryside
Usual resident or visitor
1
Usual resident
2
Visitor
Number of household members
Number of children 5 and under
Number of eligible women in HH
De jure region of residence
0
Abroad
1
Hiperendemica
2
Mesoendemica Estavel
3
Mesoendemica Instavel
4
Luanda
97
Not dejure resident
De jure type of place of res.
0
Abroad
1
Urban
2
Rural
7
Not dejure resident
NA - De jure place of residence
0
Capital, large city
1
City
2
Town
3
Countryside
4
Abroad
7
Not dejure resident
Educational attainment
0
No education
1
Incomplete primary
2
Complete primary
3
Incomplete secondary
4
Complete secondary
5
Higher
Relationship to household head
1
Head
2
Wife
3
Daughter
4
Daughter-in-law
5
Grand-daughter
6
Mother
7
Mother-in-law
8
Sister
9
Co-spouse
10
Other relative
11
Adopted/foster child
12
Not related
13
Niece by blood
14
Niece by marriage
98
DK
Sex of household head
1
Male
2
Female
Age of household head
96
96+
98
DK
NA - Has a landline telephone
0
No
1
Yes
7
Not dejure resident
All woman factor - total
All woman factor - urban/rural
All woman factor - regional
All woman factor - educational
All woman factor - wealth index
Literacy
0
Cannot read at all
1
Able to read only parts of sentence
2
Able to read whole sentence
3
No card with required language
4
Blind/visually impaired
NA - Ever participated in a literacy program outside of primary
0
No
1
Yes
NA - Frequency of reading newspaper or magazine
0
Not at all
1
Less than once a week
2
At least once a week
3
Almost every day
NA - Frequency of listening to radio
0
Not at all
1
Less than once a week
2
At least once a week
3
Almost every day
NA - Frequency of watching television
0
Not at all
1
Less than once a week
2
At least once a week
3
Almost every day
NA - Toilet facilities shared
0
No
1
Yes
7
Not dejure resident
Type of cooking fuel
1
Electricity
2
LPG
3
Natural gas
4
Biogas
5
Kerosene
6
Coal, lignite
7
Charcoal
8
Firewood
9
Straw / shrubs / grass
10
Agricultural crop
11
Animal dung
95
No food cooked in HH
96
Other
97
Not dejure resident
NA - Results of salt iodine test
0
0 ppm (no iodine)
7
7 ppm
15
15 ppm
30
30 ppm
994
Salt not tested
995
No salt
997
Not dejure resident
NA - Number of trips in last 12 months
0
None
NA - Away for more than one month in last 12 months
0
No
1
Yes
Wealth index
1
Poorest
2
Poorer
3
Middle
4
Richer
5
Richest
Wealth index factor score (5 decimals)
Type of bednet(s) slept under last night
0
No bednet
1
Only treated bednets
2
Both treated and untreated bednets
3
Only untreated bednets
Case Identification
Case Identification
Birth column number
Birth order number
Child is twin
0
Single birth
1
1st of multiple
2
2nd of multiple
3
3rd of multiple
4
4th of multiple
5
5th of multiple
Month of birth
Year of birth
Date of birth (CMC)
Sex of child
1
Male
2
Female
Child is alive
0
No
1
Yes
Age at death
997
Inconsistent
998
Don't know
Age at death (months-imputed)
Current age of child
Child lives with whom
0
Respondent
1
Father
2
Other relative
3
Someone else
4
Lives elsewhere
Completeness of information
1
Month and year
2
Month and age -y imp
3
Year and age - m imp
4
Y & age - y ignored
5
Year - a, m imp
6
Age - y, m imp
7
Month - a, y imp
8
None - all imp
Preceding birth interval
Succeeding birth interval
Flag for age at death
0
No flag
1
> interview
2
< breastfeeding
3
< age supplemented
4
< first breastfed
5
< last vaccination
6
Outside range
7
Imputed, units given
8
Imputed, no units
Live birth between births
0
No
1
Yes
Child's line number in household
0
Not listed in household
Case Identification
Case Identification
Total children ever born
Sons at home
Daughters at home
Sons elsewhere
Daughters elsewhere
Sons who have died
Daughters who have died
Births in last five years
Births in past year
Births in month of interview
Date of first birth (CMC)
Age of respondent at 1st birth
Currently pregnant
0
No or unsure
1
Yes
Duration of current pregnancy
Number of living children
Living children + current preg
Living children + curr preg 6+
6
6+
NA - Marriage to first birth int.
996
Negative interval
Last birth to interview
NA - Completeness of curr preg. inf
7
Month - exact date
8
None - date placed
Entries in birth history
NA - Index last child prior to cal.
0
No prior child
Birth between last & interview
0
No
1
Yes
Births in last three years
Case Identification
Case Identification
Index to birth history
Prenatal: doctor
0
No
1
Yes
Prenatal: nurse/midwife
0
No
1
Yes
Prenatal: auxiliary midwife
0
No
1
Yes
NA - Prenatal: CS health profession
0
No
1
Yes
NA - Prenatal: CS health profession
0
No
1
Yes
NA - Prenatal: trained birth att.
0
No
1
Yes
Prenatal: trad.birth attendant
0
No
1
Yes
NA - Prenatal: relative
0
No
1
Yes
NA - Prenatal: CS other person
0
No
1
Yes
NA - Prenatal: CS other person
0
No
1
Yes
Prenatal: other resp (uncoded)
0
No
1
Yes
NA - Prenatal: CS other
0
No
1
Yes
NA - Prenatal: CS other
0
No
1
Yes
Prenatal: no one
0
No: some care
1
Yes: no care
During pregnancy - took Fansidar for Malaria
0
No
1
Yes
8
Don't know
During pregnancy - took Chloroquine for Malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy - took Unknown Drug for Malaria
0
No
1
Yes
8
Don't know
During pregnancy - took Coartem drug for Malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy - took country specific drug for Malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy - took country specific drug for Malaria
0
No
1
Yes
8
Don't know
NA - During pregnancy - took country specific drug for Malaria
0
No
1
Yes
8
Don't know
During pregnancy - took other drug for Malaria
0
No
1
Yes
8
Don't know
During pregnancy - took no drug for Malaria
0
No
1
Yes, took no drug
8
Don't know
Case Identification
Case Identification
Entries in maternity table
Entries in health table
Entries in height/weight table
Have bednet for sleeping (household report)
0
No
1
Yes
Children under 5 slept under bednet last night (HH report)
0
No
1
All children
2
Some children
3
No bednet in HH
Respondent slept under bednet
0
No
1
Yes
Columns used for Last Birth Only variables
0
See specific questions
1
Only last birth
2
All columns
Case Identification
Case Identification
Index to birth history
Had fever in last two weeks
0
No
1
Yes
8
DK
Fever/cough: government hosp.
0
No
1
Yes
Fever/cough: govt health cntr
0
No
1
Yes
Fever/cough: govt health post
0
No
1
Yes
Fever/cough: mobile clinic
0
No
1
Yes
Fever/cough: comm.health wrkr
0
No
1
Yes
Fever/cough: public company
0
No
1
Yes
NA - Fever/cough: CS public sector
0
No
1
Yes
NA - Fever/cough: CS public sector
0
No
1
Yes
Fever/cough: oth public sector
0
No
1
Yes
Fever/cough: private hosp/clin
0
No
1
Yes
Fever/cough: private pharmacy
0
No
1
Yes
Fever/cough: private doctor
0
No
1
Yes
Fever/cough: private mobile cl
0
No
1
Yes
NA - Fever/cough: comm.health wrkr
0
No
1
Yes
NA - Fever/cough: CS med.priv sect
0
No
1
Yes
NA - Fever/cough: CS med.priv sect
0
No
1
Yes
NA - Fever/cough: CS med.priv sect
0
No
1
Yes
Fever/cough: oth med.priv sect
0
No
1
Yes
Fever/cough: shop
0
No
1
Yes
NA - Fever/cough: traditional pract
0
No
1
Yes
Fever/cough: traditional provider
0
No
1
Yes
NA - Fever/cough: CS oth.priv sect
0
No
1
Yes
NA - Fever/cough: CS oth.priv sect
0
No
1
Yes
Fever/cough: Other
0
No
1
Yes
Fever/cough: no treatment
0
No: received treatm.
1
Yes: no treatment
Fever/cough: medical treatment
0
No
1
Yes
Place first sought treatment for fever
10
PUBLIC SECTOR
11
Government hospital
12
Government health center
13
Government health post
14
Mobile clinic
15
Field worker
16
Public company
17
Other public
20
PRIVATE MEDICAL
21
Private hospital, clinic
22
Pharmacy
23
Private doctor
24
Private mobile clinic
25
Field worker
26
Other private
30
OTHER
31
Shop
32
Traditional practitioner
96
Other
Days after fever sought advice or treatment
0
Same day
98
Don't know
Case Identification
Case Identification
Index to birth history
Age in months
Day of birth of child
97
Inconsistent
98
DK
Line no. of parent/caretaker
0
Not in household
Read consent statement
1
Granted
2
Refused
Hemoglobin level (g/dl - 1 decimal)
Result of measuring (Hemoglobin)
0
Measured
1
Dead
3
Not present
4
Refused
6
Other
7
No measurement found in HH
Hemoglobin level adjusted by altitude (g/dl - 1 decimal)
Anemia level
1
Severe
2
Moderate
3
Mild
4
Not anemic
Case Identification
Case Identification
Time interview started
Time interview ended
Length of interview in minutes
95
95+
96
2+ visits
97
Inconsistent
Number of visits
Interviewer identification
Keyer identification
Case Identification
Case Identification
Index to birth history
Type of bednet(s) child slept under last night
0
No bednet
1
Only treated bednets
2
Both treated and untreated bednets
3
Only untreated bednets
Times took Fansidar during pregnancy
98
Don't know
Type of visit at source for antimalarial during pregnancy
1
Antenatal visit
2
Another facility visit
6
Other source
Child has fever now
0
No
1
Yes, fever only
2
Yes, cough only
3
Both fever and cough
8
Don't know
Fansidar taken for fever/cough
0
No
1
Yes
Chloroquine taken for fever/cough
0
No
1
Yes
NA - Amodiaquine taken for fever/cough
0
No
1
Yes
Quinine taken for fever/cough
0
No
1
Yes
NA - Combination with artemisinin taken for fever/cough
0
No
1
Yes
Coartem taken for fever/cough
0
No
1
Yes
NA - CS antimalarial taken for fever/cough
0
No
1
Yes
Other antimalarial taken for fever/cough
0
No
1
Yes
NA - Pills/syrup taken for fever/cough
0
No
1
Yes
NA - Injection taken for fever/cough
0
No
1
Yes
Aspirin taken for fever/cough
0
No
1
Yes
Acetaminophen taken for fever/cough
0
No
1
Yes
Ibuprofen taken for fever/cough
0
No
1
Yes
Paracetamol taken for fever/cough
0
No
1
Yes
NA - CS other for fever/cough
0
No
1
Yes
NA - CS other for fever/cough
0
No
1
Yes
Other taken for fever/convulsion
0
No
1
Yes
Nothing taken for fever/convulsion
0
No
1
Yes, nothing taken
Don't know if or what was taken for fever/convulsion
0
No
1
Yes, DK
When started Fansidar
0
Same day as fever/convulsion
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
Days child took Fansidar
7
7+ days
8
Don't know
First source for Fansidar
0
Other source
1
At home
8
Don't know
When started Chloroquine
0
Same day as fever/convulsion
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
Days child took Chloroquine
7
7+ days
8
Don't know
First source for Chloroquine
0
Other source
1
At home
8
Don't know
When started Quinine
0
Same day as fever/convulsion
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
Days child took Quinine
7
7+ days
8
Don't know
First source for Quinine
0
Other source
1
At home
8
Don't know
When started Coartem antimalarial
0
Same day as fever/convulsion
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
Days child took Coartem antimalarial
7
7+ days
8
Don't know
First source for Coartem antimalarial
0
Other source
1
At home
8
Don't know
When started other anti-malarial
0
Same day as fever/convulsion
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
Days child took other anti-malarial
7
7+ days
8
Don't know
First source for other anti-malarial
0
Other source
1
At home
8
Don't know
Case Identification
Case Identification
Province
1
Cabinda
2
Zaire
3
Uige
4
Luanda
5
Kwanza Norte
6
Kwanza Sul
7
Malange
8
Lunda Norte
9
Benguela
10
Huambo
11
Bie
12
Moxico
13
Kuando Kubango
14
Namibe
15
Huile
16
Cunene
17
Lunda Sul
18
Bengo
Municipality
101
Cabinda
107
Belize
201
Mbanza Congo
209
Nóqui
301
Uíge
309
Negage
311
Bungo
313
Maquela do Zombo
315
Damba
323
Quimbele
331
Buengas (ex Nova Esperança)
401
Ingombota
403
Maianga
405
Rangel
407
Sambizanga
409
Cazenga
411
Kilamba Kiáxi
413
Samba
415
Cacuaco
417
Viana
503
Lucala
507
Kambambe
509
Ambaca
517
Samba Cajú
601
Sumbe (ex. Ngunza)
603
Amboim (ex. Gabela)
607
Porto Amboim
615
Seles (ex. Uku Seles)
621
Cela ( ex Waku-Kungo)
701
Malanje
703
Cacuso
705
Calandula
711
Kahombo
715
Luquembo
723
Mucari (Caculama)
803
Cambulo
805
Chitato
811
Lubalo
815
Xá-Muteba
901
Benguela
903
Baía Farta
905
Lobito
907
Cubal
911
Balombo
1001
Huambo
1005
Katchiungo
1009
Caála
1017
Mungo
1103
Cunhinga (Vouga)
1107
Andulo
1111
Camacupa
1113
Cuemba
1115
Chitembo
1203
Kamanongue
1211
Bundas-Lumbala-Nguimbo
1215
Alto Zambeze
1217
Luau
1301
Menongue
1307
Rivungo
1401
Namibe
1403
Tômbwa (ex. Porto Alexandre)
1409
Camucuio
1501
Lubango
1505
Chibia
1509
Caluquembe
1515
Quipungo
1517
Matala
1519
Chicomba
1525
Gambos ( ex-Chiange)
1601
Kwanhama
1603
Ombadja (ex. Cuamato)
1609
Namacunde
1611
Kahama
1703
Muconda
1705
Dala
1801
Dande (Caxito)
1803
Icolo Bengo
1809
Nambuangongo
Language learned to speak
1
Portuguese
2
Ju
3
Nimbund
4
Kongo
5
Kun
6
Kwadi
7
Kwanyama
8
Lunda
9
Ndoga
10
Oshiwam
11
Umbun
96
Other
Heard of an illness called 'Malaria'
0
No
1
Yes
How to recognize a person has malaria - Fever
0
No
1
Yes
How to recognize a person has malaria - Chills
0
No
1
Yes
How to recognize a person has malaria - Headache
0
No
1
Yes
How to recognize a person has malaria - Joint pain
0
No
1
Yes
How to recognize a person has malaria - Lack of apetite
0
No
1
Yes
How to recognize a person has malaria - Other
0
No
1
Yes
How to recognize a person has malaria - Doesn't know any
0
No
1
Yes
Person most likely to come down with acute malaria - Children
0
No
1
Yes
Person most likely to come down with acute malaria - Pregnant women
0
No
1
Yes
Person most likely to come down with acute malaria - Adults
0
No
1
Yes
0
No
1
Yes
Person most likely to come down with acute malaria - All the same
0
No
1
Yes
Person most likely to come down with acute malaria - Other
0
No
1
Yes
Person most likely to come down with acute malaria - Don't Know
0
No
1
Yes
Causes for Malaria - Mosquito bites
0
No
1
Yes
Causes for Malaria - Dirty needle
0
No
1
Yes
Causes for Malaria - Dirty environment
0
No
1
Yes
Causes for Malaria - Contaminated food
0
No
1
Yes
Causes for Malaria - Witchcraft
0
No
1
Yes
Causes for Malaria - Other
0
No
1
Yes
Causes for Malaria - Doesn't know any
0
No
1
Yes
Way to prevent malaria
0
No
1
Yes
8
DK
Prevention - Sleep under mosquito nets
0
No
1
Yes
8
DK
Prevention - Use mosquito coils
0
No
1
Yes
8
DK
Prevention - Fumigate the house
0
No
1
Yes
8
DK
Prevention - Keep doors and windows closed
0
No
1
Yes
8
DK
Prevention - Use insects repellent
0
No
1
Yes
8
DK
Prevention - Keep a clean environment
0
No
1
Yes
8
DK
Prevention - Mowing the lawns
0
No
1
Yes
8
DK
Prevention - Other
0
No
1
Yes
8
DK
Prevention - DK
0
No
1
Yes
8
DK
Malaria can be treated
0
No
1
Yes
8
DK
Medicine for malaria - SP/Fansidar
0
No
1
Yes
8
DK
Medicine for malaria - Chloroquine
0
No
1
Yes
8
DK
Medicine for malaria - Quinine
0
No
1
Yes
8
DK
Medicine for malaria - Coartem
0
No
1
Yes
8
DK
Medicine for malaria - Aspirine / Panadol / Paracetamol, etc
0
No
1
Yes
8
DK
Medicine for malaria - Medicinal Herbs
0
No
1
Yes
8
DK
Medicine for malaria - Other
0
No
1
Yes
8
DK
Medicine for malaria - Don't know
0
No
1
Yes
8
DK
Saw or heard messages about malaria
0
No
1
Yes
Messages about Malaria - Seek medical treatment in case of fever
0
No
1
Yes
8
DK
Messages about Malaria - Sleep under mosquito nets
0
No
1
Yes
8
DK
Messages about Malaria - Pregnant women must have medicine to prevent malaria
0
No
1
Yes
8
DK
Messages about Malaria - Malaria may cause death
0
No
1
Yes
8
DK
Messages about Malaria - Other
0
No
1
Yes
8
DK
Messages about Malaria - Doesn't Remember
0
No
1
Yes
8
DK
Place saw or heard messages - Radio
0
No
1
Yes
8
DK
Place saw or heard messages - TV
0
No
1
Yes
8
DK
Place saw or heard messages - Newspaper
0
No
1
Yes
8
DK
Place saw or heard messages - Video club
0
No
1
Yes
8
DK
Place saw or heard messages - Advertising cards
0
No
1
Yes
8
DK
Place saw or heard messages - Posters
0
No
1
Yes
8
DK
Place saw or heard messages - Brochures
0
No
1
Yes
8
DK
Place saw or heard messages - School / University
0
No
1
Yes
8
DK
Place saw or heard messages - Health stands / Health promotors
0
No
1
Yes
8
DK
Place saw or heard messages - Other
0
No
1
Yes
8
DK
Case Identification
Case Identification
Index to birth history
Pregnant women need to take some kind of medication
0
No
1
Yes
8
DK
Prenatal - Nurse
0
No
1
Yes
Prenatal - Midwife
0
No
1
Yes
Case Identification
Case Identification
Index to birth history
Days started
98
DK
Place of treatment - Private Hospital
0
No
1
Yes
Place of treatment - Private Clinic
0
No
1
Yes
Someone drew blood
0
No
1
Yes
8
DK