Uganda Malaria Indicators Survey 2009
Uganda, 2009 - 2010
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Feb 14, 2018
Last modified
Feb 14, 2018
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Identification
Survey ID Number
UGA-UBOS-UMIS-2009-V01
Title
Uganda Malaria Indicators Survey 2009
Country
| Name |
|---|
| Uganda |
Study type
Other Household Health Survey [hh/hea]
Series Information
The 2009 Uganda Malaria Indicator Survey (UMIS) is the first nationally representative survey of malaria in Uganda,
and the Ministry of Health (MOH) plans to repeat this survey every two to three years. Another key source of information about malaria indicators is the Uganda Demographic and Health Survey (UDHS), last conducted in 2006 and now
onducted every five years.For the past five years, major interventions have been undertaken as a part of the country’s
strategic planning effort to help bring malaria under control in Uganda. The Ministry of Health, in partnership with many
of the stakeholders in the fight against malaria, has intensified efforts to increase access to and use of long-lasting insecticidal nets (LLINs), which are more durable and cost-effective than untreated nets. Despite these many efforts to combat malaria over the years, the Ministry of Health has previously never conducted a comprehensive survey to measure the extent of treatment efforts on morbidity and mortality.
and the Ministry of Health (MOH) plans to repeat this survey every two to three years. Another key source of information about malaria indicators is the Uganda Demographic and Health Survey (UDHS), last conducted in 2006 and now
onducted every five years.For the past five years, major interventions have been undertaken as a part of the country’s
strategic planning effort to help bring malaria under control in Uganda. The Ministry of Health, in partnership with many
of the stakeholders in the fight against malaria, has intensified efforts to increase access to and use of long-lasting insecticidal nets (LLINs), which are more durable and cost-effective than untreated nets. Despite these many efforts to combat malaria over the years, the Ministry of Health has previously never conducted a comprehensive survey to measure the extent of treatment efforts on morbidity and mortality.
Abstract
The 2009 UMIS was designed to provide data to monitor all key malaria indicators in Uganda.
Specifically, the MIS collected information on ownership and use of mosquito bed nets,intermittent
preventive drug treatment for pregnant women, timing and type of treatment for childhood fever,
and prevalence of anaemia and malaria among children.
The key objectives of the 2009 UMIS were to:
• Measure the extent of ownership and use of mosquito bed nets
• Assess coverage of the intermittent preventive treatment programme for pregnant women
• Identify practices used to treat malaria among children under age 5 and the use of specific
antimalarial medications
• Measure the prevalence of malaria and anaemia among children age 0-59 months
• Determine the species of plasmodium parasite most prevalent in Uganda
• Assess knowledge, attitudes, and practices regarding malaria in the general population
The 2009 UMIS was carried out between November 4, 2009 and December 24, 2009, using a nationally
representative sample of 4,760 households. All women age 15-49 years in these households were
eligible to be individually interviewed and were asked questions about the prevention of malaria during
pregnancy and the treatment of childhood fevers. In addition, the survey included testing for anaemia and
malaria among children age 0-59 months. Using a finger (or heel) prick blood sample, results from anaemia
and malaria testing were available immediately and were provided to the children’s parents or guardians.
Thick and thin smears were also prepared in the field and taken to the Uganda Malaria Surveillance
Project Molecular Laboratory in Kampala for microscopy.
Specifically, the MIS collected information on ownership and use of mosquito bed nets,intermittent
preventive drug treatment for pregnant women, timing and type of treatment for childhood fever,
and prevalence of anaemia and malaria among children.
The key objectives of the 2009 UMIS were to:
• Measure the extent of ownership and use of mosquito bed nets
• Assess coverage of the intermittent preventive treatment programme for pregnant women
• Identify practices used to treat malaria among children under age 5 and the use of specific
antimalarial medications
• Measure the prevalence of malaria and anaemia among children age 0-59 months
• Determine the species of plasmodium parasite most prevalent in Uganda
• Assess knowledge, attitudes, and practices regarding malaria in the general population
The 2009 UMIS was carried out between November 4, 2009 and December 24, 2009, using a nationally
representative sample of 4,760 households. All women age 15-49 years in these households were
eligible to be individually interviewed and were asked questions about the prevention of malaria during
pregnancy and the treatment of childhood fevers. In addition, the survey included testing for anaemia and
malaria among children age 0-59 months. Using a finger (or heel) prick blood sample, results from anaemia
and malaria testing were available immediately and were provided to the children’s parents or guardians.
Thick and thin smears were also prepared in the field and taken to the Uganda Malaria Surveillance
Project Molecular Laboratory in Kampala for microscopy.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households, Individuals
Version
Version Description
V1.0: Final edited data used for the production of a report
Version Date
2010
Version Notes
The Ministry of Health has previously never conducted a comprehensive survey to measure the extent of treatment
efforts on morbidity and mortality. The 2009 Uganda Malaria Indicator Survey (UMIS) is the first nationally
representative survey of malaria in Uganda, and the Ministry of Health (MOH) plans to repeat this survey every
two to three years.
efforts on morbidity and mortality. The 2009 Uganda Malaria Indicator Survey (UMIS) is the first nationally
representative survey of malaria in Uganda, and the Ministry of Health (MOH) plans to repeat this survey every
two to three years.
Scope
Notes
The scope of the Uganda Malaria Indicator Survey includes:
- HOUSEHOLD: Household characteristics, household listing, water and sanitation,
household use of insecticide treated mosquito nets, and salt iodization, with optional
modules for child discipline, child disability, maternal mortality and security of tenure
and durability of housing.
- WOMEN: Women's characteristics, child mortality, tetanus toxoid, maternal and newborn
health, marriage, polygyny, female genital cutting, contraception, and HIV/AIDS knowledge,
with optional modules for unmet need, domestic violence, and sexual behavior.
- CHILDREN: Children's characteristics, birth registration and early learning, vitamin A,
breastfeeding, care of illness, malaria, immunization, and anthropometry, with an optional
module for child development.
- HOUSEHOLD: Household characteristics, household listing, water and sanitation,
household use of insecticide treated mosquito nets, and salt iodization, with optional
modules for child discipline, child disability, maternal mortality and security of tenure
and durability of housing.
- WOMEN: Women's characteristics, child mortality, tetanus toxoid, maternal and newborn
health, marriage, polygyny, female genital cutting, contraception, and HIV/AIDS knowledge,
with optional modules for unmet need, domestic violence, and sexual behavior.
- CHILDREN: Children's characteristics, birth registration and early learning, vitamin A,
breastfeeding, care of illness, malaria, immunization, and anthropometry, with an optional
module for child development.
Keywords
| Keyword | Vocabulary | URI |
|---|---|---|
| HEALTH [8] | CESSDA | Link |
Coverage
Geographic Coverage
National coverage
Geographic Unit
Enumeration Area
Universe
The survey covered all house hold members and a sample of 4,760 households was taken.
All women age 15-49 years in these households were eligible to be individually interviewed
and were asked questions about the prevention of malaria during pregnancy and the treatment
of childhood fevers. In addition, the survey included testing for anaemia and malaria among children
age 0-59 months.
All women age 15-49 years in these households were eligible to be individually interviewed
and were asked questions about the prevention of malaria during pregnancy and the treatment
of childhood fevers. In addition, the survey included testing for anaemia and malaria among children
age 0-59 months.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Uganda Bureau of Statistics | Ministry of Finance Planning and Economic Development |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Uganda Malaria Surveillance Project | Ministry of Health | Technical assistance |
| ICF MACRO | Ministry of Finance Planning and Economic Development | Technical assistance |
| World Health Organization | United Nations | Technical assistance |
| United Nations Children’s Fund , | United Nations | Technical assistance |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| President’s Malaria Initiative | (PMI) | Financial support |
| United States Agency for International Development | (USAID) | Financial support |
Other Identifications/Acknowledgments
| Name | Role |
|---|---|
| ICF Macro technical team | Technical Assistance |
Sampling
Sampling Procedure
sample of 4,760households. All women age 15-49 years in thesehouseholds were interviewed .
In addition, thesurvey included testing for anaemia and malariaamong children age 0-59 months.
The survey showed a substantial increase inhousehold ownership of mosquito bed nets.Overall,
59 percent of households in Uganda haveat least one mosquito net (treated or untreated), 47percent
have at least one insecticide-treated net(ITN), and 46 percent have at least one longlastinginsecticidal
net (LLIN). Compared withstatistics for 2006, when 34 percent of householdsowned at least one mosquito
net and only 16percent owned at least one ITN, ownership ofmosquito nets has increased quite significantly.
InUganda, universal bednet coverage is defined asthree ITNs per household. However, only 8percent of
households have three or more ITNs,which falls far short of the 2010 target of 50%Only a third (33 percent)
of children under age5 in all households were reported to have slept under an ITN the night before the survey
(anincrease from 10 percent in 2006), although thesurvey took place just after the height of themalaria transmission
season. Thirty-three percentof all women reported that they slept under an ITNthe night before the survey
(an increase from 10percent in 2006), and 44 percent of pregnantwomen reported that they slept under an ITN
(anincrease from 10 percent in 2006).Using microscopy, 42 percent of children age 0-59 months (45 percent of
children age 6-59 months) tested positive for malaria.
In addition, thesurvey included testing for anaemia and malariaamong children age 0-59 months.
The survey showed a substantial increase inhousehold ownership of mosquito bed nets.Overall,
59 percent of households in Uganda haveat least one mosquito net (treated or untreated), 47percent
have at least one insecticide-treated net(ITN), and 46 percent have at least one longlastinginsecticidal
net (LLIN). Compared withstatistics for 2006, when 34 percent of householdsowned at least one mosquito
net and only 16percent owned at least one ITN, ownership ofmosquito nets has increased quite significantly.
InUganda, universal bednet coverage is defined asthree ITNs per household. However, only 8percent of
households have three or more ITNs,which falls far short of the 2010 target of 50%Only a third (33 percent)
of children under age5 in all households were reported to have slept under an ITN the night before the survey
(anincrease from 10 percent in 2006), although thesurvey took place just after the height of themalaria transmission
season. Thirty-three percentof all women reported that they slept under an ITNthe night before the survey
(an increase from 10percent in 2006), and 44 percent of pregnantwomen reported that they slept under an ITN
(anincrease from 10 percent in 2006).Using microscopy, 42 percent of children age 0-59 months (45 percent of
children age 6-59 months) tested positive for malaria.
Deviations from the Sample Design
Estimates derived from a sample survey are affected by two types of errors:
1) non-samplingerrors, and
2) sampling errors.
Non-sampling errors are the results of mistakes made in implementing data collection
and data processing, such as failure to locate and interview the correct household,
misunderstanding of the questions on the part of either the interviewer or the respondent,
and data entry errors. Although numerous efforts were made during the implementation
of the 2009 Uganda malaria indicator survey (2009 UMIS) to minimize this type of error,
non-sampling errors are impossible to avoid and difficult to evaluate statistically.
1) non-samplingerrors, and
2) sampling errors.
Non-sampling errors are the results of mistakes made in implementing data collection
and data processing, such as failure to locate and interview the correct household,
misunderstanding of the questions on the part of either the interviewer or the respondent,
and data entry errors. Although numerous efforts were made during the implementation
of the 2009 Uganda malaria indicator survey (2009 UMIS) to minimize this type of error,
non-sampling errors are impossible to avoid and difficult to evaluate statistically.
Response Rate
BEDNET OWNERSHIP AND USE
The survey showed a substantial increase in household ownership of mosquito bed
nets.Overall, 59 percent of households in Uganda have at least one mosquito net
(treated or untreated), 47 percent have at least one insecticide-treated net (ITN), and
46 percent have at least one longlasting insecticidal net (LLIN). Only a third (33 percent)
of children under age 5 in all households were reported to have slept under an ITN the
night before the survey (an increase from 10 percent in 2006), although the survey took
place just after the height of the malaria transmission season. Thirty-three percent of all
women reported that they slept under an ITN the night before the survey (an increase from
10percent in 2006), and 44 percent of pregnant women reported that they slept under an
ITN (an increase from 10 percent in 2006).
INTERMITTENT PREVENTIVE TREATMENT FOR PREGNANT WOMEN
Women who had a live birth in the two years preceding the 2009 UMIS were
asked if they had taken any drugs to prevent getting malaria during that pregnancy
and, if they answered yes, whichdrug. Only 32 percent said they received IPT
during the last pregnancy (compared with 16 percent in 2006).
TREATMENT OF CHILDHOOD FEVER
Mothers were asked whether their children under age 5 had had a fever
during the two weeks preceding the survey and, if so, whether the child was
given any medicine and, if so, what kind. Survey results show that 45 percent of children
under age 5 had a fever in the two weeks preceding the survey and among these children,
60 percent took some type of antimalarial drug, 23 percent took an artemisinin-combination
therapy (ACT), and 19 percent took quinine. Fourteen percent received the recommended
treatment of ACT within 24 hours of the onset of fever according to national treatment policy.
Survey findings also show that 80 percent of households live within 5 km of a health facility,
compared with 72 percent as stated in the HSSP-II.
ANAEMIA IN CHILDREN
Survey data show that anaemia is a significant public health problem in Uganda.
Malaria accounts for a significant proportion of anaemia in children under age 5. Six out of ten
Ugandan children under age 5 are anaemic (Hb concentration levels below 11 g/dl).
Twenty-one percent are mildly anaemic, 30 percent are
moderately anaemic, and 10 percent are severely anaemic.
MALARIA PREVALENCE IN CHILDREN
Malaria prevalence among children age 0-59 months was measured in the 2009
UMIS in two ways. In the field, health technicians used the Paracheck Pf® rapid
diagnostic blood test (RDT) to determine whether children had malaria. In addition,
thin and thick smears from each child’s blood were made in the field and transported to the
UMSP Molecular Laboratory for confirmatory microscopy testing.Using microscopy,
42 percent of children age 0-59 months (45 percent of children age 6-59months) tested positive
for malaria.
The survey showed a substantial increase in household ownership of mosquito bed
nets.Overall, 59 percent of households in Uganda have at least one mosquito net
(treated or untreated), 47 percent have at least one insecticide-treated net (ITN), and
46 percent have at least one longlasting insecticidal net (LLIN). Only a third (33 percent)
of children under age 5 in all households were reported to have slept under an ITN the
night before the survey (an increase from 10 percent in 2006), although the survey took
place just after the height of the malaria transmission season. Thirty-three percent of all
women reported that they slept under an ITN the night before the survey (an increase from
10percent in 2006), and 44 percent of pregnant women reported that they slept under an
ITN (an increase from 10 percent in 2006).
INTERMITTENT PREVENTIVE TREATMENT FOR PREGNANT WOMEN
Women who had a live birth in the two years preceding the 2009 UMIS were
asked if they had taken any drugs to prevent getting malaria during that pregnancy
and, if they answered yes, whichdrug. Only 32 percent said they received IPT
during the last pregnancy (compared with 16 percent in 2006).
TREATMENT OF CHILDHOOD FEVER
Mothers were asked whether their children under age 5 had had a fever
during the two weeks preceding the survey and, if so, whether the child was
given any medicine and, if so, what kind. Survey results show that 45 percent of children
under age 5 had a fever in the two weeks preceding the survey and among these children,
60 percent took some type of antimalarial drug, 23 percent took an artemisinin-combination
therapy (ACT), and 19 percent took quinine. Fourteen percent received the recommended
treatment of ACT within 24 hours of the onset of fever according to national treatment policy.
Survey findings also show that 80 percent of households live within 5 km of a health facility,
compared with 72 percent as stated in the HSSP-II.
ANAEMIA IN CHILDREN
Survey data show that anaemia is a significant public health problem in Uganda.
Malaria accounts for a significant proportion of anaemia in children under age 5. Six out of ten
Ugandan children under age 5 are anaemic (Hb concentration levels below 11 g/dl).
Twenty-one percent are mildly anaemic, 30 percent are
moderately anaemic, and 10 percent are severely anaemic.
MALARIA PREVALENCE IN CHILDREN
Malaria prevalence among children age 0-59 months was measured in the 2009
UMIS in two ways. In the field, health technicians used the Paracheck Pf® rapid
diagnostic blood test (RDT) to determine whether children had malaria. In addition,
thin and thick smears from each child’s blood were made in the field and transported to the
UMSP Molecular Laboratory for confirmatory microscopy testing.Using microscopy,
42 percent of children age 0-59 months (45 percent of children age 6-59months) tested positive
for malaria.
Weighting
Sample weights were calculated for each cluster file sampling design weight for the i-th
cluster is given as: 1/fi = 1 / (P1i * P2i). All women age 15-49 years who were either
permanent residents of the households in the sample or visitors present in the household
on the night before the survey were eligible to be interviewed in the survey.In addition, all
children age 0-59 months who were listed in the household were eligible for the anaemia
and malaria testing component.
cluster is given as: 1/fi = 1 / (P1i * P2i). All women age 15-49 years who were either
permanent residents of the households in the sample or visitors present in the household
on the night before the survey were eligible to be interviewed in the survey.In addition, all
children age 0-59 months who were listed in the household were eligible for the anaemia
and malaria testing component.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2009 | 2010 |
Time periods
| Start date | End date |
|---|---|
| 2009 | 2010 |
Data Collection Mode
Face-to-face [f2f]
Supervision
Interviewing was conducted by teams of interviewers. with a team of Supervisers, nurses,
field technicians and drivers. Each team used a 4 wheel drive vehicle to travel from
cluster to cluster (and where necessary within cluster).
The role of the supervisor was to coordinator field data collection activities, including
management of the field teams, supplies and equipment, finances, maps and listings,
coordinate with local authorities concerning the survey plan and make arrangements for
accommodation and travel. Additionally, the field supervisor assigned the work to the
interviewers, spot checked work, maintained field control documents, and sent completed
questionnaires and progress reports to the central office.
The field Technician was responsible for reviewing each questionnaire at the end of the day,
checking for missed questions, skip errors, fields incorrectly completed, and checking for
inconsistencies in the data. The field editor also observed interviews and conducted review
sessions with interviewers.
Responsibilities of the supervisors and field Technicians are described in the Instructions
for Supervisors , together with the different field controls that were in place to control the
quality of the fieldwork.
field technicians and drivers. Each team used a 4 wheel drive vehicle to travel from
cluster to cluster (and where necessary within cluster).
The role of the supervisor was to coordinator field data collection activities, including
management of the field teams, supplies and equipment, finances, maps and listings,
coordinate with local authorities concerning the survey plan and make arrangements for
accommodation and travel. Additionally, the field supervisor assigned the work to the
interviewers, spot checked work, maintained field control documents, and sent completed
questionnaires and progress reports to the central office.
The field Technician was responsible for reviewing each questionnaire at the end of the day,
checking for missed questions, skip errors, fields incorrectly completed, and checking for
inconsistencies in the data. The field editor also observed interviews and conducted review
sessions with interviewers.
Responsibilities of the supervisors and field Technicians are described in the Instructions
for Supervisors , together with the different field controls that were in place to control the
quality of the fieldwork.
Data Collection Notes
The data collection team was recruited and supervised by UBOS.
Each data collection team included two health technicians who implemented the malaria and anemia testing and made the blood smear slides. Also on each team was one medically trained staff person (nurse or clinical officer) who ensured that medications for malaria were given in accordance with the appropriate treatment protocols. Verbal informed consent for testing of children was requested from the child's parent or guardian at the end of the household interview. The protocol for the blood specimen collection and analysis was approved by ICF Macro's Institutional Review Board as well as by the Uganda Virus Research Institute (UVRI), Centers for Disease Control and Prevention (CDC), and the Uganda National Council for Science and Technology (UNCST).
Each data collection team included two health technicians who implemented the malaria and anemia testing and made the blood smear slides. Also on each team was one medically trained staff person (nurse or clinical officer) who ensured that medications for malaria were given in accordance with the appropriate treatment protocols. Verbal informed consent for testing of children was requested from the child's parent or guardian at the end of the household interview. The protocol for the blood specimen collection and analysis was approved by ICF Macro's Institutional Review Board as well as by the Uganda Virus Research Institute (UVRI), Centers for Disease Control and Prevention (CDC), and the Uganda National Council for Science and Technology (UNCST).
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Uganda Bureau of Statistics | UBOS | Ministry of Finance Planning and Economic Development |
Questionnaires
Questionnaires
House hold Questionnaire: household questionnaire was administered in each household,
which collected various information on household members.In addition to a household
questionnaire, questionnaires were administered in each household for women age 15-49
and children under age five. Women's Questionnaire: This module is to be administered to
all women age 15 through 40
which collected various information on household members.In addition to a household
questionnaire, questionnaires were administered in each household for women age 15-49
and children under age five. Women's Questionnaire: This module is to be administered to
all women age 15 through 40
Data Processing
Data Editing
Data editing took place at a number of stages throughout the processing,
including:
a) Office editing and coding
b) During data entry
c) Structure checking and completeness
d) Secondary editing
e) Structural checking of Stata data files
including:
a) Office editing and coding
b) During data entry
c) Structure checking and completeness
d) Secondary editing
e) Structural checking of Stata data files
Data Appraisal
Estimates of Sampling Error
Estimates derived from a sample survey are affected by two types of errors:
1) non-sampling
errors, and
2) sampling errors.
Non-sampling errors are the results of mistakes made in implementing data
collection and data processing, such as failure to locate and interview the
correct household,misunderstanding of the questions on the part of either the
interviewer or the respondent, and data entry errors. Although numerous efforts
were made during the implementation of the 2009 Uganda malaria
indicator survey (2009 UMIS) to minimize this type of error, non-sampling errors
are impossible to avoid and difficult to evaluate statistically.
1) non-sampling
errors, and
2) sampling errors.
Non-sampling errors are the results of mistakes made in implementing data
collection and data processing, such as failure to locate and interview the
correct household,misunderstanding of the questions on the part of either the
interviewer or the respondent, and data entry errors. Although numerous efforts
were made during the implementation of the 2009 Uganda malaria
indicator survey (2009 UMIS) to minimize this type of error, non-sampling errors
are impossible to avoid and difficult to evaluate statistically.
Data Appraisal
A series of data quality tables are available to review the quality of the data and include the following:
- Age distribution of the household population
- Age distribution of eligible women and interviewed women
- Age distribution of eligible children and children for whom the mother or caretaker was interviewed
- Age distribution of children under age 5 by 3 month groups
- Age and period ratios at boundaries of eligibility
- Age distribution of the household population
- Age distribution of eligible women and interviewed women
- Age distribution of eligible children and children for whom the mother or caretaker was interviewed
- Age distribution of children under age 5 by 3 month groups
- Age and period ratios at boundaries of eligibility
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Head of Data processing Division | Uganda Bureau of Statistics | ubos@ubos.org | www.ubos.org |
Confidentiality
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted
access except those authorized by the data depositor.
2. Not to use any technique in an attempt to learn the identity of any person,
establishment, or sampling unit not identified on public use data files.
3. To hold in strictest confidence the identification of any establishment
or individual that may be inadvertently revealed in any documents or discussion,
or analysis. Such inadvertent identification revealed in her/his analysis will be
immediately brought to the attention of the data depositor.
Access conditions
The dataset is available as a Public Use Dataset. It is accessible to all for statistical and research purposes
only, under the following terms and conditions:
1.The data and other materials will not be redistributed or sold to other individuals, institutions,
or organizations without the written agreement of Uganda Bureau of Statistics.
2.The data will be used for statistical and scientific research purposes only. They will be used
solely for reporting of aggregated information, and not for investigation of specific individuals
or organizations.
3.No attempt will be made to re-identify respondents, and no use will be made of the identity of any
person or establishment discovered inadvertently. Any such discovery would immediately be reported
to Uganda Bureau of Statistics.
4. No attempt will be made to produce links among datasets provided by Uganda Bureau of Statistics,
or among data from Uganda Bureau of Statistics and other datasets that could identify individuals or
organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ
data obtained from Uganda Bureau of Statistics will cite the source of data in accordance with the Citation
Requirement provided with each dataset.
6. An electronic copy of all reports and publications based on the requested data will be sent to Uganda
Bureau of Statistics. 7. The original collector of the data, Uganda Bureau of Statistics, and the relevant
funding agencies bear no responsibility for use of the data or for interpretations or inferences based
upon such uses.
only, under the following terms and conditions:
1.The data and other materials will not be redistributed or sold to other individuals, institutions,
or organizations without the written agreement of Uganda Bureau of Statistics.
2.The data will be used for statistical and scientific research purposes only. They will be used
solely for reporting of aggregated information, and not for investigation of specific individuals
or organizations.
3.No attempt will be made to re-identify respondents, and no use will be made of the identity of any
person or establishment discovered inadvertently. Any such discovery would immediately be reported
to Uganda Bureau of Statistics.
4. No attempt will be made to produce links among datasets provided by Uganda Bureau of Statistics,
or among data from Uganda Bureau of Statistics and other datasets that could identify individuals or
organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ
data obtained from Uganda Bureau of Statistics will cite the source of data in accordance with the Citation
Requirement provided with each dataset.
6. An electronic copy of all reports and publications based on the requested data will be sent to Uganda
Bureau of Statistics. 7. The original collector of the data, Uganda Bureau of Statistics, and the relevant
funding agencies bear no responsibility for use of the data or for interpretations or inferences based
upon such uses.
Citation requirements
Uganda Bureau of Statistics (UBOS) and ICF Macro. 2010. Uganda Malaria Indicator
Survey 2009. Calverton,Maryland, USA: UBOS and ICF Macro.
Survey 2009. Calverton,Maryland, USA: UBOS and ICF Macro.
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Uganda Bureau of Statistics | MINISTRY OF FINANCE PLANNING AND ECONOMIC DEVELOPMENT | ubos@ubos.org | www.ubos.org |
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the Uganda Bureau of Statistics
and the relevant funding agency(ies) bear no responsibility for use of the data or
for interpretations or inferences based upon such uses.
and the relevant funding agency(ies) bear no responsibility for use of the data or
for interpretations or inferences based upon such uses.
Copyright
(C) 2009,Uganda Bureau of Statistics
Metadata production
DDI Document ID
DDI-UGA-UBOS-UMIS-2009-v01
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Uganda Bureau of Statistics | UBOS | MINISTRY OF FINANCE PLANNING AND ECONOMIC DEVELOPMENT | DOCUMENTATION SURVEY |
Date of Metadata Production
2010-08-16
DDI Document version
Version 1.1 (August 2011).