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Publication Years
663
2498
263
7
2
Category
1933
188
166
138
88
26
13
5
Toolboxes
257
206
153
115
112
109
65
61
55
55
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54
50
48
46
25
23
21
11
11
7
5
4
1
Further analysis of 2011 Nepal Demographic and Health Survey on Tobacco Data
Khadka, B.B., Karki, Y.B.
National Health Education, Info rmation and Communication Centre MoHP and The Population, Health and Development (PHD) Group.
(2013)
C1
Further analysis of the 1996, 2001, and 2006 Demographic and Health Surveys Data
The government of Rwanda conducted the 2010 Rwanda Demographic and Health Survey (RDHS) to gather up-to-date information for monitoring progress on healthcare programs and policies in Rwanda, including the Economic Development and Poverty Reduction
...
Strategy (EDPRS), the Millennium Development Goals (MDGs),
and Vision 2020. The 2010 RDHS is a follow-up to the 1992, 2000, 2005, and 2007-08 RDHS surveys. Each survey provides data on background characteristics of the respondents, demographic and health indicators, household health expenditures, and domestic violence. The target groups in these surveys were women age 15-49 and men age 15-59
who were randomly selected from households across the country. Information about children age 5 and under also was collected, including the weight and height of the children.
more
Liberia: Demographic and Health Survey 2019-2020
Liberia Institute of Statistics and Geo-Information Services (LISGIS) Monrovia, Liberia
The DHS Program ICF
(2021)
C2
The LDHS provides an opportunity to inform policy and provide data for planning, implementation, and monitoring and evaluation of national health programs. It is designed to provide up-to-date information on health indicators including fertility lev
...
els, sexual activity, fertility preferences, awareness and use of family
planning methods, breastfeeding practices, nutritional status of children, early childhood and maternal mortality, maternal and child health, and awareness and behaviors regarding HIV/AIDS and other sexually transmitted infections. The study also incorporated measurements of HIV, hepatitis B, and hepatitis Cprevalence along with seroprevalence of Ebola virus disease antibodies, the results of which will be included in future addendums. In addition to presenting national estimates, the report provides estimates of key indicators for both rural and urban areas, the country’s 15 counties, and the capital, Monrovia.
more
DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally us ... ed additive methods with a data reduction method—principal component analysis (PCA).
We scored the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index. more
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally us ... ed additive methods with a data reduction method—principal component analysis (PCA).
We scored the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index. more
Social science and behavioural data compilation, DRC Ebola outbreak, June - August 2019
Bardosh, K.; T. Jones and J. Bedford
Social Science in Humanitarian Action: A Communication for Development Platform
(2019)
C1
This rapid compilation of data analyses provides a ‘stock-take’ of social science and behavioural data related to the on-going outbreak of Ebola in North Kivu, South Kivu and Ituri provinces. Ba
...
sed on data gathered and analysed by organisations working in the Ebola response and in the region more broadly, it explores convergences and divergences between datasets and, when possible, differences by geographic area, demographic group, time period and other relevant variables. Data sources are listed at the end of the document.
more
Malawi Demographic and Health Survey 2015-2016
recommended
The primary objective of the 2015-16 MDHS project is to provide up-to-date estimates of basic demographic and health indicators. Specifically, the MDHS collected information on fertility levels, marriage, fertility preferences, awareness and use of
...
family planning methods, breastfeeding practices, nutrition, maternal and child health and mortality, awareness and behavior regarding HIV/AIDS and other sexually transmitted infections (STIs), and other health-related issues such as smoking and knowledge of tuberculosis. As the 2015-16 MDHS is the first DHS survey in the country, trend analysis is not carried out in this report.
more
The World Health Organization and the Global Fund to Fight AIDS, Tuberculosis and Malaria are part of a group of agencies working together to accelerate progress towards the health-related SDGs through the Global Action Plan for Healthy Lives and Well-being for All. Understanding patterns of inequal
...
ities in these diseases is essential for taking strategic, evidence-informed action to realize our shared vision of ending the epidemics of HIV, TB and malaria.
This report presents the first comprehensive analysis of the magnitude and patterns of socioeconomic, demographic and geographic inequalities in disease burden and access to services for prevention and treatment.
The results confirm there have been improvements in service coverage and decreased disease burden at the national level over the past decade. But they also reveal an uncomfortable reality: unfair inequalities between population subgroups within countries are widespread and have remained largely unchanged over the past decade. For some disease indicators, inequalities are even worsening.
Moreover, the report points to the persistent lack of available data to fully understand inequality patterns in HIV, TB and malaria. Collecting data to improve the monitoring of inequalities in these diseases is vital to develop targeted responses for impact.
There are, encouragingly, isolated successes in reducing inequities. Change is possible when deliberate action is taken to reach disadvantaged populations.
more
Demographic and Health Survey - Kyrgyz Republic
USAID; UNFPA; STAT.KG
(2013)
C2
National Statistical Committee of the Kyrgyz Republic Bishkek, Kyrgyz Republic
Ministry of Health Bishkek, Kyrgyz Republic
MEASURE DHS
ICF International Calverton, Maryland, U.S.A.
Data from the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Trend Reports No. 7
