The 2019 SLDHS is a national sample survey that provides up-to-date information on demographic and health indicators. The sample was selected using
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a stratified, two-stage cluster design, with enumeration areas (EAs) as the sampling units for the first stage. The second stage was a complete listing of households carried out in each of the 578 selected EAs. The target groups were women age 15-49 and men age 15-59 in
randomly selected households across the country. A representative sample of approximately 13,872 households was selected for the survey. Half of the households (6,936) were selected for biomarker and men’s interview. The men’s survey was conducted in half (50%) of the sample households, and all men age 15-59 in these households were included. In this subsample, one eligible woman in each household was randomly selected to be asked additional questions about domestic violence.
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The Core Set of Indicators and respective Indicator Data Sheets aim to pave the way towards a common understanding, greater consistency and compara
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bility across countries and alignment of results chains of German Development Cooperation in the field of health and social health protection with the internationally recognized health systems framework of WHO and International Health Partnership (IHP+).
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The primary objective of the 2015-16 MDHS project is to provide up-to-date estimates of basic demographic and health indicators. Specifically, the
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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.
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The 2018 NDHS is a national sample survey that provides up-to-date information on demographic and health indicators. The sample was selected using
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a stratified, two-stage cluster design, with enumeration areas (EAs) as the sampling units for the first stage. The second stage was a complete listing of households carried out in each of the 1,400 selected EAs. The target groups were women age 15-49 and men age 15-59
in randomly selected households across Nigeria. A representative sample of approximately 42,000 households was selected for the survey. One-third of the households (14,000) were selected for malaria, anaemia, and genotype testing of children age 6-59 months. Also, in the subsample of households selected
for the men’s survey, one eligible woman in each household was randomly selected for additional questions regarding domestic violence. Specifically, information was collected on fertility levels, marriage, fertility preferences, awareness and use of family planning methods, child feeding practices, nutritional status of women and children, adult and childhood mortality, awareness and attitudes regarding
HIV/AIDS, and female genital mutilation. The survey also assessed the nutritional status (according to weight and height measurements) of women and children in these households. In addition to presenting national estimates, the report provides estimates of key indicators for both rural and urban areas, the country’s six geopolitical zones and 36 states, and the Federal Capital Territory (FCT).
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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
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and Ituri provinces. Based 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.
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DHS Further Analysis Reports No. 108 - This report examines levels, trends, and inequalities in maternal health in Rwanda from 2010 to 2014-15 among women age 15-49 with a recent birth. The analysis uses D
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emographic and Health Survey (DHS) data for 15 key indicators of maternal health: 6 for antenatal care, 3 for delivery, 1 for postnatal care, and 5 for barriers to accessing medical care. Levels and trends in these indicators were analyzed overall and by three background characteristics: women’s education, household wealth quintile, and region.
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The DHS report itself explains the purpose was, “to obtain and provide information on basic indicators of social progress including fertility, ch
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ildhood mortality, reproductive and child health, nutritional status of children, and awareness of HIV/AIDS and other health-related issues” in PNG. This is important because a DHS then provides the evidence base for PNG officials themselves to track progress in PNG over time, compare trends with other comparable countries, and then allocate financial and human resources to where they are needed most.
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Making education more inclusive requires schools and education authorities to remove the barriers to education experienced by the most excluded children - often the poorest, children with disabilities, children without family care, girls, or childre
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n from minority groups. Also included in the text are examples of children from very remote areas, girls excluded from school, children from ethnic groups, children with language barriers, and children in countries affected by conflict.
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his publication provides an overview of social inequalities in several indicators related to the health of women, children, and adolescents in a re
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gion deemed as one with high levels of inequality: Latin America and the Caribbean (LAC). In order for it to serve as a baseline for the 2030 Agenda, emphasis is placed on examining these inequalities around the year 2014. The analysis suggests that reducing within-country disparities is a priority, as widespread social inequalities in health are identified among LAC countries.
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Statistical Agency under the President of the Republic of Tajikistan Dushanbe, Republic of Tajikistan
Ministry of Health and Social Protection of Population of the Republic of Tajikistan
Dushanbe,
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Republic of Tajikistan
The DHS Program ICF
Rockville, Maryland, USA
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