Further Analysis of the 2011 Ethiopia Demographic and Health
Survey. DHS Further Analysis Reports No. 82
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 children from minority groups. Also included in the text a...re 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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Ethiopia saw a six-fold increase in confirmed COVID-19 cases between June and August, with 5,689 cases by end June compared to 34,058 cases as of 19 August. Ethiopia also registered more than 13,000 recoveries and more than 600 deaths. As of the last week of August, Ethiopia was leading eastern Afri...can countries with the highest number of cases.
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The scope includes the assessment of activities to improve the response to affected populations, stakeholders, partners and donors, building on lessons learnt so far in this outbreak.
Background paper for the Oslo Summit on Education for Development
Background paper for the Oslo Summit on Education for Development.
This paper covers the four topics of the Oslo Summit: investment in education, quality of learning, education in emergencies and girls’ education. Disability continues to be one of the primary causes of educational disadvantage a...nd exclusion,
creating the largest single group of girls and boys who remain out of school. Even in those countries
close to achieving universal primary enrolment, children with disabilities are still not in school,accessing opportunities to meaningful employment and on sustainable routes out of poverty
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This report summarizes the findings of the 2010 Rwanda Demographic and Health Survey (RDHS). The 2010 Rwanda Demographic and Health Survey (RDHS) was designed to provide data for monitoring the population and health situation in Rwanda. The 2010 RDHS is the fifth Demographic and Health Survey to be ...conducted in Rwanda (DHS in 1992, 2000, and 2005 and Interim DHS in 2007-08). The objective of the survey was to provide up-to-date information on fertility, family planning, childhood mortality, nutrition including anemia testing, maternal and child health, domestic violence, malaria including malaria testing, maternal mortality, awareness and behavior regarding HIV/AIDS and other sexually transmitted infections, and HIV prevalence.
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The Essential WASH Actions toolkit expands the connection between WASH and nutrition. This resource offers a comprehensive set of essential WASH actions, references training materials for health workers, nutrition managers and community workers to build capacity, and outlines accompanying behaviors ...needed to support the Essential Nutrition Actions.
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The United Nations Development Assistance Framework (UNDAF) 2018-2022 sets out the UN partnership aiming to support Nepal as it carves out its development agenda over the next five years. At the core of this new UNDAF are the SDGs, the Government of Nepal’s Fourteenth Plan, and international commi...tments and norms to which Nepal is a party. Leaping off from the lessons learned from the previous UNDAF (2013-2017), this new framework builds upon successes, incorporates emerging issues and agreements, and serves to address Nepal’s larger economic, social, and environmental objectives.
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Levels and Inequities
DHS Further Analysis Reports No. 110
This study shows large variations in maternal health indicators across high-priority counties in Kenya. Nairobi exceeds the national average on all maternal health indicators in this study, while other highpriority counties consist...ently are disadvantaged compared with Kenya as a whole in most maternal health indicators. Kisumu exceeds the national average in use of antenatal care, delivery in a health facility, and postnatal care, but not other indicators. Nakuru has fewer women with fertility risk and fewer women who report that the distance they must travel to reach a health facility is a problem.
This study identifies a number of inequities in maternal health indicators across socio-demographic characteristics in the high-priority counties—most in the distribution of delivery care and least in antenatal care. Inequities are also observed in fertility risk and postnatal care.
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DHS Further Analysis Reports No. 111
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delive...ry, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
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