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Bridging the Gap: Examining disability and development in four African countries. The case for equitable education

GROCE, Nora
et al
June 2018

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Over the course of a three-year project the Leonard Cheshire Research Centre worked with research teams in four countries: Kenya, Sierra Leone, Uganda and Zambia to better understand the relationship between disability and development in each country across four domains: education, health, labour markets and social protection. This mixed methods research used a range of interrelated components, including policy and secondary data analysis, a household survey of 4,839 households (13,597 adults and 10,756 children), 55 focus group discussions and 112 key informant interviews across the four countries. 

 

This report explores key findings in relation to education. Key findings discussed include school attendance, cost of education, inability to learn and gap in educational attainment.

Missing the target #4 : time is running out to end AIDS - treatment and prevention for all!

INTERNATIONAL TREATMENT PREPAREDNESS COALITION (ITPC)
July 2007

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This report provides research from 17 countries to support the case that efforts to ensure universal access to treatment for HIV and AIDS are maintained and accelerated; that supplementary services are also provided free at the point of access; that there is increased investment in health care workers; and co-ordinated policy reforms. It also recommends that donors ensure sustainable funding for treatment programmes and identifies areas of weaknesses in global programmes. In addition, it provides focus reports for Cambodia, China, Malawi, Uganda, Zimbabwe and Zambia; brief updates on countries previously reported on: Dominican Republic, Kenya, Nigeria, India, Russia and South Africa; and short summaries on Argentina, Belize, Cameroon, Malaysia and Morocco

Mapping malaria risk in Africa

MAPPING MALARIA RISK IN AFRICA / ATLAS DU RISKE DE LA MALARIA EN AFRIQUE (MARA/ARMA)
December 2004

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This site presents maps of malaria risk and endemicity (the presence of malaria) in Africa, drawing on published and unpublished data, and through spatial modelling of malaria distribution, seasonality and endemicity. Many factors, especially endemicity, affect the choice of control methods. In the absence of such data it is impossible to rationalize the allocation of limited resources for malaria control. This site presents an opportunity to rethink endemicity and how we may map malaria risk in order to better support planning and programming of malaria control

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