Statistical Report | No. 39: 2013
The 2013 RMIS is a nationally representative, household-based survey that provides data on malaria indicators, which are used to assess the progress of a malaria control program. The primary objective of the 2013 Rwanda Malaria Indicator Survey (2013 RMIS) was to provide up-to date information on th...e prevention of malaria to policymakers, planners, and researchers.
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This document aims to provide concrete, pragmatic guidance for how TB modelling and related technical assistance is undertaken to support country decision-making. The target audience for this document are the participants and stakeholders in country-level TB modelling efforts, including the individu...als who build and apply models; policy-makers, technical experts and other members of the TB community; international funding and technical partners; and individuals and organizations engaged in supporting TB policy-making.
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Eine kinderrechtliche Analyse basierend auf einer Befragung der 16 Bundesländer
“Follow the Voice of Life”
AIDSTAR-One | Case study series October 2011
DEVELOPMENT BULLETIN | No.74, June 2011 | Editor: Pamela Thomas | Features and case studies | Progress with implementing conventions and strategies | Progress with capacity building | Progress with disability-inclusive education | Disability-inclusive research | Innovative inclusion | Review of urba...nisation in the Pacific | Development assistance and disability
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DHS Further Analysis Reports No. 109 - This report documents trends in key child nutrition indicators in Rwanda. Data from the Demographic and Health Surveys (DHS) in 2005, 2010, and 2014-15 were analyzed, disaggregated by selected equity-related variables, and tested for trends. Over the survey per...iod, Rwanda had high rates of exclusive breastfeeding, with regional variation. Rates of continued breastfeeding were also high but generally decreased as mother’s education and household wealth increased in all survey years. Complementary feeding practices varied by region, mother’s education, household wealth, urban-rural residence, and sex of the child.
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Health Systems in Transition. Vol. 5 No.3 2015