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Policy Brief | April 2015 | This brief accompanies the data sheet, Addressing Risk Factors for Noncommunicable Diseases Among Young People in Africa: Key to Prevention and Sustainable Development, and its data appendix, which provide all available country-specific data on four key NCD risk factors a
...
mong young people in Africa since 2004. These publications extend an earlier publication, Noncommunicable Disease Risk Factors Among Young People in Africa: Data Availability and Sources. All are available at www.prb.org/Publications/Datasheets/2015/ncd-risk-youth-africa.aspx.
more
NHSP 2017- 2022 (Final draft)
National Guidelines for HIV & AIDS Care and Treatment (5th Edition)
Miners
M. Smelyanskaya, J. Duncan (The Focus Group Consulting); D. Daniels, et al.
Stop TB Partnership; UNOPS; END TB
(2016)
C1
Key popupations brief.
Rappart sur les populations clés.
Prisoners
M. Smelyanskaya, J. Duncan (The Focus Group Consulting); C. Daniels, et al.
Stop TB Partnership; UNOPS; END TB
(2016)
C1
Key population brief.
Rapport sur les populations clés.
Regional Tuberculosis Program, Pan American Health Organization (PAHO/WHO)
This study, and similar studies in Kenya, Mozambique, Swaziland, Uganda, and Zambia is the outcome of close collaborative by a team in Swaziland, with technical and financial support from the UNAIDS Regional Support Team for Eastern and Southern Africa, UNAIDS Geneva, and the World Bank's Global HIV
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/AIDS Program (Global AIDS Monitoring and Evaluation Team). The study entailed using existing data and collecting new data to better know the country's HIV epidemic, know the country HIV response and how funding was allocated, so as to improve the HIV response and strengthen prevention based on evidence on what works to prevent new infections.
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Zambia National Health Strategic Plan 2017-2021
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DHS Further Analysis Reports No. 103
Developing health centres and hospital s indices for Syria, based on HeRAMS dataset 2014
World Health Organization
(2017)
C_WHO
This research paper uses the Health Resources and services Availability Mapping System (HeRAMS) database to develop two composite indices – one for health centres and one for hospitals – in order to analyse and assess the health facilities’ performance across time and to evaluate the di
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sparities among regions in the Syrian Arab Republic. The indices will provide an evidence-based tool for the main actors in the health sector to identify gaps, to intervene accordingly and to assess the impact of their interventions on the health system. The process of constructing the indices includes description and selection of variables, application of normalization techniques and weighting methods, and sensitivity analysis.
A literature review, analysis of the scope of the HeRAMS database, analysis of the crisis situation, data limitation and expert consultations were the main aspects of the construction process of the indices.
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