Findings from field research in Malawi and current literature.
2nd Generation HIV Surveillance in Pakistan, Round 5
The report is based on comprehensive information collected at representative sample health facilities all over the country by well-organized and trained teams during May and August 2015. This is a continuation of 2014 Assessment activities and findings also reflect comparison between two consecutive... years.
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SCOPING QUESTION: In the management of prescription opioid dependence, does supervised dosing with a long-acting opioid medication result in less opioid use and related harms than non-prescription, detoxification or usual care?
Analytical Report
Almaty 2015
Accessed: 26.09.2019
Bishkek 2015
Accessed: 26.09.2019
This report presents the key findings of the end-of-project assessment of households and
community health volunteers, conducted in 2017 in the Kamukunji and Embakasi sub-counties
of Nairobi, Kenya, for a Community Health Volunteers’ Decision Support System (CHV DSS)
intervention project. The re...port was prepared by the African Population and Health Research
Center (APHRC). The end-line survey was implemented by APHRC. Implementation of the CHV
DSS project is a joint collaboration among several partners, including APHRC, the City County
of Nairobi, sub-county health management teams (Kamukunji and Embakasi), and community
health volunteers. The opinions expressed in this report are those of the authors and do not
necessarily reflect the views of the donor organization, the County Innovation Challenge Fund
for Kenya.
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The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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This study looked at structural risk factors to COVID-19 that existed before the outbreak and may have direct and indirect effects on COVID-19 risk across all the 47 counties in Kenya. These factors are COVID-19 exposure and vulnerability and lack of adaptive capacity to COVID-19.