keyword: | mixed epidemics |
Case Study
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Data from a 2009 modeling exercise suggested that Rwanda has a mixed HIV epidemic, meaning that transmission occurs within both most-at-risk popula |
Prompted by a growing knowledge of the complexity of HIV transmission, many countries are reassessing the nature of their HIV epidemics. "Mixed" ep |
HIV Prevention Knowledge Base Entry
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Combination prevention is based on the idea that there is an optimal mix of interventions that will provide the greatest impact. Combination approa |
Pre-exposure prophylaxis (PrEP) aims to prevent acquisition of HIV through use of antiretroviral (ARV) agents before potential exposure to HIV. Sev |
Structural approaches reduce an individual’s vulnerability to HIV by creating the conditions in which people can adopt safer behaviors. For example |
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Due to the complexity of HIV prevention, both programmatic and policy-related interven |
HIV programs generally define abstinence as not engaging in sexual intercourse, delaying sexual debut, or, for those who have already been sexually |
Mass media interventions aim to prevent HIV by increasing knowledge, improving risk perception, changing sexual behaviors, and questioning potentia |
Technical Consultation Material
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February 2011, Ghana - Seventy participants from 11 countries with mixed epidemics in sub-Saharan Africa, members of the PEPFAR Technical |
February 2009, India - This meeting centered on a discussion of essential program dimensions that must be part of any effort to reach MARP
capacity building, commercial sex workers (CSWs), community engagement, community mobilization, concentrated epidemics, generalized epidemics, human rights, men who have sex with men (MSM), mixed epidemics, monitoring and evaluation (M&E), most-at-risk populations (MARPs), people who inject drugs (PWID), universal access
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Report
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This program review is a direct response to the urgent need to strengthen and expand HIV prevention for men who have sex with men and sex workers |
This document provides key findings for guiding programming for most-at-risk populations in mixed epidemic settings.
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