The uneven distribution of HIV risks and burdens across populations is a well-substantiated fact, though seldom publicly acknowledged. Gay men and other men who have sex with men, people who inject drugs, sex workers, and transgender women are 24, 24, 13.5, and 49 times more likely to acquire HIV, ...respectively, than other reproductive aged adults (15 years old and older). Globally, new infections among these key populations account for 45% of all new HIV infections. This figure is likely to be an underestimate, given the intense stigma associated with disclosing and reporting acquisition risks for HIV among gay men, people who use drugs, sex workers, and transgender people. In addition, HIV epidemics in the majority of low- and middle-income countries (90 of 120) have concentrated epidemics among key populations. In countries with more broadly generalized epidemics, risks are still not evenly distributed and key populations still shoulder disease burden that is markedly disproportionate.
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Subsidiarity guides people to establish relationships where they can make decisions, accomplish good work, and live their lives in a manner that respects human dignity
This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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This toolkit provides practical guidance to governments, funders, civil society organizations and other implementing partners on conducting a gender analysis and using findings to inform HIV prevention, care and treatment programs with key populations. It outlines considerations and steps for conduc...ting a gender analysis; explores how to engage with stakeholders, including key population members, in a meaningful partnership; shares lessons learned from a comprehensive gender analysis in Kenya and an abridged gender analysis in Cameroon; and provides tools and resources for conducting a gender analysis with key populations.
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A survey of prevention, testing and treatment policies and practices
Guidelines for the development and implementation of institution-specific protection concepts
Phiri et al. Human Resources for Health (2017) 15:40
DOI 10.1186/s12960-017-0214-3
Protecting children on the move from violence, abuse and exploitation
Pan African Medical Journal 2017;27:215. doi: 10.11604/pamj.2017.27.215.12994
The school and a community teaching modules are aimed at preventing vector-borne diseases through community participation. Meanwhile, the interactive toolkit is meant to be help raise awareness on health, sanitation and vector control. These materials will help volunteers and practitioners foster di...alogue with communities and ensure that prevention is seen as the primary way of combatting vector-borne diseases
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A Toolkit for Implementation. Module 2: Facilitator’s guide to the orientation workshop on the IFC framework;