HIV treatment as prevention: Principles of good HIV epidemiology modelling for public health decision-making in all modes of prevention and evaluation
Wim Delva,David Wilson,Laith J. Abu-Raddad,Laith J. Abu-Raddad,Marelize Gorgens,David Wilson,Timothy B. Hallett,Alex Welte +7 more
TLDR
It is hoped that the principles described here will become a shared resource that facilitates constructive discussions about the policy implications that emerge from HIV epidemiology modelling results, and that promotes joint understanding about when modelling is useful as a tool in quantifying HIV epidemiological outcomes and improving prevention programming.Abstract:
Public health responses to HIV epidemics have long relied on epidemiological modelling analyses to help prospectively project and retrospectively estimate the impact, cost-effectiveness, affordability, and investment returns of interventions, and to help plan the design of evaluations. But translating model output into policy decisions and implementation on the ground is chal- lenged by the differences in background and expectations of modellers and decision-makers. As part of the PLoS Medicine Collection ''Investigating the Impact of Treat- ment on New HIV Infections''—which focuses on the contribution of modelling to current issues in HIV prevention—we present here principles of ''best practice'' for the construction, reporting, and interpretation of HIV epidemiological models for public health decision-making on all aspects of HIV. Aimed at both those who conduct modelling research and those who use modelling results, we hope that the principles described here will become a shared resource that facilitates constructive discussions about the policy implications that emerge from HIV epidemiology modelling results, and that promotes joint understanding between modellers and decision-makers about when modelling is useful as a tool in quantifying HIV epidemiological outcomes and improving prevention programming.read more
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Phylogenetic inferences on HIV-1 transmission: implications for the design of prevention and treatment interventions.
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TL;DR: It is hoped that this article will provide a foundation upon which greater collaborations between disciplines will be formed, and will afford deeper insights into the key factors involved, to help strengthen the support for evidence-based decision-making in HIV prevention.
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Impact of treatment on hepatitis C virus transmission and incidence in Egypt: A case for treatment as prevention
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Malnutrition status and associated factors among HIV-positive patients enrolled in ART clinics in Zimbabwe
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TL;DR: Zimbabwe faces two types of nutritional disorders; undernutrition and overweight / obesity, in its HIV-infected population, both of which are associated with increased morbidity and mortality.
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