HIV treatment as prevention: principles of good HIV epidemiology modelling for public health decision-making in all modes of prevention and evaluation.

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 translati...

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Autores principales:	Wim Delva, David P Wilson, Laith Abu-Raddad, Marelize Gorgens, David Wilson, Timothy B Hallett, Alex Welte
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R
Acceso en línea:	https://doaj.org/article/730ba82ab0954fcaab3e5507f0028acf
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spelling	oai:doaj.org-article:730ba82ab0954fcaab3e5507f0028acf2021-11-18T05:42:12ZHIV treatment as prevention: principles of good HIV epidemiology modelling for public health decision-making in all modes of prevention and evaluation.1549-12771549-167610.1371/journal.pmed.1001239https://doaj.org/article/730ba82ab0954fcaab3e5507f0028acf2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22802729/?tool=EBIhttps://doaj.org/toc/1549-1277https://doaj.org/toc/1549-1676Public 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 challenged by the differences in background and expectations of modellers and decision-makers. As part of the PLoS Medicine Collection "Investigating the Impact of Treatment 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.Wim DelvaDavid P WilsonLaith Abu-RaddadMarelize GorgensDavid WilsonTimothy B HallettAlex WeltePublic Library of Science (PLoS)articleMedicineRENPLoS Medicine, Vol 9, Iss 7, p e1001239 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R
spellingShingle	Medicine R Wim Delva David P Wilson Laith Abu-Raddad Marelize Gorgens David Wilson Timothy B Hallett Alex Welte HIV treatment as prevention: principles of good HIV epidemiology modelling for public health decision-making in all modes of prevention and evaluation.
description	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 challenged by the differences in background and expectations of modellers and decision-makers. As part of the PLoS Medicine Collection "Investigating the Impact of Treatment 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.
format	article
author	Wim Delva David P Wilson Laith Abu-Raddad Marelize Gorgens David Wilson Timothy B Hallett Alex Welte
author_facet	Wim Delva David P Wilson Laith Abu-Raddad Marelize Gorgens David Wilson Timothy B Hallett Alex Welte
author_sort	Wim Delva
title	HIV treatment as prevention: principles of good HIV epidemiology modelling for public health decision-making in all modes of prevention and evaluation.
title_short	HIV treatment as prevention: principles of good HIV epidemiology modelling for public health decision-making in all modes of prevention and evaluation.
title_full	HIV treatment as prevention: principles of good HIV epidemiology modelling for public health decision-making in all modes of prevention and evaluation.
title_fullStr	HIV treatment as prevention: principles of good HIV epidemiology modelling for public health decision-making in all modes of prevention and evaluation.
title_full_unstemmed	HIV treatment as prevention: principles of good HIV epidemiology modelling for public health decision-making in all modes of prevention and evaluation.
title_sort	hiv treatment as prevention: principles of good hiv epidemiology modelling for public health decision-making in all modes of prevention and evaluation.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/730ba82ab0954fcaab3e5507f0028acf
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HIV treatment as prevention: principles of good HIV epidemiology modelling for public health decision-making in all modes of prevention and evaluation.

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