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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Main Authors:	Delva, Wim, Wilson, David P., Abu-Raddad, Laith, Gorgens, Marelize, Wilson, David
Format:	Journal Article
Language:	en_US
Published:	Public Library of Science 2015
Subjects:	HIV prevention HIV epidemiology health evaluation
Online Access:	http://hdl.handle.net/10986/23210

id	okr-10986-23210
recordtype	oai_dc
spelling	okr-10986-232102021-04-23T14:04:13Z HIV Treatment as Prevention : Principles of Good HIV Epidemiology Modelling for Public Health Decision- Making in All Modes of Prevention and Evaluation Delva, Wim Wilson, David P. Abu-Raddad, Laith Gorgens, Marelize Wilson, David HIV prevention HIV epidemiology health 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 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. 2015-12-03T22:33:44Z 2015-12-03T22:33:44Z 2012-07-10 Journal Article PLoS Medicine http://hdl.handle.net/10986/23210 en_US CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank Public Library of Science Publications & Research :: Journal Article Publications & Research
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	en_US
topic	HIV prevention HIV epidemiology health evaluation
spellingShingle	HIV prevention HIV epidemiology health evaluation Delva, Wim Wilson, David P. Abu-Raddad, Laith Gorgens, Marelize Wilson, David 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	Journal Article
author	Delva, Wim Wilson, David P. Abu-Raddad, Laith Gorgens, Marelize Wilson, David
author_facet	Delva, Wim Wilson, David P. Abu-Raddad, Laith Gorgens, Marelize Wilson, David
author_sort	Delva, Wim
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
publishDate	2015
url	http://hdl.handle.net/10986/23210
_version_	1764453210982973440

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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