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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
HIV treatment as prevention: Principles of good HIV epidemiology modelling for public health decision-making in all modes of prevention and evaluation
PLoS Medicine, Volume 9, No. 7, Article e1001239, Year 2012
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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. © 2012 Delva et al.
Authors & Co-Authors
Delva, Wim
South Africa, Stellenbosch
Stellenbosch University
Wilson, David P.
Australia, Kensington
The Kirby Institute
Abu-Raddad, Laith J.
United States, Ithaca
Cornell University
United States, New York
Weill Cornell Medicine
United States, Seattle
Fred Hutchinson Cancer Research Center
Görgens, Marelize
United States, Washington, D.c.
The World Bank, Usa
Wilson, David W.
United States, Washington, D.c.
The World Bank, Usa
Hallett, Timothy B.
United Kingdom, London
Imperial College London
Welte, Alex
South Africa, Stellenbosch
Stellenbosch University
Statistics
Citations: 82
Authors: 7
Affiliations: 7
Identifiers
Doi:
10.1371/journal.pmed.1001239
ISSN:
15491277
e-ISSN:
15491676
Research Areas
Health System And Policy
Infectious Diseases