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

Simple item page
dc.contributor.authorDelva, Wim
dc.contributor.authorWilson, David P.
dc.contributor.authorAbu-Raddad, Laith
dc.contributor.authorGorgens, Marelize
dc.contributor.authorWilson, David
dc.contributor.authorHallett, Timothy B.
dc.contributor.authorWelte, Alex
dc.date.accessioned2012-08-06T10:35:19Z
dc.date.available2012-08-06T10:35:19Z
dc.date.issued2012-07
dc.descriptionThe original publication is available at http://www.plosmedicine.orgen_ZA
dc.description.abstractPublic 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.en_ZA
dc.description.versionPublishers' Versionen_ZA
dc.format.extent7 p.
dc.identifier.citationDelva, W. et al. 2012. HIV treatment as prevention: principles of good HIV epidemiology modelling for public health decision-making in all modes of prevention and evaluation. PLoS Med, 9(7), e1001239, doi:10.1371/journal.pmed.1001239.en_ZA
dc.identifier.issn1549-1676 (online)
dc.identifier.issn1549-1277 (print)
dc.identifier.otherdoi:10.1371/journal.pmed.1001239
dc.identifier.urihttp://hdl.handle.net/10019.1/22016
dc.language.isoen_ZAen_ZA
dc.publisherPublic Library of Science (PLOS)en_ZA
dc.rights.holderAuthors retain the copyrighten_ZA
dc.subjectHIV infections -- Epidemiologyen_ZA
dc.subjectHIV infections -- Preventionen_ZA
dc.titleHIV treatment as prevention : principles of good HIV epidemiology modelling for public health decision- making in all modes of prevention and evaluationen_ZA
dc.typeArticleen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
delva_hiv_2012.pdf
Size:
106.46 KB
Format:
Adobe Portable Document Format
Description:
Publishers' Version
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.95 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Research Articles ((SACEMA) South African Centre for Epidemiological Modelling and Analysis )