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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

Wim Delva UGent, David P Wilson, Laith Abu-Raddad, Marelize Gorgens, David Wilson, Timothy B Hallett and Alex Welte (2012) PLOS MEDICINE. 9(7).
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 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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (review)
publication status
published
subject
keyword
SOUTH-AFRICA, UNITED-STATES, MATHEMATICAL-MODELS, DISEASE TRANSMISSION, SUB-SAHARAN AFRICA, COST-EFFECTIVENESS, ANTIRETROVIRAL TREATMENT, IMPACT, VACCINES, INTERVENTIONS
journal title
PLOS MEDICINE
PLos Med.
volume
9
issue
7
article_number
e1001239
pages
7 pages
Web of Science type
Review
Web of Science id
000307106400003
JCR category
MEDICINE, GENERAL & INTERNAL
JCR impact factor
15.253 (2012)
JCR rank
5/149 (2012)
JCR quartile
1 (2012)
ISSN
1549-1676
DOI
10.1371/journal.pmed.1001239
language
English
UGent publication?
no
classification
A1
copyright statement
I have retained and own the full copyright for this publication
id
3002888
handle
http://hdl.handle.net/1854/LU-3002888
date created
2012-10-01 10:23:12
date last changed
2013-07-19 13:50:08
@article{3002888,
  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 challenged by the differences in background and expectations of modellers and decision-makers. As part of the PLoS Medicine Collection {\textacutedbl}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 {\textacutedbl}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.},
  articleno    = {e1001239},
  author       = {Delva, Wim and Wilson, David P and Abu-Raddad, Laith and Gorgens, Marelize and Wilson, David and Hallett, Timothy B and Welte, Alex},
  issn         = {1549-1676},
  journal      = {PLOS MEDICINE},
  keyword      = {SOUTH-AFRICA,UNITED-STATES,MATHEMATICAL-MODELS,DISEASE TRANSMISSION,SUB-SAHARAN AFRICA,COST-EFFECTIVENESS,ANTIRETROVIRAL TREATMENT,IMPACT,VACCINES,INTERVENTIONS},
  language     = {eng},
  number       = {7},
  pages        = {7},
  title        = {HIV treatment as prevention: principles of good HIV epidemiology modelling for public health decision-making in all modes of prevention and evaluation},
  url          = {http://dx.doi.org/10.1371/journal.pmed.1001239},
  volume       = {9},
  year         = {2012},
}

Chicago
Delva, Wim, David P Wilson, Laith Abu-Raddad, Marelize Gorgens, David Wilson, Timothy B Hallett, and Alex Welte. 2012. “HIV Treatment as Prevention: Principles of Good HIV Epidemiology Modelling for Public Health Decision-making in All Modes of Prevention and Evaluation.” Plos Medicine 9 (7).
APA
Delva, W., Wilson, D. P., Abu-Raddad, L., Gorgens, M., Wilson, D., Hallett, T. B., & Welte, A. (2012). HIV treatment as prevention: principles of good HIV epidemiology modelling for public health decision-making in all modes of prevention and evaluation. PLOS MEDICINE, 9(7).
Vancouver
1.
Delva W, Wilson DP, Abu-Raddad L, Gorgens M, Wilson D, Hallett TB, et al. HIV treatment as prevention: principles of good HIV epidemiology modelling for public health decision-making in all modes of prevention and evaluation. PLOS MEDICINE. 2012;9(7).
MLA
Delva, Wim, David P Wilson, Laith Abu-Raddad, et al. “HIV Treatment as Prevention: Principles of Good HIV Epidemiology Modelling for Public Health Decision-making in All Modes of Prevention and Evaluation.” PLOS MEDICINE 9.7 (2012): n. pag. Print.