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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

(2012) PLOS MEDICINE. 9(7).
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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.
Keywords
SOUTH-AFRICA, UNITED-STATES, MATHEMATICAL-MODELS, DISEASE TRANSMISSION, SUB-SAHARAN AFRICA, COST-EFFECTIVENESS, ANTIRETROVIRAL TREATMENT, IMPACT, VACCINES, INTERVENTIONS

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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 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.
@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 "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.},
  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},
  keywords     = {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},
}

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