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Modelling HIV epidemics in the antiretroviral era: the UNAIDS Estimation and Projection package 2009
  1. Tim Brown1,
  2. Le Bao2,
  3. Adrian E Raftery2,
  4. Joshua A Salomon3,
  5. Rebecca F Baggaley4,
  6. John Stover5,
  7. Patrick Gerland6
  1. 1Population and Health Studies, East-West Center, Honolulu, Hawaii, USA
  2. 2Department of Statistics, University of Washington, Seattle, Washington, USA
  3. 3Harvard School of Public Health, Boston, Massachusetts, USA
  4. 4Department of Infectious Disease Epidemiology, Imperial College London, London, UK
  5. 5Futures Institute, Glastonbury, Connecticut, USA
  6. 6Population Division, Department of Economic and Social Affairs, New York, New York, USA
  1. Correspondence to Tim Brown, Population and Health Studies, East-West Center, 1601 East-West Road, Honolulu, HI 96848, USA; tim{at}hawaii.edu

Footnotes

  • Funding The authors acknowledge the support of UNAIDS for the ongoing development of EPP and Spectrum. National Institute of Child Health and Development grant no. R01 HD054511 supported the development of the uncertainty estimation methodologies in EPP.

  • Competing interests None.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • We wish to make clear that the examples used here are illustrative in nature only. They may differ from actual national projections in the countries referenced, as they do not necessarily incorporate all data and information available at the country level. The views and opinions expressed in this paper are those of the authors and do not necessarily represent those of the United Nations. Its contents have not been formally edited or cleared by the United Nations.

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Footnotes

  • Funding The authors acknowledge the support of UNAIDS for the ongoing development of EPP and Spectrum. National Institute of Child Health and Development grant no. R01 HD054511 supported the development of the uncertainty estimation methodologies in EPP.

  • Competing interests None.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • We wish to make clear that the examples used here are illustrative in nature only. They may differ from actual national projections in the countries referenced, as they do not necessarily incorporate all data and information available at the country level. The views and opinions expressed in this paper are those of the authors and do not necessarily represent those of the United Nations. Its contents have not been formally edited or cleared by the United Nations.

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