Improvements in prevalence trend fitting and incidence estimation in EPP 2013

Tim Brown, Le Bao, Jeffrey W. Eaton, Daniel R. Hogan, Mary Mahy, Kimberly Marsh, Bradley M. Mathers, Robert Puckett

Research output: Contribution to journalReview articlepeer-review

40 Scopus citations

Abstract

Objective: Describe modifications to the latest version of the Joint United Nations Programme on AIDS (UNAIDS) Estimation and Projection Package component of Spectrum (EPP 2013) to improve prevalence fitting and incidence trend estimation in national epidemics and global estimates of HIV burden.

Methods:

Results: The revised models in EPP 2013 allow closer fits to observed prevalence trend data and reflect improving understanding of HIV epidemics and associated data.

Conclusion: Spectrum and EPP continue to adapt to make better use of the existing data sources, incorporate new sources of information in their fitting and validation procedures, and correct for quantifiable biases in inputs as they are identified and understood. These adaptations provide countries with better calibrated estimates of incidence and prevalence, which increase epidemic understanding and provide a solid base for program and policy planning.

Original languageEnglish (US)
Pages (from-to)S415-S425
JournalAIDS
Volume28
DOIs
StatePublished - Nov 11 2014

All Science Journal Classification (ASJC) codes

  • Immunology and Allergy
  • Immunology
  • Infectious Diseases

Fingerprint

Dive into the research topics of 'Improvements in prevalence trend fitting and incidence estimation in EPP 2013'. Together they form a unique fingerprint.

Cite this