title: Progress and challenges in modelling country-level HIV/AIDS epidemics: the UNAIDS Estimation and Projection Package 2007.
abstract: The UNAIDS Estimation and Projection Package (EPP) was developed to aid in country-level estimation and short-term projection of HIV/AIDS epidemics. This paper describes advances reflected in the most recent update of this tool (EPP 2007), and identifies key issues that remain to be addressed in future versions. The major change to EPP 2007 is the addition of uncertainty estimation for generalised epidemics using the technique of Bayesian melding, but many additional changes have been made to improve the user interface and efficiency of the package. This paper describes the interface for uncertainty analysis, changes to the user interface for calibration procedures and other user interface changes to improve EPP's utility in different settings. While formal uncertainty assessment remains an unresolved challenge in low-level and concentrated epidemics, the Bayesian melding approach has been applied to provide analysts in these settings with a visual depiction of the range of models that may be consistent with their data. In fitting the model to countries with longer-running epidemics in sub-Saharan Africa, a number of limitations have been identified in the current model with respect to accommodating behaviour change and accurately replicating certain observed epidemic patterns. This paper discusses these issues along with their implications for future changes to EPP and to the underlying UNAIDS Reference Group model.
authors.affiliation: Population and Health Studies, East-West Center, Honolulu, HI, USA. tim@hawaii.edu
authors.forename: T
authors.initials: T
authors.lastname: Brown
authors.forename: J A
authors.initials: JA
authors.lastname: Salomon
authors.forename: L
authors.initials: L
authors.lastname: Alkema
authors.forename: A E
authors.initials: AE
authors.lastname: Raftery
authors.forename: E
authors.initials: E
authors.lastname: Gouws
mesh_terms: D004196:Disease Outbreaks / Q000706:statistics & numerical data*; D005544:Forecasting / Q000379:methods; D015658:HIV Infections / Q000453:epidemiology*; D006801:Humans; D015995:Prevalence; D014480:United Nations