Extending Bayesian back-calculation to estimate age and time specific HIV incidence.

ABSTRACT: CD4-based multi-state back-calculation methods are key for monitoring the HIV epidemic, providing estimates of HIV incidence and diagnosis rates by disentangling their inter-related contribution to the observed surveillance data. This paper, extends existing approaches to age-specific settings, permitting the joint estimation of age- and time-specific incidence and diagnosis rates and the derivation of other epidemiological quantities of interest. This allows the identification of specific age-groups at higher risk of infection, which is crucial in directing public health interventions. We investigate, through simulation studies, the suitability of various bivariate splines for the non-parametric modelling of the latent age- and time-specific incidence and illustrate our method on routinel

SUBMITTER: Brizzi F 

PROVIDER: S-EPMC6776486 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature