1. Extending Bayesian back-calculation to estimate age and time specific HIV incidence.
- Author
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Brizzi, Francesco, Birrell, Paul J., Plummer, Martyn T., Kirwan, Peter, Brown, Alison E., Delpech, Valerie C., Gill, O. Noel, and De Angelis, Daniela
- Subjects
BISEXUAL men ,HIV ,GAY men ,SPLINES - 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 routinely collected data from the HIV epidemic among gay and bisexual men in England and Wales. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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