Estimating HIV Incidence, Time to Diagnosis, and the Undiagnosed HIV Epidemic Using Routine Surveillance Data.
BACKGROUND: Estimates of the size of the undiagnosed HIV-infected population are important to understand the HIV epidemic and to plan interventions, including "test-and-treat" strategies. METHODS: We developed a multi-state back-calculation model to estimate HIV incidence, time between infection and diagnosis, and the undiagnosed population by CD4 count strata, using surveillance data on new HIV and AIDS diagnoses. The HIV incidence curve was modelled using cubic splines. The model was tested on simulated data and applied to surveillance data on men who have sex with men in The Netherlands. RE... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2015 |
Verlag/Hrsg.: |
Ovid Technologies (Wolters Kluwer Health)
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Schlagwörter: | HIV Infections / Homosexuality / Male / Humans / Incidence / Models / Theoretical / Netherlands / Public Health Surveillance / Time Factors |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26828770 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://www.repository.cam.ac.uk/handle/1810/278883 |