Getting more from heterogeneous HIV-1 surveillance data in a high immigration country: estimation of incidence and undiagnosed population size using multiple biomarkers

Abstract excerpt

<h4>Background</h4> Most HIV infections originate from individuals who are undiagnosed and unaware of their infection. Estimation of this quantity from surveillance data is hard because there is incomplete knowledge about i) the time between infection and diagnosis (TI) for the general population and ii) the time between immigration and diagnosis for foreign-born persons. <h4>Development</h4> We developed a n...

Topics

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• Genetic Variation
• Genomics and Phylogenetic Studies
• HIV-1
• HIV/AIDS drug development and treatment
• HIV Infections
• HIV Research and Treatment
• Models, Theoretical
• Sequence Analysis, DNA

Identifiers and source

Literature Corpus work

3a262b38-a4a0-5844-8f47-775498a1771d

DOI

10.1101/345710