HIITE: HIV-1 incidence and infection time estimator | Zendy

Sung Yong Park | Zendy; Tanzy Love | Zendy; Shivankur Kapoor | Zendy; Ha Youn Lee | Zendy

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HIITE: HIV-1 incidence and infection time estimator

Author(s) -

Sung Yong Park,

Tanzy Love,

Shivankur Kapoor,

Ha Youn Lee

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty073

Subject(s) - incidence (geometry) , transmission (telecommunications) , population , medicine , infection control , demography , computer science , environmental health , intensive care medicine , telecommunications , physics , sociology , optics

Around 2.1 million new HIV-1 infections were reported in 2015, alerting that the HIV-1 epidemic remains a significant global health challenge. Precise incidence assessment strengthens epidemic monitoring efforts and guides strategy optimization for prevention programs. Estimating the onset time of HIV-1 infection can facilitate optimal clinical management and identify key populations largely responsible for epidemic spread and thereby infer HIV-1 transmission chains. Our goal is to develop a genomic assay estimating the incidence and infection time in a single cross-sectional survey setting.

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