Assessing transmission attribution risk from simulated sequencing data in HIV molecular epidemiology

• Published in: AIDS (London) Vol. 38; no. 6; pp. 865 - 873
• Main Authors: Nascimento, Fabrícia F., Mehta, Sanjay R., Little, Susan J., Volz, Erik M.
• Format: Journal Article
• Language: English
• Published: Hagerstown, MD Lippincott Williams & Wilkins 01.05.2024
• Subjects: Epidemiology and Social; HIV Infections - epidemiology; Homosexuality, Male; Humans; Male; Molecular Epidemiology; Phylogeny; Probability; Sexual and Gender Minorities; molecular epidemiology; source attribution; phylogenetics; consensus sequences; HIV; next-generation sequencing

Background:HIV molecular epidemiology (ME) is the analysis of sequence data together with individual-level clinical, demographic, and behavioral data to understand HIV epidemiology. The use of ME has raised concerns regarding identification of the putative source in direct transmission events. This...