Assessing the uncertainty around age-mixing patterns in HIV transmission inferred from phylogenetic trees.

ABSTRACT: Understanding age-mixing patterns in Human Immunodeficiency Virus (HIV) transmission networks can enhance the design and implementation of HIV prevention strategies in sub-Saharan Africa. Due to ethical consideration, it is less likely possible to conduct a benchmark study to assess which sampling strategy, and sub-optimal sampling coverage which can yield best estimates for these patterns. We conducted a simulation study, using phylogenetic trees to infer estimates of age-mixing patterns in HIV transmission, through the computation of proportions of pairings between men and women, who were phylogenetically linked across different age groups (15-24 years, 25-39 years, and 40-49 years); and the means, and standard deviations of their age difference. We investigated also the uncertainty arou

SUBMITTER: Niyukuri D 

PROVIDER: S-EPMC7993798 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature