Modeling homophily in dynamic networks with application to HIV molecular surveillance.

ABSTRACT:

Background

Efforts to control the HIV epidemic can benefit from knowledge of the relationships between the characteristics of people who have transmitted HIV and those who became infected by them. Investigation of this relationship is facilitated by the use of HIV genetic linkage analyses, which allows inference about possible transmission events among people with HIV infection. Two persons with HIV (PWH) are considered linked if the genetic distance between their HIV sequences is less than a given threshold, which implies proximity in a transmission network. The tendency of pairs of nodes (in our case PWH) that share (or differ in) certain attributes to be linked is denoted homophily. Below, we describe a novel approach to modeling homophily with application to analyses of HIV vir

SUBMITTER: DeGruttola V 

PROVIDER: S-EPMC10548762 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature