Unknown

Dataset Information

Gender asymmetry in concurrent partnerships and HIV prevalence.


ABSTRACT: The structure of the sexual network of a population plays an essential role in the transmission of HIV. Concurrent partnerships, i.e. partnerships that overlap in time, are important in determining this network structure. Men and women may differ in their concurrent behavior, e.g. in the case of polygyny where women are monogamous while men may have concurrent partnerships. Polygyny has been shown empirically to be negatively associated with HIV prevalence, but the epidemiological impacts of other forms of gender-asymmetric concurrency have not been formally explored. Here we investigate how gender asymmetry in concurrency, including polygyny, can affect the disease dynamics. We use a model for a dynamic network where individuals may have concurrent partners. The maximum possible number of

SUBMITTER: Leung KY 

PROVIDER: S-EPMC5474364 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature