Modelling sexually transmitted infections: the effect of partnership activity and number of partners on R0.

Abstract

We model a sexually transmitted infection in a network population where individuals have different numbers of partners, separated into steady and casual partnerships, where the risk of transmission is higher in steady partnerships. An individual's number of partners of the two types defines its degree, and the degrees in the community specify the degree… (More)

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