Concurrent partnerships and transmission dynamics in networks

Martina Morris*, Mirjam Kretzschmar

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

227 Citations (Scopus)


Network structure plays a critical role in channeling person-to-person transmission of infectious disease agents like HIV. Stochastic simulations are used here to examine the effect of two structural attributes: concurrent partnerships (degree) and mixing patterns (degree-based homophily bias). Four alternative partnership scenarios are compared: (1) sequential monogamy, and concurrent partnerships with (2) random (3) assortative and (4) disassortative mixing by degree. Concurrent partnerships are found to dramatically increase the speed and pervasiveness of epidemic spread, and the implications for HIV transmission are discussed.

Original languageEnglish
Pages (from-to)299-318
Number of pages20
JournalSocial Networks
Issue number3-4
Publication statusPublished - 1 Jan 1995


Dive into the research topics of 'Concurrent partnerships and transmission dynamics in networks'. Together they form a unique fingerprint.

Cite this