Biology as population dynamics : heuristics for transmission risk

Show simple item record Keebler, Daniel Walwyn, David Richard Welte, Alex 2013-10-11T07:11:36Z 2014-02-28T00:20:05Z 2013
dc.description.abstract Population-type models, accounting for phenomena such as population lifetimes, mixing patterns, recruitment patterns, genetic evolution and environmental conditions, can be usefully applied to the biology of HIV infection and viral replication. A simple dynamic model can explore the effect of a vaccine-like stimulus on the mortality and infectiousness, which formally looks like fertility, of invading virions; the mortality of freshly infected cells; and the availability of target cells, all of which impact on the probability of infection. Variations on this model could capture the importance of the timing and duration of different key events in viral transmission, and hence be applied to questions of mucosal immunology. The dynamical insights and assumptions of such models are compatible with the continuum of between- and within-individual risks in sexual violence and may be helpful in making sense of the sparse data available on the association between HIV transmission and sexual violence. en_US
dc.description.librarian hb2013 en_US
dc.description.librarian ay2013
dc.description.uri en_US
dc.identifier.citation Keebler, D, Walwyn, DR & Welte A 2013, 'Biology as population dynamics : heuristics for transmission risk', American Journal of Reproductive Immunology, vol. 69, Suppl. 1, pp. 88-94. en_US
dc.identifier.issn 1046-7408 (print)
dc.identifier.issn 1600-0897 (online)
dc.identifier.other 10.1111/aji.12040
dc.language.iso en en_US
dc.publisher Wiley-Blackwell en_US
dc.rights © 2012 John Wiley & Sons A/S. The definite version is available at en_US
dc.subject HIV transmission en_US
dc.subject Modelling en_US
dc.subject.lcsh HIV (Viruses) -- Transmission -- South Africa en
dc.title Biology as population dynamics : heuristics for transmission risk en_US
dc.type Postprint Article en_US

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