Biology as population dynamics : heuristics for transmission risk

dc.contributor.authorKeebler, Daniel
dc.contributor.authorWalwyn, David Richard
dc.contributor.authorWelte, Alex
dc.date.accessioned2013-10-11T07:11:36Z
dc.date.available2014-02-28T00:20:05Z
dc.date.issued2013
dc.description.abstractPopulation-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.librarianhb2013en_US
dc.description.librarianay2013
dc.description.urihttp://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1600-0897en_US
dc.identifier.citationKeebler, 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.issn1046-7408 (print)
dc.identifier.issn1600-0897 (online)
dc.identifier.other10.1111/aji.12040
dc.identifier.urihttp://hdl.handle.net/2263/32017
dc.language.isoenen_US
dc.publisherWiley-Blackwellen_US
dc.rights© 2012 John Wiley & Sons A/S. The definite version is available at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1600-0897.en_US
dc.subjectHIV transmissionen_US
dc.subjectModellingen_US
dc.subject.lcshHIV (Viruses) -- Transmission -- South Africaen
dc.titleBiology as population dynamics : heuristics for transmission risken_US
dc.typePostprint Articleen_US

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