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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/580
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dc.contributor.authorSolomon, P.en
dc.contributor.authorWilson, S.en
dc.date.issued2001en
dc.identifier.citationThe Mathematical Scientist, 2001; 26:87-102en
dc.identifier.issn0312-3685en
dc.identifier.urihttp://hdl.handle.net/2440/580-
dc.description© Applied Probability Trust 2001en
dc.description.abstractThis paper gives an overview of the fundamental mathematical modelling and statistical procedures underlying the practices widely used in industrialised countries for predicting AIDS incidence and prevalence, as well as estimating past HIV incidence. Such predictions are needed for public health and insurance planning. In particular, we consider extrapolation forecasting, prediction of trends in small groups, stochastic epidemic modelling, backcalculation and multistage modelling.en
dc.description.statementofresponsibilityP. J. Solomon and S. R. Wilsonen
dc.language.isoenen
dc.publisherApplied Probability Trusten
dc.titleStatistical modelling and prediction associated with the HIV/AIDS epidemicen
dc.typeJournal articleen
dc.contributor.organisationCentre for the Molecular Genetics of Developmenten
pubs.publication-statusPublisheden
dc.identifier.orcidSolomon, P. [0000-0002-0667-6947]en
Appears in Collections:Applied Mathematics publications
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Centre for the Molecular Genetics of Development publications

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