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Modelling infectious disease transmission with complex exposure pattern and sparse outcome data

Reilly, Marie; Salim, Agus; Lawlor, Emer; Smith, Owen; Temperley, Ian; Pawitan, Yudi


We present a regression modelling framework to analyse infectious disease transmission during a time period where extensive exposure data are available, but where the outcome data are sparse. A latent variable model is used for each exposure time, allowing a straight-forward accumulation of risk for a collection of exposures for which outcome data are available. We describe an analysis of HIV infection from blood products among a cohort of haemophiliacs in Ireland between 1980 and 1985. The...[Show more]

CollectionsANU Research Publications
Date published: 2004
Type: Journal article
Source: Statistics in Medicine
DOI: 10.1002/sim.1881


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