Modeling tuberculosis in areas of high HIV prevalence

We describe a discrete event simulation model of tuberculosis (TB) and HIV disease, parameterized to describe the dual epidemics in Harare, Zimbabwe. TB and HIV are the leading causes of death from infectious disease among adults worldwide and the number of TB cases has risen significantly since the...

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Bibliographic Details
Main Authors: Hughes, Georgina R., Currie, Christine S. M., Corbett, Elizabeth L.
Format: Conference Proceeding
Language:English
Subjects:
Applied computing
Applied computing > Life and medical sciences
Applied computing > Life and medical sciences > Consumer health
Applied computing > Life and medical sciences > Health informatics
Computing methodologies
Computing methodologies > Modeling and simulation
Computing methodologies > Modeling and simulation > Model development and analysis
Computing methodologies > Modeling and simulation > Model development and analysis > Modeling methodologies
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Summary:We describe a discrete event simulation model of tuberculosis (TB) and HIV disease, parameterized to describe the dual epidemics in Harare, Zimbabwe. TB and HIV are the leading causes of death from infectious disease among adults worldwide and the number of TB cases has risen significantly since the start of the HIV epidemic, particularly in Sub-Saharan Africa, where the HIV epidemic is most severe. There is a need to devise new strategies for TB control in countries with a high prevalence of HIV. This model has been designed to investigate strategies for reducing TB transmission by more efficient TB case detection. The model structure and its validation are discussed.
DOI:10.5555/1218112.1218200