Modelling tuberculosis in areas of high HIV prevalence
Modelling 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 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.
1424405017
459-465
Hughe, Georgina R.
8d157b77-bd79-4be2-ae79-d798b0cf541c
Currie, C.S.M.
dcfd0972-1b42-4fac-8a67-0258cfdeb55a
Corbett, Elizabeth L.
57d73b40-1cac-43d4-90ef-23d6d0914e98
December 2006
Hughe, Georgina R.
8d157b77-bd79-4be2-ae79-d798b0cf541c
Currie, C.S.M.
dcfd0972-1b42-4fac-8a67-0258cfdeb55a
Corbett, Elizabeth L.
57d73b40-1cac-43d4-90ef-23d6d0914e98
Hughe, Georgina R., Currie, C.S.M. and Corbett, Elizabeth L.
(2006)
Modelling tuberculosis in areas of high HIV prevalence.
Perrone, L.F., Wieland, F.P., Liu, J., Lawson, B.G., Nicol, D.M. and Fujimoto, R.M.
(eds.)
In Proceedings of the Winter Simulation Conference, 2005.
IEEE.
.
(doi:10.1109/WSC.2006.323116).
Record type:
Conference or Workshop Item
(Paper)
Abstract
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.
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Published date: December 2006
Venue - Dates:
Winter Simulation Conference 2006, Orlando, United States, 2006-12-04 - 2006-12-04
Organisations:
Operational Research
Identifiers
Local EPrints ID: 43204
URI: http://eprints.soton.ac.uk/id/eprint/43204
ISBN: 1424405017
PURE UUID: bdc1bf33-3e72-4286-950e-03414100e030
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Date deposited: 17 Jan 2007
Last modified: 16 Mar 2024 03:30
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Contributors
Author:
Georgina R. Hughe
Author:
Elizabeth L. Corbett
Editor:
L.F. Perrone
Editor:
F.P. Wieland
Editor:
J. Liu
Editor:
B.G. Lawson
Editor:
D.M. Nicol
Editor:
R.M. Fujimoto
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