Article

Modeling tuberculosis in areas of high HIV prevalence

Authors:

Georgina R. Hughes,

Christine S. M. Currie,

Elizabeth L. CorbettAuthors Info & Claims

WSC '06: Proceedings of the 38th conference on Winter simulation

Pages 459 - 465

Published: 03 December 2006 Publication History

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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Cited By

Kasaie PDowdy DKelton WHill RKuhl M(2013)An agent-based simulation of a tuberculosis epidemicProceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World10.5555/2675983.2676261(2227-2238)Online publication date: 8-Dec-2013
https://dl.acm.org/doi/10.5555/2675983.2676261
Mellor GCurrie CCorbett ECheng RTew J(2007)Targeted strategies for tuberculosis in areas of high HIV prevalenceProceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come10.5555/1351542.1351806(1487-1493)Online publication date: 9-Dec-2007
https://dl.acm.org/doi/10.5555/1351542.1351806

Modeling tuberculosis in areas of high HIV prevalence
1. Applied computing
  1. Life and medical sciences
2. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis

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Published In

cover image ACM Conferences

WSC '06: Proceedings of the 38th conference on Winter simulation

December 2006

2429 pages

ISBN:1424405017

Editors:
L. Felipe Perrone
Bucknell University
,
Barry G. Lawson
University of Richmond
,
Jason Liu
Colorado School of Mines
,
Frederick P. Wieland
Sensis Corporation
,
General Chair:
David Nicol
University of Illinois, Urbana-Champaign
,
Program Chair:
Richard Fujimoto
College of Computing, Georgia Tech

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IIE: Institute of Industrial Engineers
ASA: American Statistical Association
IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
IEEE-CS\DATC: The IEEE Computer Society
SIGSIM: ACM Special Interest Group on Simulation and Modeling
NIST: National Institute of Standards and Technology
(SCS): The Society for Modeling and Simulation International
INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation

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Winter Simulation Conference

Publication History

Published: 03 December 2006

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IIE
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IEICE ESS
IEEE-CS\DATC
SIGSIM
NIST
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INFORMS-CS

WSC06: Winter Simulation Conference 2006

December 3 - 6, 2006

California, Monterey

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WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

Kasaie PDowdy DKelton WHill RKuhl M(2013)An agent-based simulation of a tuberculosis epidemicProceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World10.5555/2675983.2676261(2227-2238)Online publication date: 8-Dec-2013
https://dl.acm.org/doi/10.5555/2675983.2676261
Mellor GCurrie CCorbett ECheng RTew J(2007)Targeted strategies for tuberculosis in areas of high HIV prevalenceProceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come10.5555/1351542.1351806(1487-1493)Online publication date: 9-Dec-2007
https://dl.acm.org/doi/10.5555/1351542.1351806

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