Journal
MATHEMATICAL BIOSCIENCES
Volume 236, Issue 2, Pages 77-96Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.mbs.2012.02.003
Keywords
Tuberculosis; Epidemiological models; Transmission; Drug resistance; Treatment; Co-epidemics of HIV and tuberculosis
Categories
Funding
- NIH [R01LM009731]
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The resurgence of tuberculosis in the 1990s and the emergence of drug-resistant tuberculosis in the first decade of the 21st century increased the importance of epidemiological models for the disease. Due to slow progression of tuberculosis, the transmission dynamics and its long-term effects can often be better observed and predicted using simulations of epidemiological models. This study provides a review of earlier study on modeling different aspects of tuberculosis dynamics. The models simulate tuberculosis transmission dynamics, treatment, drug resistance, control strategies for increasing compliance to treatment, HIV/TB co-infection, and patient groups. The models are based on various mathematical systems, such as systems of ordinary differential equations, simulation models. and Markov Chain Monte Carlo methods. The inferences from the models are justified by case studies and statistical analysis of TB patient datasets. (C) 2012 Elsevier Inc. All rights reserved.
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