Literature DB >> 11744831

Amplification dynamics: predicting the effect of HIV on tuberculosis outbreaks.

T C Porco1, P M Small, S M Blower.   

Abstract

HIV affects the pathogenesis and the transmission of Mycobacterium tuberculosis. We used a discrete event simulation model to predict the potential impact of HIV on increasing the probability and the expected severity of tuberculosis outbreaks. Our predictions reveal that an HIV epidemic can significantly increase the frequency and severity of tuberculosis outbreaks, but that this amplification effect of HIV on tuberculosis outbreaks is very sensitive to the tuberculosis treatment rate. At moderate or low treatment rates, even a moderate HIV epidemic can cause the average size of tuberculosis outbreaks to almost double in comparison with the expected outbreak size when HIV is absent. However, we determined that the amplification effect of HIV can be substantially reduced if the treatment rate of tuberculosis is very high. We discuss the significant implications of these results for the global control of tuberculosis. Our results also reveal that occasionally a "normal-virulence" strain of M. tuberculosis can be expected to generate a large outbreak. We discuss the implications of these results in understanding the virulence of M. tuberculosis and in the planned elimination of tuberculosis in the United States.

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Year:  2001        PMID: 11744831     DOI: 10.1097/00042560-200112150-00005

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.731


  21 in total

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2.  Impact of enhanced tuberculosis diagnosis in South Africa: a mathematical model of expanded culture and drug susceptibility testing.

Authors:  David W Dowdy; Richard E Chaisson; Gary Maartens; Elizabeth L Corbett; Susan E Dorman
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3.  Modeling the joint epidemics of TB and HIV in a South African township.

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Journal:  J Math Biol       Date:  2008-04-15       Impact factor: 2.259

4.  HIV-tuberculosis coinfection in Southern California: evaluating disparities in disease burden.

Authors:  Timothy C Rodwell; Richard F W Barnes; Marisa Moore; Steffanie A Strathdee; Annie Raich; Kathleen S Moser; Richard S Garfein
Journal:  Am J Public Health       Date:  2010-02-10       Impact factor: 9.308

5.  Conceptualizing a model: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--2.

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Journal:  Value Health       Date:  2012 Sep-Oct       Impact factor: 5.725

6.  The association of access to medical care with regular source of care and sociodemographic characteristics in patients with HIV and tuberculosis.

Authors:  M Rosa Solorio; Steven M Asch; Denise Globe; William E Cunningham
Journal:  J Natl Med Assoc       Date:  2002-07       Impact factor: 1.798

7.  Coinfection Dynamics of Two Diseases in a Single Host Population.

Authors:  Daozhou Gao; Travis C Porco; Shigui Ruan
Journal:  J Math Anal Appl       Date:  2016-04-19       Impact factor: 1.583

8.  Prevention of nosocomial transmission of extensively drug-resistant tuberculosis in rural South African district hospitals: an epidemiological modelling study.

Authors:  Sanjay Basu; Jason R Andrews; Eric M Poolman; Neel R Gandhi; N Sarita Shah; Anthony Moll; Prashini Moodley; Alison P Galvani; Gerald H Friedland
Journal:  Lancet       Date:  2007-10-27       Impact factor: 79.321

9.  Quantitative impact of human immunodeficiency virus infection on tuberculosis dynamics.

Authors:  Kathryn DeRiemer; L Masae Kawamura; Philip C Hopewell; Charles L Daley
Journal:  Am J Respir Crit Care Med       Date:  2007-08-09       Impact factor: 21.405

10.  Cost-effective control of chronic viral diseases: finding the optimal level of screening and contact tracing.

Authors:  Benjamin Armbruster; Margaret L Brandeau
Journal:  Math Biosci       Date:  2010-01-04       Impact factor: 2.144

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