1996
DOI: 10.1126/science.273.5274.497
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Control Strategies for Tuberculosis Epidemics: New Models for Old Problems

Abstract: Tuberculosis, although preventable and curable, causes more adult deaths than any other infectious disease. A theoretical framework for designing effective control strategies is developed and used to determine treatment levels for eradication, to assess the effects of noneradicating control, and to examine the global goals of the World Health Organization. The theory is extended to assess how suboptimal control programs contribute to the evolution of drug resistance. A new evaluation criterion is defined and u… Show more

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Cited by 287 publications
(200 citation statements)
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“…Mathematical models have been used to project the effect of treating latent TB infections in populations with (22,(33)(34)(35)(36)(37) and without concurrent HIV epidemics (19,38). We have extended these models to evaluate the potential impact of programs for community-wide IPT on the dynamics of drug-resistant TB.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Mathematical models have been used to project the effect of treating latent TB infections in populations with (22,(33)(34)(35)(36)(37) and without concurrent HIV epidemics (19,38). We have extended these models to evaluate the potential impact of programs for community-wide IPT on the dynamics of drug-resistant TB.…”
Section: Discussionmentioning
confidence: 99%
“…To assess the impact of community-wide IPT on the dynamics of drug-resistant TB, we constructed a simple deterministic model of TB transmission based on a structure previously developed for the evaluation of control policies (19)(20)(21)(22)(23). The TB infection process was linked to a dynamic model of HIV transmission, and the model thus included interacting subpopulations of HIV-infected and noninfected individuals.…”
Section: Modelmentioning
confidence: 99%
“…We developed an age-structured mathematical model similar to previous TB models (11)(12)(13)(14) described by a series of differential equations (Fig. 1, SI Appendix, and SI Technical Appendix).…”
Section: Methodsmentioning
confidence: 99%
“…Although other groups have modeled potential effects of new technologies (7)(8)(9)(10), none has specifically assessed and compared the benefits of the vaccines, drug regimens, and diagnostics under development. Here, we report on research using a mathematical model of TB transmission based on previous TB models (11)(12)(13)(14) to investigate potential epidemiological benefits of the novel interventions (Fig. 1).…”
mentioning
confidence: 99%
“…Mathematical modeling has proven a valuable tool for understanding TB dynamics (Blower et al, 1995;Vynnycky and Fine, 1997;Feng et al, 2000;Singer and Kirschner, 2004) and has served as the basis for establishing control targets and assessing policy strategies (Blower et al, 1996;Dye et al, 1998;Cohen et al, 2006). However, most such models, with occasional exceptions (Schinazi, 1999), have been differential equation susceptible-exposed-infected-recovered (SEIR) models that assume a homogenously mixed population.…”
Section: Introductionmentioning
confidence: 99%