Understanding, predicting and controlling the emergence of drug-resistant tuberculosis: a theoretical framework

被引:91
|
作者
Blower, SM
Gerberding, JL
机构
[1] Univ Calif San Francisco, Dept Microbiol & Immunol, San Francisco, CA 94143 USA
[2] Univ Calif San Francisco, Dept Med, San Francisco, CA 94143 USA
来源
JOURNAL OF MOLECULAR MEDICINE-JMM | 1998年 / 76卷 / 09期
基金
美国国家卫生研究院;
关键词
drug resistance; transmission; mathematical model;
D O I
10.1007/s001090050260
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The high prevalence of tuberculosis in developing countries and the recent resurgence of tuberculosis in many developed countries suggests that current control strategies are suboptimal. The increase in drug-resistant cases exacerbates the control problems. Currently employed epidemic control strategies are not devised on the basis of a theoretical understanding of the transmission dynamics of Mycobacterium tuberculosis. We describe and discuss a theoretical framework based upon mathematical transmission models that can be used for understanding, predicting, and controlling tuberculosis epidemics. We illustrate how the theoretical framework can be used to predict the temporal dynamics of the emergence of drug resistance, to predict the epidemiological consequences of epidemic control strategies in developing and developed countries, and to design epidemic control strategies.
引用
收藏
页码:624 / 636
页数:13
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