...
首页> 外文期刊>Journal of Clinical Microbiology >Potential of Rapid Diagnosis for Controlling Drug-Susceptible and Drug-Resistant Tuberculosis in Communities Where Mycobacterium tuberculosis Infections Are Highly Prevalent
【24h】

Potential of Rapid Diagnosis for Controlling Drug-Susceptible and Drug-Resistant Tuberculosis in Communities Where Mycobacterium tuberculosis Infections Are Highly Prevalent

机译:在结核分枝杆菌感染高度流行的社区中,快速诊断对控制药物敏感性和耐药性结核病的潜力

获取原文
           

摘要

The long-term persistence of Mycobacterium tuberculosis in communities with high tuberculosis prevalence is a serious problem aggravated by the presence of drug-resistant tuberculosis strains. Drug resistance in an individual patient is often discovered only after a long delay, particularly if the diagnosis is based on current culture-based drug sensitivity testing methods. During such delays, the patient may transmit tuberculosis to his or her contacts. Rapid diagnosis of drug resistance would be expected to reduce this transmission and hence to decrease the prevalence of drug-resistant strains. To investigate this quantitatively, a mathematical model was constructed, assuming a homogeneous population structure typical of communities in South Africa where tuberculosis incidence is high. Computer simulations performed with this model showed that current control strategies will not halt the spread of multidrug-resistant tuberculosis in such communities. The simulations showed that the rapid diagnosis of drug resistance can be expected to reduce the incidence of drug-resistant cases provided the additional measure of screening within the community is implemented.
机译:在结核病高发地区,结核分枝杆菌的长期存在是一个严重的问题,耐药菌菌株的存在加剧了这一问题。通常仅在很长的延迟之后才发现单个患者的耐药性,特别是如果诊断基于当前基于培养物的药物敏感性测试方法,则尤其如此。在此类延误期间,患者可能会将结核病传播到他或她的接触者。对耐药性的快速诊断有望减少这种传播,从而减少耐药菌株的流行。为了对此进行定量研究,我们建立了一个数学模型,假设结核病发病率很高的南非社区的典型人口结构是同质的。用该模型进行的计算机模拟表明,当前的控制策略不会阻止这种地区的耐多药结核病的传播。模拟结果表明,只要在社区内实施其他筛查措施,对耐药性的快速诊断就有望减少耐药性病例的发生。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号