Understanding the spread of antibiotic resistant pathogens in hospitals: Mathematical models as tools for control
Understanding the spread of antibiotic resistant pathogens in hospitals: Mathematical models as tools for control
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DOI：
10.1086/323761
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发表时间：
2001-11-15
影响因子：
11.8
通讯作者：
Lipsitch, M
中科院分区：
文献类型：
--
作者：
Bonten, MJM;Austin, DJ;Lipsitch, M
随着微生物对抗菌药物的耐药性越来越强，有效的感染控制措施将变得越来越重要。然而，尽管有多项关于感染预防的研究，但关于感染控制策略各个方面的定量影响的数据却很少。流行病学监测、分子基因分型、依从性观察研究和数学模型的结合可以提高我们确定个体感染控制措施的定量效果的能力。这可能有助于设计更有效的感染控制计划。在这项研究中，我们回顾了几个已发表的模型，并推测数学模型对于改善感染预防的有用性。
As microorganisms become more resistant to antimicrobial agents, effective infection control measures will become increasingly important. However, despite multiple studies on infection prevention, few data exist on the quantitative effects of the individual aspects of infection control strategies. The combination of epidemiologic surveillance, molecular genotyping, observational studies on compliance, and mathematical modeling may improve our ability to determine the quantitative effects of individual infection control measures. This may help to design more effective infection control programs. In this study, we review several of the models that have been published and speculate on the usefulness of mathematical modeling for improving the prevention of infection.