食源性致病菌和抗菌药物耐药性在收获前的传播与控制的数学建模
Mathematical modeling of the transmission and control of foodborne pathogens and antimicrobial resistance at preharvest.
机构信息
Department of Population Medicine and Diagnostic Sciences, Cornell University , Ithaca, New York, USA.
出版信息
Foodborne Pathog Dis. 2011 Jan;8(1):1-10. doi: 10.1089/fpd.2010.0643. Epub 2010 Nov 2.
Abstract
Foodborne diseases are a significant health-care and economic burden. Most foodborne pathogens are enteric pathogens harbored in the gastrointestinal tract of farm animals. Understanding the transmission of foodborne pathogens and the dissemination of antimicrobial resistance at the farm level is necessary to design effective control strategies at preharvest. Mathematical models improve our understanding of pathogen dynamics by providing a theoretical framework in which factors affecting transmission and control of the pathogens can be explicitly considered. In this review, we aim to present the principles underlying the mathematical modeling of foodborne pathogens and antimicrobial resistance at the farm level to a broader audience.
摘要
食源性疾病是一个重大的医疗保健和经济负担。大多数食源性病原体是肠道病原体，存在于农场动物的胃肠道中。了解食源性病原体的传播和抗微生物药物耐药性在农场层面的传播对于设计收获前的有效控制策略是必要的。数学模型通过提供一个理论框架来提高我们对病原体动态的理解，在这个框架中，可以明确考虑影响病原体传播和控制的因素。在这篇综述中，我们旨在向更广泛的受众介绍农场层面食源性病原体和抗微生物药物耐药性的数学建模原理。
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