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病毒性疾病的出现:数学建模作为感染控制、政策和决策制定的工具。

Emergence of viral diseases: mathematical modeling as a tool for infection control, policy and decision making.

机构信息

GMO office, Expertise Centre for Substances (SEC) of the National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.

出版信息

Crit Rev Microbiol. 2010 Aug;36(3):195-211. doi: 10.3109/10408411003604619.

Abstract

Mathematical modeling can be used for the development and implementation of infection control policy to combat outbreaks and epidemics of communicable viral diseases. Here an outline is provided of basic concepts and approaches used in mathematical modeling and parameterization of disease transmission. The use of mathematical models is illustrated, using the 2001 UK foot-and-mouth disease (FMD) epidemic, the 2003 global severe acute respiratory syndrome (SARS) epidemic, and human influenza pandemics, as examples. This provides insights in the strengths, limitations, and weaknesses of the various models, and demonstrates their potential for supporting policy and decision making.

摘要

数学建模可用于制定和实施感染控制政策,以对抗传染性病毒疾病的爆发和流行。本文概述了用于疾病传播的数学建模和参数化的基本概念和方法。使用 2001 年英国口蹄疫(FMD)疫情、2003 年全球严重急性呼吸综合征(SARS)疫情和人类流感大流行等实例来说明数学模型的应用。这提供了对各种模型的优势、限制和弱点的深入了解,并展示了它们在支持政策和决策方面的潜力。

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