Merging economics and epidemiology to improve the prediction and management of infectious disease.
Merging economics and epidemiology to improve the prediction and management of infectious disease.
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DOI：
10.1007/s10393-014-0963-6
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发表时间：
2014-12
期刊：
影响因子：
2.5
通讯作者：
Springborn, Michael
中科院分区：
文献类型：
--
作者：
Perrings, Charles;Castillo-Chavez, Carlos;Chowell, Gerardo;Daszak, Peter;Fenichel, Eli P.;Finnoff, David;Horan, Richard D.;Kilpatrick, A. Marm;Kinzig, Ann P.;Kuminoff, Nicolai V.;Levin, Simon;Morin, Benjamin;Smith, Katherine F.;Springborn, Michael
数学流行病学是数学生物学中最古老、最丰富的领域之一，它极大地增强了我们对病原体如何出现、进化和传播的理解。经典流行病学模型是预测和管理传染病传播的标准，它假设易感个体和传染个体之间的接触取决于他们在人群中的相对频率。行为因素是联系率的基础，一般没有解决。然而，有一类新兴的模型，解决了传染病动力学和行为决定驱动主机接触之间的反馈。这种方法被称为“经济流行病学”或“流行病学经济学”，它利用经济学的见解和方法，探讨了决定个人接触次数和类型的决定因素。我们展示了这种方法如何既有潜力改善对传染病病程的预测，又有潜力支持开发新的传染病管理方法。
Mathematical epidemiology, one of the oldest and richest areas in mathematical biology, has significantly enhanced our understanding of how pathogens emerge, evolve, and spread. Classical epidemiological models, the standard for predicting and managing the spread of infectious disease, assume that contacts between susceptible and infectious individuals depend on their relative frequency in the population. The behavioral factors that underpin contact rates are not generally addressed. There is, however, an emerging a class of models that addresses the feedbacks between infectious disease dynamics and the behavioral decisions driving host contact. Referred to as “economic epidemiology” or “epidemiological economics,” the approach explores the determinants of decisions about the number and type of contacts made by individuals, using insights and methods from economics. We show how the approach has the potential both to improve predictions of the course of infectious disease, and to support development of novel approaches to infectious disease management.
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影响因子：
9.8
作者：
BRITO, DL;SHESHINSKI, E;INTRILIGATOR, MD
通讯作者：
INTRILIGATOR, MD
影响因子：
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DOI：
10.1098/rsif.2007.1197
发表时间：
2008-06-06
期刊：
Journal of the Royal Society, Interface
影响因子：
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