Description
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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Title
- Merging Economics and Epidemiology to Improve the Prediction and Management of Infectious Disease
Contributors
- Perrings, Charles (Author)
- Castillo-Chavez, Carlos (Author)
- Chowell-Puente, Gerardo (Author)
- Daszak, Peter (Author)
- Fenichel, Eli P. (Author)
- Finnoff, David (Author)
- Horan, Richard D. (Author)
- Kilpatrick, A. Marm (Author)
- Kinzig, Ann (Author)
- Kuminoff, Nicolai (Author)
- Levin, Simon (Author)
- Morin, Benjamin (Author)
- Smith, Katherine F. (Author)
- Springborn, Michael (Author)
- Simon M. Levin Mathematical, Computational and Modeling Sciences Center (Contributor)
- College of Liberal Arts and Sciences (Contributor)
- School of Life Sciences (Contributor)
- School of Human Evolution and Social Change (Contributor)
- W.P. Carey School of Business (Contributor)
- Economics (Contributor)
- Julie Ann Wrigley Global Institute of Sustainability (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2015-12-01
Resource Type
Collections this item is in
Identifier
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Digital object identifier: 10.1007/s10393-014-0963-6
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Identifier TypeInternational standard serial numberIdentifier Value1612-9202
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Identifier TypeInternational standard serial numberIdentifier Value1612-9210
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Cite this item
This is a suggested citation. Consult the appropriate style guide for specific citation guidelines.
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 (2015). Merging Economics and Epidemiology to Improve the Prediction and Management of Infectious Disease. ECOHEALTH, 11(4), 464-475. http://dx.doi.org/10.1007/s10393-014-0963-6