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.
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- Digital object identifier: 10.1007/s10393-014-0963-6
- Identifier TypeInternational standard serial numberIdentifier Value1612-9202
- Identifier TypeInternational standard serial numberIdentifier Value1612-9210
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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