Mathematical epidemiology is not an oxymoron

Fred Brauer

doi:10.1186/1471-2458-9-S1-S2

Mathematical epidemiology is not an oxymoron

Fred Brauer

Mathematical Computational Modeling Sciences Center, Simon A. Levin (MCMSC)

Research output: Contribution to journal › Review article › peer-review

29 Scopus citations

Abstract

A brief description of the importance of communicable diseases in history and the development of mathematical modelling of disease transmission is given. This includes reasons for mathematical modelling, the history of mathematical modelling from the foundations laid in the late nineteenth century to the present, some of the accomplishments of mathematical modelling, and some challenges for the future. Our purpose is to demonstrate the importance of mathematical modelling for the understanding and management of infectious disease transmission.

Original language	English (US)
Article number	S2
Journal	BMC public health
Volume	9
Issue number	SUPPL. 1
DOIs	https://doi.org/10.1186/1471-2458-9-S1-S2
State	Published - 2009

ASJC Scopus subject areas

Public Health, Environmental and Occupational Health

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10.1186/1471-2458-9-S1-S2

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Mathematical epidemiology is not an oxymoron

Abstract

ASJC Scopus subject areas

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