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Mathematical Models in Epidemiology pp 429–455Cite as

Disease Transmission Models with Age Structure

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Part of the book series: Texts in Applied Mathematics ((TAM,volume 69))

Abstract

Age is one of the most important characteristics in the modeling of populations and infectious diseases. Because age groups frequently mix heterogeneously it may be appropriate to include age structure in epidemiological models. While there are other aspects of heterogeneity in disease transmission models, such as behavioral and spatial heterogeneity, age structure is one of the most important aspects of heterogeneity in disease modeling.

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Change history

  • 15 December 2019

    The book was inadvertently published with the following errors in Chaps. 5 and 13. The same has now been corrected in the book.

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Author information

Authors and Affiliations

  1. Department of Mathematics, University of British Columbia, Vancouver, BC, Canada

    Fred Brauer

  2. Mathematical and Computational Modeling Center (MCMSC), Department of Mathematics and Statistics, Arizona State University, Tempe, AZ, USA

    Carlos Castillo-Chavez

  3. Department of Mathematics, Purdue University, West Lafayette, IN, USA

    Zhilan Feng

Authors
  1. Fred Brauer
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  2. Carlos Castillo-Chavez
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  3. Zhilan Feng
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Brauer, F., Castillo-Chavez, C., Feng, Z. (2019). Disease Transmission Models with Age Structure. In: Mathematical Models in Epidemiology. Texts in Applied Mathematics, vol 69. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-9828-9_13

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