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The Basic Reproduction Number

The Basic Reproduction Number

Copyright: © 2023 |Pages: 43
ISBN13: 9781799883432|ISBN10: 1799883434|ISBN13 Softcover: 9781668478844|EISBN13: 9781799883449
DOI: 10.4018/978-1-7998-8343-2.ch002
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MLA

Abraham Varghese, et al. "The Basic Reproduction Number." Controlling Epidemics With Mathematical and Machine Learning Models, IGI Global, 2023, pp.13-55. https://doi.org/10.4018/978-1-7998-8343-2.ch002

APA

A. Varghese, E. Lacap, Jr., I. Sajath, M. Kumar, & S. Kolamban (2023). The Basic Reproduction Number. IGI Global. https://doi.org/10.4018/978-1-7998-8343-2.ch002

Chicago

Abraham Varghese, et al. "The Basic Reproduction Number." In Controlling Epidemics With Mathematical and Machine Learning Models. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-7998-8343-2.ch002

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Abstract

The reproduction number is an important tool in infectious disease epidemiology that conveys both the present status of the disease and the likelihood of it persisting in the future. Next-generation matrices (NGMs) serve as a natural basis for defining and calculating the categories of individuals that can be recognized. The purpose of this chapter is to give details on the construction of NGM matrix with the consideration of different types of compartmental models that can be used in the analysis of the COVID-19 disease. The goal in this chapter is to provide a complete detailed procedure on how to construct a NGM simply by starting with the model specifications. Within this chapter, the authors define how to find the salient features of the NGM based on the three domains: NGM with a large domain, NGM with a small domain, and NGM with a classical domain.

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