Literature DB >> 19364158

The discounted reproductive number for epidemiology.

Timothy C Reluga1, Jan Medlock, Alison Galvani.   

Abstract

The basic reproductive number, R(0), and the effective reproductive number, R, are commonly used in mathematical epidemiology as summary statistics for the size and controllability of epidemics. However, these commonly used reproductive numbers can be misleading when applied to predict pathogen evolution because they do not incorporate the impact of the timing of events in the life-history cycle of the pathogen. To study evolution problems where the host population size is changing, measures like the ultimate proliferation rate must be used. A third measure of reproductive success, which combines properties of both the basic reproductive number and the ultimate proliferation rate, is the discounted reproductive number R(d). The discounted reproductive number is a measure of reproductive success that is an individual's expected lifetime offspring production discounted by the background population growth rate. Here, we draw attention to the discounted reproductive number by providing an explicit definition and a systematic application framework. We describe how the discounted reproductive number overcomes the limitations of both the standard reproductive numbers and proliferation rates, and show that R(d) is closely connected to Fisher's reproductive values for different life-history stages.

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Year:  2009        PMID: 19364158      PMCID: PMC3685506          DOI: 10.3934/mbe.2009.6.377

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


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4.  On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations.

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5.  Analogies Between Analogies. The Mathematical Reports of S. M. Ulam and His Los Alamos Collaborators. A. R. Bednarek and Francoise Ulam, Eds. University of California Press, Berkeley, 1990, xviii, 565 pp., illus. $60. Los Alamos Series in Basic and Applied Sciences, 10.

Authors:  K L
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6.  How should we define 'fitness' for general ecological scenarios?

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8.  A competitive exclusion principle for pathogen virulence.

Authors:  H J Bremermann; H R Thieme
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9.  Natural selection of life history attributes: an analytical approach.

Authors:  H M Taylor; R S Gourley; C E Lawrence; R S Kaplan
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