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2009, 6(2): 377-393. doi: 10.3934/mbe.2009.6.377

The discounted reproductive number for epidemiology

Timothy C. Reluga 1, , Jan Medlock 2, and  Alison Galvani 2,

1. 

Department of Mathematics, Pennsylvania State University, State College, PA 16802, United States
2. 

Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06520, United States, United States

Received  September 2008 Revised  November 2008 Published  March 2009

The basic reproductive number, $\Ro$, 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 $\mathcal{R}_d$. 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 $\mathcal{R}_d$ is closely connected to Fisher's reproductive values for different life-history stages.
Keywords: game theory., ultimate proliferation rate, reproductive number.
Mathematics Subject Classification: Primary: 92D15, 92D25; Secondary: 91A22, 91A4.
Citation: Timothy C. Reluga, Jan Medlock, Alison Galvani. The discounted reproductive number for epidemiology. Mathematical Biosciences & Engineering, 2009, 6 (2) : 377-393. doi: 10.3934/mbe.2009.6.377
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