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This article is cited in 1 scientific paper (total in 1 paper)
Recruitment Effects on the Evolution of Epidemics
in a Simple SIR Model
Gilberto Nakamuraab, Basil Grammaticosba, Mathilde Badoualab a Université Paris-Saclay, CNRS/IN2P3, IJCLab,
91405 Orsay, France
b Université de Paris, IJCLab,
91405 Orsay, France
Abstract:
We analyse the patterns of the current epidemic evolution in various countries with
the help of a simple SIR model. We consider two main effects: climate induced seasonality and
recruitment. The latter is introduced as a way to palliate for the absence of a spatial component
in the SIR model. In our approach we mimic the spatial evolution of the epidemic through a
gradual introduction of susceptible individuals.
We apply our model to the case of France and Australia and explain the appearance of two
temporally well-separated epidemic waves. We examine also Brazil and the USA, which present
patterns very different from those of the European countries. We show that with our model it is
possible to reproduce the observed patterns in these two countries thanks to simple recruitment
assumptions. Finally, in order to show the power of the recruitment approach, we simulate the
case of the 1918 influenza epidemic reproducing successfully the, by now famous, three epidemic
peaks.
Keywords:
epidemic, modelling, SIR model, seasonality, recruitment.
Received: 21.10.2020 Accepted: 09.03.2021
Citation:
Gilberto Nakamura, Basil Grammaticos, Mathilde Badoual, “Recruitment Effects on the Evolution of Epidemics
in a Simple SIR Model”, Regul. Chaotic Dyn., 26:3 (2021), 305–319
Linking options:
https://www.mathnet.ru/eng/rcd1117 https://www.mathnet.ru/eng/rcd/v26/i3/p305
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Abstract page: | 102 | References: | 22 |
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