Multiple-Timescale Solutions to the Susceptible-Infected-Recovered (SIR) Epidemic Model Equations in the Case of High Basic Reproduction Number
Oleg B. Shiryaev

TL;DR
This paper develops multiple-timescale asymptotic solutions for the SIR epidemic model with a high basic reproduction number, providing explicit formulas for epidemic dynamics that align well with numerical simulations.
Contribution
It introduces a novel multiple-timescale asymptotic approach for high R0 in the SIR model, capturing epidemic peaks and plateaus explicitly.
Findings
Asymptotic solutions match numerical simulations accurately.
Explicit formulas for epidemic peak timing and magnitude.
Effective modeling of sharp outbreaks and prolonged plateaus.
Abstract
A class of multiple-timescale asymptotic solutions to the equations of the susceptible-infected-recovered (SIR) model is presented for the case of high basic reproduction number, with the inverse of the latter employed as the expansion parameter. High values of the basic reproduction number, a coefficient defined as the ratio of the infection and recovery rates built into the SIR model equations, are associated with escalating epidemics. Combinations of fast and slow timescales in the suggested multiple-timescale solutions prove adequate to reflect the acknowledged epidemic paradigm, which is characterized by the concatenation of a sharp outbreak with a subsequent protracted plateau. Explicit solutions for the numbers of the infected, susceptible, and recovered compartments of the SIR model are derived via the asymptotic treatment, and the epidemic peak timing and magnitude are…
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Taxonomy
TopicsMathematical and Theoretical Epidemiology and Ecology Models · COVID-19 epidemiological studies · Evolution and Genetic Dynamics
