Preprint Article Version 1 This version is not peer-reviewed

Near-Exact Analytical Solution of the Sir-Model for the Precise Temporal Dynamics of Epidemics

Version 1 : Received: 6 November 2024 / Approved: 7 November 2024 / Online: 7 November 2024 (10:37:30 CET)

How to cite: Kröger, M.; Schlickeiser, R. Near-Exact Analytical Solution of the Sir-Model for the Precise Temporal Dynamics of Epidemics. Preprints 2024, 2024110521. https://doi.org/10.20944/preprints202411.0521.v1 Kröger, M.; Schlickeiser, R. Near-Exact Analytical Solution of the Sir-Model for the Precise Temporal Dynamics of Epidemics. Preprints 2024, 2024110521. https://doi.org/10.20944/preprints202411.0521.v1

Abstract

A near-exact analytical solution of the statistical Susceptible-Infectious-Recovered (SIR) epidemics model for a constant ratio k0 of infection to recovery rates is derived. The derived solution is not of inverse form as the known solutions in the literature but expresses rather directly the three compartmental fractions S(τ ), I(τ ) and R(τ ) and thus the rate of new infections j(τ ) = S(τ )I(τ ) in terms of the single function U (τ ) and the reduced time τ (the time-integrated infection rate), involving the principal and non-principal branches of Lambert’s function. Exact analytical formulas for the peak time and the maximum fraction of I(τ ) are obtained proving that the rate of new infections peaks before the fraction of infected persons. Our analysis is not entirely analytically exact because the reduced time dependence of the function U (τ ) obeying a nonlinear integro-differential equation is only obtained approximately by expanding a double-exponential function to first-order at small reduced times, and employing an accurate simple approximation of the principal Lambert function at large times, respectively.

Keywords

coronavirus; statistical analysis; Covid-19; pandemic spreading; nonlinear differential equation

Subject

Computer Science and Mathematics, Applied Mathematics

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