Approximate Solutions of the RSIR Model of COVID-19 Pandemic - Computer Science Protecting Human Society Against Epidemics
Conference Papers Year : 2021

Approximate Solutions of the RSIR Model of COVID-19 Pandemic

Abstract

The Reduced SIR (RSIR) model of COVID-19 pandemic based on a two-parameter nonlinear first-order ordinary differential equation with retarded time argument is developed. An algorithm aimed to forecast the COVID-19 pandemic development by approximate solution of RSIR model is proposed. The input data for this algorithm are the cumulative numbers of infected people on three dates (e.g., today, a week ago, and two weeks ago).

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Computer Science [cs]
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Submitted on : Friday, August 5, 2022-5:08:06 PM

Last modification on : Monday, May 27, 2024-2:46:13 PM

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hal-03746667 , version 1 (05-08-2022)

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F. M. Pen’kov, V. L. Derbov, G. Chuluunbaatar, A. A. Gusev, S. I. Vinitsky, et al.. Approximate Solutions of the RSIR Model of COVID-19 Pandemic. 1st International Conference on Computer Science Protecting Human Society Against Epidemics (ANTICOVID), Jun 2021, Virtual, Poland. pp.53-64, ⟨10.1007/978-3-030-86582-5_6⟩. ⟨hal-03746667⟩

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