Modeling social distancing and “spontaneous” infection in an epidemic outbreak phase—Application to the 2020 pandemic

Gad Frenkel; Moshe Schwartz

doi:10.1016/j.physa.2020.125727

Modeling social distancing and “spontaneous” infection in an epidemic outbreak phase—Application to the 2020 pandemic

Gad Frenkel^*, Moshe Schwartz

^*Corresponding author for this work

School of Physics and Astronomy

Ruppin Academic Center

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

We generalize the SIR equations for epidemic evolution to include the effect of social distancing and “spontaneous” infection. We show that the model, describes well the evolution of the corona 2020 epidemic in a number of countries, in the outbreak phase, defined as the period terminating with the first maximum in the infected fraction of the population.

Original language	English
Article number	125727
Journal	Physica A: Statistical Mechanics and its Applications
Volume	567
DOIs	https://doi.org/10.1016/j.physa.2020.125727
State	Published - 1 Apr 2021

Keywords

Covid19
Differential equations
SIR Model
Statistical physics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.physa.2020.125727

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abstract = "We generalize the SIR equations for epidemic evolution to include the effect of social distancing and “spontaneous” infection. We show that the model, describes well the evolution of the corona 2020 epidemic in a number of countries, in the outbreak phase, defined as the period terminating with the first maximum in the infected fraction of the population.",

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KW - SIR Model

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Modeling social distancing and “spontaneous” infection in an epidemic outbreak phase—Application to the 2020 pandemic

Abstract

Keywords

UN SDGs

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