• Open Access

Analytical and cellular automaton approach to a generalized SEIR model for infection spread in an open crowded space

Andrea Nava, Alessandro Papa, Marco Rossi, and Domenico Giuliano
Phys. Rev. Research 2, 043379 – Published 16 December 2020

Abstract

We formulate a generalized susceptible exposed infectious recovered (SEIR) model on a graph, describing the population dynamics of an open crowded place with an arbitrary topology. As a sample calculation, we discuss three simple cases, both analytically and numerically, by means of a cellular automata simulation of the individual dynamics in the system. As a result, we provide the infection ratio in the system as a function of controllable parameters, which allows for quantifying how acting on the human behavior may effectively lower the disease spread throughout the system.

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  • Received 4 June 2020
  • Accepted 1 December 2020

DOI:https://doi.org/10.1103/PhysRevResearch.2.043379

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by the American Physical Society

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Authors & Affiliations

Andrea Nava, Alessandro Papa, Marco Rossi, and Domenico Giuliano

  • Dipartimento di Fisica, Università della Calabria, Arcavacata di Rende I-87036, Cosenza, Italy and INFN–Gruppo collegato di Cosenza, Arcavacata di Rende I-87036, Cosenza, Italy

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Vol. 2, Iss. 4 — December - December 2020

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