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

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

Andrea Nava
;
Alessandro Papa;Marco Rossi;Domenico Giuliano
2020-01-01

Abstract

We formulate a generalized susceptible exposed infectious recovered (SEIR) model on a graph, describingthe population dynamics of an open crowded place with an arbitrary topology. As a sample calculation, wediscuss three simple cases, both analytically and numerically, by means of a cellular automata simulation of theindividual dynamics in the system. As a result, we provide the infection ratio in the system as a function ofcontrollable parameters, which allows for quantifying how acting on the human behavior may effectively lowerthe disease spread throughout the system.
2020
SEIR model on graph
Infection spread
Cellular automaton simulation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/311025
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