What is it about?
Due to the uncertainty of the incubation period and the variability of detection, as well as human mobility with long jumps in the COVID-19 epidemic, we propose a Lévy noise-driven SEIR model incorporating media coverage to analyze the outbreak of COVID-19.
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Why is it important?
Our findings show: (i) stochastic perturbation may affect the dynamic behavior of the disease, and larger noise will be more beneficial to control its spread; (ii) strengthening social isolation, increasing the cure rate and media coverage can effectively control the spread of disease. Our results further clarify the effectiveness of existing control strategies in fluctuating environments.
Perspectives
I hope this article will give people a richer perspective on the spread of COVID-19, so that we can better prevent and control the epidemic and do a good job of self-prevention in a fluctuating environment .
Yamin Ding
Read the Original
This page is a summary of: Stochastic analysis of COVID-19 by a SEIR model with Lévy noise, Chaos An Interdisciplinary Journal of Nonlinear Science, April 2021, American Institute of Physics,
DOI: 10.1063/5.0021108.
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