Literature DB >> 32987517

Spread trend of COVID-19 epidemic outbreak in China: using exponential attractor method in a spatial heterogeneous SEIQR model.

Cheng-Cheng Zhu1, Jiang Zhu2.   

Abstract

In this paper we introduce a method of global exponential attractor in the reaction-diffusion epidemic model in spatial heterogeneous environment to study the spread trend and long-term dynamic behavior of the COVID-19 epidemic. First, we prove the existence of the global exponential attractor of general dissipative evolution systems. Then, by using the existence theorem, the global asymptotic stability and the persistence of epidemic are discussed. Finally, combine with the official data of the COVID-19 and the national control strategy, some numerical simulations on the stability and global exponential attractiveness of the COVID-19 epidemic are given. Simulations show that the spread trend of the epidemic is in line with our theoretical results, and the preventive measures taken by the Chinese government are effective.

Entities:  

Keywords:  COVID-19 ; global exponential attractor ; reaction-diffusion ; spatially heterogeneous environment

Mesh:

Year:  2020        PMID: 32987517     DOI: 10.3934/mbe.2020174

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  4 in total

1.  Dynamic analysis of a delayed COVID-19 epidemic with home quarantine in temporal-spatial heterogeneous via global exponential attractor method.

Authors:  Cheng-Cheng Zhu; Jiang Zhu
Journal:  Chaos Solitons Fractals       Date:  2020-12-05       Impact factor: 5.944

2.  Dynamical analysis of novel COVID-19 epidemic model with non-monotonic incidence function.

Authors:  R Prem Kumar; Sanjoy Basu; Dipankar Ghosh; Prasun Kumar Santra; G S Mahapatra
Journal:  J Public Aff       Date:  2021-09-02

3.  Cities in the epidemic, the epidemic in cities: Reconstruction of COVID-19 development in Polish cities.

Authors:  Jerzy J Parysek; Lidia Mierzejewska
Journal:  Cities       Date:  2022-03-23

4.  An extended fuzzy decision-making framework using hesitant fuzzy sets for the drug selection to treat the mild symptoms of Coronavirus Disease 2019 (COVID-19).

Authors:  Arunodaya Raj Mishra; Pratibha Rani; R Krishankumar; K S Ravichandran; Samarjit Kar
Journal:  Appl Soft Comput       Date:  2021-02-05       Impact factor: 6.725

  4 in total

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