Impact of information and Lévy noise on stochastic COVID-19 epidemic model under real statistical data.
Lévy jump
Stochastic COVID-19 model
extinction
information intervention
numerical simulation
persistence
Journal
Journal of biological dynamics
ISSN: 1751-3766
Titre abrégé: J Biol Dyn
Pays: England
ID NLM: 101299725
Informations de publication
Date de publication:
12 2022
12 2022
Historique:
pubmed:
29
3
2022
medline:
20
5
2022
entrez:
28
3
2022
Statut:
ppublish
Résumé
In this paper, we consider the dynamical behaviour of a stochastic coronavirus (COVID-19) susceptible-infected-removed epidemic model with the inclusion of the influence of information intervention and Lévy noise. The existence and uniqueness of the model positive solution are proved. Then, we establish a stochastic threshold as a sufficient condition for the extinction and persistence in mean of the disease. Based on the available COVID-19 data, the parameters of the model were estimated and we fit the model with real statistics. Finally, numerical simulations are presented to support our theoretical results.
Identifiants
pubmed: 35341468
doi: 10.1080/17513758.2022.2055172
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM