Dynamics of a stochastic SEIAIR COVID-19 model with contacting distance and Ornstein–Uhlenbeck process

Author:

Wen BuyuORCID,Teng ZhidongORCID,Liu Bing

Funder

National Natural Science Foundation of China

Natural Science Foundation of Liaoning Province

Department of Education of Liaoning Province

Alliance of International Science Organizations

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Numerical Analysis

Reference33 articles.

1. Modeling for COVID-19 with the contacting distance;Ma;Nonlinear Dynam,2022

2. Epidemic models of contact tracing: systematic review of transmission studies of severe acute respiratory syndrome and Middle East respiratory syndrome;Kwok;J Comput Struct Biotech,2019

3. Study of SEIR epidemic model and senario analysis of COVID-19 pandemic;Paul;Ecol Genet Genom,2021

4. Analysis and simulation of a stochastic COVID-19 model with large-scale nucleic acid detection and isolation measures: A case study of the outbreak in Urumqi, China in 2022;Zeng;Infect Dis Model,2023

5. SEIR modeling of the COVID-19 and its dynamics;He;Nonlinear Dynam,2020

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