Stationary distribution and long-time behavior of COVID-19 model with stochastic effect
International Journal of Biomathematics
; 16(2), 2023.
Article
in English
| Scopus | ID: covidwho-2241038
ABSTRACT
The coronavirus disease (COVID-19) is a dangerous pandemic and it spreads to many people in most of the world. In this paper, we propose a COVID-19 model with the assumption that it is affected by randomness. For positivity, we prove the global existence of positive solution and the system exhibits extinction under certain parametric restrictions. Moreover, we establish the stability region for the stochastic model under the behavior of stationary distribution. The stationary distribution gives the guarantee of the appearance of infection in the population. Besides that, we find the reproduction ratio R0S for prevail and disappear of infection within the human population. From the graphical representation, we have validated the threshold conditions that define in our theoretical findings. © 2023 World Scientific Publishing Company.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Topics:
Long Covid
Language:
English
Journal:
International Journal of Biomathematics
Year:
2023
Document Type:
Article
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