A Stochastic Model with Optimal Control Strategy of the Transmission of Covid-19
2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021
; : 62-66, 2021.
Article
in English
| Scopus | ID: covidwho-1759078
ABSTRACT
In this work, a stochastic differential equation model about the novel Coronavirus 2019 (COVID-19) is introduced to describe the transmission dynamics of that disease among the susceptible person. By taking the social distance, musk wearing, and other human behavior as a control strategy and introducing an objective function which both considers the limitation of social distance and minimizes the infection population, an optimal control strategy is given numerically. This result gives a new numerical method to simulate the epidemic model and make a new insight into the control strategy choice of the pandemic control under the environments and conditions of different countries. © 2021 IEEE.
Covid-19; differential equation; optimal control; stochastic model; Behavioral research; Coronavirus; Differential equations; Disease control; Numerical methods; Stochastic control systems; Stochastic models; Stochastic systems; Transmissions; Control strategies; Coronaviruses; Human behaviors; Optimal control strategy; Optimal controls; Social distance; Stochastic differential equation models; Stochastic-modeling; Transmission dynamics; Optimal control systems
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021
Year:
2021
Document Type:
Article
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