Understanding death risks of Covid-19 under media awareness strategy: a stochastic approach
| Autor: | Kai Wang, Regragui Taki, M. Lakhal, M. El Fatini, M. El Khalifi |
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| Rok vydání: | 2021 |
| Předmět: |
Algebra and Number Theory
Coronavirus disease 2019 Coronavirus disease 2019 (COVID-19) SARS-CoV-2 Computer science Applied Mathematics Social distance Control (management) Intervention effect Media coverage 92B05 93E15 Original Research Paper Stochastic epidemic model 93C10 Econometrics General rate incidence Epidemic disease Geometry and Topology Uniqueness Functional analysis (psychology) Analysis |
| Zdroj: | The Journal of Analysis |
| ISSN: | 2367-2501 0971-3611 |
| Popis: | The coronavirus disease 2019 (COVID-19) is rapidly spreading in the world and the mortality rate is getting higher and higher. Due to the outbreak of such epidemic disease, many countries imposed stricter measures among which is social distancing and enforced isolation. The present study tries to establish a realistic model to characterize the dynamics of COVID-19 and explicitly parameterize the intervention effects of control measures. In so doing, it takes into account stochastic perturbation and investigates the effects of media coverage on the transmission dynamics. This paper seeks to study the existence and uniqueness of the global positive solution to the proposed model and establish conditions for extinction and persistence in mean of the disease. Numerical simulations are presented to show the theoretical results obtained from this study. |
| Databáze: | OpenAIRE |
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