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Understanding death risks of Covid-19 under media awareness strategy: a stochastic approach
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 es...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Singapore
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170655/ http://dx.doi.org/10.1007/s41478-021-00331-8 |
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author | Taki, Regragui El Fatini, Mohamed El Khalifi, Mohamed Lakhal, Mohammed Wang, Kai |
author_facet | Taki, Regragui El Fatini, Mohamed El Khalifi, Mohamed Lakhal, Mohammed Wang, Kai |
author_sort | Taki, Regragui |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8170655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-81706552021-06-02 Understanding death risks of Covid-19 under media awareness strategy: a stochastic approach Taki, Regragui El Fatini, Mohamed El Khalifi, Mohamed Lakhal, Mohammed Wang, Kai J Anal Original Research Paper 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. Springer Singapore 2021-06-02 2022 /pmc/articles/PMC8170655/ http://dx.doi.org/10.1007/s41478-021-00331-8 Text en © Forum D'Analystes, Chennai 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Research Paper Taki, Regragui El Fatini, Mohamed El Khalifi, Mohamed Lakhal, Mohammed Wang, Kai Understanding death risks of Covid-19 under media awareness strategy: a stochastic approach |
title | Understanding death risks of Covid-19 under media awareness strategy: a stochastic approach |
title_full | Understanding death risks of Covid-19 under media awareness strategy: a stochastic approach |
title_fullStr | Understanding death risks of Covid-19 under media awareness strategy: a stochastic approach |
title_full_unstemmed | Understanding death risks of Covid-19 under media awareness strategy: a stochastic approach |
title_short | Understanding death risks of Covid-19 under media awareness strategy: a stochastic approach |
title_sort | understanding death risks of covid-19 under media awareness strategy: a stochastic approach |
topic | Original Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170655/ http://dx.doi.org/10.1007/s41478-021-00331-8 |
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