Stochastic differential equation model of Covid-19: Case study of Pakistan

In recent years, the world lived a horrible nightmare named the Covid-19 pandemic. It’s changing lifestyle caused the closure of critical establishments like schools, sports halls, companies, etc., as well as causing damage and menace for humanity. Mathematical models are helpful tools for modeling...

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Detalles Bibliográficos
Autores principales: El Koufi, Amine, El Koufi, Nouhaila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782735/
https://www.ncbi.nlm.nih.gov/pubmed/35096520
http://dx.doi.org/10.1016/j.rinp.2022.105218
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author El Koufi, Amine
El Koufi, Nouhaila
author_facet El Koufi, Amine
El Koufi, Nouhaila
author_sort El Koufi, Amine
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description In recent years, the world lived a horrible nightmare named the Covid-19 pandemic. It’s changing lifestyle caused the closure of critical establishments like schools, sports halls, companies, etc., as well as causing damage and menace for humanity. Mathematical models are helpful tools for modeling and analysing the infectious disease transmission This article presents a stochastic model of the Covid-19 epidemic for a population with five compartments. We give a numerical analysis of the proposed stochastic model. Also, we compare it with results of the corresponding deterministic model.
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spelling pubmed-87827352022-01-24 Stochastic differential equation model of Covid-19: Case study of Pakistan El Koufi, Amine El Koufi, Nouhaila Results Phys Article In recent years, the world lived a horrible nightmare named the Covid-19 pandemic. It’s changing lifestyle caused the closure of critical establishments like schools, sports halls, companies, etc., as well as causing damage and menace for humanity. Mathematical models are helpful tools for modeling and analysing the infectious disease transmission This article presents a stochastic model of the Covid-19 epidemic for a population with five compartments. We give a numerical analysis of the proposed stochastic model. Also, we compare it with results of the corresponding deterministic model. The Authors. Published by Elsevier B.V. 2022-03 2022-01-22 /pmc/articles/PMC8782735/ /pubmed/35096520 http://dx.doi.org/10.1016/j.rinp.2022.105218 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
El Koufi, Amine
El Koufi, Nouhaila
Stochastic differential equation model of Covid-19: Case study of Pakistan
title Stochastic differential equation model of Covid-19: Case study of Pakistan
title_full Stochastic differential equation model of Covid-19: Case study of Pakistan
title_fullStr Stochastic differential equation model of Covid-19: Case study of Pakistan
title_full_unstemmed Stochastic differential equation model of Covid-19: Case study of Pakistan
title_short Stochastic differential equation model of Covid-19: Case study of Pakistan
title_sort stochastic differential equation model of covid-19: case study of pakistan
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782735/
https://www.ncbi.nlm.nih.gov/pubmed/35096520
http://dx.doi.org/10.1016/j.rinp.2022.105218
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