The computational fluid dynamics-based epidemic model and the pandemic scenarios

This study presents a computational fluid dynamics, susceptible–infected–recovered-based epidemic model that relates weather conditions to airborne virus transmission dynamics. The model considers the relationship between weather seasonality, airborne virus transmission, and pandemic outbreaks. We e...

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Detalles Bibliográficos
Autores principales: Dbouk, Talib, Drikakis, Dimitris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AIP Publishing LLC 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939527/
https://www.ncbi.nlm.nih.gov/pubmed/35342276
http://dx.doi.org/10.1063/5.0082090
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author Dbouk, Talib
Drikakis, Dimitris
author_facet Dbouk, Talib
Drikakis, Dimitris
author_sort Dbouk, Talib
collection PubMed
description This study presents a computational fluid dynamics, susceptible–infected–recovered-based epidemic model that relates weather conditions to airborne virus transmission dynamics. The model considers the relationship between weather seasonality, airborne virus transmission, and pandemic outbreaks. We examine multiple scenarios of the COVID-19 fifth wave in London, United Kingdom, showing the potential peak and the period occurring. The study also shows the importance of fluid dynamics and computational modeling in developing more advanced epidemiological models in the future.
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spelling pubmed-89395272022-03-22 The computational fluid dynamics-based epidemic model and the pandemic scenarios Dbouk, Talib Drikakis, Dimitris Phys Fluids (1994) Articles This study presents a computational fluid dynamics, susceptible–infected–recovered-based epidemic model that relates weather conditions to airborne virus transmission dynamics. The model considers the relationship between weather seasonality, airborne virus transmission, and pandemic outbreaks. We examine multiple scenarios of the COVID-19 fifth wave in London, United Kingdom, showing the potential peak and the period occurring. The study also shows the importance of fluid dynamics and computational modeling in developing more advanced epidemiological models in the future. AIP Publishing LLC 2022-02 2022-02-02 /pmc/articles/PMC8939527/ /pubmed/35342276 http://dx.doi.org/10.1063/5.0082090 Text en © 2022 Author(s). Published under an exclusive license by AIP Publishing. https://creativecommons.org/licenses/by/4.0/All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Articles
Dbouk, Talib
Drikakis, Dimitris
The computational fluid dynamics-based epidemic model and the pandemic scenarios
title The computational fluid dynamics-based epidemic model and the pandemic scenarios
title_full The computational fluid dynamics-based epidemic model and the pandemic scenarios
title_fullStr The computational fluid dynamics-based epidemic model and the pandemic scenarios
title_full_unstemmed The computational fluid dynamics-based epidemic model and the pandemic scenarios
title_short The computational fluid dynamics-based epidemic model and the pandemic scenarios
title_sort computational fluid dynamics-based epidemic model and the pandemic scenarios
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939527/
https://www.ncbi.nlm.nih.gov/pubmed/35342276
http://dx.doi.org/10.1063/5.0082090
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