The computational fluid dynamics-based epidemic model and the pandemic scenarios.
Journal
Physics of fluids (Woodbury, N.Y. : 1994)
ISSN: 1070-6631
Titre abrégé: Phys Fluids (1994)
Pays: United States
ID NLM: 101286829
Informations de publication
Date de publication:
Feb 2022
Feb 2022
Historique:
received:
12
12
2021
accepted:
13
01
2022
entrez:
28
3
2022
pubmed:
29
3
2022
medline:
29
3
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 35342276
doi: 10.1063/5.0082090
pii: 5.0082090
pmc: PMC8939527
doi:
Types de publication
Journal Article
Langues
eng
Pagination
027104Informations de copyright
© 2022 Author(s).
Références
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