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

Talib Dbouk (1, 2) , Dimitris Drikakis

1 IMT Nord Europe - Ecole nationale supérieure Mines-Télécom Lille Douai
2 CERI EE - IMT Nord Europe - Centre for Energy and Environment

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.

Domaines: Sciences de l'environnement

Talib Dbouk, Dimitris Drikakis. The computational fluid dynamics-based epidemic model and the pandemic scenarios. Physics of Fluids, 2022, 34 (2), pp.027104. ⟨10.1063/5.0082090⟩. ⟨hal-03744684⟩