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

Talib Dbouk, Dimitris Drikakis

    Research output: Contribution to journalArticlepeer-review

    Abstract

    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.

    Original languageEnglish
    Article number027104
    JournalPhysics of Fluids
    Volume34
    Issue number2
    DOIs
    Publication statusPublished - 1 Feb 2022

    Fingerprint

    Dive into the research topics of 'The computational fluid dynamics-based epidemic model and the pandemic scenarios'. Together they form a unique fingerprint.

    Cite this