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The computational fluid dynamics-based epidemic model and the pandemic scenarios
Talib Dbouk,
Dimitris Drikakis
Universite de Lille 2
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peer-review
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Keyphrases
Dynamic Base
100%
Epidemic Model
100%
Computational Fluid Dynamics
100%
Airborne Infection
100%
Pandemic Scenario
100%
United Kingdom
50%
Susceptible-infected-removed
50%
Computational Modeling
50%
Weather Conditions
50%
Fifth Wave
50%
COVID-19
50%
Fluid Dynamics
50%
Transmission Dynamics
50%
Pandemic Outbreak
50%
Weather Seasonality
50%
Virus Pandemic
50%
Epidemiological Model
50%
Multiple Scenarios
50%
Immunology and Microbiology
Liquid
100%
Dynamics
100%
Virus Transmission
50%
Airborne Virus
50%
COVID-19
25%
Medicine and Dentistry
Virus Transmission
100%
Epidemic Model
100%
COVID-19
50%
Seasonal Variation
50%
Engineering
Computational Fluid Dynamics
100%
Fluid Dynamics
50%
United Kingdom
50%
Pharmacology, Toxicology and Pharmaceutical Science
Virus Transmission
100%
Airborne Virus
100%