Registered Data

[00229] Mathematical modeling of spatial distribution of COVID-19 epidemic

  • Session Time & Room : 4C (Aug.24, 13:20-15:00) @E507
  • Type : Contributed Talk
  • Abstract : This study provides a mathematical study of the Susceptible, Exposed, Infected, Recovered, and Vaccinated population model of the COVID-19 pandemic by the bias of reaction-diffusion equations. We showed the spatial distribution of the model compartments when the basic reproduction rate R0 < 1 and R0 > 1. We demonstrate the model's effectiveness by performing numerical simulations and then investigated the impact of vaccination and the significance of spatial distribution parameters in the spread of COVID-19 epidemic.
  • Classification : 60J70, 62H12, 00A71
  • Format : Talk at Waseda University
  • Author(s) :
    • Kayode Oshinubi (Northern Arizona University)
    • Jacques Demongeot (University of Grenoble Alpes)
    • Brice Kammegne (University of Dschang )