Guillermo Lorenzo


Simulating the spread of COVID-19 via a spatially-resolved susceptible–exposed–infected–recovered–deceased (SEIRD) model with heterogeneous diffusion


Journal article


Alex Viguerie, Guillermo Lorenzo, Ferdinando Auricchio, Davide Baroli, Thomas J.R. Hughes, Alessia Patton, Alessandro Reali, Thomas E. Yankeelov, Alessandro Veneziani
Applied Mathematics Letters, 2021, p. 106617


Cite

APA
Viguerie, A., Lorenzo, G., Auricchio, F., Baroli, D., Hughes, T. J. R., Patton, A., … Veneziani, A. (2021). Simulating the spread of COVID-19 via a spatially-resolved susceptible–exposed–infected–recovered–deceased (SEIRD) model with heterogeneous diffusion. Applied Mathematics Letters, 111, 106617.

Chicago/Turabian
Viguerie, Alex, Guillermo Lorenzo, Ferdinando Auricchio, Davide Baroli, Thomas J.R. Hughes, Alessia Patton, Alessandro Reali, Thomas E. Yankeelov, and Alessandro Veneziani. “Simulating the Spread of COVID-19 via a Spatially-Resolved Susceptible–Exposed–Infected–Recovered–Deceased (SEIRD) Model with Heterogeneous Diffusion.” Applied Mathematics Letters 111 (2021): 106617.

MLA
Viguerie, Alex, et al. “Simulating the Spread of COVID-19 via a Spatially-Resolved Susceptible–Exposed–Infected–Recovered–Deceased (SEIRD) Model with Heterogeneous Diffusion.” Applied Mathematics Letters, vol. 111, 2021, p. 106617.