Guillermo Lorenzo

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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, vol. 111, 2021, p. 106617
DOI: 10.1016/j.aml.2020.106617
Cite

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.

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