Deterministic and stochastic simulation of the COVID-19 epidemic with the SEIR model
This work regards the simulation of the spread of the COVID-19 disease in a community by applying the deterministic and stochastic Susceptible-Exposed-Infective-Recovered (SEIR) epidemic models. The developed computational method for the stochastic variant allows to realistically simulate the spread...
Autor principal: | |
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Outros Autores: | , , |
Formato: | conferenceObject |
Idioma: | por |
Publicado em: |
2021
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Assuntos: | |
Texto completo: | http://hdl.handle.net/10198/24033 |
País: | Portugal |
Oai: | oai:bibliotecadigital.ipb.pt:10198/24033 |