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Parametric Study Of A Stochastic Seir Model For A Covid-19 Post-Pandemic Scenario

AuthID
P-00Z-RPQ

Author(s)

Balsa, C

de Padua, E

Pinto, L

Rufino, J

Editor(s)

Guarda,T;Portela,F;Diaz Nafria,JM

Document Type

Proceedings Paper

Year published

2024

Published

in Communications in Computer and Information Science, ISSN: 1865-0929

Volume: 1937 CCIS, Pages: 43-57 (14)

Conference

3Rd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, Artiis 2023, Date: 18 October 2023 through 20 October 2023, Location: Madrid

Indexing

Scopus^®

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Metadata
Sources

Publication Identifiers

DOI: 10.1007/978-3-031-48930-3_4

SCOPUS: 2-s2.0-85180750696

Source Identifiers

ISSN: 1865-0929

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Parametric Study Of A Stochastic Seir Model For A Covid-19 Post-Pandemic Scenario

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