Identification of COVID-19 spread mechanisms based on first-wave data, simulation models, and evolutionary algorithms

BACKGROUND: The COVID-19 epidemic has shown that efficient prediction models are required, and the well-known SI, SIR, and SEIR models are not always capable of capturing the real dynamics. Modified models with novel structures could help identify unknown mechanisms of COVID-19 spread. OBJECTIVE: Ou...

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Detalles Bibliográficos
Autores principales: Stanovov, Vladimir, Grabljevec, Stanko, Akhmedova, Shakhnaz, Semenkin, Eugene, Stojanović, Radovan, Rozman, Črtomir, Škraba, Andrej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797101/
https://www.ncbi.nlm.nih.gov/pubmed/36576938
http://dx.doi.org/10.1371/journal.pone.0279427

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797101/
https://www.ncbi.nlm.nih.gov/pubmed/36576938
http://dx.doi.org/10.1371/journal.pone.0279427

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