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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...
Autores principales: | Stanovov, Vladimir, Grabljevec, Stanko, Akhmedova, Shakhnaz, Semenkin, Eugene, Stojanović, Radovan, Rozman, Črtomir, Škraba, Andrej |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
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 |
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