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Time-variant reliability-based prediction of COVID-19 spread using extended SEIVR model and Monte Carlo sampling
A probabilistic method is proposed in this study to predict the spreading profile of the coronavirus disease 2019 (COVID-19) in the United State (US) via time-variant reliability analysis. To this end, an extended susceptible-exposed-infected-vaccinated-recovered (SEIVR) epidemic model is first esta...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Author(s). Published by Elsevier B.V.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169594/ https://www.ncbi.nlm.nih.gov/pubmed/34094819 http://dx.doi.org/10.1016/j.rinp.2021.104364 |