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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...
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| Udgivet i: | Results Phys |
|---|---|
| Main Authors: | , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
The Author(s). Published by Elsevier B.V.
2021
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8169594/ https://ncbi.nlm.nih.gov/pubmed/34094819 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.rinp.2021.104364 |
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