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...

Descripción completa

Detalles Bibliográficos
Autores principales: Shadabfar, Mahdi, Mahsuli, Mojtaba, Sioofy Khoojine, Arash, Hosseini, Vahid Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2021
Materias:
Article
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

Internet

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

Ejemplares similares