Time-variant reliability-based prediction of COVID-19 spread using extended SEIVR model and Monte Carlo sampling

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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Bibliographic Details
Main Authors: Mahdi Shadabfar, Mojtaba Mahsuli, Arash Sioofy Khoojine, Vahid Reza Hosseini
Format: Article
Language:English
Published: Elsevier 2021-07-01
Series:Results in Physics
Subjects:
COVID-19 spread
Reliability model
Monte Carlo sampling
Exceedance probability
Transmission rate
Recovery rate
Online Access:http://www.sciencedirect.com/science/article/pii/S2211379721004897

Internet

http://www.sciencedirect.com/science/article/pii/S2211379721004897

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