A simulation study of the COVID-19 pandemic based on the Ornstein-Uhlenbeck processes

DOI10.22034/cmde.2021.43961.1864OpenAlexW3175260846MaRDI QIDQ5884017

Parisa Nabati

Publication date: 19 March 2023

Full work available at URL: https://cmde.tabrizu.ac.ir/article_12978_18fa444260600dbd2b5a35975dc8667c.pdf

zbMATH Keywords

Ornstein-Uhlenbeck processnumerical simulationstochastic analysisCOVID-19

Mathematics Subject Classification ID

Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Generation, random and stochastic difference and differential equations (37H10)

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Cites Work

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• Analysis and forecast of COVID-19 spreading in China, Italy and France
• Modeling and forecasting the spread and death rate of coronavirus (COVID-19) in the world using time series models
• Estimation of stochastic volatility by using Ornstein-Uhlenbeck type models
• Dynamics of an SEIR model with infectivity in incubation period and homestead-isolation on the susceptible
• Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China
• Mathematical modelling for coronavirus disease (COVID-19) in predicting future behaviours and sensitivity analysis

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