A discrete stochastic model of the COVID-19 outbreak: forecast and control

From MaRDI portal
Publication:2038649

DOI10.3934/mbe.2020153zbMath1467.92200OpenAlexW3010863549WikidataQ100312386 ScholiaQ100312386MaRDI QIDQ2038649

Libin Rong, Sha He, Sanyi Tang

Publication date: 7 July 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2020153




Related Items (34)

Time-continuous and time-discrete SIR models revisited: theory and applicationsMathematical perspective of Covid-19 pandemic: disease extinction criteria in deterministic and stochastic modelsDiscrete epidemic modelling of COVID-19 transmission in Shaanxi Province with media reporting and imported casesGlobal dynamics for a Filippov system with media effectsGeographical network model for COVID-19 spread among dynamic epidemic regionsAn SIHR epidemic model of the COVID-19 with general population-size dependent contact rateA two diffusion stochastic model for the spread of the new corona virus SARS-CoV-2A stochastic SEIRS rabies model with population dispersal: stationary distribution and probability density functionStationary distribution and long-time behavior of COVID-19 model with stochastic effectA multi-strain epidemic model for COVID-19 with infected and asymptomatic cases: application to French dataPersistence and extinction criteria of Covid-19 pandemic: India as a case studyA multiscale model of COVID-19 dynamicsReal-time forecasting of the COVID 19 using fuzzy grey Markov: a different approach in decision-makingA stochastic inventory model of COVID-19 and robust, real-time identification of carriers at large and infection rate via asymptotic lawsModels for government intervention during a pandemicEfficient social distancing during the COVID-19 pandemic: integrating economic and public health considerationsA novel high-order multivariate Markov model for spatiotemporal analysis with application to COVID-19 outbreakDynamic analysis and optimal control of a stochastic COVID-19 modelDynamic analysis of a stochastic epidemic model incorporating the double epidemic hypothesis and Crowley-Martin incidence termDiscrete‐event simulation is still alive and strong: evidence from bibliometric performance evaluation of research during COVID‐19 global health pandemicDynamical behavior and numerical simulation of a stochastic eco-epidemiological model with Ornstein-Uhlenbeck processEpidemic threshold of a COVID-19 model with Gaussian white noise and semi-Markov switchingExtinction and stationary distribution of stochastic predator-prey model with group defense behaviorAnalysis of COVID-19 epidemic transmission trend based on a time-delayed dynamic modelStability analysis and clinic phenomenon simulation of a fractional-order HBV infection modelControlling the spread of COVID-19: optimal control analysisStudying social awareness of physical distancing in mitigating COVID-19 transmissionThe impact of intervention strategies and prevention measurements for controlling COVID-19 outbreak in Saudi ArabiaDeterministic and stochastic models for the epidemic dynamics of COVID-19 in Wuhan, ChinaModelling and Sensitivity Analysis of COVID-19 Under the Influence of Environmental PollutionMathematical modelling for coronavirus disease (COVID-19) in predicting future behaviours and sensitivity analysisControlled singular evolution equations and Pontryagin type maximum principle with applicationsThe risk of future waves of COVID-19: modeling and data analysisReactive-diffusion epidemic model on human mobility networks: analysis and applications to COVID-19 in China



Cites Work


This page was built for publication: A discrete stochastic model of the COVID-19 outbreak: forecast and control