The risk of future waves of COVID-19: modeling and data analysis

DOI10.3934/mbe.2021274OpenAlexW3174654748MaRDI QIDQ2092005

Sanyi Tang, Sha He, Dingding Yan, Libin Rong, Jie Yang, Mengqi He

Publication date: 2 November 2022

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

Full work available at URL: https://doi.org/10.3934/mbe.2021274

zbMATH Keywords

risk analysisstochastic modelCOVID-19second wave

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of stochastic analysis (to PDEs, etc.) (60H30)

Related Items (3)

Modeling syphilis and HIV coinfection: a case study in the USA ⋮ A multi-strain model with asymptomatic transmission: application to COVID-19 in the US ⋮ Home quarantine or centralized quarantine? A mathematical modelling study on the COVID-19 epidemic in Guangzhou in 2021

Cites Work

• Predicting the second wave of COVID-19 in Washtenaw County, MI
• A discrete stochastic model of the COVID-19 outbreak: forecast and control
• Staggered release policies for COVID-19 control: costs and benefits of relaxing restrictions by age and risk
• Modeling the viral dynamics of SARS-CoV-2 infection
• Could masks curtail the post-lockdown resurgence of COVID-19 in the US?
• European and US lockdowns and second waves during the COVID-19 pandemic
• Analysis of COVID-19 epidemic traced data and stochastic discrete transmission dynamic model
• Statistical Inference in a Stochastic Epidemic SEIR Model with Control Intervention: Ebola as a Case Study

This page was built for publication: The risk of future waves of COVID-19: modeling and data analysis