Predicting the second wave of COVID-19 in Washtenaw County, MI

DOI10.1016/j.jtbi.2020.110461zbMath1455.92138OpenAlexW3082056362WikidataQ99634116 ScholiaQ99634116MaRDI QIDQ827774

Denise E. Kirschner, Marissa Renardy, Marisa C. Eisenberg

Publication date: 13 January 2021

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7455546

zbMATH Keywords

coronavirusepidemiologynetwork-based model

Mathematics Subject Classification ID

Epidemiology (92D30) Systems biology, networks (92C42)

Related Items (9)

Control attenuation and temporary immunity in a cellular automata SEIR epidemic model ⋮ Predicting the outbreak of epidemics using a network-based approach ⋮ Connecting agent-based models with high-dimensional parameter spaces to multidimensional data using SMoRe ParS: a surrogate modeling approach ⋮ Modeling impact of vaccination on COVID-19 dynamics in St. Louis ⋮ Modeling the second wave of COVID-19 infections in France and Italy via a stochastic SEIR model ⋮ Analysis of Pandemic Closing-Reopening Cycles Using Rigorous Homotopy Continuation: A Case Study with Montreal COVID-19 Data ⋮ The risk of future waves of COVID-19: modeling and data analysis ⋮ Building mean field ODE models using the generalized linear chain trick & Markov chain theory ⋮ Exploring the role of superspreading events in SARS-CoV-2 outbreaks

Uses Software

• GitHub
• FRED

Cites Work

• Modeling spatial invasion of Ebola in West Africa
• On a model of joint control of reserves in automatic control systems of production
• A methodology for performing global uncertainty and sensitivity analysis in systems biology
• A framework for network-based epidemiological modeling of tuberculosis dynamics using synthetic datasets

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