Exploring the role of superspreading events in SARS-CoV-2 outbreaks

DOI10.1016/j.jtbi.2022.111353zbMath1504.92115OpenAlexW4309023902MaRDI QIDQ2109331

Jordan Bramble, Alexander Fulk, Raul Saenz, Folashade B. Agusto

Publication date: 20 December 2022

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

Full work available at URL: https://doi.org/10.1016/j.jtbi.2022.111353

zbMATH Keywords

continuous-time Markov chainhuman behaviorSARS-CoV-2superspreading eventsGillespie's direct algorithm

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of continuous-time Markov processes on discrete state spaces (60J28)

Uses Software

• GitHub

Cites Work

• Predicting the second wave of COVID-19 in Washtenaw County, MI
• Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan
• Unnamed Item

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