Learning transmission dynamics modelling of COVID-19 using \textbf{comomodels}

DOI10.1016/j.mbs.2022.108824zbMath1492.92120OpenAlexW4229022227WikidataQ112277320 ScholiaQ112277320MaRDI QIDQ2147439

Chon Lok Lei, Liangti Dai, Sumali Bajaj, Ioana Bouros, Fergus Cooper, Ben Lambert, Richard Creswell, David Seiferth, Solveig A. van der Vegt, Hui Jia Farm, Oscar Dimdore-Miles, Lyle Hopkins, Idil Cazimoglu, David J. Gavaghan

Publication date: 20 June 2022

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

Full work available at URL: https://doi.org/10.1016/j.mbs.2022.108824

zbMATH Keywords

population dynamicscompartmental modelsepidemiologyinfectious disease modellingpedagogyCOVID-19

Mathematics Subject Classification ID

Epidemiology (92D30) Computational methods for problems pertaining to biology (92-08)

Related Items (1)

comomodels

Uses Software

• R
• ggplot2
• R Markdown
• Plotly

Cites Work

• On the definition and the computation of the basic reproduction ratio \(R_ 0\) in models for infectious diseases in heterogeneous populations
• ggplot2
• Compartmental Models in Epidemiology
• On Profile Likelihood
• The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries

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