Early stage COVID-19 disease dynamics in Germany: models and parameter identification

DOI10.1186/s13362-020-00088-yzbMath1469.92110OpenAlexW3041403306WikidataQ98657145 ScholiaQ98657145MaRDI QIDQ1980988

Peter Heidrich, Thomas B. Götz

Publication date: 9 September 2021

Published in: Journal of Mathematics in Industry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s13362-020-00088-y

zbMATH Keywords

epidemiologydisease dynamicsCOVID-19SEIRD-model

Mathematics Subject Classification ID

Epidemiology (92D30)

Related Items (2)

Estimating the time-dependent contact rate of SIR and SEIR models in mathematical epidemiology using physics-informed neural networks ⋮ Are the upper bounds for new SARS-CoV-2 infections in Germany useful?

Uses Software

• GitHub

Cites Work

• An Introduction to Mathematical Epidemiology
• Optimal control
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