Since the onset of the COVID-19 pandemic, we have come a long way to understand the complex and changing dynamics of the severe acute respiratory syndrome caused by this virus (SARS-CoV-2).

Mathematical modeling and quantitative analysis of empirical data played a pivotal role to answer the emerging questions as the pandemic unfolds and to better understand and control the pandemic. Three articles are presented that describe and critique the role of modeling during the pandemic.

Speaker: Ulrich Mansmann, Ph.D. (LMU Munich, Germany)

0:00 Intro

2:12 Why model COVID-19?

5:55 Future considerations

14:46 Non-pharmacologic interventions

19:55 New variants, multiple infections/reinfection, vaccinations, vanishing immunity, and endemicity

27:36 Summary

29:41 Q&A

41:29 Outro

References:

-Kolle K et al.: The changing epidemiology of SARS-CoV-2. Science 375(2022);6585:1116-21. https://doi.org/10.1126/science.abm4915

-H-P Dürr

& M Eichner: Corona-Pandemie: Zukunfts-Überlegungen aus der Sicht epidemiologischer Modellierung. MVF 2/2022; 57-63. http://doi.org/10.24945/MVF.02.22.1866-0533.2393

-B Müller: Zur Modellierung der Corona-Pandemie – eine Streitschrift. MVF 6/2021; 68-79. http://doi.org/10.24945/MVF.06.21.1866-0533.2354

#covid19 #epidemiology #modeling #corona

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