Abstract
AbstractA widely used tool for analysing the Covid-19 pandemic is the standard SIR model. It seems often to be used as a black box, not taking into account that this model was derived as a special case of the seminal Kermack–McKendrick theory from 1927. This is our starting point. We explain the setup of the Kermack–McKendrick theory (passing to a discrete approach) and use medical information for specializing to a model called by us anadapted K-McK-model. It includes effects of vaccination, mass testing and mutants. We demonstrate the use of the model by applying it to the development in Germany and show, among others things, that a comparatively mild intervention reducing the time until quarantine by one day would lead to a drastic improvement.
Funder
Bergische Universität Wuppertal
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,General Agricultural and Biological Sciences,Pharmacology,General Environmental Science,General Biochemistry, Genetics and Molecular Biology,General Mathematics,Immunology,General Neuroscience
Reference24 articles.
1. an der Heiden M, Hamouda O (2020) Schätzung der aktuellen Entwicklung der SARS-CoV-2-Epidemie in Deutschland – Nowcasting 23. RKI Bull 17:10–16
2. Brauer F (2017) Mathematical epidemiology: past, present, and future. Infect Dis Model 2(2):113–127
3. Breda D, Diekmann O, de Graaf WF (2012) On the formulation of epidemic models (an appraisal of Kermack and McKendrick). J Biol Dyn 6:103–117
4. Davies N, Abbott S, Barnard R et al (2021) Estimated transmissibility and impact of SARS-Cov-2 lineage B.1.1.7 in England. Science 372:eabg3055
5. Dehning J, Zierenberg J, Spitzner P, Neto JP, Wilczek M, Priesemann V et al (2020) Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions. Science 369:eabb9789
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