Author: Reinhard Schlickeiser; Frank Schlickeiser
Title: A Gaussian model for the time development of the Sars-Cov-2 corona pandemic disease. Predictions for Germany made on March 30, 2020 Document date: 2020_4_2
ID: 0sny9dit_6
Snippet: Numerical simulations and the empirical data of earlier epidemies 8 indicate that the time evolution of epidemic waves is characterized by an early exponential rise until a pronounced maximum is reached followed by a rapid decrease. As argued above we adopt a simple Gaussian model for the time evolution of infections and explore its consequences. If I(t) denotes the number of infections . CC-BY 4.0 International license It is made available under.....
Document: Numerical simulations and the empirical data of earlier epidemies 8 indicate that the time evolution of epidemic waves is characterized by an early exponential rise until a pronounced maximum is reached followed by a rapid decrease. As argued above we adopt a simple Gaussian model for the time evolution of infections and explore its consequences. If I(t) denotes the number of infections . CC-BY 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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