A Gaussian Model for the Time Development of the Sars-Cov-2 Corona Pandemic Disease. Predictions for Germany Made on 30 March 2020
Título
A Gaussian Model for the Time Development of the Sars-Cov-2 Corona Pandemic Disease. Predictions for Germany Made on 30 March 2020
Autor
Reinhard Schlickeiser, Frank Schlickeiser
Descripción
For Germany, it is predicted that the first wave of the corona pandemic disease reaches its maximum of new infections on 11 April 2020 − 3.4 + 5.4 days with 90% confidence. With a delay of about 7 days the maximum demand on breathing machines in hospitals occurs on 18 April 2020 − 3.4 + 5.4 days. The first pandemic wave ends in Germany end of May 2020. The predictions are based on the assumption of a Gaussian time evolution well justified by the central limit theorem of statistics. The width and the maximum time and thus the duration of this Gaussian distribution are determined from a statistical χ 2 -fit to the observed doubling times before 28 March 2020.
Fecha
2020
Materia
gaussian model, Health science, statistical methods in physics, virus time evolution
Identificador
DOI: 10.3390/physics2020010
Fuente
Physics
Editor
MDPI AG
Cobertura
Physics
Colección
Citación
Reinhard Schlickeiser, Frank Schlickeiser, “A Gaussian Model for the Time Development of the Sars-Cov-2 Corona Pandemic Disease. Predictions for Germany Made on 30 March 2020,” SOCICT Open, consulta 18 de abril de 2026, https://www.socictopen.socict.org/items/show/2838.
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