Author: Janik Schuttler; Reinhard Schlickeiser; Frank Schlickeiser; Martin Kroger
Title: Covid-19 predictions using a Gauss model, based on data from April 2 Document date: 2020_4_11
ID: 14x9luqu_5
Snippet: We model the time-dependent daily change of infections and daily change of deaths with their own, a priori independent, time-dependent Gaussian functions denoted by i(t) and d(t). Each Gaussian is a bell-shaped curve, the black line in Fig. 1(a) , characterized by three independent parameters: a width, a maximum height and a time at which the Gaussian curve attains this maximum height. For any value of these parameters, the general form of the G.....
Document: We model the time-dependent daily change of infections and daily change of deaths with their own, a priori independent, time-dependent Gaussian functions denoted by i(t) and d(t). Each Gaussian is a bell-shaped curve, the black line in Fig. 1(a) , characterized by three independent parameters: a width, a maximum height and a time at which the Gaussian curve attains this maximum height. For any value of these parameters, the general form of the Gauss function -the bell-shaped curve in Fig. 1 (a) -is preserved, but the concrete fit to given data can be optimized, as illustrated in Fig. 1(b) for varying parameters.
Search related documents:
Co phrase search for related documents- black line and Gauss function: 1
- black line and maximum height: 1
- black line and parameter value: 1
- daily change and death daily change: 1
- daily change and Gauss function: 1
Co phrase search for related documents, hyperlinks ordered by date