Author: Martin Spousta
Title: Parametric analysis of early data on COVID-19 expansion in selected European countries Document date: 2020_4_3
ID: 3b6n8un0_2
Snippet: In the first section of this paper, we introduce the model, analyze the data which are available as of 31 st of March 2020 from selected European countries and discuss several features seen in the data. In the second section, we explain calculations for predictions and we make predictions for three countries which appear to be on a predictable trajectory in the parametric space of the model. Data used in this work are taken from [3] , cross-check.....
Document: In the first section of this paper, we introduce the model, analyze the data which are available as of 31 st of March 2020 from selected European countries and discuss several features seen in the data. In the second section, we explain calculations for predictions and we make predictions for three countries which appear to be on a predictable trajectory in the parametric space of the model. Data used in this work are taken from [3] , cross-checked using information system described in Ref. [4] , and from [5] .
Search related documents:
Co phrase search for related documents- model parametric space and predictable trajectory: 1
- model parametric space predictable trajectory appear and parametric space: 1
- model parametric space predictable trajectory appear and predictable trajectory: 1
- paper section and second section: 1, 2, 3, 4, 5, 6, 7
- parametric space and predictable trajectory: 1
Co phrase search for related documents, hyperlinks ordered by date