Author: Martin Spousta
Title: Parametric analysis of early data on COVID-19 expansion in selected European countries Document date: 2020_4_3
ID: 3b6n8un0_1
Snippet: The outbreak of new coronavirus SARS-CoV-2 causing severe respiratory tract infection in humans, known as COVID-19, is a global health concern. Restrictive measures have been adopted in many countries in order to mitigate the impact of the spread of the disease on public health system [1] . In this paper we propose a straightforward analytic description of the time dependence of the disease expansion under the restrictive measures and a method al.....
Document: The outbreak of new coronavirus SARS-CoV-2 causing severe respiratory tract infection in humans, known as COVID-19, is a global health concern. Restrictive measures have been adopted in many countries in order to mitigate the impact of the spread of the disease on public health system [1] . In this paper we propose a straightforward analytic description of the time dependence of the disease expansion under the restrictive measures and a method allowing to identify trends in the expansion and make predictions. The analytic parametric modeling can be used as an alternative to complex models for the disease expansion such as those reviewed e.g. in Ref. [2] .
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