Please use this identifier to cite or link to this item: https://covid-19.conacyt.mx/jspui/handle/1000/4062
Parametric analysis of early data on COVID-19 expansion in selected European countries
Martin Spousta.
Acceso Abierto
Atribución-NoComercial-SinDerivadas
10.1101/2020.03.31.20049155
We analyze the early data on COVID-19 expansion in selected European countries using an analytical parametric model. A description of the time dependence of the disease expansion and a method to evaluate trends of the expansion are proposed. Several features are observed in the data, namely a high predictability of the expansion of disease in Italy and a convergence of the "pushback" parameter towards a limiting value in all the countries where restrictive measures have been adopted. Basic predictions for the evolution of the disease expansion are made for selected countries with a stable evolution in the parametric space of the model. The findings presented here should contribute to the understanding of the behavior of the disease expansion and the role of the restrictive measures on the evolution of the expansion.
arxiv.org
2020
Artículo
https://arxiv.org/pdf/2003.14283v1.pdf
Inglés
VIRUS RESPIRATORIOS
Appears in Collections:Artículos científicos

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