Abstract
In recent months, the world has suffered from the appearance of a new strain of coronavirus, causing the COVID-19 pandemic. There are great scientific efforts to find new treatments and vaccines, at the same time that governments, companies, and individuals have taken a series of actions in response to this pandemic. These efforts seek to decrease the speed of propagation, although with significant social and economic costs. Countries have taken different actions, also with different results. In this article we use non-parametric techniques (HT and MST) with the aim of identifying groups of countries with a similar spread of the coronavirus. The variable of interest is the number of daily infections per country. Results show that there are groups of countries with differentiated contagion dynamics, both in the number of contagions plus at the time of the greatest transmission of the disease. It is concluded that the actions taken by the countries, the speed at which they were taken and the number of tests carried out may explain part of the differences in the dynamics of contagion.
Competing Interest Statement
The authors have declared no competing interest.
Funding Statement
No external funding was received
Author Declarations
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All relevant ethical guidelines have been followed.
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Footnotes
* The authors would like to acknowledge the many valuable suggestions made by the participants at the GIDE Seminar
Data Availability
The data used in this manuscript are available at https://ourworldindata.org/coronavirus