Seminario de Investigación del GIDE: Clustering of time series for the analysis of the COVID-19 pandemic evolution

El martes 11 de agosto a las 17 horas tendrá lugar la presentación del trabajo de investigación "Clustering of time series for the analysis of the COVID-19 pandemic evolution" de Emiliano Álvarez, Gabriel Brida y Erick Limas. La actividad será en modalidad virtual. Para obtener el link de acceso a los seminarios en modalidad virtual, comunicarse al correo Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo..

Resumen

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. The differences between the dynamics of countries can be explained by the actions taken: there is an association between better performance and implementation of more stringent measures, as well with the realization of a greater number of tests.

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