Montes-Orozco E, Mora-Gutierrez RA, De-Los-Cobos-Silva SG, Rincon-Garcia EA, Torres-Cockrell GS, Juarez-Gomez J, Obregon-Quintana B, Lara-Velazquez P, Gutierrez-Andrade MA. Identification of COVID-19 Spreaders Using Multiplex Networks Approach.
IEEE ACCESS : PRACTICAL INNOVATIONS, OPEN SOLUTIONS 2020;
8:122874-122883. [PMID:
34192111 PMCID:
PMC8043565 DOI:
10.1109/access.2020.3007726]
[Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 07/02/2020] [Indexed: 05/09/2023]
Abstract
In this work, we present a methodology to identify COVID-19 spreaders using the analysis of the relationship between socio-cultural and economic characteristics with the number of infections and deaths caused by the COVID-19 virus in different countries. For this, we analyze the information of each country using the complex networks approach, specifically by analyzing the spreaders countries based on the separator set in 5-layer multiplex networks. The results show that, we obtain a classification of the countries based on their numerical values in socioeconomics, population, Gross Domestic Product (GDP), health and air connections; where, in the spreader set there are those countries that have high, medium or low values in the different characteristics; however, the aspect that all the countries belonging to the separator set share is a high value in air connections.
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