Identification of COVID-19 Spreaders Using Multiplex Networks Approach.
IEEE Access
; 8: 122874-122883, 2020.
Article
in English
| MEDLINE | ID: covidwho-1703355
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.
Full text:
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Collection:
International databases
Database:
MEDLINE
Language:
English
Journal:
IEEE Access
Year:
2020
Document Type:
Article
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