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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8043565PMC
http://dx.doi.org/10.1109/ACCESS.2020.3007726DOI Listing

Publication Analysis

Top Keywords

covid-19 spreaders
8
multiplex networks
8
networks approach
8
countries based
8
separator set
8
air connections
8
countries
5
identification covid-19
4
spreaders multiplex
4
approach work
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!