Clustering analysis of countries using the COVID-19 cases dataset

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dc.contributor.authorZarikas, Vasilios
dc.contributor.authorPoulopoulos, Stavros G.
dc.contributor.authorGareiou, Zoe
dc.contributor.authorZervas, Efthimios
dc.contributor.authorEfthimios
dc.date.accessioned2020-08-20T09:03:24Z
dc.date.available2020-08-20T09:03:24Z
dc.date.issued2020-05-29
dc.description.abstractThere is a worldwide effort of the research community to explore the medical, economic and sociologic impact of the COVID-19 pandemic. Many different disciplines try to find solutions and drive strategies to a great variety of different very crucial problems. The present study presents a novel analysis which results to clustering countries with respect to active cases, active cases per population and active cases per population and per area based on Johns Hopkins epidemiological data. The presented cluster results could be useful to a variety of different policy makers, such as physicians and managers of the health sector, economy/finance experts, politicians and even to sociologists. In addition, our work suggests a new specially designed clustering algorithm adapted to the request for comparison of the various COVID time-series of different countries.en_US
dc.identifier.citationZarikas, V., Poulopoulos, S. G., Gareiou, Z., & Zervas, E. (2020). Clustering analysis of countries using the COVID-19 cases dataset. Data in Brief, 31, 105787. https://doi.org/10.1016/j.dib.2020.105787en_US
dc.identifier.issn2352-3409
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S2352340920306818?via%3Dihub
dc.identifier.urihttps://doi.org/10.1016/j.dib.2020.105787
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/4907
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofseriesData in Brief;31
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectSARS-CoV-2en_US
dc.subjectClusteringen_US
dc.subjectHierarchical methoden_US
dc.subjectTime seriesen_US
dc.subjectHealth policyen_US
dc.titleClustering analysis of countries using the COVID-19 cases dataseten_US
dc.typeArticleen_US
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