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dc.contributor.authorVarotsos, Costas A.
dc.contributor.authorKrapivin, Vladimir F.
dc.contributor.authorXue, Yong
dc.date.accessioned2021-02-01T09:53:09Z
dc.date.available2021-02-01T09:53:09Z
dc.date.issued2021-01-11
dc.identifier.citationVarotsos, C.A., Krapivin, V.F. and Xue, Y., (2021). 'Diagnostic Model for the Society Safety under Covid-19 Pandemic Conditions'. Safety Science, 136, pp. 1-6.en_US
dc.identifier.issn0925-7535
dc.identifier.doi10.1016/j.ssci.2021.105164
dc.identifier.urihttp://hdl.handle.net/10545/625567
dc.description.abstractThe aim of this paper is to develop an information-modeling method for assessing and predicting the consequences of the COVID-19 pandemic. To this end, a detailed analysis of official statistical information provided by global and national organizations is carried out. The developed method is based on the algorithm of multi-channel big data processing considering the demographic and socio-economic information. COVID-19 data are analyzed using an instability indicator and a system of differential equations that describe the dynamics of four groups of people: susceptible, infected, recovered and dead. Indicators of the global sustainable development in various sectors are considered to analyze COVID-19 data. Stochastic processes induced by COVID-19 are assessed with the instability indicator showing the level of stability of official data and the reduction of the level of uncertainty. It turns out that the number of deaths is rising with the Human Development Index. It is revealed that COVID-19 divides the global population into three groups according to the relationship between Gross Domestic Product and the number of infected people. The prognosis for the number of infected people in December 2020 and January-February 2021 shows negative events which will decrease slowly.en_US
dc.description.sponsorshipN/Aen_US
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.relation.urlhttps://www.sciencedirect.com/science/article/pii/S0925753521000072en_US
dc.rights© 2021 Elsevier Ltd. All rights reserved.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttps://www.elsevier.com/tdm/userlicense/1.0/
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectData Scienceen_US
dc.subjectCovid-19en_US
dc.titleDiagnostic model for the society safety under COVID-19 pandemic conditionsen_US
dc.typeArticleen_US
dc.contributor.departmentUniversity of Athens, Greeceen_US
dc.contributor.departmentKotelnikov’s Institute of Radioengineering and Electronics, Russian Academy of Sciencesen_US
dc.contributor.departmentUniversity of Mining and Technology, Xuzhou, Chinaen_US
dc.contributor.departmentUniversity of Derbyen_US
dc.identifier.journalSafety Scienceen_US
dc.source.journaltitleSafety Science
dc.source.volume136
dc.source.beginpage105164
dcterms.dateAccepted2021-01-05
dc.author.detail785299en_US


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