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Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland

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Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland

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dc.contributor.author Kowalski, Piotr Andrzej pl
dc.contributor.author Szwagrzyk, Marcin [USOS69771] pl
dc.contributor.author Kielpinska, Jolanta pl
dc.contributor.author Konior, Aleksander pl
dc.contributor.author Kusy, Maciej pl
dc.date.accessioned 2021-09-16T10:07:25Z
dc.date.available 2021-09-16T10:07:25Z
dc.date.issued 2021 pl
dc.identifier.issn 1574-9541 pl
dc.identifier.uri https://ruj.uj.edu.pl/xmlui/handle/item/278543
dc.language eng pl
dc.rights Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/pl/legalcode *
dc.title Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland pl
dc.type JournalArticle pl
dc.description.additional Bibliogr. pl
dc.identifier.weblink https://www.sciencedirect.com/science/article/pii/S1574954121000753 pl
dc.abstract.en This article focuses on a statistical analysis of the corona virus disease 2019 (COVID-19) data that appeared until November 31, 2020 in Poland. The studied database, expressed in terms of both population and air pollution (particulate) indicators, is provided mainly by the Airly company, the Central Statistical Office (GUS) and the Rogalski project. The particular measured factors, which underwent standardization, were assessed for mutual dependency by means of a Pearson correlation coefficient and analysed by a linear regression. Based on the presented models, our results indicate that air quality (air pollution level) is the most important factor in the context of enabling COVID-19 case load increase in Poland. pl
dc.subject.en corona virus pl
dc.subject.en COVID-19 pl
dc.subject.en disease curve pl
dc.subject.en epidemiological model pl
dc.subject.en excess mortality pl
dc.subject.en Pearson's correlation pl
dc.subject.en multivariate linear regression pl
dc.subject.en factor analysis pl
dc.subject.en least-squares estimation pl
dc.description.volume 63 pl
dc.identifier.doi 10.1016/j.ecoinf.2021.101284 pl
dc.identifier.eissn 1878-0512 pl
dc.title.journal Ecological Informatics pl
dc.language.container eng pl
dc.date.accession 2021-09-14 pl
dc.affiliation Wydział Geografii i Geologii : Instytut Geografii i Gospodarki Przestrzennej pl
dc.subtype Article pl
dc.identifier.articleid 101284 pl
dc.rights.original CC-BY; inne; ostateczna wersja wydawcy; w momencie opublikowania; 0 pl
dc.identifier.project ROD UJ / OP pl
.pointsMNiSW [2021 A]: 100


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Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa Except where otherwise noted, this item's license is described as Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa