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Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland
corona virus
COVID-19
disease curve
epidemiological model
excess mortality
Pearson's correlation
multivariate linear regression
factor analysis
least-squares estimation
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.
cris.lastimport.wos | 2024-04-09T21:39:55Z | |
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.affiliation | Wydział Geografii i Geologii : Instytut Geografii i Gospodarki Przestrzennej | pl |
dc.contributor.author | Kowalski, Piotr Andrzej | pl |
dc.contributor.author | Szwagrzyk, Marcin - 123747 | pl |
dc.contributor.author | Kielpinska, Jolanta | pl |
dc.contributor.author | Konior, Aleksander | pl |
dc.contributor.author | Kusy, Maciej | pl |
dc.date.accession | 2021-09-14 | pl |
dc.date.accessioned | 2021-09-16T10:07:25Z | |
dc.date.available | 2021-09-16T10:07:25Z | |
dc.date.issued | 2021 | pl |
dc.date.openaccess | 0 | |
dc.description.accesstime | w momencie opublikowania | |
dc.description.additional | Bibliogr. | pl |
dc.description.version | ostateczna wersja wydawcy | |
dc.description.volume | 63 | pl |
dc.identifier.articleid | 101284 | pl |
dc.identifier.doi | 10.1016/j.ecoinf.2021.101284 | pl |
dc.identifier.eissn | 1878-0512 | pl |
dc.identifier.issn | 1574-9541 | pl |
dc.identifier.project | ROD UJ / OP | pl |
dc.identifier.uri | https://ruj.uj.edu.pl/xmlui/handle/item/278543 | |
dc.identifier.weblink | https://www.sciencedirect.com/science/article/pii/S1574954121000753 | pl |
dc.language | eng | pl |
dc.language.container | eng | pl |
dc.rights | Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa | * |
dc.rights.licence | CC-BY | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/legalcode.pl | * |
dc.share.type | inne | |
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.subtype | Article | pl |
dc.title | Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland | pl |
dc.title.journal | Ecological Informatics | pl |
dc.type | JournalArticle | pl |
dspace.entity.type | Publication |
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Except as otherwise noted, this item is licensed under the Attribution 4.0 International licence