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

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 Centra...

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Autores principales: Kowalski, Piotr Andrzej, Szwagrzyk, Marcin, Kielpinska, Jolanta, Konior, Aleksander, Kusy, Maciej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8006517/
https://www.ncbi.nlm.nih.gov/pubmed/33815029
http://dx.doi.org/10.1016/j.ecoinf.2021.101284
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author Kowalski, Piotr Andrzej
Szwagrzyk, Marcin
Kielpinska, Jolanta
Konior, Aleksander
Kusy, Maciej
author_facet Kowalski, Piotr Andrzej
Szwagrzyk, Marcin
Kielpinska, Jolanta
Konior, Aleksander
Kusy, Maciej
author_sort Kowalski, Piotr Andrzej
collection PubMed
description 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.
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spelling pubmed-80065172021-03-29 Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland Kowalski, Piotr Andrzej Szwagrzyk, Marcin Kielpinska, Jolanta Konior, Aleksander Kusy, Maciej Ecol Inform Article 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. The Authors. Published by Elsevier B.V. 2021-07 2021-03-29 /pmc/articles/PMC8006517/ /pubmed/33815029 http://dx.doi.org/10.1016/j.ecoinf.2021.101284 Text en © 2021 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Kowalski, Piotr Andrzej
Szwagrzyk, Marcin
Kielpinska, Jolanta
Konior, Aleksander
Kusy, Maciej
Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland
title Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland
title_full Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland
title_fullStr Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland
title_full_unstemmed Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland
title_short Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland
title_sort numerical analysis of factors, pace and intensity of the corona virus (covid-19) epidemic in poland
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8006517/
https://www.ncbi.nlm.nih.gov/pubmed/33815029
http://dx.doi.org/10.1016/j.ecoinf.2021.101284
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