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A cluster analysis of epidemiological and clinical factors associated with the accumulation process of the burden of COVID-19 in European countries
BACKGROUND AND AIM OF THE WORK: European COVID-19 statistics showed differentiation between mortality and new cases. Some studies suggested several factors including migration, cancer incidence, life expectancy and health system capacity maybe associated with differentiations. Up to now, impact of t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mattioli 1885
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7975970/ https://www.ncbi.nlm.nih.gov/pubmed/33682803 http://dx.doi.org/10.23750/abm.v92i1.10090 |
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author | Shojaee, Sajad Eslami, Pegah Dooghaie Moghadam, Arash Pourhoseingholi, Mohamad Amin Ashtari, Sara Vahedian-Azimi, Amir Zali, Mohammad Reza |
author_facet | Shojaee, Sajad Eslami, Pegah Dooghaie Moghadam, Arash Pourhoseingholi, Mohamad Amin Ashtari, Sara Vahedian-Azimi, Amir Zali, Mohammad Reza |
author_sort | Shojaee, Sajad |
collection | PubMed |
description | BACKGROUND AND AIM OF THE WORK: European COVID-19 statistics showed differentiation between mortality and new cases. Some studies suggested several factors including migration, cancer incidence, life expectancy and health system capacity maybe associated with differentiations. Up to now, impact of those factors in different European societies is not discussed and compared. Aim of the present study was to perform the cluster analysis in European countries in attention to clinical and epidemiological factors due to covid-19. METHODS: We collected some appropriate extreme data of COVID-19 to access the situations by ANOVA post-hoc test in 3 scenarios, as well as to estimate regression coefficients in simple linear regression, and a cluster analysis using average linkage. The present study was designed to assess the situation in the European region in the face of COVID-19 from the beginning of the conflict to April 24, 2020. RESULTS: Among 39 European countries, several countries reported highest rate of confirmed cases included of Italy (current statues=2270.52) and Spain (current status=2616.24). The highest rate of mortality was seen in France (current status=242.16), Italy (current status=305.52). Life expectancy (female) (P=0.01, 95%Cl=1521.27,15264.58), migration (P<0.001, 95%Cl=41.42,96.72) had significant association with confirmed cases and death. Overall cancer death (P<0.001, 95%Cl=0.36,0.68; P<0.001, 95%Cl=0.01,0.07) and lung cancer death (P<0.001, 95%Cl=1.97,3.56; P<0.001, 95%Cl=0.09,0.37) associated with confirmed cases and mortality, too. We were also determined 5 clusters which more than 30 countries were categorized in the first cluster. CONCLUSIONS: Demographic factors, including population, life expectancy and migration, underlying disorders, such as several types of cancers, especially lung cancers lead to various distribution of COVID-19 in terms of prevalence and mortality, across European counties. (www.actabiomedica.it) |
format | Online Article Text |
id | pubmed-7975970 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Mattioli 1885 |
record_format | MEDLINE/PubMed |
spelling | pubmed-79759702021-03-24 A cluster analysis of epidemiological and clinical factors associated with the accumulation process of the burden of COVID-19 in European countries Shojaee, Sajad Eslami, Pegah Dooghaie Moghadam, Arash Pourhoseingholi, Mohamad Amin Ashtari, Sara Vahedian-Azimi, Amir Zali, Mohammad Reza Acta Biomed Original Investigations/Commentaries BACKGROUND AND AIM OF THE WORK: European COVID-19 statistics showed differentiation between mortality and new cases. Some studies suggested several factors including migration, cancer incidence, life expectancy and health system capacity maybe associated with differentiations. Up to now, impact of those factors in different European societies is not discussed and compared. Aim of the present study was to perform the cluster analysis in European countries in attention to clinical and epidemiological factors due to covid-19. METHODS: We collected some appropriate extreme data of COVID-19 to access the situations by ANOVA post-hoc test in 3 scenarios, as well as to estimate regression coefficients in simple linear regression, and a cluster analysis using average linkage. The present study was designed to assess the situation in the European region in the face of COVID-19 from the beginning of the conflict to April 24, 2020. RESULTS: Among 39 European countries, several countries reported highest rate of confirmed cases included of Italy (current statues=2270.52) and Spain (current status=2616.24). The highest rate of mortality was seen in France (current status=242.16), Italy (current status=305.52). Life expectancy (female) (P=0.01, 95%Cl=1521.27,15264.58), migration (P<0.001, 95%Cl=41.42,96.72) had significant association with confirmed cases and death. Overall cancer death (P<0.001, 95%Cl=0.36,0.68; P<0.001, 95%Cl=0.01,0.07) and lung cancer death (P<0.001, 95%Cl=1.97,3.56; P<0.001, 95%Cl=0.09,0.37) associated with confirmed cases and mortality, too. We were also determined 5 clusters which more than 30 countries were categorized in the first cluster. CONCLUSIONS: Demographic factors, including population, life expectancy and migration, underlying disorders, such as several types of cancers, especially lung cancers lead to various distribution of COVID-19 in terms of prevalence and mortality, across European counties. (www.actabiomedica.it) Mattioli 1885 2021 2020-11-10 /pmc/articles/PMC7975970/ /pubmed/33682803 http://dx.doi.org/10.23750/abm.v92i1.10090 Text en Copyright: © 2020 ACTA BIO MEDICA SOCIETY OF MEDICINE AND NATURAL SCIENCES OF PARMA http://creativecommons.org/licenses/by-nc-sa/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License |
spellingShingle | Original Investigations/Commentaries Shojaee, Sajad Eslami, Pegah Dooghaie Moghadam, Arash Pourhoseingholi, Mohamad Amin Ashtari, Sara Vahedian-Azimi, Amir Zali, Mohammad Reza A cluster analysis of epidemiological and clinical factors associated with the accumulation process of the burden of COVID-19 in European countries |
title | A cluster analysis of epidemiological and clinical factors associated with the accumulation process of the burden of COVID-19 in European countries |
title_full | A cluster analysis of epidemiological and clinical factors associated with the accumulation process of the burden of COVID-19 in European countries |
title_fullStr | A cluster analysis of epidemiological and clinical factors associated with the accumulation process of the burden of COVID-19 in European countries |
title_full_unstemmed | A cluster analysis of epidemiological and clinical factors associated with the accumulation process of the burden of COVID-19 in European countries |
title_short | A cluster analysis of epidemiological and clinical factors associated with the accumulation process of the burden of COVID-19 in European countries |
title_sort | cluster analysis of epidemiological and clinical factors associated with the accumulation process of the burden of covid-19 in european countries |
topic | Original Investigations/Commentaries |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7975970/ https://www.ncbi.nlm.nih.gov/pubmed/33682803 http://dx.doi.org/10.23750/abm.v92i1.10090 |
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