Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Shojaee, Sajad, Eslami, Pegah, Dooghaie Moghadam, Arash, Pourhoseingholi, Mohamad Amin, Ashtari, Sara, Vahedian-Azimi, Amir, Zali, Mohammad Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mattioli 1885 2021
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
_version_ 1783667004737060864
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
work_keys_str_mv AT shojaeesajad aclusteranalysisofepidemiologicalandclinicalfactorsassociatedwiththeaccumulationprocessoftheburdenofcovid19ineuropeancountries
AT eslamipegah aclusteranalysisofepidemiologicalandclinicalfactorsassociatedwiththeaccumulationprocessoftheburdenofcovid19ineuropeancountries
AT dooghaiemoghadamarash aclusteranalysisofepidemiologicalandclinicalfactorsassociatedwiththeaccumulationprocessoftheburdenofcovid19ineuropeancountries
AT pourhoseingholimohamadamin aclusteranalysisofepidemiologicalandclinicalfactorsassociatedwiththeaccumulationprocessoftheburdenofcovid19ineuropeancountries
AT ashtarisara aclusteranalysisofepidemiologicalandclinicalfactorsassociatedwiththeaccumulationprocessoftheburdenofcovid19ineuropeancountries
AT vahedianazimiamir aclusteranalysisofepidemiologicalandclinicalfactorsassociatedwiththeaccumulationprocessoftheburdenofcovid19ineuropeancountries
AT zalimohammadreza aclusteranalysisofepidemiologicalandclinicalfactorsassociatedwiththeaccumulationprocessoftheburdenofcovid19ineuropeancountries
AT shojaeesajad clusteranalysisofepidemiologicalandclinicalfactorsassociatedwiththeaccumulationprocessoftheburdenofcovid19ineuropeancountries
AT eslamipegah clusteranalysisofepidemiologicalandclinicalfactorsassociatedwiththeaccumulationprocessoftheburdenofcovid19ineuropeancountries
AT dooghaiemoghadamarash clusteranalysisofepidemiologicalandclinicalfactorsassociatedwiththeaccumulationprocessoftheburdenofcovid19ineuropeancountries
AT pourhoseingholimohamadamin clusteranalysisofepidemiologicalandclinicalfactorsassociatedwiththeaccumulationprocessoftheburdenofcovid19ineuropeancountries
AT ashtarisara clusteranalysisofepidemiologicalandclinicalfactorsassociatedwiththeaccumulationprocessoftheburdenofcovid19ineuropeancountries
AT vahedianazimiamir clusteranalysisofepidemiologicalandclinicalfactorsassociatedwiththeaccumulationprocessoftheburdenofcovid19ineuropeancountries
AT zalimohammadreza clusteranalysisofepidemiologicalandclinicalfactorsassociatedwiththeaccumulationprocessoftheburdenofcovid19ineuropeancountries