Europe's War against COVID-19: A Map of Countries' Disease Vulnerability Using Mortality Indicators.
Identifieur interne : 000589 ( Main/Exploration ); précédent : 000588; suivant : 000590Europe's War against COVID-19: A Map of Countries' Disease Vulnerability Using Mortality Indicators.
Auteurs : Alexandra Horobet [Roumanie] ; Anca Angela Simionescu [Roumanie] ; Dan Gabriel Dumitrescu [Roumanie] ; Lucian Belascu [Roumanie]Source :
- International journal of environmental research and public health [ 1660-4601 ] ; 2020.
Descripteurs français
- KwdFr :
- MESH :
- mortalité : Infections à coronavirus, Pneumopathie virale.
- épidémiologie : Europe, Infections à coronavirus, Pneumopathie virale.
- Betacoronavirus, Coronavirus, Humains, Mortalité, Pandémies, Sujet âgé.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : Europe.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- mortality : Coronavirus Infections, Pneumonia, Viral.
- Aged, Betacoronavirus, Coronavirus, Humans, Mortality, Pandemics.
Abstract
Specific and older age-associated comorbidities increase mortality risk in severe forms of coronavirus disease (COVID-19). We matched COVID-19 comorbidities with causes of death in 28 EU countries for the total population and for the population above 65 years and applied a machine-learning-based tree clustering algorithm on shares of death for COVID-19 comorbidities and for influenza and on their growth rates between 2011 and 2016. We distributed EU countries in clusters and drew a map of the EU populations' vulnerabilities to COVID-19 comorbidities and to influenza. Noncommunicable diseases had impressive shares of death in the EU but with substantial differences between eastern and western countries. The tree clustering algorithm accurately indicated the presence of western and eastern country clusters, with significantly different patterns of disease shares of death and growth rates. Western populations displayed higher vulnerability to malignancy, blood-related diseases, and diabetes mellitus and lower respiratory diseases, while eastern countries' populations suffered more from ischaemic heart, cerebrovascular, and circulatory diseases. Dissimilarities between EU countries were also present when influenza was considered. The heat maps of EU populations' vulnerability to diseases based on mortality indicators constitute the basis for more targeted health policy strategies in a collaborative effort at the EU level.
DOI: 10.3390/ijerph17186565
PubMed: 32916973
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Anca Angela" sort="Simionescu, Anca Angela" uniqKey="Simionescu A" first="Anca Angela" last="Simionescu">Anca Angela Simionescu</name><affiliation wicri:level="1"><nlm:affiliation>Carol Davila University of Medicine and Pharmacy, Department of Obstetrics and Gynecology, Filantropia Hospital, 020021 Bucharest, Romania.</nlm:affiliation><country xml:lang="fr">Roumanie</country><wicri:regionArea>Carol Davila University of Medicine and Pharmacy, Department of Obstetrics and Gynecology, Filantropia Hospital, 020021 Bucharest</wicri:regionArea><wicri:noRegion>020021 Bucharest</wicri:noRegion></affiliation></author><author><name sortKey="Dumitrescu, Dan Gabriel" sort="Dumitrescu, Dan Gabriel" uniqKey="Dumitrescu D" first="Dan Gabriel" last="Dumitrescu">Dan Gabriel Dumitrescu</name><affiliation wicri:level="1"><nlm:affiliation>Department of International Business and Economics, The Bucharest University of Economic Studies, 010374 Bucharest, Romania.</nlm:affiliation><country xml:lang="fr">Roumanie</country><wicri:regionArea>Department of International Business and Economics, The Bucharest University of Economic Studies, 010374 Bucharest</wicri:regionArea><wicri:noRegion>010374 Bucharest</wicri:noRegion></affiliation></author><author><name sortKey="Belascu, Lucian" sort="Belascu, Lucian" uniqKey="Belascu L" first="Lucian" last="Belascu">Lucian Belascu</name><affiliation wicri:level="1"><nlm:affiliation>Department of Management, Marketing and Business Administration, Lucian Blaga University of Sibiu, 550024 Sibiu, Romania.</nlm:affiliation><country xml:lang="fr">Roumanie</country><wicri:regionArea>Department of Management, Marketing and Business Administration, Lucian Blaga University of Sibiu, 550024 Sibiu</wicri:regionArea><wicri:noRegion>550024 Sibiu</wicri:noRegion></affiliation></author></analytic><series><title level="j">International journal of environmental research and public health</title><idno type="eISSN">1660-4601</idno><imprint><date 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We matched COVID-19 comorbidities with causes of death in 28 EU countries for the total population and for the population above 65 years and applied a machine-learning-based tree clustering algorithm on shares of death for COVID-19 comorbidities and for influenza and on their growth rates between 2011 and 2016. We distributed EU countries in clusters and drew a map of the EU populations' vulnerabilities to COVID-19 comorbidities and to influenza. Noncommunicable diseases had impressive shares of death in the EU but with substantial differences between eastern and western countries. The tree clustering algorithm accurately indicated the presence of western and eastern country clusters, with significantly different patterns of disease shares of death and growth rates. Western populations displayed higher vulnerability to malignancy, blood-related diseases, and diabetes mellitus and lower respiratory diseases, while eastern countries' populations suffered more from ischaemic heart, cerebrovascular, and circulatory diseases. Dissimilarities between EU countries were also present when influenza was considered. The heat maps of EU populations' vulnerability to diseases based on mortality indicators constitute the basis for more targeted health policy strategies in a collaborative effort at the EU level.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">32916973</PMID><DateCompleted><Year>2020</Year><Month>09</Month><Day>18</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>18</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1660-4601</ISSN><JournalIssue CitedMedium="Internet"><Volume>17</Volume><Issue>18</Issue><PubDate><Year>2020</Year><Month>09</Month><Day>09</Day></PubDate></JournalIssue><Title>International journal of environmental research and public health</Title><ISOAbbreviation>Int J Environ Res Public Health</ISOAbbreviation></Journal><ArticleTitle>Europe's War against COVID-19: A Map of Countries' Disease Vulnerability Using Mortality Indicators.</ArticleTitle><ELocationID EIdType="pii" ValidYN="Y">E6565</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.3390/ijerph17186565</ELocationID><Abstract><AbstractText>Specific and older age-associated comorbidities increase mortality risk in severe forms of coronavirus disease (COVID-19). We matched COVID-19 comorbidities with causes of death in 28 EU countries for the total population and for the population above 65 years and applied a machine-learning-based tree clustering algorithm on shares of death for COVID-19 comorbidities and for influenza and on their growth rates between 2011 and 2016. We distributed EU countries in clusters and drew a map of the EU populations' vulnerabilities to COVID-19 comorbidities and to influenza. Noncommunicable diseases had impressive shares of death in the EU but with substantial differences between eastern and western countries. The tree clustering algorithm accurately indicated the presence of western and eastern country clusters, with significantly different patterns of disease shares of death and growth rates. Western populations displayed higher vulnerability to malignancy, blood-related diseases, and diabetes mellitus and lower respiratory diseases, while eastern countries' populations suffered more from ischaemic heart, cerebrovascular, and circulatory diseases. Dissimilarities between EU countries were also present when influenza was considered. The heat maps of EU populations' vulnerability to diseases based on mortality indicators constitute the basis for more targeted health policy strategies in a collaborative effort at the EU level.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Horobet</LastName><ForeName>Alexandra</ForeName><Initials>A</Initials><Identifier Source="ORCID">0000-0001-5821-0244</Identifier><AffiliationInfo><Affiliation>Department of International Business and Economics, The Bucharest University of Economic Studies, 010374 Bucharest, Romania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Simionescu</LastName><ForeName>Anca Angela</ForeName><Initials>AA</Initials><AffiliationInfo><Affiliation>Carol Davila University of Medicine and Pharmacy, Department of Obstetrics and Gynecology, Filantropia Hospital, 020021 Bucharest, Romania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Dumitrescu</LastName><ForeName>Dan Gabriel</ForeName><Initials>DG</Initials><AffiliationInfo><Affiliation>Department of International Business and Economics, The Bucharest University of Economic Studies, 010374 Bucharest, Romania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Belascu</LastName><ForeName>Lucian</ForeName><Initials>L</Initials><Identifier Source="ORCID">0000-0002-7711-3746</Identifier><AffiliationInfo><Affiliation>Department of Management, Marketing and Business Administration, Lucian Blaga University of Sibiu, 550024 Sibiu, Romania.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>09</Month><Day>09</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Int J Environ Res Public Health</MedlineTA><NlmUniqueID>101238455</NlmUniqueID><ISSNLinking>1660-4601</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName><SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017934" MajorTopicYN="Y">Coronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005060" MajorTopicYN="N" Type="Geographic">Europe</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009026" MajorTopicYN="Y">Mortality</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">COVID-19</Keyword><Keyword MajorTopicYN="Y">Europe</Keyword><Keyword MajorTopicYN="Y">comorbidities</Keyword><Keyword MajorTopicYN="Y">eastern countries</Keyword><Keyword MajorTopicYN="Y">mortality</Keyword><Keyword MajorTopicYN="Y">western countries</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>08</Month><Day>08</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>09</Month><Day>05</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>09</Month><Day>07</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>9</Month><Day>12</Day><Hour>1</Hour><Minute>2</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>9</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>9</Month><Day>20</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32916973</ArticleId><ArticleId IdType="pii">ijerph17186565</ArticleId><ArticleId IdType="doi">10.3390/ijerph17186565</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Roumanie</li></country></list><tree><country name="Roumanie"><noRegion><name sortKey="Horobet, Alexandra" sort="Horobet, Alexandra" uniqKey="Horobet A" first="Alexandra" last="Horobet">Alexandra Horobet</name></noRegion><name sortKey="Belascu, Lucian" sort="Belascu, Lucian" uniqKey="Belascu L" first="Lucian" last="Belascu">Lucian Belascu</name><name sortKey="Dumitrescu, Dan Gabriel" sort="Dumitrescu, Dan Gabriel" uniqKey="Dumitrescu D" first="Dan Gabriel" last="Dumitrescu">Dan Gabriel Dumitrescu</name><name sortKey="Simionescu, Anca Angela" sort="Simionescu, Anca Angela" uniqKey="Simionescu A" first="Anca Angela" last="Simionescu">Anca Angela Simionescu</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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