COVID-19 Pandemic and Burden of Non-Communicable Diseases: An Ecological Study on Data of 185 Countries.
Identifieur interne : 000605 ( Main/Corpus ); précédent : 000604; suivant : 000606COVID-19 Pandemic and Burden of Non-Communicable Diseases: An Ecological Study on Data of 185 Countries.
Auteurs : M Reza Azarpazhooh ; Negar Morovatdar ; Abolfazl Avan ; Thanh G. Phan ; Afshin A. Divani ; Nawaf Yassi ; Saverio Stranges ; Brian Silver ; José Biller ; Masoud Tokazebani Belasi ; Sepideh Kazemi Neya ; Bita Khorram ; Asher Frydman ; Yongchai Nilanont ; Elisa Onorati ; Mario Di NapoliSource :
- Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association [ 1532-8511 ] ; 2020.
English descriptors
- KwdEn :
- Age Factors (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Betacoronavirus (pathogenicity), Cause of Death (MeSH), Coronavirus Infections (epidemiology), Coronavirus Infections (mortality), Coronavirus Infections (prevention & control), Coronavirus Infections (virology), Cost of Illness (MeSH), Databases, Factual (MeSH), Female (MeSH), Global Health (MeSH), Health Services Needs and Demand (MeSH), Health Status Disparities (MeSH), Healthcare Disparities (MeSH), Host-Pathogen Interactions (MeSH), Humans (MeSH), Incidence (MeSH), Infection Control (MeSH), Male (MeSH), Middle Aged (MeSH), Needs Assessment (MeSH), Noncommunicable Diseases (epidemiology), Noncommunicable Diseases (mortality), Noncommunicable Diseases (prevention & control), Pandemics (prevention & control), Pneumonia, Viral (epidemiology), Pneumonia, Viral (mortality), Pneumonia, Viral (prevention & control), Pneumonia, Viral (virology), Prognosis (MeSH), Risk Factors (MeSH), Time Factors (MeSH).
- MESH :
- epidemiology : Coronavirus Infections, Noncommunicable Diseases, Pneumonia, Viral.
- mortality : Coronavirus Infections, Noncommunicable Diseases, Pneumonia, Viral.
- pathogenicity : Betacoronavirus.
- prevention & control : Coronavirus Infections, Noncommunicable Diseases, Pandemics, Pneumonia, Viral.
- virology : Coronavirus Infections, Pneumonia, Viral.
- Age Factors, Aged, Aged, 80 and over, Cause of Death, Cost of Illness, Databases, Factual, Female, Global Health, Health Services Needs and Demand, Health Status Disparities, Healthcare Disparities, Host-Pathogen Interactions, Humans, Incidence, Infection Control, Male, Middle Aged, Needs Assessment, Prognosis, Risk Factors, Time Factors.
Abstract
BACKGROUND
The interaction between coronavirus disease 2019 (COVID-19) and non-communicable diseases may increase the global burden of disease. We assessed the association of COVID-19 with ageing and non-communicable diseases.
METHODS
We extracted data regarding non-communicable disease, particularly cardiovascular disease, deaths, disability-adjusted life years (DALYs), and healthy life expectancy (HALE) from the Global Burden of Disease Study (GBD) 2017. We obtained data of confirmed COVID-19 cases, deaths, and tests from the Our World in Data database as of May 28, 2020. Potential confounders of pandemic outcomes analyzed include institutional lockdown delay, hemispheric geographical location, and number of tourists. We compared all countries according to GBD classification and World Bank income level. We assessed the correlation between independent variables associated with COVID-19 caseload and mortality using Spearman's rank correlation and adjusted mixed model analysis.
FINDINGS
High-income had the highest, and the Southeast Asia, East Asia, and Oceania region had the least cases per million population (3050.60 vs. 63.86). Sub-saharan region has reported the lowest number of COVID-19 mortality (1.9). Median delay to lockdown initiation varied from one day following the first case in Latin America and Caribbean region, to 34 days in Southeast Asia, East Asia, and Oceania. Globally, non-communicable disease DALYs were correlated with COVID-19 cases (r = 0.32, p<0.001) and deaths (r = 0.37, p<0.001). HALE correlated with COVID-19 cases (r = 0.63, p<0.001) and deaths (r = 0.61, p<0.001). HALE was independently associated with COVID-19 case rate and the number of tourists was associated with COVID-19 mortality in the adjusted model.
INTERPRETATION
Preventive measures against COVID-19 should protect the public from the dual burden of communicable and non-communicable diseases, particularly in the elderly. In addition to active COVID-19 surveillance, policymakers should utilize this evidence as a guide for prevention and coordination of health services. This model is timely, as many countries have begun to reduce social isolation.
DOI: 10.1016/j.jstrokecerebrovasdis.2020.105089
PubMed: 32807484
PubMed Central: PMC7315949
Links to Exploration step
pubmed:32807484Le document en format XML
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Electronic address: mariodinapoli@katamail.com.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32807484</idno><idno type="pmid">32807484</idno><idno type="doi">10.1016/j.jstrokecerebrovasdis.2020.105089</idno><idno type="pmc">PMC7315949</idno><idno type="wicri:Area/Main/Corpus">000605</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000605</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">COVID-19 Pandemic and Burden of Non-Communicable Diseases: An Ecological Study on Data of 185 Countries.</title><author><name sortKey="Azarpazhooh, M Reza" sort="Azarpazhooh, M Reza" uniqKey="Azarpazhooh M" first="M Reza" last="Azarpazhooh">M Reza Azarpazhooh</name><affiliation><nlm:affiliation>Stroke Prevention and Atherosclerosis Research Centre, Robarts Research Institute, Western University, London, Ontario, Canada; Department of Clinical Neurological Sciences, Western University, London, Ontario, Canada; Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.</nlm:affiliation></affiliation></author><author><name sortKey="Morovatdar, Negar" sort="Morovatdar, Negar" uniqKey="Morovatdar N" first="Negar" last="Morovatdar">Negar Morovatdar</name><affiliation><nlm:affiliation>Clinical Research Development Unit, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.</nlm:affiliation></affiliation></author><author><name sortKey="Avan, Abolfazl" sort="Avan, Abolfazl" uniqKey="Avan A" first="Abolfazl" last="Avan">Abolfazl Avan</name><affiliation><nlm:affiliation>Department of Public Health, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.</nlm:affiliation></affiliation></author><author><name sortKey="Phan, Thanh G" sort="Phan, Thanh G" uniqKey="Phan T" first="Thanh G" last="Phan">Thanh G. Phan</name><affiliation><nlm:affiliation>Department of Neurology Monash Health, Clinical Trials, Imaging and Informatics division of Stroke and Ageing Research Group, Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, Australia.</nlm:affiliation></affiliation></author><author><name sortKey="Divani, Afshin A" sort="Divani, Afshin A" uniqKey="Divani A" first="Afshin A" last="Divani">Afshin A. Divani</name><affiliation><nlm:affiliation>Department of Neurology, School of Medicine, University of New Mexico, Albuquerque, NM, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Yassi, Nawaf" sort="Yassi, Nawaf" uniqKey="Yassi N" first="Nawaf" last="Yassi">Nawaf Yassi</name><affiliation><nlm:affiliation>Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia; Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.</nlm:affiliation></affiliation></author><author><name sortKey="Stranges, Saverio" sort="Stranges, Saverio" uniqKey="Stranges S" first="Saverio" last="Stranges">Saverio Stranges</name><affiliation><nlm:affiliation>Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; Department of Family Medicine, Schulich School of Medicine and Dentistry Western University, London, ON, Canada; Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.</nlm:affiliation></affiliation></author><author><name sortKey="Silver, Brian" sort="Silver, Brian" uniqKey="Silver B" first="Brian" last="Silver">Brian Silver</name><affiliation><nlm:affiliation>Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Biller, Jose" sort="Biller, Jose" uniqKey="Biller J" first="José" last="Biller">José Biller</name><affiliation><nlm:affiliation>Department of Neurology, Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Tokazebani Belasi, Masoud" sort="Tokazebani Belasi, Masoud" uniqKey="Tokazebani Belasi M" first="Masoud" last="Tokazebani Belasi">Masoud Tokazebani Belasi</name><affiliation><nlm:affiliation>Research centre for Prevention of cardiovascular disease, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran.</nlm:affiliation></affiliation></author><author><name sortKey="Kazemi Neya, Sepideh" sort="Kazemi Neya, Sepideh" uniqKey="Kazemi Neya S" first="Sepideh" last="Kazemi Neya">Sepideh Kazemi Neya</name><affiliation><nlm:affiliation>Research centre for Prevention of cardiovascular disease, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran.</nlm:affiliation></affiliation></author><author><name sortKey="Khorram, Bita" sort="Khorram, Bita" uniqKey="Khorram B" first="Bita" last="Khorram">Bita Khorram</name><affiliation><nlm:affiliation>Dalla Lana School of Public Health, University of Toronto; Toronto, ON, Canada.</nlm:affiliation></affiliation></author><author><name sortKey="Frydman, Asher" sort="Frydman, Asher" uniqKey="Frydman A" first="Asher" last="Frydman">Asher Frydman</name><affiliation><nlm:affiliation>Stroke Prevention and Atherosclerosis Research Centre, Robarts Research Institute, Western University, London, Ontario, Canada.</nlm:affiliation></affiliation></author><author><name sortKey="Nilanont, Yongchai" sort="Nilanont, Yongchai" uniqKey="Nilanont Y" first="Yongchai" last="Nilanont">Yongchai Nilanont</name><affiliation><nlm:affiliation>Siriraj Stroke Center, Department of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.</nlm:affiliation></affiliation></author><author><name sortKey="Onorati, Elisa" sort="Onorati, Elisa" uniqKey="Onorati E" first="Elisa" last="Onorati">Elisa Onorati</name><affiliation><nlm:affiliation>Department of Neurology and Stroke Unit, San Camillo de' Lellis General District Hospital, Rieti, Italy.</nlm:affiliation></affiliation></author><author><name sortKey="Di Napoli, Mario" sort="Di Napoli, Mario" uniqKey="Di Napoli M" first="Mario" last="Di Napoli">Mario Di Napoli</name><affiliation><nlm:affiliation>Department of Neurology and Stroke Unit, San Camillo de' Lellis General District Hospital, Rieti, Italy; Neurological Section, Neuro-epidemiology Unit, SMDN-Centre for Cardiovascular Medicine and Cerebrovascular Disease Prevention, Sulmona, L'Aquila, Italy. Electronic address: mariodinapoli@katamail.com.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association</title><idno type="eISSN">1532-8511</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Age Factors (MeSH)</term><term>Aged (MeSH)</term><term>Aged, 80 and over (MeSH)</term><term>Betacoronavirus (pathogenicity)</term><term>Cause of Death (MeSH)</term><term>Coronavirus Infections (epidemiology)</term><term>Coronavirus Infections (mortality)</term><term>Coronavirus Infections (prevention & control)</term><term>Coronavirus Infections (virology)</term><term>Cost of Illness (MeSH)</term><term>Databases, Factual (MeSH)</term><term>Female (MeSH)</term><term>Global Health (MeSH)</term><term>Health Services Needs and Demand (MeSH)</term><term>Health Status Disparities (MeSH)</term><term>Healthcare Disparities (MeSH)</term><term>Host-Pathogen Interactions (MeSH)</term><term>Humans (MeSH)</term><term>Incidence (MeSH)</term><term>Infection Control (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Needs Assessment (MeSH)</term><term>Noncommunicable Diseases (epidemiology)</term><term>Noncommunicable Diseases (mortality)</term><term>Noncommunicable Diseases (prevention & control)</term><term>Pandemics (prevention & control)</term><term>Pneumonia, Viral (epidemiology)</term><term>Pneumonia, Viral (mortality)</term><term>Pneumonia, Viral (prevention & control)</term><term>Pneumonia, Viral (virology)</term><term>Prognosis (MeSH)</term><term>Risk Factors (MeSH)</term><term>Time Factors (MeSH)</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Noncommunicable Diseases</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>Coronavirus Infections</term><term>Noncommunicable Diseases</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="pathogenicity" xml:lang="en"><term>Betacoronavirus</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Coronavirus Infections</term><term>Noncommunicable Diseases</term><term>Pandemics</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Age Factors</term><term>Aged</term><term>Aged, 80 and over</term><term>Cause of Death</term><term>Cost of Illness</term><term>Databases, Factual</term><term>Female</term><term>Global Health</term><term>Health Services Needs and Demand</term><term>Health Status Disparities</term><term>Healthcare Disparities</term><term>Host-Pathogen Interactions</term><term>Humans</term><term>Incidence</term><term>Infection Control</term><term>Male</term><term>Middle Aged</term><term>Needs Assessment</term><term>Prognosis</term><term>Risk Factors</term><term>Time Factors</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>The interaction between coronavirus disease 2019 (COVID-19) and non-communicable diseases may increase the global burden of disease. We assessed the association of COVID-19 with ageing and non-communicable diseases.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>We extracted data regarding non-communicable disease, particularly cardiovascular disease, deaths, disability-adjusted life years (DALYs), and healthy life expectancy (HALE) from the Global Burden of Disease Study (GBD) 2017. We obtained data of confirmed COVID-19 cases, deaths, and tests from the Our World in Data database as of May 28, 2020. Potential confounders of pandemic outcomes analyzed include institutional lockdown delay, hemispheric geographical location, and number of tourists. We compared all countries according to GBD classification and World Bank income level. We assessed the correlation between independent variables associated with COVID-19 caseload and mortality using Spearman's rank correlation and adjusted mixed model analysis.</p></div><div type="abstract" xml:lang="en"><p><b>FINDINGS</b></p><p>High-income had the highest, and the Southeast Asia, East Asia, and Oceania region had the least cases per million population (3050.60 vs. 63.86). Sub-saharan region has reported the lowest number of COVID-19 mortality (1.9). Median delay to lockdown initiation varied from one day following the first case in Latin America and Caribbean region, to 34 days in Southeast Asia, East Asia, and Oceania. Globally, non-communicable disease DALYs were correlated with COVID-19 cases (r = 0.32, p<0.001) and deaths (r = 0.37, p<0.001). HALE correlated with COVID-19 cases (r = 0.63, p<0.001) and deaths (r = 0.61, p<0.001). HALE was independently associated with COVID-19 case rate and the number of tourists was associated with COVID-19 mortality in the adjusted model.</p></div><div type="abstract" xml:lang="en"><p><b>INTERPRETATION</b></p><p>Preventive measures against COVID-19 should protect the public from the dual burden of communicable and non-communicable diseases, particularly in the elderly. In addition to active COVID-19 surveillance, policymakers should utilize this evidence as a guide for prevention and coordination of health services. This model is timely, as many countries have begun to reduce social isolation.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32807484</PMID><DateCompleted><Year>2020</Year><Month>08</Month><Day>24</Day></DateCompleted><DateRevised><Year>2020</Year><Month>10</Month><Day>03</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1532-8511</ISSN><JournalIssue CitedMedium="Internet"><Volume>29</Volume><Issue>9</Issue><PubDate><Year>2020</Year><Month>Sep</Month></PubDate></JournalIssue><Title>Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association</Title><ISOAbbreviation>J Stroke Cerebrovasc Dis</ISOAbbreviation></Journal><ArticleTitle>COVID-19 Pandemic and Burden of Non-Communicable Diseases: An Ecological Study on Data of 185 Countries.</ArticleTitle><Pagination><MedlinePgn>105089</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S1052-3057(20)30507-3</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.jstrokecerebrovasdis.2020.105089</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The interaction between coronavirus disease 2019 (COVID-19) and non-communicable diseases may increase the global burden of disease. We assessed the association of COVID-19 with ageing and non-communicable diseases.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">We extracted data regarding non-communicable disease, particularly cardiovascular disease, deaths, disability-adjusted life years (DALYs), and healthy life expectancy (HALE) from the Global Burden of Disease Study (GBD) 2017. We obtained data of confirmed COVID-19 cases, deaths, and tests from the Our World in Data database as of May 28, 2020. Potential confounders of pandemic outcomes analyzed include institutional lockdown delay, hemispheric geographical location, and number of tourists. We compared all countries according to GBD classification and World Bank income level. We assessed the correlation between independent variables associated with COVID-19 caseload and mortality using Spearman's rank correlation and adjusted mixed model analysis.</AbstractText><AbstractText Label="FINDINGS" NlmCategory="RESULTS">High-income had the highest, and the Southeast Asia, East Asia, and Oceania region had the least cases per million population (3050.60 vs. 63.86). Sub-saharan region has reported the lowest number of COVID-19 mortality (1.9). Median delay to lockdown initiation varied from one day following the first case in Latin America and Caribbean region, to 34 days in Southeast Asia, East Asia, and Oceania. Globally, non-communicable disease DALYs were correlated with COVID-19 cases (r = 0.32, p<0.001) and deaths (r = 0.37, p<0.001). HALE correlated with COVID-19 cases (r = 0.63, p<0.001) and deaths (r = 0.61, p<0.001). HALE was independently associated with COVID-19 case rate and the number of tourists was associated with COVID-19 mortality in the adjusted model.</AbstractText><AbstractText Label="INTERPRETATION" NlmCategory="CONCLUSIONS">Preventive measures against COVID-19 should protect the public from the dual burden of communicable and non-communicable diseases, particularly in the elderly. In addition to active COVID-19 surveillance, policymakers should utilize this evidence as a guide for prevention and coordination of health services. This model is timely, as many countries have begun to reduce social isolation.</AbstractText><CopyrightInformation>Copyright © 2020 Elsevier Inc. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Azarpazhooh</LastName><ForeName>M Reza</ForeName><Initials>MR</Initials><AffiliationInfo><Affiliation>Stroke Prevention and Atherosclerosis Research Centre, Robarts Research Institute, Western University, London, Ontario, Canada; Department of Clinical Neurological Sciences, Western University, London, Ontario, Canada; Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Morovatdar</LastName><ForeName>Negar</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Clinical Research Development Unit, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Avan</LastName><ForeName>Abolfazl</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department of Public Health, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Phan</LastName><ForeName>Thanh G</ForeName><Initials>TG</Initials><AffiliationInfo><Affiliation>Department of Neurology Monash Health, Clinical Trials, Imaging and Informatics division of Stroke and Ageing Research Group, Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Divani</LastName><ForeName>Afshin A</ForeName><Initials>AA</Initials><AffiliationInfo><Affiliation>Department of Neurology, School of Medicine, University of New Mexico, Albuquerque, NM, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yassi</LastName><ForeName>Nawaf</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia; Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Stranges</LastName><ForeName>Saverio</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; Department of Family Medicine, Schulich School of Medicine and Dentistry Western University, London, ON, Canada; Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Silver</LastName><ForeName>Brian</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Biller</LastName><ForeName>José</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Neurology, Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tokazebani Belasi</LastName><ForeName>Masoud</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Research centre for Prevention of cardiovascular disease, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kazemi Neya</LastName><ForeName>Sepideh</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Research centre for Prevention of cardiovascular disease, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Khorram</LastName><ForeName>Bita</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Dalla Lana School of Public Health, University of Toronto; Toronto, ON, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Frydman</LastName><ForeName>Asher</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Stroke Prevention and Atherosclerosis Research Centre, Robarts Research Institute, Western University, London, Ontario, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Nilanont</LastName><ForeName>Yongchai</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Siriraj Stroke Center, Department of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Onorati</LastName><ForeName>Elisa</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>Department of Neurology and Stroke Unit, San Camillo de' Lellis General District Hospital, Rieti, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Di Napoli</LastName><ForeName>Mario</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Neurology and Stroke Unit, San Camillo de' Lellis General District Hospital, Rieti, Italy; Neurological Section, Neuro-epidemiology Unit, SMDN-Centre for Cardiovascular Medicine and Cerebrovascular Disease Prevention, Sulmona, L'Aquila, Italy. Electronic address: mariodinapoli@katamail.com.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D016448">Multicenter Study</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>06</Month><Day>25</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Stroke Cerebrovasc Dis</MedlineTA><NlmUniqueID>9111633</NlmUniqueID><ISSNLinking>1052-3057</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><CommentsCorrectionsList><CommentsCorrections RefType="CommentIn"><RefSource>J Stroke Cerebrovasc Dis. 2020 Sep;29(9):105104</RefSource><PMID Version="1">32653107</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName><QualifierName UI="Q000472" MajorTopicYN="N">pathogenicity</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002423" MajorTopicYN="N">Cause of Death</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><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D017281" MajorTopicYN="N">Cost of Illness</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016208" MajorTopicYN="N">Databases, Factual</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014943" MajorTopicYN="Y">Global Health</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006301" MajorTopicYN="N">Health Services Needs and Demand</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D054624" MajorTopicYN="N">Health Status Disparities</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D054625" MajorTopicYN="N">Healthcare Disparities</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D054884" MajorTopicYN="N">Host-Pathogen Interactions</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015994" MajorTopicYN="N">Incidence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017053" MajorTopicYN="N">Infection Control</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D020380" MajorTopicYN="N">Needs Assessment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073296" MajorTopicYN="N">Noncommunicable Diseases</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011379" MajorTopicYN="N">Prognosis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Coronavirus</Keyword><Keyword MajorTopicYN="N">Correlation</Keyword><Keyword MajorTopicYN="N">Incidence</Keyword><Keyword MajorTopicYN="N">Mortality</Keyword><Keyword MajorTopicYN="N">Prevention</Keyword><Keyword MajorTopicYN="N">Stroke</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>05</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>06</Month><Day>11</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>06</Month><Day>16</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>8</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>8</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>8</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32807484</ArticleId><ArticleId IdType="pii">S1052-3057(20)30507-3</ArticleId><ArticleId IdType="doi">10.1016/j.jstrokecerebrovasdis.2020.105089</ArticleId><ArticleId IdType="pmc">PMC7315949</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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