Population Risk Factors for COVID-19 Mortality in 93 Countries.
Identifieur interne : 000152 ( Main/Curation ); précédent : 000151; suivant : 000153Population Risk Factors for COVID-19 Mortality in 93 Countries.
Auteurs : Muhammad Jawad Hashim [Émirats arabes unis] ; Ahmed R. Alsuwaidi [Émirats arabes unis] ; Gulfaraz Khan [Émirats arabes unis]Source :
- Journal of epidemiology and global health [ 2210-6014 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Facteurs de risque (MeSH), Facteurs âges (MeSH), Humains (MeSH), Infections à coronavirus (mortalité), Infections à coronavirus (épidémiologie), Mortalité (MeSH), Pandémies (statistiques et données numériques), Pneumopathie virale (mortalité), Pneumopathie virale (épidémiologie), Prévalence (MeSH), Santé mondiale (statistiques et données numériques), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Surveillance de la population (MeSH).
- MESH :
- mortalité : Infections à coronavirus, Pneumopathie virale.
- statistiques et données numériques : Pandémies, Santé mondiale.
- épidémiologie : Infections à coronavirus, Pneumopathie virale.
- Adulte, Adulte d'âge moyen, Facteurs de risque, Facteurs âges, Humains, Mortalité, Prévalence, Sujet âgé, Sujet âgé de 80 ans ou plus, Surveillance de la population.
English descriptors
- KwdEn :
- Adult (MeSH), Age Factors (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Coronavirus Infections (epidemiology), Coronavirus Infections (mortality), Global Health (statistics & numerical data), Humans (MeSH), Middle Aged (MeSH), Mortality (MeSH), Pandemics (statistics & numerical data), Pneumonia, Viral (epidemiology), Pneumonia, Viral (mortality), Population Surveillance (MeSH), Prevalence (MeSH), Risk Factors (MeSH).
- MESH :
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- mortality : Coronavirus Infections, Pneumonia, Viral.
- statistics & numerical data : Global Health, Pandemics.
- Adult, Age Factors, Aged, Aged, 80 and over, Humans, Middle Aged, Mortality, Population Surveillance, Prevalence, Risk Factors.
Abstract
Death rates due to COVID-19 pandemic vary considerably across regions and countries. Case Mortality Rates (CMR) per 100,000 population are more reliable than case-fatality rates per 100 test-positive cases, which are heavily dependent on the extent of viral case testing carried out in a country. We aimed to study the variations in CMR against population risk factors such as aging, underlying chronic diseases and social determinants such as poverty and overcrowding. Data on COVID-19 CMR in 93 countries was analyzed for associations with preexisting prevalence rates of eight diseases [asthma, lung cancer, Chronic Obstructive Pulmonary Disease (COPD), Alzheimer's Disease (AD), hypertension, ischemic heart disease, depression and diabetes], and six socio-demographic factors [Gross Domestic Product (GDP) per capita, unemployment, age over 65 years, urbanization, population density, and socio-demographic index]. These data were analyzed in three steps: correlation analysis, bivariate comparison of countries, and multivariate modelling. Bivariate analysis revealed that COVID-19 CMR were higher in countries that had high prevalence of population risk factors such as AD, lung cancer, asthma and COPD. On multivariate modeling however, AD, COPD, depression and higher GDP predicted increased death rates. Comorbid illnesses such as AD and lung diseases may be more influential than aging alone.
DOI: 10.2991/jegh.k.200721.001
PubMed: 32954710
PubMed Central: PMC7509102
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Case Mortality Rates (CMR) per 100,000 population are more reliable than case-fatality rates per 100 test-positive cases, which are heavily dependent on the extent of viral case testing carried out in a country. We aimed to study the variations in CMR against population risk factors such as aging, underlying chronic diseases and social determinants such as poverty and overcrowding. Data on COVID-19 CMR in 93 countries was analyzed for associations with preexisting prevalence rates of eight diseases [asthma, lung cancer, Chronic Obstructive Pulmonary Disease (COPD), Alzheimer's Disease (AD), hypertension, ischemic heart disease, depression and diabetes], and six socio-demographic factors [Gross Domestic Product (GDP) per capita, unemployment, age over 65 years, urbanization, population density, and socio-demographic index]. These data were analyzed in three steps: correlation analysis, bivariate comparison of countries, and multivariate modelling. Bivariate analysis revealed that COVID-19 CMR were higher in countries that had high prevalence of population risk factors such as AD, lung cancer, asthma and COPD. On multivariate modeling however, AD, COPD, depression and higher GDP predicted increased death rates. Comorbid illnesses such as AD and lung diseases may be more influential than aging alone.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32954710</PMID><DateCompleted><Year>2020</Year><Month>09</Month><Day>30</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>30</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">2210-6014</ISSN><JournalIssue CitedMedium="Internet"><Volume>10</Volume><Issue>3</Issue><PubDate><Year>2020</Year><Month>Sep</Month></PubDate></JournalIssue><Title>Journal of epidemiology and global health</Title><ISOAbbreviation>J Epidemiol Glob Health</ISOAbbreviation></Journal><ArticleTitle>Population Risk Factors for COVID-19 Mortality in 93 Countries.</ArticleTitle><Pagination><MedlinePgn>204-208</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.2991/jegh.k.200721.001</ELocationID><Abstract><AbstractText>Death rates due to COVID-19 pandemic vary considerably across regions and countries. Case Mortality Rates (CMR) per 100,000 population are more reliable than case-fatality rates per 100 test-positive cases, which are heavily dependent on the extent of viral case testing carried out in a country. We aimed to study the variations in CMR against population risk factors such as aging, underlying chronic diseases and social determinants such as poverty and overcrowding. Data on COVID-19 CMR in 93 countries was analyzed for associations with preexisting prevalence rates of eight diseases [asthma, lung cancer, Chronic Obstructive Pulmonary Disease (COPD), Alzheimer's Disease (AD), hypertension, ischemic heart disease, depression and diabetes], and six socio-demographic factors [Gross Domestic Product (GDP) per capita, unemployment, age over 65 years, urbanization, population density, and socio-demographic index]. These data were analyzed in three steps: correlation analysis, bivariate comparison of countries, and multivariate modelling. Bivariate analysis revealed that COVID-19 CMR were higher in countries that had high prevalence of population risk factors such as AD, lung cancer, asthma and COPD. On multivariate modeling however, AD, COPD, depression and higher GDP predicted increased death rates. Comorbid illnesses such as AD and lung diseases may be more influential than aging alone.</AbstractText><CopyrightInformation>© 2020 The Authors. 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MajorTopicYN="Y">Mortality</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000401" MajorTopicYN="Y">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011159" MajorTopicYN="Y">Population Surveillance</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">COVID-19</Keyword><Keyword MajorTopicYN="N">Novel coronavirus</Keyword><Keyword 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