CovidSeniorV1, Main, Exploration, bibRecord, 000699

Correlation between COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity.

Identifieur interne : 000699 ( Main/Exploration ); précédent : 000698; suivant : 000700

Correlation between COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity.

Auteurs : Sachiko Kodera [Japon] ; Essam A. Rashed [Japon, Égypte] ; Akimasa Hirata [Japon]

Source :

International journal of environmental research and public health [ 1660-4601 ] ; 2020.

RBID : pubmed:32751311

Descripteurs français

KwdFr :
- Betacoronavirus (isolement et purification), Densité de population (MeSH), Humains (MeSH), Humidité (MeSH), Infections à coronavirus (virologie), Infections à coronavirus (épidémiologie), Japon (épidémiologie), Morbidité (MeSH), Pandémies (MeSH), Pneumopathie virale (virologie), Pneumopathie virale (épidémiologie), Prévision (MeSH), Sujet âgé (MeSH), Temps (météorologie) (MeSH), Température (MeSH), Épidémies de maladies (MeSH).
MESH :
- isolement et purification : Betacoronavirus.
- virologie : Infections à coronavirus, Pneumopathie virale.
- épidémiologie : Infections à coronavirus, Japon, Pneumopathie virale.
- Densité de population, Humains, Humidité, Morbidité, Pandémies, Prévision, Sujet âgé, Temps (météorologie), Température, Épidémies de maladies.
Wicri :
- geographic : Japon.

English descriptors

KwdEn :
- Aged (MeSH), Betacoronavirus (isolation & purification), Coronavirus Infections (epidemiology), Coronavirus Infections (virology), Disease Outbreaks (MeSH), Forecasting (MeSH), Humans (MeSH), Humidity (MeSH), Japan (epidemiology), Morbidity (MeSH), Pandemics (MeSH), Pneumonia, Viral (epidemiology), Pneumonia, Viral (virology), Population Density (MeSH), Temperature (MeSH), Weather (MeSH).
MESH :
- geographic , epidemiology : Japan.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- isolation & purification : Betacoronavirus.
- virology : Coronavirus Infections, Pneumonia, Viral.
- Aged, Disease Outbreaks, Forecasting, Humans, Humidity, Morbidity, Pandemics, Population Density, Temperature, Weather.

Abstract

This study analyzed the morbidity and mortality rates of the coronavirus disease (COVID-19) pandemic in different prefectures of Japan. Under the constraint that daily maximum confirmed deaths and daily maximum cases should exceed 4 and 10, respectively, 14 prefectures were included, and cofactors affecting the morbidity and mortality rates were evaluated. In particular, the number of confirmed deaths was assessed, excluding cases of nosocomial infections and nursing home patients. The correlations between the morbidity and mortality rates and population density were statistically significant (p-value < 0.05). In addition, the percentage of elderly population was also found to be non-negligible. Among weather parameters, the maximum temperature and absolute humidity averaged over the duration were found to be in modest correlation with the morbidity and mortality rates. Lower morbidity and mortality rates were observed for higher temperature and absolute humidity. Multivariate linear regression considering these factors showed that the adjusted determination coefficient for the confirmed cases was 0.693 in terms of population density, elderly percentage, and maximum absolute humidity (p-value < 0.01). These findings could be useful for intervention planning during future pandemics, including a potential second COVID-19 outbreak.

DOI: 10.3390/ijerph17155477
PubMed: 32751311
PubMed Central: PMC7432122

Affiliations:

Japon, Égypte

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000841
to stream Main, to step Curation: 000841

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Correlation between COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity.</title>
<author><name sortKey="Kodera, Sachiko" sort="Kodera, Sachiko" uniqKey="Kodera S" first="Sachiko" last="Kodera">Sachiko Kodera</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan.</nlm:affiliation>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya 466-8555</wicri:regionArea>
<wicri:noRegion>Nagoya 466-8555</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Rashed, Essam A" sort="Rashed, Essam A" uniqKey="Rashed E" first="Essam A" last="Rashed">Essam A. Rashed</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan.</nlm:affiliation>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya 466-8555</wicri:regionArea>
<wicri:noRegion>Nagoya 466-8555</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Department of Mathematics, Faculty of Science, Suez Canal University, Ismailia 41522, Egypt.</nlm:affiliation>
<country xml:lang="fr">Égypte</country>
<wicri:regionArea>Department of Mathematics, Faculty of Science, Suez Canal University, Ismailia 41522</wicri:regionArea>
<wicri:noRegion>Ismailia 41522</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Hirata, Akimasa" sort="Hirata, Akimasa" uniqKey="Hirata A" first="Akimasa" last="Hirata">Akimasa Hirata</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan.</nlm:affiliation>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya 466-8555</wicri:regionArea>
<wicri:noRegion>Nagoya 466-8555</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Center of Biomedical Physics and Information Technology, Nagoya Institute of Technology, Nagoya 466-8555, Japan.</nlm:affiliation>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Center of Biomedical Physics and Information Technology, Nagoya Institute of Technology, Nagoya 466-8555</wicri:regionArea>
<wicri:noRegion>Nagoya 466-8555</wicri:noRegion>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2020">2020</date>
<idno type="RBID">pubmed:32751311</idno>
<idno type="pmid">32751311</idno>
<idno type="doi">10.3390/ijerph17155477</idno>
<idno type="pmc">PMC7432122</idno>
<idno type="wicri:Area/Main/Corpus">000841</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000841</idno>
<idno type="wicri:Area/Main/Curation">000841</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000841</idno>
<idno type="wicri:Area/Main/Exploration">000841</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Correlation between COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity.</title>
<author><name sortKey="Kodera, Sachiko" sort="Kodera, Sachiko" uniqKey="Kodera S" first="Sachiko" last="Kodera">Sachiko Kodera</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan.</nlm:affiliation>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya 466-8555</wicri:regionArea>
<wicri:noRegion>Nagoya 466-8555</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Rashed, Essam A" sort="Rashed, Essam A" uniqKey="Rashed E" first="Essam A" last="Rashed">Essam A. Rashed</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan.</nlm:affiliation>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya 466-8555</wicri:regionArea>
<wicri:noRegion>Nagoya 466-8555</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Department of Mathematics, Faculty of Science, Suez Canal University, Ismailia 41522, Egypt.</nlm:affiliation>
<country xml:lang="fr">Égypte</country>
<wicri:regionArea>Department of Mathematics, Faculty of Science, Suez Canal University, Ismailia 41522</wicri:regionArea>
<wicri:noRegion>Ismailia 41522</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Hirata, Akimasa" sort="Hirata, Akimasa" uniqKey="Hirata A" first="Akimasa" last="Hirata">Akimasa Hirata</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan.</nlm:affiliation>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya 466-8555</wicri:regionArea>
<wicri:noRegion>Nagoya 466-8555</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Center of Biomedical Physics and Information Technology, Nagoya Institute of Technology, Nagoya 466-8555, Japan.</nlm:affiliation>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>Center of Biomedical Physics and Information Technology, Nagoya Institute of Technology, Nagoya 466-8555</wicri:regionArea>
<wicri:noRegion>Nagoya 466-8555</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 when="2020" type="published">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged (MeSH)</term>
<term>Betacoronavirus (isolation & purification)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Coronavirus Infections (virology)</term>
<term>Disease Outbreaks (MeSH)</term>
<term>Forecasting (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Humidity (MeSH)</term>
<term>Japan (epidemiology)</term>
<term>Morbidity (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Pneumonia, Viral (virology)</term>
<term>Population Density (MeSH)</term>
<term>Temperature (MeSH)</term>
<term>Weather (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Betacoronavirus (isolement et purification)</term>
<term>Densité de population (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Humidité (MeSH)</term>
<term>Infections à coronavirus (virologie)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Japon (épidémiologie)</term>
<term>Morbidité (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (virologie)</term>
<term>Pneumopathie virale (épidémiologie)</term>
<term>Prévision (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Temps (météorologie) (MeSH)</term>
<term>Température (MeSH)</term>
<term>Épidémies de maladies (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Japan</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Betacoronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Betacoronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Japon</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Aged</term>
<term>Disease Outbreaks</term>
<term>Forecasting</term>
<term>Humans</term>
<term>Humidity</term>
<term>Morbidity</term>
<term>Pandemics</term>
<term>Population Density</term>
<term>Temperature</term>
<term>Weather</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Densité de population</term>
<term>Humains</term>
<term>Humidité</term>
<term>Morbidité</term>
<term>Pandémies</term>
<term>Prévision</term>
<term>Sujet âgé</term>
<term>Temps (météorologie)</term>
<term>Température</term>
<term>Épidémies de maladies</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Japon</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">This study analyzed the morbidity and mortality rates of the coronavirus disease (COVID-19) pandemic in different prefectures of Japan. Under the constraint that daily maximum confirmed deaths and daily maximum cases should exceed 4 and 10, respectively, 14 prefectures were included, and cofactors affecting the morbidity and mortality rates were evaluated. In particular, the number of confirmed deaths was assessed, excluding cases of nosocomial infections and nursing home patients. The correlations between the morbidity and mortality rates and population density were statistically significant (<i>p</i>
-value < 0.05). In addition, the percentage of elderly population was also found to be non-negligible. Among weather parameters, the maximum temperature and absolute humidity averaged over the duration were found to be in modest correlation with the morbidity and mortality rates. Lower morbidity and mortality rates were observed for higher temperature and absolute humidity. Multivariate linear regression considering these factors showed that the adjusted determination coefficient for the confirmed cases was 0.693 in terms of population density, elderly percentage, and maximum absolute humidity (<i>p</i>
-value < 0.01). These findings could be useful for intervention planning during future pandemics, including a potential second COVID-19 outbreak.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">32751311</PMID>
<DateCompleted><Year>2020</Year>
<Month>08</Month>
<Day>21</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>08</Month>
<Day>25</Day>
</DateRevised>
<Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1660-4601</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>17</Volume>
<Issue>15</Issue>
<PubDate><Year>2020</Year>
<Month>07</Month>
<Day>29</Day>
</PubDate>
</JournalIssue>
<Title>International journal of environmental research and public health</Title>
<ISOAbbreviation>Int J Environ Res Public Health</ISOAbbreviation>
</Journal>
<ArticleTitle>Correlation between COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity.</ArticleTitle>
<ELocationID EIdType="pii" ValidYN="Y">E5477</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.3390/ijerph17155477</ELocationID>
<Abstract><AbstractText>This study analyzed the morbidity and mortality rates of the coronavirus disease (COVID-19) pandemic in different prefectures of Japan. Under the constraint that daily maximum confirmed deaths and daily maximum cases should exceed 4 and 10, respectively, 14 prefectures were included, and cofactors affecting the morbidity and mortality rates were evaluated. In particular, the number of confirmed deaths was assessed, excluding cases of nosocomial infections and nursing home patients. The correlations between the morbidity and mortality rates and population density were statistically significant (<i>p</i>
-value < 0.05). In addition, the percentage of elderly population was also found to be non-negligible. Among weather parameters, the maximum temperature and absolute humidity averaged over the duration were found to be in modest correlation with the morbidity and mortality rates. Lower morbidity and mortality rates were observed for higher temperature and absolute humidity. Multivariate linear regression considering these factors showed that the adjusted determination coefficient for the confirmed cases was 0.693 in terms of population density, elderly percentage, and maximum absolute humidity (<i>p</i>
-value < 0.01). These findings could be useful for intervention planning during future pandemics, including a potential second COVID-19 outbreak.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Kodera</LastName>
<ForeName>Sachiko</ForeName>
<Initials>S</Initials>
<Identifier Source="ORCID">0000-0001-6595-0742</Identifier>
<AffiliationInfo><Affiliation>Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Rashed</LastName>
<ForeName>Essam A</ForeName>
<Initials>EA</Initials>
<Identifier Source="ORCID">0000-0001-6571-9807</Identifier>
<AffiliationInfo><Affiliation>Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Mathematics, Faculty of Science, Suez Canal University, Ismailia 41522, Egypt.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hirata</LastName>
<ForeName>Akimasa</ForeName>
<Initials>A</Initials>
<Identifier Source="ORCID">0000-0001-8336-1140</Identifier>
<AffiliationInfo><Affiliation>Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Center of Biomedical Physics and Information Technology, Nagoya Institute of Technology, Nagoya 466-8555, Japan.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>07</Month>
<Day>29</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>
<QualifierName UI="Q000302" MajorTopicYN="Y">isolation & purification</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D004196" MajorTopicYN="N">Disease Outbreaks</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005544" MajorTopicYN="N">Forecasting</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006813" MajorTopicYN="N">Humidity</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007564" MajorTopicYN="N" Type="Geographic">Japan</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009017" MajorTopicYN="N">Morbidity</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="Q000821" MajorTopicYN="N">virology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011156" MajorTopicYN="Y">Population Density</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013696" MajorTopicYN="N">Temperature</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D014887" MajorTopicYN="Y">Weather</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">COVID-19</Keyword>
<Keyword MajorTopicYN="Y">Japan</Keyword>
<Keyword MajorTopicYN="Y">absolute humidity</Keyword>
<Keyword MajorTopicYN="Y">morbidity rate</Keyword>
<Keyword MajorTopicYN="Y">mortality rate</Keyword>
<Keyword MajorTopicYN="Y">temperature</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year>
<Month>06</Month>
<Day>22</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised"><Year>2020</Year>
<Month>07</Month>
<Day>27</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>07</Month>
<Day>27</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2020</Year>
<Month>8</Month>
<Day>6</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2020</Year>
<Month>8</Month>
<Day>6</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2020</Year>
<Month>8</Month>
<Day>22</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>epublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">32751311</ArticleId>
<ArticleId IdType="pii">ijerph17155477</ArticleId>
<ArticleId IdType="doi">10.3390/ijerph17155477</ArticleId>
<ArticleId IdType="pmc">PMC7432122</ArticleId>
</ArticleIdList>
<ReferenceList><Reference><Citation>Sci Total Environ. 2020 Oct 1;737:139659</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32492607</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Sci Total Environ. 2020 Jul 1;724:138201</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32408450</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Int J Environ Res Public Health. 2020 Apr 18;17(8):</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32325763</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Influenza Other Respir Viruses. 2020 Jan;14(1):11-18</Citation>
<ArticleIdList><ArticleId IdType="pubmed">31631558</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Sci Total Environ. 2020 Aug 10;729:139090</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32388137</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Int J Environ Res Public Health. 2020 May 25;17(10):</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32466199</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Sci Rep. 2020 May 8;10(1):7764</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32385282</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>JAMA. 2020 Feb 24;:</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32091533</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Sci Total Environ. 2020 Aug 1;728:138762</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32334157</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Sci Total Environ. 2020 Aug 10;729:139051</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32361460</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Sci Total Environ. 2020 Jul 10;725:138436</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32298883</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Sci Total Environ. 2020 Aug 10;729:138862</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32361443</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Eur Respir J. 2020 May 7;55(5):</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32269084</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Int J Environ Res Public Health. 2020 Jul 24;17(15):</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32722294</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Infect. 2015 Jun;71 Suppl 1:S54-8</Citation>
<ArticleIdList><ArticleId IdType="pubmed">25917802</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Sci Total Environ. 2020 Jul 15;726:138605</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32302812</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Sci Total Environ. 2020 Aug 1;728:138811</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32361118</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Sci Total Environ. 2020 Jul 1;724:138226</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32408453</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Infect Dis. 2020 Apr 16;:</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32301491</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Math Biosci. 2013 Aug;244(2):125-34</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23665296</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Gastrointest Endosc. 2020 Jul;92(1):192-197</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32179106</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Radiology. 2020 Aug;296(2):E32-E40</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32101510</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Sci Total Environ. 2020 Jul 15;726:138513</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32304942</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Sci Total Environ. 2020 Sep 20;736:139487</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32479958</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>Japon</li>
<li>Égypte</li>
</country>
</list>
<tree><country name="Japon"><noRegion><name sortKey="Kodera, Sachiko" sort="Kodera, Sachiko" uniqKey="Kodera S" first="Sachiko" last="Kodera">Sachiko Kodera</name>
</noRegion>
<name sortKey="Hirata, Akimasa" sort="Hirata, Akimasa" uniqKey="Hirata A" first="Akimasa" last="Hirata">Akimasa Hirata</name>
<name sortKey="Hirata, Akimasa" sort="Hirata, Akimasa" uniqKey="Hirata A" first="Akimasa" last="Hirata">Akimasa Hirata</name>
<name sortKey="Rashed, Essam A" sort="Rashed, Essam A" uniqKey="Rashed E" first="Essam A" last="Rashed">Essam A. Rashed</name>
</country>
<country name="Égypte"><noRegion><name sortKey="Rashed, Essam A" sort="Rashed, Essam A" uniqKey="Rashed E" first="Essam A" last="Rashed">Essam A. Rashed</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidSeniorV1/Data/Main/Exploration

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000699 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000699 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    CovidSeniorV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:32751311
   |texte=   Correlation between COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:32751311" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a CovidSeniorV1

This area was generated with Dilib version V0.6.37.
Data generation: Thu Oct 15 09:49:45 2020. Site generation: Wed Jan 27 17:10:23 2021

	Serveur d'exploration sur la COVID chez les séniors
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur la COVID chez les séniors

Correlation between COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity.

Correlation between COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity.

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki