Serveur d'exploration Stress et Covid

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.

Geographical distance to the epicenter of Covid-19 predicts the burnout of the working population: Ripple effect or typhoon eye effect?

Identifieur interne : 000F79 ( Ncbi/Merge ); précédent : 000F78; suivant : 000F80

Geographical distance to the epicenter of Covid-19 predicts the burnout of the working population: Ripple effect or typhoon eye effect?

Auteurs : Stephen X. Zhang [Australie] ; Hao Huang [République populaire de Chine] ; Feng Wei [République populaire de Chine]

Source :

RBID : pubmed:32325386

Abstract

Covid-19 originated in Wuhan and rippled across China. We investigate how the geographical distance of working adults to the epicenter of Wuhan predicts their burnout - emotional, physical and mental exhaustion due to excessive and prolonged stress. Preliminary results of a survey of 308 working adults in 53 cities showed working adults' distance to the epicenter of Wuhan had an inverted U-shaped relationship with their burnout. Such results help to identify regions where people may need more psychiatric assistance, with direct implications for healthcare practitioners and policymakers.

DOI: 10.1016/j.psychres.2020.112998
PubMed: 32325386

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


Links to Exploration step

pubmed:32325386

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Geographical distance to the epicenter of Covid-19 predicts the burnout of the working population: Ripple effect or typhoon eye effect?</title>
<author>
<name sortKey="Zhang, Stephen X" sort="Zhang, Stephen X" uniqKey="Zhang S" first="Stephen X" last="Zhang">Stephen X. Zhang</name>
<affiliation wicri:level="1">
<nlm:affiliation>University of Adelaide, Adelaide, Australia. Electronic address: stephen.x.zhang@gmail.com.</nlm:affiliation>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>University of Adelaide, Adelaide</wicri:regionArea>
<wicri:noRegion>Adelaide</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Huang, Hao" sort="Huang, Hao" uniqKey="Huang H" first="Hao" last="Huang">Hao Huang</name>
<affiliation wicri:level="1">
<nlm:affiliation>Southwestern University of Finance and Economics, Chengdu, China. Electronic address: fizz-huang@qq.com.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Southwestern University of Finance and Economics, Chengdu</wicri:regionArea>
<wicri:noRegion>Chengdu</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Wei, Feng" sort="Wei, Feng" uniqKey="Wei F" first="Feng" last="Wei">Feng Wei</name>
<affiliation wicri:level="1">
<nlm:affiliation>Tongji University, Shanghai, China. Electronic address: fwei@tongji.edu.cn.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Tongji University, Shanghai</wicri:regionArea>
<wicri:noRegion>Shanghai</wicri:noRegion>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PubMed</idno>
<date when="2020">2020</date>
<idno type="RBID">pubmed:32325386</idno>
<idno type="pmid">32325386</idno>
<idno type="doi">10.1016/j.psychres.2020.112998</idno>
<idno type="wicri:Area/PubMed/Corpus">000040</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000040</idno>
<idno type="wicri:Area/PubMed/Curation">000040</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000040</idno>
<idno type="wicri:Area/PubMed/Checkpoint">000108</idno>
<idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000108</idno>
<idno type="wicri:Area/Ncbi/Merge">000F79</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en">Geographical distance to the epicenter of Covid-19 predicts the burnout of the working population: Ripple effect or typhoon eye effect?</title>
<author>
<name sortKey="Zhang, Stephen X" sort="Zhang, Stephen X" uniqKey="Zhang S" first="Stephen X" last="Zhang">Stephen X. Zhang</name>
<affiliation wicri:level="1">
<nlm:affiliation>University of Adelaide, Adelaide, Australia. Electronic address: stephen.x.zhang@gmail.com.</nlm:affiliation>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>University of Adelaide, Adelaide</wicri:regionArea>
<wicri:noRegion>Adelaide</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Huang, Hao" sort="Huang, Hao" uniqKey="Huang H" first="Hao" last="Huang">Hao Huang</name>
<affiliation wicri:level="1">
<nlm:affiliation>Southwestern University of Finance and Economics, Chengdu, China. Electronic address: fizz-huang@qq.com.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Southwestern University of Finance and Economics, Chengdu</wicri:regionArea>
<wicri:noRegion>Chengdu</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Wei, Feng" sort="Wei, Feng" uniqKey="Wei F" first="Feng" last="Wei">Feng Wei</name>
<affiliation wicri:level="1">
<nlm:affiliation>Tongji University, Shanghai, China. Electronic address: fwei@tongji.edu.cn.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Tongji University, Shanghai</wicri:regionArea>
<wicri:noRegion>Shanghai</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Psychiatry research</title>
<idno type="eISSN">1872-7123</idno>
<imprint>
<date when="2020" type="published">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">Covid-19 originated in Wuhan and rippled across China. We investigate how the geographical distance of working adults to the epicenter of Wuhan predicts their burnout - emotional, physical and mental exhaustion due to excessive and prolonged stress. Preliminary results of a survey of 308 working adults in 53 cities showed working adults' distance to the epicenter of Wuhan had an inverted U-shaped relationship with their burnout. Such results help to identify regions where people may need more psychiatric assistance, with direct implications for healthcare practitioners and policymakers.</div>
</front>
</TEI>
<pubmed>
<MedlineCitation Status="Publisher" Owner="NLM">
<PMID Version="1">32325386</PMID>
<DateRevised>
<Year>2020</Year>
<Month>04</Month>
<Day>28</Day>
</DateRevised>
<Article PubModel="Print-Electronic">
<Journal>
<ISSN IssnType="Electronic">1872-7123</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>288</Volume>
<PubDate>
<Year>2020</Year>
<Month>Apr</Month>
<Day>14</Day>
</PubDate>
</JournalIssue>
<Title>Psychiatry research</Title>
<ISOAbbreviation>Psychiatry Res</ISOAbbreviation>
</Journal>
<ArticleTitle>Geographical distance to the epicenter of Covid-19 predicts the burnout of the working population: Ripple effect or typhoon eye effect?</ArticleTitle>
<Pagination>
<MedlinePgn>112998</MedlinePgn>
</Pagination>
<ELocationID EIdType="pii" ValidYN="Y">S0165-1781(20)30769-1</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.psychres.2020.112998</ELocationID>
<Abstract>
<AbstractText>Covid-19 originated in Wuhan and rippled across China. We investigate how the geographical distance of working adults to the epicenter of Wuhan predicts their burnout - emotional, physical and mental exhaustion due to excessive and prolonged stress. Preliminary results of a survey of 308 working adults in 53 cities showed working adults' distance to the epicenter of Wuhan had an inverted U-shaped relationship with their burnout. Such results help to identify regions where people may need more psychiatric assistance, with direct implications for healthcare practitioners and policymakers.</AbstractText>
<CopyrightInformation>Copyright © 2020 Elsevier B.V. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Zhang</LastName>
<ForeName>Stephen X</ForeName>
<Initials>SX</Initials>
<AffiliationInfo>
<Affiliation>University of Adelaide, Adelaide, Australia. Electronic address: stephen.x.zhang@gmail.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Huang</LastName>
<ForeName>Hao</ForeName>
<Initials>H</Initials>
<AffiliationInfo>
<Affiliation>Southwestern University of Finance and Economics, Chengdu, China. Electronic address: fizz-huang@qq.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Wei</LastName>
<ForeName>Feng</ForeName>
<Initials>F</Initials>
<AffiliationInfo>
<Affiliation>Tongji University, Shanghai, China. Electronic address: fwei@tongji.edu.cn.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList>
<PublicationType UI="D016422">Letter</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic">
<Year>2020</Year>
<Month>04</Month>
<Day>14</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo>
<Country>Ireland</Country>
<MedlineTA>Psychiatry Res</MedlineTA>
<NlmUniqueID>7911385</NlmUniqueID>
<ISSNLinking>0165-1781</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="N">Burnout</Keyword>
<Keyword MajorTopicYN="N">Coronavirus</Keyword>
<Keyword MajorTopicYN="N">Distance to the epicenter</Keyword>
<Keyword MajorTopicYN="N">Epidemic</Keyword>
<Keyword MajorTopicYN="N">Pandemic</Keyword>
<Keyword MajorTopicYN="N">Ripple effect</Keyword>
<Keyword MajorTopicYN="N">SARS-CoV-2</Keyword>
<Keyword MajorTopicYN="N">Typhoon eye effect</Keyword>
</KeywordList>
<CoiStatement>Declaration of Competing Interest The authors declare that they have no competing interests.</CoiStatement>
</MedlineCitation>
<PubmedData>
<History>
<PubMedPubDate PubStatus="received">
<Year>2020</Year>
<Month>04</Month>
<Day>03</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised">
<Year>2020</Year>
<Month>04</Month>
<Day>08</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted">
<Year>2020</Year>
<Month>04</Month>
<Day>08</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed">
<Year>2020</Year>
<Month>4</Month>
<Day>24</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline">
<Year>2020</Year>
<Month>4</Month>
<Day>24</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez">
<Year>2020</Year>
<Month>4</Month>
<Day>24</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>aheadofprint</PublicationStatus>
<ArticleIdList>
<ArticleId IdType="pubmed">32325386</ArticleId>
<ArticleId IdType="pii">S0165-1781(20)30769-1</ArticleId>
<ArticleId IdType="doi">10.1016/j.psychres.2020.112998</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations>
<list>
<country>
<li>Australie</li>
<li>République populaire de Chine</li>
</country>
</list>
<tree>
<country name="Australie">
<noRegion>
<name sortKey="Zhang, Stephen X" sort="Zhang, Stephen X" uniqKey="Zhang S" first="Stephen X" last="Zhang">Stephen X. Zhang</name>
</noRegion>
</country>
<country name="République populaire de Chine">
<noRegion>
<name sortKey="Huang, Hao" sort="Huang, Hao" uniqKey="Huang H" first="Hao" last="Huang">Hao Huang</name>
</noRegion>
<name sortKey="Wei, Feng" sort="Wei, Feng" uniqKey="Wei F" first="Feng" last="Wei">Feng Wei</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/StressCovidV1/Data/Ncbi/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000F79 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Ncbi/Merge/biblio.hfd -nk 000F79 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    StressCovidV1
   |flux=    Ncbi
   |étape=   Merge
   |type=    RBID
   |clé=     pubmed:32325386
   |texte=   Geographical distance to the epicenter of Covid-19 predicts the burnout of the working population: Ripple effect or typhoon eye effect?
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Ncbi/Merge/RBID.i   -Sk "pubmed:32325386" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Ncbi/Merge/biblio.hfd   \
       | NlmPubMed2Wicri -a StressCovidV1 

Wicri

This area was generated with Dilib version V0.6.33.
Data generation: Wed May 6 16:44:09 2020. Site generation: Sun Mar 28 08:26:57 2021