Assessment of the Impact of Media Coverage on COVID-19-Related Google Trends Data: Infodemiology Study.
Identifieur interne : 001673 ( Main/Exploration ); précédent : 001672; suivant : 001674Assessment of the Impact of Media Coverage on COVID-19-Related Google Trends Data: Infodemiology Study.
Auteurs : Bernardo Sousa-Pinto [Portugal] ; Aram Anto [France] ; Wienia Czarlewski [France] ; Josep M. Anto [Espagne] ; João Almeida Fonseca [Portugal] ; Jean Bousquet (allergologue) [Allemagne, France]Source :
- Journal of medical Internet research [ 1438-8871 ] ; 2020.
Descripteurs français
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English descriptors
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Abstract
BACKGROUND
The influence of media coverage on web-based searches may hinder the role of Google Trends (GT) in monitoring coronavirus disease (COVID-19).
OBJECTIVE
The aim of this study was to assess whether COVID-19-related GT data, particularly those related to ageusia and anosmia, were primarily related to media coverage or to epidemic trends.
METHODS
We retrieved GT query data for searches on coronavirus, cough, anosmia, and ageusia and plotted them over a period of 5 years. In addition, we analyzed the trends of those queries for 17 countries throughout the year 2020 with a particular focus on the rises and peaks of the searches. For anosmia and ageusia, we assessed whether the respective GT data correlated with COVID-19 cases and deaths both throughout 2020 and specifically before March 16, 2020 (ie, the date when the media started reporting that these symptoms can be associated with COVID-19).
RESULTS
Over the last five years, peaks for coronavirus searches in GT were only observed during the winter of 2020. Rises and peaks in coronavirus searches appeared at similar times in the 17 different assessed countries irrespective of their epidemic situations. In 15 of these countries, rises in anosmia and ageusia searches occurred in the same week or 1 week after they were identified in the media as symptoms of COVID-19. When data prior to March 16, 2020 were analyzed, anosmia and ageusia GT data were found to have variable correlations with COVID-19 cases and deaths in the different countries.
CONCLUSIONS
Our results indicate that COVID-19-related GT data are more closely related to media coverage than to epidemic trends.
DOI: 10.2196/19611
PubMed: 32530816
PubMed Central: PMC7423386
Affiliations:
- Allemagne, Espagne, France, Portugal
- Berlin, Catalogne, Languedoc-Roussillon, Occitanie (région administrative)
- Barcelone, Berlin, Montpellier
- Centre hospitalier universitaire de Montpellier, Université Pompeu Fabra, Université de Montpellier
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(région administrative)</region></placeName><orgName type="hospital" n="4">Centre hospitalier universitaire de Montpellier</orgName><orgName type="institution">Université de Montpellier</orgName></affiliation><affiliation wicri:level="3"><nlm:affiliation>Comprehensive Allergy Center, Department of Dermatology and Allergy, Berlin Institute of Health, Berlin, Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Comprehensive Allergy Center, Department of Dermatology and Allergy, Berlin Institute of Health, Berlin</wicri:regionArea><placeName><region type="land" nuts="3">Berlin</region><settlement type="city">Berlin</settlement></placeName><placeName><settlement type="city">Montpellier</settlement><region type="old region" nuts="2">Languedoc-Roussillon</region><region type="region" nuts="2">Occitanie (région administrative)</region></placeName><orgName type="hospital" n="4">Centre hospitalier universitaire de Montpellier</orgName><orgName 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xml:lang="fr">Portugal</country><wicri:regionArea>Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto</wicri:regionArea><wicri:noRegion>Porto</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:affiliation>Center for Health Technology and Services Research, University of Porto, Porto, Portugal.</nlm:affiliation><country xml:lang="fr">Portugal</country><wicri:regionArea>Center for Health Technology and Services Research, University of Porto, Porto</wicri:regionArea><wicri:noRegion>Porto</wicri:noRegion></affiliation></author><author><name sortKey="Anto, Aram" sort="Anto, Aram" uniqKey="Anto A" first="Aram" last="Anto">Aram Anto</name><affiliation wicri:level="3"><nlm:affiliation>MASK-air, Montpellier, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>MASK-air, Montpellier</wicri:regionArea><placeName><region type="region">Occitanie (région administrative)</region><region type="old region">Languedoc-Roussillon</region><settlement type="city">Montpellier</settlement></placeName></affiliation></author><author><name sortKey="Czarlewski, Wienia" sort="Czarlewski, Wienia" uniqKey="Czarlewski W" first="Wienia" last="Czarlewski">Wienia Czarlewski</name><affiliation wicri:level="3"><nlm:affiliation>MASK-air, Montpellier, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>MASK-air, Montpellier</wicri:regionArea><placeName><region type="region">Occitanie (région administrative)</region><region type="old region">Languedoc-Roussillon</region><settlement type="city">Montpellier</settlement></placeName></affiliation><affiliation wicri:level="1"><nlm:affiliation>Medical Consulting Czarlewski, Levallois, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Medical Consulting Czarlewski, Levallois</wicri:regionArea><wicri:noRegion>Levallois</wicri:noRegion><wicri:noRegion>Levallois</wicri:noRegion></affiliation></author><author><name sortKey="Anto, Josep M" sort="Anto, Josep M" uniqKey="Anto J" first="Josep M" last="Anto">Josep M. Anto</name><affiliation wicri:level="3"><nlm:affiliation>Centre for Research in Environmental Epidemiology, Barcelona Institute for Global Health, Barcelona, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Centre for Research in Environmental Epidemiology, Barcelona Institute for Global Health, Barcelona</wicri:regionArea><placeName><settlement type="city">Barcelone</settlement><region nuts="2" type="region">Catalogne</region></placeName></affiliation><affiliation wicri:level="4"><nlm:affiliation>Universitat Pompeu Fabra, Barcelona, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Universitat Pompeu Fabra, Barcelona</wicri:regionArea><placeName><settlement type="city">Barcelone</settlement><region nuts="2" type="region">Catalogne</region></placeName><orgName type="university">Université Pompeu Fabra</orgName></affiliation><affiliation wicri:level="3"><nlm:affiliation>CIBER Epidemiología y Salud Pública, Barcelona, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>CIBER Epidemiología y Salud Pública, Barcelona</wicri:regionArea><placeName><settlement type="city">Barcelone</settlement><region nuts="2" type="region">Catalogne</region></placeName></affiliation></author><author><name sortKey="Fonseca, Joao Almeida" sort="Fonseca, Joao Almeida" uniqKey="Fonseca J" first="João Almeida" last="Fonseca">João Almeida Fonseca</name><affiliation wicri:level="1"><nlm:affiliation>Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal.</nlm:affiliation><country xml:lang="fr">Portugal</country><wicri:regionArea>Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto</wicri:regionArea><wicri:noRegion>Porto</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:affiliation>Center for Health Technology and Services Research, University of Porto, Porto, Portugal.</nlm:affiliation><country xml:lang="fr">Portugal</country><wicri:regionArea>Center for Health Technology and Services Research, University of Porto, Porto</wicri:regionArea><wicri:noRegion>Porto</wicri:noRegion></affiliation></author><author><name sortKey="Bousquet, Jean" sort="Bousquet, Jean" uniqKey="Bousquet J" first="Jean" last="Bousquet">Jean Bousquet (allergologue)</name><affiliation wicri:level="3"><nlm:affiliation>Charité, Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Charité, Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Berlin</wicri:regionArea><placeName><region type="land" nuts="3">Berlin</region><settlement type="city">Berlin</settlement></placeName><placeName><settlement type="city">Montpellier</settlement><region type="old region" nuts="2">Languedoc-Roussillon</region><region type="region" nuts="2">Occitanie (région administrative)</region></placeName><orgName type="hospital" n="4">Centre hospitalier universitaire de Montpellier</orgName><orgName type="institution">Université de Montpellier</orgName></affiliation><affiliation wicri:level="3"><nlm:affiliation>Comprehensive Allergy Center, Department of Dermatology and Allergy, Berlin Institute of Health, Berlin, Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Comprehensive Allergy Center, Department of Dermatology and Allergy, Berlin Institute of Health, Berlin</wicri:regionArea><placeName><region type="land" nuts="3">Berlin</region><settlement type="city">Berlin</settlement></placeName><placeName><settlement type="city">Montpellier</settlement><region type="old region" nuts="2">Languedoc-Roussillon</region><region type="region" nuts="2">Occitanie (région administrative)</region></placeName><orgName type="hospital" n="4">Centre hospitalier universitaire de Montpellier</orgName><orgName type="institution">Université de Montpellier</orgName></affiliation><affiliation wicri:level="3"><nlm:affiliation>MACVIA-France, Montpellier, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>MACVIA-France, Montpellier</wicri:regionArea><placeName><region type="region">Occitanie (région administrative)</region><region type="old region">Languedoc-Roussillon</region><settlement type="city">Montpellier</settlement></placeName><placeName><settlement type="city">Montpellier</settlement><region type="old region" nuts="2">Languedoc-Roussillon</region><region type="region" nuts="2">Occitanie (région administrative)</region></placeName><orgName type="hospital" n="4">Centre hospitalier universitaire de Montpellier</orgName><orgName type="institution">Université de Montpellier</orgName></affiliation></author></analytic><series><title level="j">Journal of medical Internet research</title><idno type="eISSN">1438-8871</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Betacoronavirus (MeSH)</term><term>Communication (MeSH)</term><term>Communications Media (MeSH)</term><term>Coronavirus Infections (MeSH)</term><term>Humans (MeSH)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (MeSH)</term><term>Search Engine (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Betacoronavirus (MeSH)</term><term>Communication (MeSH)</term><term>Humains (MeSH)</term><term>Infections à coronavirus (MeSH)</term><term>Moteur de recherche (MeSH)</term><term>Moyens de communication (MeSH)</term><term>Pandémies (MeSH)</term><term>Pneumopathie virale (MeSH)</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Betacoronavirus</term><term>Communication</term><term>Communications Media</term><term>Coronavirus Infections</term><term>Humans</term><term>Pandemics</term><term>Pneumonia, Viral</term><term>Search Engine</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Betacoronavirus</term><term>Communication</term><term>Humains</term><term>Infections à coronavirus</term><term>Moteur de recherche</term><term>Moyens de communication</term><term>Pandémies</term><term>Pneumopathie virale</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>The influence of media coverage on web-based searches may hinder the role of Google Trends (GT) in monitoring coronavirus disease (COVID-19).</p></div><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b></p><p>The aim of this study was to assess whether COVID-19-related GT data, particularly those related to ageusia and anosmia, were primarily related to media coverage or to epidemic trends.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>We retrieved GT query data for searches on coronavirus, cough, anosmia, and ageusia and plotted them over a period of 5 years. In addition, we analyzed the trends of those queries for 17 countries throughout the year 2020 with a particular focus on the rises and peaks of the searches. For anosmia and ageusia, we assessed whether the respective GT data correlated with COVID-19 cases and deaths both throughout 2020 and specifically before March 16, 2020 (ie, the date when the media started reporting that these symptoms can be associated with COVID-19).</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Over the last five years, peaks for coronavirus searches in GT were only observed during the winter of 2020. Rises and peaks in coronavirus searches appeared at similar times in the 17 different assessed countries irrespective of their epidemic situations. In 15 of these countries, rises in anosmia and ageusia searches occurred in the same week or 1 week after they were identified in the media as symptoms of COVID-19. When data prior to March 16, 2020 were analyzed, anosmia and ageusia GT data were found to have variable correlations with COVID-19 cases and deaths in the different countries.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>Our results indicate that COVID-19-related GT data are more closely related to media coverage than to epidemic trends.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">32530816</PMID><DateCompleted><Year>2020</Year><Month>08</Month><Day>21</Day></DateCompleted><DateRevised><Year>2020</Year><Month>08</Month><Day>21</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1438-8871</ISSN><JournalIssue CitedMedium="Internet"><Volume>22</Volume><Issue>8</Issue><PubDate><Year>2020</Year><Month>08</Month><Day>10</Day></PubDate></JournalIssue><Title>Journal of medical Internet research</Title><ISOAbbreviation>J. Med. Internet Res.</ISOAbbreviation></Journal><ArticleTitle>Assessment of the Impact of Media Coverage on COVID-19-Related Google Trends Data: Infodemiology Study.</ArticleTitle><Pagination><MedlinePgn>e19611</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.2196/19611</ELocationID><Abstract><AbstractText Label="BACKGROUND">The influence of media coverage on web-based searches may hinder the role of Google Trends (GT) in monitoring coronavirus disease (COVID-19).</AbstractText><AbstractText Label="OBJECTIVE">The aim of this study was to assess whether COVID-19-related GT data, particularly those related to ageusia and anosmia, were primarily related to media coverage or to epidemic trends.</AbstractText><AbstractText Label="METHODS">We retrieved GT query data for searches on coronavirus, cough, anosmia, and ageusia and plotted them over a period of 5 years. In addition, we analyzed the trends of those queries for 17 countries throughout the year 2020 with a particular focus on the rises and peaks of the searches. For anosmia and ageusia, we assessed whether the respective GT data correlated with COVID-19 cases and deaths both throughout 2020 and specifically before March 16, 2020 (ie, the date when the media started reporting that these symptoms can be associated with COVID-19).</AbstractText><AbstractText Label="RESULTS">Over the last five years, peaks for coronavirus searches in GT were only observed during the winter of 2020. Rises and peaks in coronavirus searches appeared at similar times in the 17 different assessed countries irrespective of their epidemic situations. In 15 of these countries, rises in anosmia and ageusia searches occurred in the same week or 1 week after they were identified in the media as symptoms of COVID-19. When data prior to March 16, 2020 were analyzed, anosmia and ageusia GT data were found to have variable correlations with COVID-19 cases and deaths in the different countries.</AbstractText><AbstractText Label="CONCLUSIONS">Our results indicate that COVID-19-related GT data are more closely related to media coverage than to epidemic trends.</AbstractText><CopyrightInformation>©Bernardo Sousa-Pinto, Aram Anto, Wienia Czarlewski, Josep M Anto, João Almeida Fonseca, Jean Bousquet. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 10.08.2020.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Sousa-Pinto</LastName><ForeName>Bernardo</ForeName><Initials>B</Initials><Identifier Source="ORCID">0000-0002-1277-3401</Identifier><AffiliationInfo><Affiliation>Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center for Health Technology and Services Research, University of Porto, Porto, Portugal.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Anto</LastName><ForeName>Aram</ForeName><Initials>A</Initials><Identifier Source="ORCID">0000-0001-8180-5481</Identifier><AffiliationInfo><Affiliation>MASK-air, Montpellier, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Czarlewski</LastName><ForeName>Wienia</ForeName><Initials>W</Initials><Identifier Source="ORCID">0000-0002-6180-3232</Identifier><AffiliationInfo><Affiliation>MASK-air, Montpellier, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Medical Consulting Czarlewski, Levallois, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Anto</LastName><ForeName>Josep M</ForeName><Initials>JM</Initials><Identifier Source="ORCID">0000-0002-4736-8529</Identifier><AffiliationInfo><Affiliation>Centre for Research in Environmental Epidemiology, Barcelona Institute for Global Health, Barcelona, Spain.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Universitat Pompeu Fabra, Barcelona, Spain.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>CIBER Epidemiología y Salud Pública, Barcelona, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Fonseca</LastName><ForeName>João Almeida</ForeName><Initials>JA</Initials><Identifier Source="ORCID">0000-0002-0887-8796</Identifier><AffiliationInfo><Affiliation>Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center for Health Technology and Services Research, University of Porto, Porto, Portugal.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bousquet</LastName><ForeName>Jean</ForeName><Initials>J</Initials><Identifier Source="ORCID">0000-0002-4061-4766</Identifier><AffiliationInfo><Affiliation>Charité, Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Comprehensive Allergy Center, Department of Dermatology and Allergy, Berlin Institute of Health, Berlin, Germany.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>MACVIA-France, Montpellier, France.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>08</Month><Day>10</Day></ArticleDate></Article><MedlineJournalInfo><Country>Canada</Country><MedlineTA>J Med Internet Res</MedlineTA><NlmUniqueID>100959882</NlmUniqueID><ISSNLinking>1438-8871</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="D000073640" MajorTopicYN="Y">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003142" MajorTopicYN="N">Communication</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003146" 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IdType="pubmed">32530816</ArticleId><ArticleId IdType="pii">v22i8e19611</ArticleId><ArticleId IdType="doi">10.2196/19611</ArticleId><ArticleId IdType="pmc">PMC7423386</ArticleId></ArticleIdList><ReferenceList><Reference><Citation>J Med Internet Res. 2009 Mar 27;11(1):e11</Citation><ArticleIdList><ArticleId IdType="pubmed">19329408</ArticleId></ArticleIdList></Reference><Reference><Citation>Am J Cardiol. 2014 May 1;113(9):1529-31</Citation><ArticleIdList><ArticleId IdType="pubmed">24630787</ArticleId></ArticleIdList></Reference><Reference><Citation>Int J Infect Dis. 2020 Jun;95:221-223</Citation><ArticleIdList><ArticleId IdType="pubmed">32173572</ArticleId></ArticleIdList></Reference><Reference><Citation>JMIR Public Health Surveill. 2019 May 29;5(2):e13439</Citation><ArticleIdList><ArticleId IdType="pubmed">31144671</ArticleId></ArticleIdList></Reference><Reference><Citation>Eur Arch Otorhinolaryngol. 2020 Aug;277(8):2251-2261</Citation><ArticleIdList><ArticleId 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uniqKey="Fonseca J" first="João Almeida" last="Fonseca">João Almeida Fonseca</name><name sortKey="Fonseca, Joao Almeida" sort="Fonseca, Joao Almeida" uniqKey="Fonseca J" first="João Almeida" last="Fonseca">João Almeida Fonseca</name><name sortKey="Sousa Pinto, Bernardo" sort="Sousa Pinto, Bernardo" uniqKey="Sousa Pinto B" first="Bernardo" last="Sousa-Pinto">Bernardo Sousa-Pinto</name></country><country name="France"><region name="Occitanie (région administrative)"><name sortKey="Anto, Aram" sort="Anto, Aram" uniqKey="Anto A" first="Aram" last="Anto">Aram Anto</name></region><name sortKey="Bousquet, Jean" sort="Bousquet, Jean" uniqKey="Bousquet J" first="Jean" last="Bousquet">Jean Bousquet (allergologue)</name><name sortKey="Czarlewski, Wienia" sort="Czarlewski, Wienia" uniqKey="Czarlewski W" first="Wienia" last="Czarlewski">Wienia Czarlewski</name><name sortKey="Czarlewski, Wienia" sort="Czarlewski, Wienia" uniqKey="Czarlewski W" first="Wienia" last="Czarlewski">Wienia Czarlewski</name></country><country name="Espagne"><region name="Catalogne"><name sortKey="Anto, Josep M" sort="Anto, Josep M" uniqKey="Anto J" first="Josep M" last="Anto">Josep M. Anto</name></region><name sortKey="Anto, Josep M" sort="Anto, Josep M" uniqKey="Anto J" first="Josep M" last="Anto">Josep M. Anto</name><name sortKey="Anto, Josep M" sort="Anto, Josep M" uniqKey="Anto J" first="Josep M" last="Anto">Josep M. Anto</name></country><country name="Allemagne"><region name="Berlin"><name sortKey="Bousquet, Jean" sort="Bousquet, Jean" uniqKey="Bousquet J" first="Jean" last="Bousquet">Jean Bousquet (allergologue)</name></region><name sortKey="Bousquet, Jean" sort="Bousquet, Jean" uniqKey="Bousquet J" first="Jean" last="Bousquet">Jean Bousquet (allergologue)</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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