Applications of google search trends for risk communication in infectious disease management: A case study of COVID-19 outbreak in Taiwan.
Identifieur interne : 001117 ( Ncbi/Merge ); précédent : 001116; suivant : 001118Applications of google search trends for risk communication in infectious disease management: A case study of COVID-19 outbreak in Taiwan.
Auteurs : Atina Husnayain [Indonésie] ; Anis Fuad [Indonésie] ; Emily Chia-Yu Su [Taïwan]Source :
- International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases [ 1878-3511 ] ; 2020.
Abstract
An emerging outbreak of COVID-19 has been detected in at least 26 countries worldwide. Given this pandemic situation, robust risk communication is urgently needed particularly in affected countries. Therefore, this study explored the potential use of Google Trends (GT) to monitor public restlessness toward COVID-19 epidemic infection in Taiwan.
DOI: 10.1016/j.ijid.2020.03.021
PubMed: 32173572
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Electronic address: emilysu@tmu.edu.tw.</nlm:affiliation><country xml:lang="fr">Taïwan</country><wicri:regionArea>Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei, Taiwan; Research Center for Artificial Intelligence in Medicine, Taipei Medical University, Taipei</wicri:regionArea><wicri:noRegion>Taipei</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32173572</idno><idno type="pmid">32173572</idno><idno type="doi">10.1016/j.ijid.2020.03.021</idno><idno type="wicri:Area/PubMed/Corpus">000477</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000477</idno><idno type="wicri:Area/PubMed/Curation">000477</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000477</idno><idno type="wicri:Area/PubMed/Checkpoint">000B54</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000B54</idno><idno type="wicri:Area/Ncbi/Merge">001117</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Applications of google search trends for risk communication in infectious disease management: A case study of COVID-19 outbreak in Taiwan.</title><author><name sortKey="Husnayain, Atina" sort="Husnayain, Atina" uniqKey="Husnayain A" first="Atina" last="Husnayain">Atina Husnayain</name><affiliation wicri:level="1"><nlm:affiliation>Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; Department of Biostatistics, Epidemiology, and Population Health, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.</nlm:affiliation><country xml:lang="fr">Indonésie</country><wicri:regionArea>Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; Department of Biostatistics, Epidemiology, and Population Health, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta</wicri:regionArea><wicri:noRegion>Yogyakarta</wicri:noRegion></affiliation></author><author><name sortKey="Fuad, Anis" sort="Fuad, Anis" uniqKey="Fuad A" first="Anis" last="Fuad">Anis Fuad</name><affiliation wicri:level="1"><nlm:affiliation>Department of Biostatistics, Epidemiology, and Population Health, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.</nlm:affiliation><country xml:lang="fr">Indonésie</country><wicri:regionArea>Department of Biostatistics, Epidemiology, and Population Health, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta</wicri:regionArea><wicri:noRegion>Yogyakarta</wicri:noRegion></affiliation></author><author><name sortKey="Su, Emily Chia Yu" sort="Su, Emily Chia Yu" uniqKey="Su E" first="Emily Chia-Yu" last="Su">Emily Chia-Yu Su</name><affiliation wicri:level="1"><nlm:affiliation>Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei, Taiwan; Research Center for Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan. Electronic address: emilysu@tmu.edu.tw.</nlm:affiliation><country xml:lang="fr">Taïwan</country><wicri:regionArea>Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei, Taiwan; Research Center for Artificial Intelligence in Medicine, Taipei Medical University, Taipei</wicri:regionArea><wicri:noRegion>Taipei</wicri:noRegion></affiliation></author></analytic><series><title level="j">International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases</title><idno type="eISSN">1878-3511</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">An emerging outbreak of COVID-19 has been detected in at least 26 countries worldwide. Given this pandemic situation, robust risk communication is urgently needed particularly in affected countries. Therefore, this study explored the potential use of Google Trends (GT) to monitor public restlessness toward COVID-19 epidemic infection in Taiwan.</div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">32173572</PMID><DateRevised><Year>2020</Year><Month>03</Month><Day>16</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1878-3511</ISSN><JournalIssue CitedMedium="Internet"><PubDate><Year>2020</Year><Month>Mar</Month><Day>12</Day></PubDate></JournalIssue><Title>International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases</Title><ISOAbbreviation>Int. J. Infect. Dis.</ISOAbbreviation></Journal><ArticleTitle>Applications of google search trends for risk communication in infectious disease management: A case study of COVID-19 outbreak in Taiwan.</ArticleTitle><ELocationID EIdType="pii" ValidYN="Y">S1201-9712(20)30140-5</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.ijid.2020.03.021</ELocationID><Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">An emerging outbreak of COVID-19 has been detected in at least 26 countries worldwide. Given this pandemic situation, robust risk communication is urgently needed particularly in affected countries. Therefore, this study explored the potential use of Google Trends (GT) to monitor public restlessness toward COVID-19 epidemic infection in Taiwan.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">We retrieved GT data for the specific locations of Taiwan nationwide and subregions using defined search terms related to coronavirus, handwashing, and face masks.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Searches related to COVID-19 and face masks in Taiwan increased rapidly, following the announcements of Taiwan' first imported case and reached its peak as local cases were reported. However, searches for handwashing were gradually increased in period of face masks shortage. Moreover, high to moderate correlations between Google relative search volume (RSV) and COVID-19 cases were found in Taipei (lag-3), New Taipei (lag-2), Taoyuan (lag-2), Tainan (lag-1), Taichung (lag0), and Kaohsiung (lag0).</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">In response to the ongoing outbreak, our results demonstrated that GT could potentially define the proper timing and location for practicing appropriate risk communication strategies to the affected population.</AbstractText><CopyrightInformation>Copyright © 2020. Published by Elsevier Ltd.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Husnayain</LastName><ForeName>Atina</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; Department of Biostatistics, Epidemiology, and Population Health, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Fuad</LastName><ForeName>Anis</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department of Biostatistics, Epidemiology, and Population Health, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Su</LastName><ForeName>Emily Chia-Yu</ForeName><Initials>EC</Initials><AffiliationInfo><Affiliation>Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei, Taiwan; Research Center for Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan. Electronic address: emilysu@tmu.edu.tw.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>03</Month><Day>12</Day></ArticleDate></Article><MedlineJournalInfo><Country>Canada</Country><MedlineTA>Int J Infect Dis</MedlineTA><NlmUniqueID>9610933</NlmUniqueID><ISSNLinking>1201-9712</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">COVID-19</Keyword><Keyword MajorTopicYN="N">Google Trends</Keyword><Keyword MajorTopicYN="N">Taiwan</Keyword><Keyword MajorTopicYN="N">risk communication</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>02</Month><Day>21</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>03</Month><Day>06</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>03</Month><Day>06</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>3</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>3</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>3</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>aheadofprint</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32173572</ArticleId><ArticleId IdType="pii">S1201-9712(20)30140-5</ArticleId><ArticleId IdType="doi">10.1016/j.ijid.2020.03.021</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Indonésie</li><li>Taïwan</li></country></list><tree><country name="Indonésie"><noRegion><name sortKey="Husnayain, Atina" sort="Husnayain, Atina" uniqKey="Husnayain A" first="Atina" last="Husnayain">Atina Husnayain</name></noRegion><name sortKey="Fuad, Anis" sort="Fuad, Anis" uniqKey="Fuad A" first="Anis" last="Fuad">Anis Fuad</name></country><country name="Taïwan"><noRegion><name sortKey="Su, Emily Chia Yu" sort="Su, Emily Chia Yu" uniqKey="Su E" first="Emily Chia-Yu" last="Su">Emily Chia-Yu Su</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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