Applications of google search trends for risk communication in infectious disease management: A case study of COVID-19 outbreak in Taiwan.
Identifieur interne : 000640 ( new/Analysis ); précédent : 000639; suivant : 000641Applications 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
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: 000477
- to stream PubMed, to step Curation: 000477
- to stream PubMed, to step Checkpoint: 000B54
- to stream Ncbi, to step Merge: 001117
- to stream Ncbi, to step Curation: 001117
- to stream Ncbi, to step Checkpoint: 001117
- to stream Main, to step Merge: 000C25
- to stream Main, to step Curation: 000C23
- to stream Main, to step Exploration: 000C23
- to stream new, to step Extraction: 000640
Links to Exploration step
pubmed:32173572Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><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></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><idno type="wicri:Area/Ncbi/Curation">001117</idno><idno type="wicri:Area/Ncbi/Checkpoint">001117</idno><idno type="wicri:Area/Main/Merge">000C25</idno><idno type="wicri:Area/Main/Curation">000C23</idno><idno type="wicri:Area/Main/Exploration">000C23</idno><idno type="wicri:Area/new/Extraction">000640</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><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)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Sante/explor/CovidV2/Data/new/Analysis
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000640 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/new/Analysis/biblio.hfd -nk 000640 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Sante
|area= CovidV2
|flux= new
|étape= Analysis
|type= RBID
|clé= pubmed:32173572
|texte= Applications of google search trends for risk communication in infectious disease management: A case study of COVID-19 outbreak in Taiwan.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/new/Analysis/RBID.i -Sk "pubmed:32173572" \
| HfdSelect -Kh $EXPLOR_AREA/Data/new/Analysis/biblio.hfd \
| NlmPubMed2Wicri -a CovidV2
| This area was generated with Dilib version V0.6.33. |  |