Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020
Identifieur interne : 000189 ( new/Analysis ); précédent : 000188; suivant : 000190Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020
Auteurs : Cuilian Li [République populaire de Chine] ; Li Jia Chen [République populaire de Chine] ; Xueyu Chen [République populaire de Chine] ; Mingzhi Zhang [République populaire de Chine] ; Chi Pui Pang [République populaire de Chine] ; Haoyu Chen [République populaire de Chine]Source :
- Eurosurveillance [ 1025-496X ] ; 2020.
Descripteurs français
- KwdFr :
- Chine (épidémiologie), Flambées de maladies (), Humains, Incidence, Infections à coronavirus (diagnostic), Infections à coronavirus (transmission), Infections à coronavirus (épidémiologie), Internet, Laboratoires (), Moteur de recherche (), Médias sociaux (), Médias sociaux (tendances), Navigateur (), Navigateur (tendances), Pneumopathie virale (diagnostic), Pneumopathie virale (transmission), Pneumopathie virale (épidémiologie), Pratique en santé publique, Surveillance de la population ().
- MESH :
- diagnostic : Infections à coronavirus, Pneumopathie virale.
- tendances : Médias sociaux, Navigateur.
- épidémiologie : Chine, Infections à coronavirus, Pneumopathie virale.
- Flambées de maladies, Humains, Incidence, Internet, Laboratoires, Moteur de recherche, Médias sociaux, Navigateur, Pratique en santé publique, Surveillance de la population.
- Wicri :
- geographic : République populaire de Chine.
English descriptors
- KwdEn :
- China (epidemiology), Coronavirus Infections (diagnosis), Coronavirus Infections (epidemiology), Coronavirus Infections (transmission), Disease Outbreaks (statistics & numerical data), Humans, Incidence, Internet, Laboratories (statistics & numerical data), Pneumonia, Viral (diagnosis), Pneumonia, Viral (epidemiology), Pneumonia, Viral (transmission), Population Surveillance (methods), Public Health Practice, Search Engine (statistics & numerical data), Social Media (statistics & numerical data), Social Media (trends), Web Browser (statistics & numerical data), Web Browser (trends).
- MESH :
- geographic , epidemiology : China.
- diagnosis : Coronavirus Infections, Pneumonia, Viral.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- methods : Population Surveillance.
- statistics & numerical data : Disease Outbreaks, Laboratories, Search Engine, Social Media, Web Browser.
- transmission : Coronavirus Infections, Pneumonia, Viral.
- trends : Social Media, Web Browser.
- Humans, Incidence, Internet, Public Health Practice.
Abstract
The peak of Internet searches and social media data about the coronavirus disease 2019 (COVID-19) outbreak occurred 10–14 days earlier than the peak of daily incidences in China. Internet searches and social media data had high correlation with daily incidences, with the maximum r > 0.89 in all correlations. The lag correlations also showed a maximum correlation at 8–12 days for laboratory-confirmed cases and 6–8 days for suspected cases.
Url:
DOI: 10.2807/1560-7917.ES.2020.25.10.2000199
PubMed: 32183935
PubMed Central: 7078825
Affiliations:
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PMC:7078825Le document en format XML
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possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020</title><author><name sortKey="Li, Cuilian" sort="Li, Cuilian" uniqKey="Li C" first="Cuilian" last="Li">Cuilian Li</name><affiliation wicri:level="1"><nlm:aff id="aff1">Joint Shantou International Eye Center, Shantou University and the Chinese University of Hong Kong, Shantou, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Joint Shantou International Eye Center, Shantou University and the Chinese University of Hong Kong, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Chen, Li Jia" sort="Chen, Li Jia" uniqKey="Chen L" first="Li Jia" last="Chen">Li Jia Chen</name><affiliation wicri:level="4"><nlm:aff id="aff2">Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong, Hong Kong, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong, Hong Kong</wicri:regionArea><orgName type="university">Université chinoise de Hong Kong</orgName><placeName><settlement type="city">Sha Tin</settlement></placeName></affiliation></author><author><name sortKey="Chen, Xueyu" sort="Chen, Xueyu" uniqKey="Chen X" first="Xueyu" last="Chen">Xueyu Chen</name><affiliation wicri:level="1"><nlm:aff id="aff1">Joint Shantou International Eye Center, Shantou University and the Chinese University of Hong Kong, Shantou, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Joint Shantou International Eye Center, Shantou University and the Chinese University of Hong Kong, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, Mingzhi" sort="Zhang, Mingzhi" uniqKey="Zhang M" first="Mingzhi" last="Zhang">Mingzhi 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Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation><affiliation wicri:level="4"><nlm:aff id="aff2">Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong, Hong Kong, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong, Hong Kong</wicri:regionArea><orgName type="university">Université chinoise de Hong Kong</orgName><placeName><settlement type="city">Sha Tin</settlement></placeName></affiliation></author><author><name sortKey="Chen, Haoyu" sort="Chen, Haoyu" uniqKey="Chen H" first="Haoyu" last="Chen">Haoyu Chen</name><affiliation wicri:level="1"><nlm:aff id="aff1">Joint Shantou International Eye Center, Shantou University and the Chinese University of Hong Kong, Shantou, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Joint Shantou International Eye Center, Shantou University and the Chinese University of Hong Kong, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author></analytic><series><title level="j">Eurosurveillance</title><idno type="ISSN">1025-496X</idno><idno type="eISSN">1560-7917</idno><imprint><date when="2020">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>China (epidemiology)</term><term>Coronavirus Infections (diagnosis)</term><term>Coronavirus Infections (epidemiology)</term><term>Coronavirus Infections (transmission)</term><term>Disease Outbreaks (statistics & numerical data)</term><term>Humans</term><term>Incidence</term><term>Internet</term><term>Laboratories (statistics & numerical data)</term><term>Pneumonia, Viral (diagnosis)</term><term>Pneumonia, Viral (epidemiology)</term><term>Pneumonia, Viral (transmission)</term><term>Population Surveillance (methods)</term><term>Public Health 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Chine</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>The peak of Internet searches and social media data about the coronavirus disease 2019 (COVID-19) outbreak occurred 10–14 days earlier than the peak of daily incidences in China. Internet searches and social media data had high correlation with daily incidences, with the maximum r > 0.89 in all correlations. The lag correlations also showed a maximum correlation at 8–12 days for laboratory-confirmed cases and 6–8 days for suspected cases.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Wu, Jt" uniqKey="Wu J">JT Wu</name></author><author><name sortKey="Leung, K" uniqKey="Leung K">K Leung</name></author><author><name sortKey="Leung, Gm" uniqKey="Leung G">GM Leung</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Ginsberg, J" uniqKey="Ginsberg J">J Ginsberg</name></author><author><name sortKey="Mohebbi, Mh" uniqKey="Mohebbi M">MH Mohebbi</name></author><author><name sortKey="Patel, Rs" uniqKey="Patel R">RS Patel</name></author><author><name sortKey="Brammer, L" uniqKey="Brammer L">L Brammer</name></author><author><name sortKey="Smolinski, Ms" uniqKey="Smolinski M">MS Smolinski</name></author><author><name sortKey="Brilliant, L" uniqKey="Brilliant L">L Brilliant</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Marques Toledo, Ca" uniqKey="Marques Toledo C">CA Marques-Toledo</name></author><author><name sortKey="Degener, Cm" uniqKey="Degener C">CM Degener</name></author><author><name sortKey="Vinhal, L" uniqKey="Vinhal L">L Vinhal</name></author><author><name sortKey="Coelho, G" uniqKey="Coelho G">G Coelho</name></author><author><name sortKey="Meira, W" uniqKey="Meira W">W Meira</name></author><author><name sortKey="Codeco, Ct" uniqKey="Codeco C">CT Codeço</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Wilson, N" uniqKey="Wilson N">N Wilson</name></author><author><name sortKey="Mason, K" uniqKey="Mason K">K Mason</name></author><author><name sortKey="Tobias, M" uniqKey="Tobias M">M Tobias</name></author><author><name sortKey="Peacey, M" uniqKey="Peacey M">M Peacey</name></author><author><name sortKey="Huang, Qs" uniqKey="Huang Q">QS Huang</name></author><author><name sortKey="Baker, M" uniqKey="Baker M">M Baker</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Majumder, Ms" uniqKey="Majumder M">MS Majumder</name></author><author><name sortKey="Santillana, M" uniqKey="Santillana M">M Santillana</name></author><author><name sortKey="Mekaru, Sr" uniqKey="Mekaru S">SR Mekaru</name></author><author><name sortKey="Mcginnis, Dp" uniqKey="Mcginnis D">DP McGinnis</name></author><author><name sortKey="Khan, K" uniqKey="Khan K">K Khan</name></author><author><name sortKey="Brownstein, Js" uniqKey="Brownstein J">JS Brownstein</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Santangelo, Oe" uniqKey="Santangelo O">OE Santangelo</name></author><author><name sortKey="Provenzano, S" uniqKey="Provenzano S">S Provenzano</name></author><author><name sortKey="Piazza, D" uniqKey="Piazza D">D Piazza</name></author><author><name sortKey="Giordano, D" uniqKey="Giordano D">D Giordano</name></author><author><name sortKey="Calamusa, G" uniqKey="Calamusa G">G Calamusa</name></author><author><name sortKey="Firenze, A" uniqKey="Firenze A">A Firenze</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Shin, Sy" uniqKey="Shin S">SY Shin</name></author><author><name sortKey="Seo, Dw" uniqKey="Seo D">DW Seo</name></author><author><name sortKey="An, J" uniqKey="An J">J An</name></author><author><name sortKey="Kwak, H" uniqKey="Kwak H">H Kwak</name></author><author><name sortKey="Kim, Sh" uniqKey="Kim S">SH Kim</name></author><author><name sortKey="Gwack, J" uniqKey="Gwack J">J Gwack</name></author></analytic></biblStruct><biblStruct></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>République populaire de Chine</li></country><settlement><li>Sha Tin</li></settlement><orgName><li>Université chinoise de Hong Kong</li></orgName></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Li, Cuilian" sort="Li, Cuilian" uniqKey="Li C" first="Cuilian" last="Li">Cuilian Li</name></noRegion><name sortKey="Chen, Haoyu" sort="Chen, Haoyu" uniqKey="Chen H" first="Haoyu" last="Chen">Haoyu Chen</name><name sortKey="Chen, Li Jia" sort="Chen, Li Jia" uniqKey="Chen L" first="Li Jia" last="Chen">Li Jia Chen</name><name sortKey="Chen, Xueyu" sort="Chen, Xueyu" uniqKey="Chen X" first="Xueyu" last="Chen">Xueyu Chen</name><name sortKey="Pang, Chi Pui" sort="Pang, Chi Pui" uniqKey="Pang C" first="Chi Pui" last="Pang">Chi Pui Pang</name><name sortKey="Pang, Chi Pui" sort="Pang, Chi Pui" uniqKey="Pang C" first="Chi Pui" last="Pang">Chi Pui Pang</name><name sortKey="Zhang, Mingzhi" sort="Zhang, Mingzhi" uniqKey="Zhang M" first="Mingzhi" last="Zhang">Mingzhi Zhang</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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