Correlation between National Influenza Surveillance Data and Search Queries from Mobile Devices and Desktops in South Korea

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Correlation between National Influenza Surveillance Data and Search Queries from Mobile Devices and Desktops in South Korea is …
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scholarly articleQ13442814

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P819ADS bibcode2016PLoSO..1158539S
P356DOI10.1371/JOURNAL.PONE.0158539
P3181OpenCitations bibliographic resource ID183534
P932PMC publication ID4938422
P698PubMed publication ID27391028

P50authorSeung Mok RyooQ41473424
P2093author name stringSoo-Yong Shin
Sung-Hoon Kim
Jae Ho Lee
Yoon-Seon Lee
Kyoung Soo Lim
Won Young Kim
Chang Hwan Sohn
Dong-Woo Seo
Taerim Kim
P2860cites workInternet-based surveillance systems for monitoring emerging infectious diseasesQ38167501
Syndromic analysis of computerized emergency department patients' chief complaints: an opportunity for bioterrorism and influenza surveillanceQ39645123
Assessment of syndromic surveillance in EuropeQ57837886
Wikipedia usage estimates prevalence of influenza-like illness in the United States in near real-timeQ21558514
Global disease monitoring and forecasting with WikipediaQ21563470
Global trends in emerging infectious diseasesQ24575990
Infodemiology: tracking flu-related searches on the web for syndromic surveillanceQ24673075
Detecting influenza epidemics using search engine query dataQ27700189
Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic ScalesQ27700202
Enhancing disease surveillance with novel data streams: challenges and opportunitiesQ28587206
Information technology and global surveillance of cases of 2009 H1N1 influenzaQ28749657
Scoping review on search queries and social media for disease surveillance: a chronology of innovationQ30352463
What can digital disease detection learn from (an external revision to) Google Flu Trends?Q30364403
Monitoring influenza activity in Europe with Google Flu Trends: comparison with the findings of sentinel physician networks – results for 2009-10Q30391949
Web query-based surveillance in Sweden during the influenza A(H1N1)2009 pandemic, April 2009 to February 2010.Q30402753
Public health surveillance and infectious disease detectionQ30414692
Correlation between national influenza surveillance data and google trends in South Korea.Q30715864
Big data. The parable of Google Flu: traps in big data analysisQ30777118
A case study of the New York City 2012-2013 influenza season with daily geocoded Twitter data from temporal and spatiotemporal perspectivesQ30863045
Cumulative query method for influenza surveillance using search engine dataQ30879049
GET WELL: an automated surveillance system for gaining new epidemiological knowledgeQ33878959
Analysing Twitter and web queries for flu trend predictionQ33941897
National and local influenza surveillance through Twitter: an analysis of the 2012-2013 influenza epidemicQ35071058
What is syndromic surveillance?Q36043826
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue7
P407language of work or nameEnglishQ1860
P921main subjectSouth KoreaQ884
P304page(s)e0158539
P577publication date2016-01-01
P1433published inPLOS OneQ564954
P1476titleCorrelation between National Influenza Surveillance Data and Search Queries from Mobile Devices and Desktops in South Korea
P478volume11

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cites work (P2860)
Q91284328Association of sociodemographic factors and internet query data with pertussis infections in Shandong, China
Q55514245Forecasting influenza epidemics by integrating internet search queries and traditional surveillance data with the support vector machine regression model in Liaoning, from 2011 to 2015.
Q44969877Methods Using Social Media and Search Queries to Predict Infectious Disease Outbreaks
Q90296308The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review

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