scholarly article | Q13442814 |
P819 | ADS bibcode | 2016PLoSO..1158539S |
P356 | DOI | 10.1371/JOURNAL.PONE.0158539 |
P3181 | OpenCitations bibliographic resource ID | 183534 |
P932 | PMC publication ID | 4938422 |
P698 | PubMed publication ID | 27391028 |
P50 | author | Seung Mok Ryoo | Q41473424 |
P2093 | author name string | Soo-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 | |||
P2860 | cites work | Internet-based surveillance systems for monitoring emerging infectious diseases | Q38167501 |
Syndromic analysis of computerized emergency department patients' chief complaints: an opportunity for bioterrorism and influenza surveillance | Q39645123 | ||
Assessment of syndromic surveillance in Europe | Q57837886 | ||
Wikipedia usage estimates prevalence of influenza-like illness in the United States in near real-time | Q21558514 | ||
Global disease monitoring and forecasting with Wikipedia | Q21563470 | ||
Global trends in emerging infectious diseases | Q24575990 | ||
Infodemiology: tracking flu-related searches on the web for syndromic surveillance | Q24673075 | ||
Detecting influenza epidemics using search engine query data | Q27700189 | ||
Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic Scales | Q27700202 | ||
Enhancing disease surveillance with novel data streams: challenges and opportunities | Q28587206 | ||
Information technology and global surveillance of cases of 2009 H1N1 influenza | Q28749657 | ||
Scoping review on search queries and social media for disease surveillance: a chronology of innovation | Q30352463 | ||
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 2009-10 | Q30391949 | ||
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 detection | Q30414692 | ||
Correlation between national influenza surveillance data and google trends in South Korea. | Q30715864 | ||
Big data. The parable of Google Flu: traps in big data analysis | Q30777118 | ||
A case study of the New York City 2012-2013 influenza season with daily geocoded Twitter data from temporal and spatiotemporal perspectives | Q30863045 | ||
Cumulative query method for influenza surveillance using search engine data | Q30879049 | ||
GET WELL: an automated surveillance system for gaining new epidemiological knowledge | Q33878959 | ||
Analysing Twitter and web queries for flu trend prediction | Q33941897 | ||
National and local influenza surveillance through Twitter: an analysis of the 2012-2013 influenza epidemic | Q35071058 | ||
What is syndromic surveillance? | Q36043826 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 7 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | South Korea | Q884 |
P304 | page(s) | e0158539 | |
P577 | publication date | 2016-01-01 | |
P1433 | published in | PLOS One | Q564954 |
P1476 | title | Correlation between National Influenza Surveillance Data and Search Queries from Mobile Devices and Desktops in South Korea | |
P478 | volume | 11 |
Q91284328 | Association of sociodemographic factors and internet query data with pertussis infections in Shandong, China |
Q55514245 | Forecasting influenza epidemics by integrating internet search queries and traditional surveillance data with the support vector machine regression model in Liaoning, from 2011 to 2015. |
Q44969877 | Methods Using Social Media and Search Queries to Predict Infectious Disease Outbreaks |
Q90296308 | The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review |
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