Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea

Hyekyung Woo; Youngtae Cho; Eunyoung Shim; Jong‐Koo Lee; Chang-Gun Lee; Seong Hwan Kim

doi:10.2196/jmir.4955

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JOURNAL ARTICLE

Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea

Hyekyung Woo Youngtae Cho Eunyoung Shim Jong‐Koo Lee Chang-Gun Lee Seong Hwan Kim

Year: 2016 Journal: Journal of Medical Internet Research Vol: 18 (7)Pages: e177-e177 Publisher: JMIR Publications

DOI: 10.2196/jmir.4955

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Abstract

These results demonstrate the feasibility of using search queries to enhance influenza surveillance in South Korea. In addition, an approach for query selection using social media data seems ideal for supporting influenza surveillance based on search query data.

Keywords:

Social media Computer science Outbreak Web search query Information retrieval Search engine World Wide Web Internet privacy Data science Data mining Virology Medicine

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9.15

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Data-Driven Disease Surveillance

Health Sciences → Medicine → Epidemiology

Influenza Virus Research Studies

Health Sciences → Medicine → Epidemiology

Respiratory viral infections research

Health Sciences → Medicine → Epidemiology

Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea

Abstract

Metrics

Citation History

Topics

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