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Correlation between National Influenza Surveillance Data and Search Queries from Mobile Devices and Desktops in South Korea
- Source :
- PLoS ONE, Vol 11, Iss 7, p e0158539 (2016), PLoS ONE
- Publication Year :
- 2016
- Publisher :
- Public Library of Science (PLoS), 2016.
-
Abstract
- Background Digital surveillance using internet search queries can improve both the sensitivity and timeliness of the detection of a health event, such as an influenza outbreak. While it has recently been estimated that the mobile search volume surpasses the desktop search volume and mobile search patterns differ from desktop search patterns, the previous digital surveillance systems did not distinguish mobile and desktop search queries. The purpose of this study was to compare the performance of mobile and desktop search queries in terms of digital influenza surveillance. Methods and results The study period was from September 6, 2010 through August 30, 2014, which consisted of four epidemiological years. Influenza-like illness (ILI) and virologic surveillance data from the Korea Centers for Disease Control and Prevention were used. A total of 210 combined queries from our previous survey work were used for this study. Mobile and desktop weekly search data were extracted from Naver, which is the largest search engine in Korea. Spearman's correlation analysis was used to examine the correlation of the mobile and desktop data with ILI and virologic data in Korea. We also performed lag correlation analysis. We observed that the influenza surveillance performance of mobile search queries matched or exceeded that of desktop search queries over time. The mean correlation coefficients of mobile search queries and the number of queries with an r-value of ≥ 0.7 equaled or became greater than those of desktop searches over the four epidemiological years. A lag correlation analysis of up to two weeks showed similar trends. Conclusion Our study shows that mobile search queries for influenza surveillance have equaled or even become greater than desktop search queries over time. In the future development of influenza surveillance using search queries, the recognition of changing trend of mobile search data could be necessary.
- Subjects :
- RNA viruses
Viral Diseases
020205 medical informatics
Computer science
Epidemiology
lcsh:Medicine
02 engineering and technology
Desktop search
Animal Diseases
Disease Outbreaks
Search engine
Database and Informatics Methods
0302 clinical medicine
Microcomputers
Information seeking behavior
Zoonoses
0202 electrical engineering, electronic engineering, information engineering
Medicine and Health Sciences
030212 general & internal medicine
Computer Networks
lcsh:Science
Pathology and laboratory medicine
Statistical Data
Multidisciplinary
Event (computing)
H1N1
Medical microbiology
Infectious Diseases
Veterinary Diseases
Influenza A virus
Population Surveillance
Information Retrieval
Physical Sciences
Viruses
The Internet
Swine Influenza
Smartphone
Pathogens
Mobile device
Statistics (Mathematics)
Research Article
Computer and Information Sciences
Infectious Disease Control
Information Seeking Behavior
education
Disease Surveillance
Research and Analysis Methods
Microbiology
03 medical and health sciences
Animal Influenza
Influenza, Human
Republic of Korea
Mobile search
Influenza viruses
Humans
Internet
Information retrieval
business.industry
lcsh:R
Volume (computing)
Organisms
Viral pathogens
Biology and Life Sciences
Influenza
Microbial pathogens
Search Engine
Infectious Disease Surveillance
Veterinary Science
lcsh:Q
business
Zoology
Mathematics
Orthomyxoviruses
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 11
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....dffc71f8574919e03c9fb4ab11be4028