Correlation between National Influenza Surveillance Data and Search Queries from Mobile Devices and Desktops in South Korea.
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 pa...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2016-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4938422?pdf=render |
| _version_ | 1819062678847488000 |
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| author | Soo-Yong Shin Taerim Kim Dong-Woo Seo Chang Hwan Sohn Sung-Hoon Kim Seung Mok Ryoo Yoon-Seon Lee Jae Ho Lee Won Young Kim Kyoung Soo Lim |
| author_facet | Soo-Yong Shin Taerim Kim Dong-Woo Seo Chang Hwan Sohn Sung-Hoon Kim Seung Mok Ryoo Yoon-Seon Lee Jae Ho Lee Won Young Kim Kyoung Soo Lim |
| author_sort | Soo-Yong Shin |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-21T15:02:36Z |
| format | Article |
| id | doaj.art-8c8eb18501214d7eb54f311b00e8e3d5 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-21T15:02:36Z |
| publishDate | 2016-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-8c8eb18501214d7eb54f311b00e8e3d52022-12-21T18:59:32ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01117e015853910.1371/journal.pone.0158539Correlation between National Influenza Surveillance Data and Search Queries from Mobile Devices and Desktops in South Korea.Soo-Yong ShinTaerim KimDong-Woo SeoChang Hwan SohnSung-Hoon KimSeung Mok RyooYoon-Seon LeeJae Ho LeeWon Young KimKyoung Soo LimBACKGROUND: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.http://europepmc.org/articles/PMC4938422?pdf=render |
| spellingShingle | Soo-Yong Shin Taerim Kim Dong-Woo Seo Chang Hwan Sohn Sung-Hoon Kim Seung Mok Ryoo Yoon-Seon Lee Jae Ho Lee Won Young Kim Kyoung Soo Lim Correlation between National Influenza Surveillance Data and Search Queries from Mobile Devices and Desktops in South Korea. PLoS ONE |
| title | Correlation between National Influenza Surveillance Data and Search Queries from Mobile Devices and Desktops in South Korea. |
| title_full | Correlation between National Influenza Surveillance Data and Search Queries from Mobile Devices and Desktops in South Korea. |
| title_fullStr | Correlation between National Influenza Surveillance Data and Search Queries from Mobile Devices and Desktops in South Korea. |
| title_full_unstemmed | Correlation between National Influenza Surveillance Data and Search Queries from Mobile Devices and Desktops in South Korea. |
| title_short | Correlation between National Influenza Surveillance Data and Search Queries from Mobile Devices and Desktops in South Korea. |
| title_sort | correlation between national influenza surveillance data and search queries from mobile devices and desktops in south korea |
| url | http://europepmc.org/articles/PMC4938422?pdf=render |
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