Correlation between national influenza surveillance data and google trends in South Korea.

<h4>Background</h4>In South Korea, there is currently no syndromic surveillance system using internet search data, including Google Flu Trends. The purpose of this study was to investigate the correlation between national influenza surveillance data and Google Trends in South Korea.<h...

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Autores principales:	Sungjin Cho, Chang Hwan Sohn, Min Woo Jo, Soo-Yong Shin, Jae Ho Lee, Seoung Mok Ryoo, Won Young Kim, Dong-Woo Seo
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ddf242ef2df24bbea6f5760e44397218
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spelling	oai:doaj.org-article:ddf242ef2df24bbea6f5760e443972182021-11-18T08:43:20ZCorrelation between national influenza surveillance data and google trends in South Korea.1932-620310.1371/journal.pone.0081422https://doaj.org/article/ddf242ef2df24bbea6f5760e443972182013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24339927/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>In South Korea, there is currently no syndromic surveillance system using internet search data, including Google Flu Trends. The purpose of this study was to investigate the correlation between national influenza surveillance data and Google Trends in South Korea.<h4>Methods</h4>Our study was based on a publicly available search engine database, Google Trends, using 12 influenza-related queries, from September 9, 2007 to September 8, 2012. National surveillance data were obtained from the Korea Centers for Disease Control and Prevention (KCDC) influenza-like illness (ILI) and virologic surveillance system. Pearson's correlation coefficients were calculated to compare the national surveillance and the Google Trends data for the overall period and for 5 influenza seasons.<h4>Results</h4>The correlation coefficient between the KCDC ILI and virologic surveillance data was 0.72 (p<0.05). The highest correlation was between the Google Trends query of H1N1 and the ILI data, with a correlation coefficient of 0.53 (p<0.05), for the overall study period. When compared with the KCDC virologic data, the Google Trends query of bird flu had the highest correlation with a correlation coefficient of 0.93 (p<0.05) in the 2010-11 season. The following queries showed a statistically significant correlation coefficient compared with ILI data for three consecutive seasons: Tamiflu (r = 0.59, 0.86, 0.90, p<0.05), new flu (r = 0.64, 0.43, 0.70, p<0.05) and flu (r = 0.68, 0.43, 0.77, p<0.05).<h4>Conclusions</h4>In our study, we found that the Google Trends for certain queries using the survey on influenza correlated with national surveillance data in South Korea. The results of this study showed that Google Trends in the Korean language can be used as complementary data for influenza surveillance but was insufficient for the use of predictive models, such as Google Flu Trends.Sungjin ChoChang Hwan SohnMin Woo JoSoo-Yong ShinJae Ho LeeSeoung Mok RyooWon Young KimDong-Woo SeoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 12, p e81422 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sungjin Cho Chang Hwan Sohn Min Woo Jo Soo-Yong Shin Jae Ho Lee Seoung Mok Ryoo Won Young Kim Dong-Woo Seo Correlation between national influenza surveillance data and google trends in South Korea.
description	<h4>Background</h4>In South Korea, there is currently no syndromic surveillance system using internet search data, including Google Flu Trends. The purpose of this study was to investigate the correlation between national influenza surveillance data and Google Trends in South Korea.<h4>Methods</h4>Our study was based on a publicly available search engine database, Google Trends, using 12 influenza-related queries, from September 9, 2007 to September 8, 2012. National surveillance data were obtained from the Korea Centers for Disease Control and Prevention (KCDC) influenza-like illness (ILI) and virologic surveillance system. Pearson's correlation coefficients were calculated to compare the national surveillance and the Google Trends data for the overall period and for 5 influenza seasons.<h4>Results</h4>The correlation coefficient between the KCDC ILI and virologic surveillance data was 0.72 (p<0.05). The highest correlation was between the Google Trends query of H1N1 and the ILI data, with a correlation coefficient of 0.53 (p<0.05), for the overall study period. When compared with the KCDC virologic data, the Google Trends query of bird flu had the highest correlation with a correlation coefficient of 0.93 (p<0.05) in the 2010-11 season. The following queries showed a statistically significant correlation coefficient compared with ILI data for three consecutive seasons: Tamiflu (r = 0.59, 0.86, 0.90, p<0.05), new flu (r = 0.64, 0.43, 0.70, p<0.05) and flu (r = 0.68, 0.43, 0.77, p<0.05).<h4>Conclusions</h4>In our study, we found that the Google Trends for certain queries using the survey on influenza correlated with national surveillance data in South Korea. The results of this study showed that Google Trends in the Korean language can be used as complementary data for influenza surveillance but was insufficient for the use of predictive models, such as Google Flu Trends.
format	article
author	Sungjin Cho Chang Hwan Sohn Min Woo Jo Soo-Yong Shin Jae Ho Lee Seoung Mok Ryoo Won Young Kim Dong-Woo Seo
author_facet	Sungjin Cho Chang Hwan Sohn Min Woo Jo Soo-Yong Shin Jae Ho Lee Seoung Mok Ryoo Won Young Kim Dong-Woo Seo
author_sort	Sungjin Cho
title	Correlation between national influenza surveillance data and google trends in South Korea.
title_short	Correlation between national influenza surveillance data and google trends in South Korea.
title_full	Correlation between national influenza surveillance data and google trends in South Korea.
title_fullStr	Correlation between national influenza surveillance data and google trends in South Korea.
title_full_unstemmed	Correlation between national influenza surveillance data and google trends in South Korea.
title_sort	correlation between national influenza surveillance data and google trends in south korea.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/ddf242ef2df24bbea6f5760e44397218
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Correlation between national influenza surveillance data and google trends in South Korea.

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