@Article{信息:doi 10.2196 / / jmir。3680，作者=“徐东宇，赵敏宇，孙敏宇，张焕，申秀勇，李秀勇，JaeHo, Yu, Maengsoo, Kim, Won Young, Lim, Kyoung Soo, Lee, Sang-Il”，标题=“基于搜索引擎数据的流感监测累积查询方法”，期刊=“J Med Internet Res”，年=“2014”，月=“12”，日=“16”，卷=“16”，数=“12”，页=“e289”，关键词=“综合征监测系统;流感;流感样疾病;谷歌流感趋势;互联网搜索;背景:互联网搜索查询已成为综合征监测系统的重要数据源。但是，韩国目前还没有利用互联网搜索查询数据的综合征监测系统。目的:本研究的目的是检验我们的累积查询方法与国家流感监测数据之间的相关性。方法:我们的研究基于本地搜索引擎，Daum(大约25 %的市场份额)，以及来自韩国疾病控制和预防中心的流感样疾病(ILI)数据。 A quota sampling survey was conducted with 200 participants to obtain popular queries. We divided the study period into two sets: Set 1 (the 2009/10 epidemiological year for development set 1 and 2010/11 for validation set 1) and Set 2 (2010/11 for development Set 2 and 2011/12 for validation Set 2). Pearson's correlation coefficients were calculated between the Daum data and the ILI data for the development set. We selected the combined queries for which the correlation coefficients were .7 or higher and listed them in descending order. Then, we created a cumulative query method n representing the number of cumulative combined queries in descending order of the correlation coefficient. Results: In validation set 1, 13 cumulative query methods were applied, and 8 had higher correlation coefficients (min=.916, max=.943) than that of the highest single combined query. Further, 11 of 13 cumulative query methods had an r value of ≥.7, but 4 of 13 combined queries had an r value of ≥.7. In validation set 2, 8 of 15 cumulative query methods showed higher correlation coefficients (min=.975, max=.987) than that of the highest single combined query. All 15 cumulative query methods had an r value of ≥.7, but 6 of 15 combined queries had an r value of ≥.7. Conclusions: Cumulative query method showed relatively higher correlation with national influenza surveillance data than combined queries in the development and validation set. ", issn="1438-8871", doi="10.2196/jmir.3680", url="//www.mybigtv.com/2014/12/e289/", url="https://doi.org/10.2196/jmir.3680", url="http://www.ncbi.nlm.nih.gov/pubmed/25517353" }