摘要
目的分析互联网中文搜索词搜索情况和广东省甲型H1N1流感活动情况的相关性,探索网络搜索数据在流感等疾病监测中的应用。方法利用流感监测系统和互联网搜索引擎,回顾性搜集2009年H1N1流感监测数据和网络搜索数据,并采用描述性统计和Pearson相关分析方法进行数据分析。结果广东省全年甲型H1N1流感活动在第48周达到高峰,流感监测数据和"甲流"网络搜索情况呈正相关(r=0.914,P<0.001)。结论与流感有关的网络搜索情况较好地反映了流感活动水平,网络搜索数据可作为辅助流感等传染病监测的数据源。
Objective To determine whether H1N1 influenza epidemic correlates with occurrence of various queries related to influenza. Method We obtained web queries data using the internet search engine ＂Google＂ website and measured their correlation with influenza surveillance results during 2009 from Guangdong Provincial Center for Disease Control and Prevention （GDCDC）using the Pearson correlation analysis. Results The activity of H1Nl influenza peaked in the 48th week in Guangdong. There was a strong correlation between the pattern of influenza-related web query and the GDCDC＇s surveillance resuhs（r=0.914,P〈0.001 ）. Conclusion Web query has the potential to become a useful and supplementary data source for influenza and other disease surveillance.
出处
《热带医学杂志》
CAS
2011年第6期629-632,共4页
Journal of Tropical Medicine
基金
广东省医学科研基金(A2010067)
