%0期刊文章%@ 1438-8871 %I JMIR出版物%V 22%卡塔尔世界杯8强波胆分析 N 10% P e18581% T google for Ticks and Borreliosis in Germany:2015 - 2018年全国谷歌搜索分析%A Scheerer,Cora %A Rüth,Melvin %A Tizek,Linda %A Köberle,Martin %A Biedermann,Tilo %A Zink,Alexander %+慕尼黑工业大学皮肤病学和过敏系，biedersteinerster .29，慕尼黑，80802，德国，49 08941400,alexander.zink@tum.de %K谷歌%K信息流行病学%K信息监测%K公共卫生%K季节性健康趋势%K医疗互联网研究%K蜱传疾病%K蜱叮咬，疏螺旋体病%K莱姆病%D 2020 %7 16.10.2020 %9原始论文%J J医学互联网Res %G英文%X背景:疏螺旋体病是欧洲最常传播的蜱传疾病。由于德国所有16个联邦州缺乏登记义务，很难估计德国人口中蜱虫叮咬和相关疾病的发病率。目的:本研究的目的是为了表明谷歌数据可用于根据博螺旋体病和蜱叮咬产生传染病的总体趋势。此外，从促进公共卫生研究的角度，研究了在通知当局的义务不一致的情况下，使用谷歌AdWord数据估计传染病发病率的可能性。方法:使用谷歌AdWords关键字规划程序识别2015年1月至2018年12月在德国与蜱虫和螺旋体病相关的搜索词。使用Excel版本15.23评估来自确定的搜索词的搜索量数据。此外，使用SPSS 24.0版本计算搜索量、登记病例和温度之间的相关性。结果:在审查期间，德国所有16个联邦州共确定了1999个与蜱虫相关的搜索词和542个与鲍螺旋体病相关的搜索词，共计209,679,640谷歌次搜索。 The analysis showed a high correlation between temperature and borreliosis (r=0.88), and temperature and tick bite (r=0.83), and a very high correlation between borreliosis and tick bite (r=0.94). Furthermore, a high to very high correlation between Google searches and registered cases in each federal state was observed (Brandenburg r=0.80, Mecklenburg-West Pomerania r= 0.77, Saxony r= 0.74, and Saxony-Anhalt r=0.90; all P<.001). Conclusions: Our study provides insight into annual trends concerning interest in ticks and borreliosis that are relevant to the German population exemplary in the data of a large internet search engine. Public health studies collecting incidence data may benefit from the results indicating a significant correlation between internet search data and incidences of infectious diseases. %M 33064086 %R 10.2196/18581 %U //www.mybigtv.com/2020/10/e18581/ %U https://doi.org/10.2196/18581 %U http://www.ncbi.nlm.nih.gov/pubmed/33064086