一种识别与结膜炎和其他常见眼部疾病相关的基于web的搜索模式的独特的日卡塔尔世界杯8强波胆分析和日的趋势方法:信息流行病学研究%A Deiner,Michael S %A Kaur, gururbani %A McLeod,Stephen D %A Schallhorn,Julie M %A Chodosh,James %A Hwang,Daniel H %A Lietman,Thomas M %A Porco,Travis C %+流行病学和生物统计学系，加州大学旧金山分校，490 Illinois St, 2楼，Box 0944，美国加州旧金山，1 415 476 4101，travis.porco@ucsf.edu %K每日眼病%K周期表%K网上搜索%K网上搜索%K眼病%K信息流行病学%K干眼%K结膜炎%K红眼%K信息搜索%K视力%D 2022 %7 5.7.2022 %9原始论文%J J医学互联网研究%G英语%X背景:研究表明一些眼病的发生有日规律。利用新的信息源，如基于网络的搜索数据，来了解更多关于这种模式的信息，可以提高对患者眼部相关疾病和健康状况的了解，更好地为临床和远程眼科护理提供时间信息，并提高针对服务不足人群的基于网络的公共卫生运动的精确度。目的:为了调查我们的假设，即公众可能会在一天的不同时间或一周的不同天持续搜索不同的眼科疾病，我们进行了一项观察性研究，使用与眼科疾病相关的词汇搜索数据，如结膜炎。我们评估了搜索量是否反映了每天或每周的模式，以及这些模式是否彼此不同。方法:我们设计了一项研究，分析和比较每小时搜索数据的眼睛相关和控制搜索项，使用时间序列回归模型的趋势和周期项剔除异常值，然后估计日效应。我们计划了一个谷歌趋势设置，从美国10个州提取2018年全年的数据。暴露是互联网搜索，参与者是使用我们选择的研究术语通过谷歌的搜索引擎进行搜索的人群。我们的主要结果衡量标准包括周期性的每小时和每周的网络搜索模式。 For statistical analyses, we considered P<.001 to be statistically significant. Results: Distinct diurnal (P<.001 for all search terms) and day-of-week search patterns for eye-related terms were observed but with differing peak time periods and cyclic strengths. Some diurnal patterns represented those reported from prior clinical studies. Of the eye-related terms, “pink eye” showed the largest diurnal amplitude-to-mean ratios. Stronger signal was restricted to and peaked in mornings, and amplitude was higher on weekdays. By contrast, “dry eyes” had a higher amplitude diurnal pattern on weekends, with stronger signal occurring over a broader evening-to-morning period and peaking in early morning. Conclusions: The frequency of web-based searches for various eye conditions can show cyclic patterns according to time of the day or week. Further studies to understand the reasons for these variations may help supplement the current clinical understanding of ophthalmologic symptom presentation and improve the timeliness of patient messaging and care interventions. %M 35537041 %R 10.2196/27310 %U //www.mybigtv.com/2022/7/e27310 %U https://doi.org/10.2196/27310 %U http://www.ncbi.nlm.nih.gov/pubmed/35537041