Pradeep Tejus, Ravipati Advaitaa, Melachuri Samyuktha, Fu Roxana
Department of Ophthalmology, University of Pennsylvania Scheie Eye Institute, Philadelphia, Pennsylvania, USA.
Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA.
Orbit. 2023 Apr;42(2):130-137. doi: 10.1080/01676830.2022.2040542. Epub 2022 Mar 3.
We aim to evaluate the utility of internet search query data in ophthalmology by: (1) Evaluating trends in searches for styes in the United States and worldwide, and (2) Performing a review of literature of infodemiological data in ophthalmology.
Google Trends search data for "stye" was analyzed from January 2004 to January 2020 in the United States and worldwide. Spearman's correlation coefficient and sinusoidal modeling were performed to assess the significance and seasonality of trends. Review of literature included searches for "ophthalmology Google trends," "ophthalmology twitter trends," "ophthalmology infodemiology," "eye google trends," and "social media ophthalmology."
Searches for styes were cyclical in the United States and globally with a steady increase from 2004 to 2020 (sum-of-squares F-test for sinusoidal model: p < .0001, r = 0.96). Peak search volume index (SVI) months were 7.9 months in the United States and 6.8 months worldwide. U.S. temperature and SVI for stye were correlated in the United States at the state, divisional, and country-wide levels (p < .005; p < .005; p < .01 respectively). Seven articles met our literature review inclusion criteria.
We present a novel finding of seasonality with global and U.S. searches for stye, and association of searches with temperature in the United States. Within ophthalmology, infodemiological literature has been used to track trends and identify seasonal disease patterns, perform disease surveillance, improve resource optimization by identifying regional hotspots, tailor marketing, and monitor institutional reputation. Future research into this domain may help identify further trends, improve prevention efforts, and reduce medical costs.
我们旨在通过以下方式评估互联网搜索查询数据在眼科中的效用:(1)评估美国和全球范围内麦粒肿搜索趋势;(2)对眼科信息流行病学数据的文献进行综述。
分析了2004年1月至2020年1月美国和全球范围内谷歌趋势中“麦粒肿”的搜索数据。采用斯皮尔曼相关系数和正弦模型来评估趋势的显著性和季节性。文献综述包括搜索“眼科谷歌趋势”“眼科推特趋势”“眼科信息流行病学”“眼睛谷歌趋势”和“社交媒体眼科”。
美国和全球范围内麦粒肿的搜索呈周期性,2004年至2020年呈稳步上升趋势(正弦模型的平方和F检验:p <.0001,r = 0.96)。美国的搜索量指数(SVI)峰值月份为7.9个月,全球为6.8个月。在美国,州、分区和全国层面上,麦粒肿的美国温度与SVI相关(分别为p <.005;p <.005;p <.01)。七篇文章符合我们的文献综述纳入标准。
我们发现了全球和美国麦粒肿搜索的季节性这一新颖发现,以及美国搜索与温度之间的关联。在眼科领域,信息流行病学文献已被用于跟踪趋势、识别季节性疾病模式、进行疾病监测、通过识别区域热点改善资源优化、定制营销以及监测机构声誉。该领域的未来研究可能有助于识别进一步的趋势、加强预防工作并降低医疗成本。