眼科中有关HEV(蓝)光的网络查询行为

A. Al-Imam, H. J. Al-Doori, Luay Mahmoud Hassan
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引用次数: 0

摘要

背景:高能可见光(HEV)在可见光谱的紫蓝色波段具有高频。蓝光通过光化学诱导的视网膜损伤与眼科有关。目的:探讨HEV光在线搜索行为的时空映射。材料和方法:我们通过微软谷歌趋势检索了网络搜索量的原始数据,使用了五个搜索主题;2004-2020年期间的“HEV光的生物效应”、“视力损伤”、“黄斑变性”、“视网膜撕裂”和“视网膜脱离”。结果:主要来自远东和澳大拉西亚的网络用户对搜索“黄斑变性”和“视力障碍”主题的在线信息最感兴趣,对“HEV光的生物效应”和“视网膜脱离”中等感兴趣,而对“视网膜撕裂”最不感兴趣。来自中东和阿拉伯世界的互联网用户对整体地图的贡献微乎其微。2004-2006年和2018-2020年,网络查询在时间上都有所增加;然而,这些趋势是对特定搜索主题的回应。例如,“HEV光的生物效应”的搜索量在2018-2020年显著增加。预测模型对于“HEV光的生物效应”是最准确的。“视力受损”与“黄斑变性”的相关性最强。方差分析、线性建模和机器学习一致认为预测因子对网络搜索量的显著影响(搜索主题和时间)。结论:网络查询映射为HEV光照与视网膜损伤之间的因果关系提供了间接证据。未来的研究需要严格的观察和实验研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Web Query Behaviour Concerning HEV (Blue) Light in Ophthalmology
Background: High-energy visible (HEV) possesses high-frequency in the violet-blue band of the visible light spectrum. Blue light has relevance to ophthalmology via photochemically-induced retinal injury. Objectives: To explore the spatial-temporal mapping of online search behavior concerning HEV light. Materials and Methods: We retrieved raw data of web search volume, via Microsoft Google Trends, using five search topics; "Biological effects of HEV light", "Vision impairment", "Macular degeneration", "Retinal tear", and "Retinal detachment", for the period 2004-2020. Results: Web users, mainly from Far-East Asia and Australasia, were most interested in seeking online information concerning "Macular degeneration" and "Vision impairment" search topics, moderately interested in "Biological effects of HEV light" and "Retinal detachment", and least interested in "Retinal tear". Internet users from the Middle East and Arab world contributed minimally to the holistic map. Web queries increased at both chronological ends, 2004-2006 and 2018-2020; however, these trends were respondent to specific search topics. For instance, the search volume for the "Biological effects of HEV light" increased significantly in 2018-2020. Predictive modeling was most accurate for "Biological effects of HEV light". The strongest correlation was for "Vision impairment" versus "Macular degeneration". ANOVA, linear modeling, and machine learning unanimously agreed on predictors' significant effect (search topics and time) on the web search volume. Conclusion: Web queries' mapping provided indirect evidence on the causality between HEV light and retinal damage. Future research mandates rigor observational and experimental studies.
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