美国各地互联网搜索模式与疥疮发病率之间的关联

Kennedy Sparling, Pooja Dhupati
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引用次数: 0

摘要

背景疥疮是一种由疥螨引起的传染性皮肤病,是一个重大的公共卫生问题[1]。传统的疥疮监测方法存在时间滞后和数据不完整的问题,阻碍了早期检测和应对[5]。互联网和搜索引擎(如 GoogleTM)的广泛使用为替代监测方法提供了新的机遇。 目的 本研究旨在探讨美国各州在 Google TrendsTM (GTs) 上的疥疮搜索量与疥疮发病率之间的关系。方法 对 2011 年至 2019 年美国各州的 GTs 数据和疥疮发病率进行汇总统计和关联分析。结果 2011-2019 年间的平均斯皮尔曼相关系数表明,美国 "疥疮 "GTs RSVs 与疥疮发病率之间存在很强的正相关性。使用非配对 t 检验发现,这种相关性具有统计学意义。 结论 在资源匮乏的环境中,获得医疗服务是一个普遍的障碍,医疗服务提供者和部门可以利用这些信息有效地锁定目标人群,并利用资源来预防和治疗疥疮。分析搜索引擎的术语模式可以加深我们对人们怀疑有疥疮感染时的行为的了解。
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The Association Between Internet Search Patterns and Scabies Incidence Across the United States
Background Scabies, a contagious skin infestation caused by Sarcoptes scabiei, is a significant public health concern [1]. Traditional surveillance methods for scabies suffer from time lag and incomplete data, hindering early detection and response [5]. The widespread use of the internet and search engines, such as GoogleTM, offer new opportunities for alternative surveillance approaches.  Objective This study aimed to explore the association between scabies search volumes on Google TrendsTM (GTs) and scabies incidence at the state level across the United States. Methods GTs data for each U.S. state and scabies incidence from 2011 to 2019 were analyzed for summary statistics and association. Results The mean Spearman correlation coefficient for the period of 2011-2019 indicated a strong positive correlation between GTs RSVs for “scabies” and the incidence of scabies in the United States. Using an unpaired t-test, this correlation was found to be statistically significant.  Conclusions In resource-scarce environments where access to care is a common barrier, healthcare providers and departments can leverage this information to effectively target populations and employ resources for scabies prevention and treatment. Analyzing search engine term patterns can enhance our understanding of people's behavior when they suspect a scabies infestation.
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