Infodemiology研究百度索引数据乔- J地中海互联网Res SP - e27029六世- 23 - 7 KW降低尿路症状KW -病人教育KW -百度指数KW - Infodemiology KW -公共利益千瓦尿路疾病KW - infoveillance KW -网络搜索KW -搜索引擎KW -卫生保健政策KW -数字医疗AB -背景:下尿路症状(附近地区)描述的是一个最常见的排尿障碍。以前的调查主要集中在符合研究人员标准的病例的前瞻性识别上;因此，患者对LUTS的真正需求和相关问题可能会被忽视。目的:我们旨在通过使用中国大陆的主要搜索引擎，在全国和区域范围内研究与LUTS相关的网络搜索趋势和行为。方法:使用2011年1月至2020年9月的luts相关术语查询百度指数。记录每个词的搜索量，以分析搜索趋势和人口分布。针对用户兴趣，收集并分析用户需求图数据和趋势数据。结果:在13个LUTS域中，百度索引数据库中有11个域可用。每个LUTS域的百度搜索指数从37.78%到1.47%不等。 The search trends for urinary frequency (2011-2018: annual percent change APC=7.82%; P<.001), incomplete emptying (2011-2014: APC=17.74%; P<.001), nocturia (2011-2018: APC=11.54%; P<.001), dysuria (2017-2020: APC=20.77%; P<.001), and incontinence (2011-2016: APC=13.39%; P<.001) exhibited fluctuations over time. The search index trends for weak stream (2011-2017: APC=−4.68%; P<.001; 2017-2020: APC=9.32%; P=.23), split stream (2011-2013: APC=9.50%; P=.44; 2013-2020: APC=2.05%; P=.71), urgency (2011-2018: APC=−2.63%; P=.03; 2018-2020: APC=8.58%; P=.19), and nocturnal enuresis (2011-2018: APC=−3.20%; P=.001; 2018-2020: APC=−4.21%; P=.04) remained relatively stable and consistent. The age distribution of the population for all LUTS-related inquiries showed that individuals aged 20 to 40 years made 73.86% (49,218,123/66,635,247) of the total search inquiries. Further, individuals aged 40 to 49 years made 12.29% (8,193,922/66,635,247) of the total search inquiries for all LUTS-related terms. People from the east part of China made 67.79% (45,172,031/66,635,247) of the total search queries. Additionally, most of the searches for LUTS-related terms were related to those for urinary diseases to varying degrees. Conclusions: Web-based interest in LUTS-related terms fluctuated wildly and was reflected timely by Baidu Index in mainland China. The web-based search popularity of each LUTS-related term varied significantly and differed based on personal interests, the population’s concerns, regional variations, and gender. These data can be used by care providers to track the prevalence of LUTS and the population’s interests, guide the establishment of disease-specific health care policies, and optimize physician-patient health care sessions. SN - 1438-8871 UR - //www.mybigtv.com/2021/7/e27029 UR - https://doi.org/10.2196/27029 UR - http://www.ncbi.nlm.nih.gov/pubmed/34255683 DO - 10.2196/27029 ID - info:doi/10.2196/27029 ER -