基于百度指数的新型冠状病毒感染流行发生前后耳部症状健康问题网络关注度研究

doi:10.6040/j.issn.1673-3770.0.2023.049

摘要/Abstract

摘要： 目的了解新型冠状病毒感染流行发生前后耳部症状网络关注度变化趋势,利用百度指数观察全国新增新型冠状病毒感染确诊例数与公众关注度之间的相关性,探究网络数据对公共卫生事件早期预警的影响。方法在百度指数数据平台,提取关键词“耳聋”“耳鸣”“听力下降”“眩晕”“耳朵闷闷的堵住的感觉”“聋”新型冠状病毒感染流行发生前后搜索指数数据,采用单因素方差分析比较新型冠状病毒感染流行发生前后百度搜索指数差异,采用Pearson相关系数对新型冠状病毒感染流行期间百度搜索指数与全国新型冠状病毒感染每日新增确诊病例数变化趋势进行相关性分析。结果新型冠状病毒感染流行发生后(2020—2023年)耳部相关症状百度搜索指数与感染流行前(2017—2020年)同期相比,“耳聋”“耳鸣”“听力下降”“眩晕”“聋”症状的搜索指数大幅升高(P<0.001)。“耳聋”“听力下降”“眩晕”“耳朵闷闷的堵住的感觉”“聋”百度搜索指数与新增确诊病例均具有明显相关性(P<0.001)。结论新型冠状病毒感染流行发生后耳部症状网络关注度较发生前显著提高,新型冠状病毒感染新增确诊病例数与耳部症状百度搜索指数呈显著正相关,提示重视耳部症状健康管理有助于新型冠状病毒感染早期防治。

关键词: 新型冠状病毒, 百度指数, 耳部症状, 相关性分析, 网络关注度

Abstract: Objective This study aimed to understand the trend of online public attention toward ear symptoms before and after the SARS-CoV-2 infection outbreak, use the Baidu Index to explore the correlation between SARS-CoV-2 infection case numbers and public interest in China, and investigate the potential of online data as an early warning for public health events. Methods Keywords associated with ear symptoms(“hearing impairment”“tinnitus” “hearing loss”“vertigo” “ stuffy ears”“deafness”)were extracted from the Baidu index platform. Searched volume data were compared before and after the outbreak. We used a one-way analysis of variance to analyze differences in search volume pre- and post-outbreak. Pearson correlation coefficients were calculated between the Baidu search index and the daily trend of SARS-CoV-2 cases nationwide. Results Compared to the same period in previous years(2017-2020), online searches for “hearing impairment”“tinnitus” “hearing loss” “vertigo”“deafness” significantly increased 2020-2023(all P<0.001). The Baidu search index for “hearing impairment”“hearing loss” “vertigo” “stuffy ears” “deafness” showed significant positive correlations with new SARS-CoV-2 cases(all P<0.001). Conclusion Following the SARS-CoV-2 outbreak, online public attention to ear symptoms intensified. We observed a significant positive correlation between the Baidu search index for ear symptoms and the new number of COVID-19 cases. These findings suggest that monitoring online trends in ear symptoms may hold promise for early prevention and control of SARS-CoV-2.

Key words: SARS-CoV-2, Baidu index, Ear symptoms, Relativity analysis, Network attention

中图分类号:

R764.43

刘盼盼,赵赫,王琰,仇静静,刘大炜,孙岩. 基于百度指数的新型冠状病毒感染流行发生前后耳部症状健康问题网络关注度研究[J]. 山东大学耳鼻喉眼学报, 2024, 38(4): 7-14.

LIU Panpan, ZHAO He, WANG Yan, QIU Jingjing, LIU Dawei, SUN Yan. Based on baidu index SARS-CoV-2 infection ear symptoms before and after the outbreak of health network research attention[J]. Journal of Otolaryngology and Ophthalmology of Shandong University, 2024, 38(4): 7-14.

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