Cao Y J, Xu R, Tao X Y, Shi J B, Chen F H
Otorhinolaryngology Hospital, The First Affiliated Hospital of Sun Yat-sen University, Key Laboratory of Otorhinolaryngology of Guangzhou, Guangzhou 510080, China(is working on the Department of Otorhinolaryngology, Eye, Ear, Nose and Throat Hospital, Shanghai Medical College, Fudan University, Shanghai 200031, China).
Otorhinolaryngology Hospital, The First Affiliated Hospital of Sun Yat-sen University, Key Laboratory of Otorhinolaryngology of Guangzhou, Guangzhou 510080, China.
Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 2019 Dec 7;54(12):888-893. doi: 10.3760/cma.j.issn.1673-0860.2019.12.002.
To explore the temporal and spatial characteristics of search volume (SV) of allergic rhinitis (AR) and related search terms on Baidu Index, as well as the correlation between SV from Baidu Index and epidemiology of AR. SV of AR and related search terms in mainland area of China from January 2012 to December 2016 were extracted from Baidu Index. Firstly, we investigated the temporal and spatial characteristics of SV of AR and related search terms ("pollen allergy" and" dust mite allergy", etc.), and explored the correlation between SV of AR and SV of related search terms. Secondly, the SV of specific search terms in Beijing and Guangzhou were compared with the actual pollen count in Beijing from April to September in 2016 and the monthly outpatient volume of AR patients in the Otorhinolaryngology Hospital, The First Affiliated Hospital of Sun Yat-sen University from 2014 to 2016 respectively to analyze the consistency between SV from Baidu Index and the real-world data. correlation analysis was used to explore the correlation between different search terms according to the normality and homogeneity of variance of the data. 0.05 was considered statistically significant. SV of AR showed repetitively seasonal pattern, with the first peak in May and the second peak from August to September. SV of AR in northeast China, north China and northwest China were correlated with both SV of "pollen allergy" and "dust mite allergy" ( value was 0.533, 0.638, 0.609, 0.791, 0.517, 0.682, respectively, all 0.05). In east China, central China, south China and southwest China, SV of AR showed significant correlation only with SV of "dust mite allergy" ( value was 0.897, 0.884, 0.799, 0.937, respectively, all 0.05), but not with SV of "pollen allergy" ( value was 0.110, 0.171, 0.020, 0.265, respectively, all 0.05). The correlation between pollen count and the SV of AR on the day and SV of "pollen allergy" on the next day was the highest ( value was 0.692 and 0.713, respectively, all 0.05). The SV of AR was correlated with the monthly outpatient volume of AR patients one month and two months later ( value was 0.523 and 0.503, respectively, all 0.05). The SV of AR and related search terms show different trends in different times and regions which are consistent with the AR epidemiological survey, and significantly correlate with pollen count and AR outpatient volume.
为探究百度指数中过敏性鼻炎（AR）及相关检索词的搜索量（SV）的时空特征，以及百度指数SV与AR流行病学之间的相关性。从百度指数中提取2012年1月至2016年12月中国内地AR及相关检索词（“花粉过敏”和“尘螨过敏”等）的SV。首先，我们调查了AR及相关检索词（“花粉过敏”和“尘螨过敏”等）SV的时空特征，并探究AR的SV与相关检索词的SV之间的相关性。其次，分别将北京和广州特定检索词的SV与2016年4月至9月北京的实际花粉计数以及2014年至2016年中山大学附属第一医院耳鼻咽喉科AR患者的月门诊量进行比较，以分析百度指数SV与实际数据之间的一致性。根据数据的正态性和方差齐性，采用相关分析探究不同检索词之间的相关性。P<0.05被认为具有统计学意义。AR的SV呈现出重复的季节性模式，5月出现第一个峰值，8月至9月出现第二个峰值。中国东北、华北和西北地区AR的SV与“花粉过敏”和“尘螨过敏”的SV均相关（P值分别为0.533、0.638、0.609、0.791、0.517、0.682，均P<0.05）。在中国华东、华中、华南和西南地区，AR的SV仅与“尘螨过敏”的SV呈显著相关（P值分别为0.897、0.884、0.799、0.937，均P<0.05），而与“花粉过敏”的SV不相关（P值分别为0.110、0.171、0.020、0.265，均P>0.05）。花粉计数与当日AR的SV以及次日“花粉过敏”的SV之间的相关性最高（P值分别为0.692和0.713，均P<0.05）。AR的SV与1个月和2个月后AR患者的月门诊量相关（P值分别为0.523和0.503，均P<0.05）。AR及相关检索词的SV在不同时间和地区呈现出不同趋势，这与AR流行病学调查结果一致，且与花粉计数和AR门诊量显著相关。
