未经评估:从2020年初开始,世界陷入了由新型冠状病毒病-19(COVID-19)引起的大流行。人们越来越多地在互联网网站上搜索与COVID-19相关的信息。百度指数是一个数据共享平台。提供的主要数据是搜索索引(SI),表示关键字在搜索中使用的频率。
未经批准:2020年1月9日是COVID-19在中国爆发的重要日期。我们比较了7个关键词的SI前后的变化,包括“发烧”,\"咳嗽\",“恶心”,“呕吐”,“腹痛”,\"腹泻\",“便秘”。比较了SI变化曲线的斜率和峰值。选取了中国十个省份进行单独分析,包括北京,甘肃,广东,广西,黑龙江,湖北,四川,上海,新疆,西藏。分别分析SI的变化,并分析了SI与人口和经济数据之间的相关性。
未经批准:在第一阶段,从2020年1月9日至1月25日,“腹泻”的SI平均日增幅(ADI)低于“咳嗽”(889.47vs.1,799.12,F=11.43,P=0.002)。在第二阶段,从2020年1月25日至4月8日,“腹泻”的SI平均日下降(ADD)显着低于“咳嗽”,具有统计学意义(咳嗽,191.40vs.441.44,F=68.66,P<0.001)。2020年1月9日(SI前)后的平均SI低于2020年1月9日(SI后)(发烧,2,616.41±116.92vs.3,724.51±867.81,P<0.001;咳嗽,3,260.04±308.43vs.5,590.66±874.25,P<0.001;腹泻,4,128.80±200.82vs.4,423.55±1,058.01,P<0.001)。前SI平均值与人口(P=0.004,R=0.813)和国内生产总值(GDP)(P<0.001,R=0.966)相关。SI后峰值与人群相关(P=0.007,R=0.789),国内生产总值(P=0.005,R=0.804),和先前确诊病例(PCC)(P=0.03,R=0.670)。SI的增长率与SI后峰值相关(P=0.04,R=0.649),PCC(P=0.003,R=0.835)。
UNASSIGNED:在COVID-19爆发前后,腹泻在各省都受到广泛关注,可能与新型冠状病毒感染有关。互联网大数据可以反映公众对疾病的关注,这对于研究疾病的流行病学特征具有重要意义。
UNASSIGNED: From the beginning of 2020, the world was plunged into a pandemic caused by the novel coronavirus disease-19 (COVID-19). People increasingly searched for information related to COVID-19 on internet websites. The Baidu Index is a data sharing platform. The main data provided is the search index (SI), which represents the frequency that keywords are used in searches.
UNASSIGNED: January 9, 2020 is an important date for the outbreak of COVID-19 in
China. We compared the changes of SI before and after for 7 keywords, including \"fever\", \"cough\", \"nausea\", \"vomiting\", \"abdominal pain\", \"diarrhea\", \"constipation\". The slope and peak values of SI change curves are compared. Ten provinces in
China were selected for a separate analysis, including Beijing, Gansu, Guangdong, Guangxi, Heilongjiang, Hubei, Sichuan, Shanghai, Xinjiang, Tibet. The change of SI was analyzed separately, and the correlation between SI and demographic and economic data was analyzed.
UNASSIGNED: During period I, from January 9 to January 25, 2020, the average daily increase (ADI) of the SI for \"diarrhea\" was lower than that for \"cough\" (889.47 vs. 1,799.12, F=11.43, P=0.002). In period II, from January 25 to April 8, 2020, the average daily decrease (ADD) of the SI for \"diarrhea\" was significantly lower than that for \"cough\", with statistical significance (cough, 191.40 vs. 441.44, F=68.66, P<0.001). The mean SI after January 9, 2020 (pre-SI) was lower than that before January 9, 2020 (post-SI) (fever, 2,616.41±116.92 vs. 3,724.51±867.81, P<0.001; cough, 3,260.04±308.43 vs. 5,590.66±874.25, P<0.001; diarrhea, 4,128.80±200.82 vs. 4,423.55±1,058.01, P<0.001). The pre-SI mean was correlated with population (P=0.004, R=0.813) and gross domestic product (GDP) (P<0.001, R=0.966). The post-SI peak was correlated with population (P=0.007, R=0.789), GDP (P=0.005, R=0.804), and previously confirmed cases (PCC) (P=0.03, R=0.670). The growth rate of the SI was correlated with the post-SI peak (P=0.04, R=0.649), PCC (P=0.003, R=0.835).
UNASSIGNED: Diarrhea was of widespread concern in all provinces before and after the COVID-19 outbreak and may be associated with novel coronavirus infection. Internet big data can reflect the public\'s concern about diseases, which is of great significance for the study of the epidemiological characteristics of diseases.