巴西Covid-19大流行期间与互联网搜索运动相关的因素:使用谷歌趋势的信息流行病学研究(预印本)

Sonny Allan Silva Bezerra, Wellington Roberto Gomes de Carvalho, Every Lianne Monteiro Barros, Levy Rezende, Emanuel Péricles Salvador
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引用次数: 0

摘要

当前的Covid-19大流行导致一些国家采取了社交距离和隔离措施。一些研究已经使用谷歌趋势作为各种主题的数据恢复工具,例如在政治当局发表声明后对氯喹及其衍生物的搜索增加。需要讨论的一个相关问题是,采取社会距离措施后缺乏身体活动的人数增加,这可能会增加另一种流行病的数量:久坐不动的生活方式及其相关的合并症。另一个问题是,谷歌趋势是否能成为衡量人们对体育活动和锻炼兴趣的有效工具。目的调查新冠肺炎大流行期间巴西在线运动搜索模式的变化以及社会隔离和社会经济变量的影响。方法利用谷歌趋势恢复前五年和2020年1月1日至2020年5月16日两个时间段“健身与美容”类别中“体育锻炼”主题的搜索量。截止日期是3月12日。在此截止后,实际搜索量和指数平滑预测的值使用学生t检验进行比较。建立了两个线性回归模型。在第一阶段,第二阶段的搜索量为结果变量,政府反应严格度指数(GSRI)为预测变量。在第二个模型中,因变量是巴西各州在截止点前后的值之差。测试的预测变量是:社会孤立的百分比;使用互联网;mHDI;家庭人均收入与体育活动友好城市排名。结果在第一次分析中,各变量之间的差异为29.8%。GSRI解释了51.2%的搜索量变化,第二个模型解释了42%的结果变量变化。结论:“体育锻炼”相关词条的搜索量显著增加,这与隔离措施和巴西的社会经济条件有关。
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Factors Associated with Internet Searches for Exercise during the Covid-19 Pandemic in Brazil: an Infodemiological Study using Google Trends. (Preprint)
BACKGROUND The current Covid-19 pandemic has led several nations to adopt social distancing and isolation measures. Some studies have already used Google Trends as a data recovery tool on various topics, such as the increase in the search for chloroquine and derivatives after pronouncements by political authorities. A relevant issue to be discussed is the increase in physical inactivity with social distancing measures, which may increase the numbers of another pandemic: the sedentary lifestyle and its associated comorbidities. Other question is if the Google Trend can be an efficient instrumental of measure the interest of physical activity and exercise. OBJECTIVE Investigate changes in the online search patterns for exercise and the influence of social isolation and socioeconomic variables during the Covid-19 pandemic in Brazil. METHODS Google Trends was used to recover the search volume on the topic "Physical Exercise", in the category "fitness and beauty", during two periods: the five previous years and from January 1, 2020 to May 16, 2020. The cutoff date was March 12. After this cutoff, the actual search volume and the values predicted by exponential smoothing were compared using Student’s t test. Two linear regression models were created. In the first, the search volume for the second period was the outcome variable and the Government Response Stringency Index (GSRI) was the predictive variable. In the second model, the dependent variable was the difference between the values before and after the cutoff point, by Brazilian state. The predictive variables tested were: Percentage of Social Isolation; Access to the Internet; mHDI; Household Income per Capita and the Ranking of Physical-Activity-Friendly Cities. RESULTS There was a difference of 29.8% between the variables in the first analysis. GSRI explained 51.2% of the variation in search volume and the second model explained 42% of the changes in the outcome variable. CONCLUSIONS There was a significant increase in the search for terms related to the topic Physical Exercise and this search increase is associated with the isolation measures and the Brazilian socioeconomic conditions.
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来源期刊
Revista Cubana de Informacion en Ciencias de la Salud
Revista Cubana de Informacion en Ciencias de la Salud Social Sciences-Library and Information Sciences
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审稿时长
10 weeks
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