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谷歌趋势对智利新冠肺炎疫情动态隔离措施的幸福感衡量指标存在异质性反应。

Heterogeneous responses in Google Trends measures of well-being to the COVID-19 dynamic quarantines in Chile.

机构信息

Departamento de Ingeniería Comercial, Universidad Técnica Federico Santa María, Santiago, Chile.

School of Business and Economics, Universidad Diego Portales, Santiago, Chile.

出版信息

Sci Rep. 2022 Aug 25;12(1):14514. doi: 10.1038/s41598-022-18514-z.

DOI:10.1038/s41598-022-18514-z
PMID:36008441
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9403981/
Abstract

We study how the Chilean population's well-being responded to the strategy implemented by their health authorities, known as Dynamic Quarantine, to contain the spread of coronavirus in which municipalities periodically entered and exited lockdowns. This unique scheme, together with the population's socioeconomic heterogeneity, facilitates the estimation of changes in this well-being as differentiated by socioeconomic status. Using Google Trends to compute measures of well-being, we find strong evidence that socioeconomic status induces heterogeneity in these changes; thus, neglecting this heterogeneity may lead to misleading prescriptions for the public policy that addresses the psychological effects of lockdowns.

摘要

我们研究了智利民众的福祉如何对其卫生当局实施的动态隔离策略做出反应,该策略旨在控制冠状病毒的传播,在此期间,各城市定期进入和退出封锁状态。这种独特的方案,加上人口的社会经济异质性,便于根据社会经济地位来估计这种幸福感的变化。我们使用谷歌趋势来计算幸福感的衡量标准,发现强有力的证据表明,社会经济地位会导致这些变化产生异质性;因此,忽视这种异质性可能会导致针对解决封锁对心理健康影响的公共政策产生误导性建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78e6/9411208/fa646dd9028c/41598_2022_18514_Fig2a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78e6/9411208/f745a77a78a5/41598_2022_18514_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78e6/9411208/fa646dd9028c/41598_2022_18514_Fig2a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78e6/9411208/f745a77a78a5/41598_2022_18514_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78e6/9411208/fa646dd9028c/41598_2022_18514_Fig2a_HTML.jpg

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The effects of mandatory home quarantine on mental health in a community sample during the COVID-19 pandemic.强制性居家隔离对 COVID-19 大流行期间社区样本心理健康的影响。
Nord J Psychiatry. 2023 Jan;77(1):65-72. doi: 10.1080/08039488.2022.2061047. Epub 2022 Apr 12.
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Utilizing Big Data From Google Trends to Map Population Depression in the United States: Exploratory Infodemiology Study.利用谷歌趋势的大数据绘制美国人群抑郁症地图:探索性信息流行病学研究。
JMIR Ment Health. 2022 Mar 31;9(3):e35253. doi: 10.2196/35253.
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Social sentiment segregation: Evidence from Twitter and Google Trends in Chile during the COVID-19 dynamic quarantine strategy.社会情绪隔离:来自智利 COVID-19 动态隔离策略期间的 Twitter 和 Google Trends 的证据。
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