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解开与COVID-19相关信息的习惯:日本的一个小组数据研究
1Graduate School of Economics, Osaka Metropolitan University, Sakai, Osaka, Japan.
PloS one
|July 30, 2024
概括
日本公民最初由于COVID-19减少了移动能力,但随着时间的推移,他们习惯了感染信息. 根据感染波和类型,流动性反应有所不同,灵活的政策有助于流行病管理.
科学领域:
- 流行病学 流行病学
- 行为经济学是一种行为经济学.
- 公共卫生政策 公共卫生政策
背景情况:
- 了解公众对卫生危机的反应对于有效的流行病管理至关重要.
- 习惯于信息,特别是关于传染病的信息,可以随着时间的推移改变公众的行为.
- 人类流动模式是公众对健康信息和政策的反应的关键指标.
研究的目的:
- 在日本近三年来,分析人类移动性对COVID-19信息的习惯性.
- 调查COVID-19病例数,紧急状态 (DSE) 声明和疫苗接种对人类流动性的差异影响.
- 探索信息的空间溢出效应及其对移动模式的影响.
主要方法:
- 利用了来自日本47个县的公开数据.
- 采用一种交互效应模型,一种面板数据回归,来分析人类的流动性.
- 整合了一个空间权重矩阵来评估信息的空间溢出效应.
主要成果:
- 最初的COVID-19浪潮出现了显著的流动性减少 (每1%的病例增加减少1.09个百分点).
- 习惯导致后续波 (0.71pp和0.29pp) 的移动性反应下降.
- 新变种 (第四波) 显示习惯性减少 (0.50个百分点下降),而 DSE 和疫苗接种有不同的流动性影响. 对感染信息观察到空间溢出效应,但对DSE或疫苗接种没有.
结论:
- 随着时间的推移,公众习惯于COVID-19信息显著改变了人类的移动模式.
- 灵活的,数据驱动的流动性控制政策对于平衡感染抑制和经济活动至关重要.
- 研究结果为未来流行病期间基于证据的政策制定提供了洞察力.
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