Promoting Public Compliance through Information Disclosure: Effect of Disclosing Confirmed Cases’ Personal Information on Public Mobility During the COVID-19 Outbreak

Jiuchang Wei, Song Yang, Hemin Jiang
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Abstract

Governments often disclose pandemic-related information to reduce public mobility behavior during the initial outbreak stage of a pandemic like COVID-19. Previous studies have examined the effects of whether to disclose relevant information on public behavior but neglected the effects of information content. Based on the disclosed personal information of COVID-19 confirmed cases from 316 cities in China, we find that disclosing demographic information of confirmed cases does not affect public mobility, whereas disclosing their infection traceability information increases public mobility and trajectory range information decreases public mobility. We also find a U-shaped effect of information diversity on public mobility behavior.
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通过信息披露促进公众守法:COVID-19 爆发期间披露确诊病例个人信息对公众流动的影响
在像 COVID-19 这样的大流行病爆发初期,政府通常会公开与大流行病相关的信息,以减少公众的流动行为。以往的研究考察了是否公开相关信息对公众行为的影响,但忽视了信息内容的影响。基于中国 316 个城市的 COVID-19 确诊病例的个人信息披露,我们发现披露确诊病例的人口学信息不会影响公众的流动性,而披露其感染溯源信息会增加公众的流动性,轨迹范围信息则会降低公众的流动性。我们还发现,信息多样性对公众流动行为的影响呈 U 型。
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