Department of Statistics, Feng Chia University, Taichung, Taiwan.
Department of Statistics, Seoul National University, Seoul, South Korea.
Int J Infect Dis. 2021 Jan;102:327-331. doi: 10.1016/j.ijid.2020.10.050. Epub 2020 Oct 25.
This research scrutinizes the important factors influencing the satisfaction of citizens concerning their governments' responses to the COVID-19 pandemic based on an open-sourced survey of 14 countries.
To collect information on public sentiment regarding governments' reactions to COVID-19, we consider five factors for analysis: number of confirmed cases per million population, number of deaths per million population, and governments' containment and health policies, stringency policies, and economic support policies. We examine the Kendall correlations of variables in the 14 countries and use the wild bootstrap method for regression models to find important regressors.
Our results show that people pay stronger attention to the results of their governments' battle against COVID-19 (number of confirmed cases and deaths per million population) rather than to what policies they initiate. Health policy and economic support do influence the approval of any national response to COVID-19. We also find that public satisfaction in Japan and South Korea toward the two governments' responses to the pandemic varies greatly compared to that of other countries' citizens to their governments' responses.
The results herein offer some suggestions to governments when initiating policies to balance public health, livelihoods, and economic support.
本研究基于对 14 个国家的开源调查，审视了影响公民对政府应对 COVID-19 大流行满意度的重要因素。
为了收集公众对政府应对 COVID-19 反应的情绪信息，我们考虑了五个分析因素：每百万人口的确诊病例数、每百万人口的死亡人数，以及政府的遏制和卫生政策、严格政策和经济支持政策。我们检验了 14 个国家的变量的肯德尔相关性，并使用野 bootstrap 方法对回归模型进行了重要回归量的回归。
我们的结果表明，人们更关注政府对抗 COVID-19 的结果（每百万人口的确诊病例和死亡人数），而不是他们发起的政策。卫生政策和经济支持确实影响了对任何国家对 COVID-19 的应对措施的认可。我们还发现，日本和韩国民众对两国政府应对大流行的反应的满意度与其他国家民众对政府应对措施的满意度有很大差异。
本研究结果为政府在制定平衡公共卫生、生计和经济支持的政策时提供了一些建议。
