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Analysis of Policies Based on the Multi-Fuzzy Regression Discontinuity, in Terms of the Number of Deaths in the Coronavirus Epidemic

School of Economics and Management, Beijing Forestry University, Beijing 100083, China
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Academic Editor: Daniele Giansanti
Healthcare 2021, 9(2), 116; https://doi.org/10.3390/healthcare9020116
Received: 23 December 2020 / Revised: 9 January 2021 / Accepted: 14 January 2021 / Published: 22 January 2021
It has been a year since the outbreak of the coronavirus epidemic 2019 (COVID-19). In the face of the global epidemic, governments in all countries have taken different prevention measures, such as social isolation, mandatory health protection, and the closure of schools and workplaces. The situation of the epidemic has clearly varied from country to country. In this context, research on the impact of policies for the control of the spread of the global epidemic is of great significance. In this paper, we examined data from a sample of 212 countries between 31 December 2019, and 21 May 2020, using multi-fuzzy regression discontinuity. We found that developed countries had relatively low sensitivity to the policy stringency index; however, policy control measures had a significant effect on epidemic control. In addition, the trend analysis showed that the corresponding management and control came into play only after the policy stringency index reached 50 or the policy management reached level II, and the robustness was optimal at this time. Therefore, the governments in all countries should realize that epidemic prevention and control are of great importance. They can strengthen policy stringency to control the spread of the epidemic, considering their national conditions in terms of the economy and health system. View Full-Text
Keywords: coronavirus (COVID-19); policy stringency; regression discontinuity coronavirus (COVID-19); policy stringency; regression discontinuity
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MDPI and ACS Style

Wang, X.; Chen, C.; Du, Y.; Zhang, Y.; Wu, C. Analysis of Policies Based on the Multi-Fuzzy Regression Discontinuity, in Terms of the Number of Deaths in the Coronavirus Epidemic. Healthcare 2021, 9, 116. https://doi.org/10.3390/healthcare9020116

AMA Style

Wang X, Chen C, Du Y, Zhang Y, Wu C. Analysis of Policies Based on the Multi-Fuzzy Regression Discontinuity, in Terms of the Number of Deaths in the Coronavirus Epidemic. Healthcare. 2021; 9(2):116. https://doi.org/10.3390/healthcare9020116

Chicago/Turabian Style

Wang, Xianghui; Chen, Chang; Du, Yan; Zhang, Yang; Wu, Chengliang. 2021. "Analysis of Policies Based on the Multi-Fuzzy Regression Discontinuity, in Terms of the Number of Deaths in the Coronavirus Epidemic" Healthcare 9, no. 2: 116. https://doi.org/10.3390/healthcare9020116

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