The impact of the government response on pandemic control in the long run — A dynamic empirical analysis based on COVID-19
Article
Article Title | The impact of the government response on pandemic control in the long run — A dynamic empirical analysis based on COVID-19 |
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ERA Journal ID | 39745 |
Article Category | Article |
Authors | Zhou, Yuxun (Author), Rahman, Mohammad Mafizur (Author) and Khanam, Rasheda (Author) |
Journal Title | PLoS One |
Journal Citation | 17 (5) |
Article Number | e0267232 |
Number of Pages | 21 |
Year | 2022 |
Publisher | Public Library of Science (PLoS) |
Place of Publication | United States |
ISSN | 1932-6203 |
Digital Object Identifier (DOI) | https://doi.org/10.1371/journal.pone.0267232 |
Web Address (URL) | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0267232 |
Abstract | Purpose: Although the outbreak of Corona Virus Disease 2019 (COVID-19) occurred on a global scale, governments from different countries adopted different policies and achieved different anti-epidemic effects. The purpose of this study is to investigate whether and how the government response would affect the transmission scale of COVID-19 on the dynamic perspective. Methodology: This paper uses an dynamic generalized moment method to research relationship between the government response and COVID-19 case fatality rate by using panel data from the eight countries, including China, United States, Canada, Australia, Italy, France, Japan, and South Korea. Findings: We have the following findings: 1. Government responses have a significant impact on the scale of COVID-19 transmission. 2. The rate of increase of government responses on the growth rate of COVID-19 case fatality rate has the characteristics of cyclicity and repeatability, that is, with the increase in the growth rate of government responses, the COVID-19 case fatality rate shows the following cyclical motion law: increasing first, reaching the maximum point, and then declining, and finally reaching the minimum point and then rising; ultimately, its convergence becomes 0. The cyclical fluctuations of COVID-19 in the long term may be caused by the decline in the level of government response, the mutation of the virus, and the violation of restrictive policies by some citizens. 3. The government response has a lag in controlling the spread of COVID-19. Originality/value: Since there is a lack of literature on the impact of government responses on the development of COVID-19 from a long-term and dynamic perspective. This paper fills this gap in empirical research. We provide and expand new empirical evidence based on the current literature. This paper provides the basis for government decision-making and will help to formulate the response to other major public health events that may occur in the future. |
Keywords | COVID-19; Dynamic GMM; Empirical; Government response |
Related Output | |
Is part of | Emergency public health management: a game theoretic analysis |
ANZSRC Field of Research 2020 | 380108. Health economics |
Public Notes | This article is part of a UniSQ Thesis by publication. See Related Output. |
Byline Affiliations | School of Business |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q7493/the-impact-of-the-government-response-on-pandemic-control-in-the-long-run-a-dynamic-empirical-analysis-based-on-covid-19
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