Variation in Global Policy Responses to COVID-19: A Bidirectional Analysis.
Ontology highlight
ABSTRACT: Against the unprecedented outbreaks of the COVID-19 variants, countries have introduced restrictive measures with discretion, ranging from lifting the closure thoroughly to implementing stringent policies, but all together guarding the global public health. Under the changing circumstances, we firstly apply the panel data vector autoregression (PVAR) model, using a sample of 176 countries/territories from 15 June 2021 to 15 April 2022, to estimate the potential associations among the policy responses, the progression of COVID-19 in deaths and vaccination, and medical resources possessed. Furthermore, we use the random effect method and the fixed effect speculation, to examine the determinants of policy variances across regions and over time. Our work has four main findings. Firstly, it sho
SUBMITTER: Wang C
PROVIDER: S-EPMC10001811 | biostudies-literature | 2023 Feb
REPOSITORIES: biostudies-literature
ACCESS DATA