A data-driven analysis on the mediation effect of compartment models between control measures and COVID-19 epidemics.

ABSTRACT: By collecting various control policies taken by 127 countries/territories during the first wave of COVID-19 pandemic until July 2nd, 2020, we evaluate their impacts on the epidemic dynamics quantitatively through a combination of the multiple linear regression, neural-network-based nonlinear regression and sensitivity analysis. Remarkable differences in the public health policies are observed across these countries, which affect the spreading rate and infected population size to a great extent. Several key dynamical features, like the normalized cumulative numbers of confirmed/cured/death cases on the 100th day and the half time, show statistically significant linear correlations with the control measures, which thereby confirms their dramatic impacts. Most importantly, we perform the medi

SUBMITTER: Zhang D 

PROVIDER: S-EPMC11283110 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature