Abstract: A hierarchical linear model was established to associate the infection rate with the collected explicit factors, which were demonstrated to greatly influence the spreading of COVID-19 in previous studies, and the unobserved heterogeneity was also incorporated to better reflect the hierarchical structure. Two model-based metrics were proposed for assessing the state performance by adjusting the measurable county-level covariates and the unobservable state-specific variation. These metrics can give insight i… Show more
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