New Metrics for Assessing the State Performance in Combating the COVID-19 Pandemic.

ABSTRACT: Previous research has noted that many factors greatly influence the spread of COVID-19. Contrary to explicit factors that are measurable, such as population density, number of medical staff, and the daily test rate, many factors are not directly observable, for instance, culture differences and attitudes toward the disease, which may introduce unobserved heterogeneity. Most contemporary COVID-19 related research has focused on modeling the relationship between explicitly measurable factors and the response variable of interest (such as the infection rate or the death rate). The infection rate is a commonly used metric for evaluating disease progression and a state's mitigation efforts. Because unobservable sources of heterogeneity cannot be measured directly, it is hard to incorporate them

SUBMITTER: Li Y 

PROVIDER: S-EPMC8437244 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature