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

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...

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Bibliographic Details
Main Authors: Yun Li, Megan Rice, Moming Li, Chengan Du, Xin Xin, Zifu Wang, Xun Shi, Chaowei Yang
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-09-01
Series:GeoHealth
Subjects:
COVID‐19
hierarchical linear models
infection rate
performance evaluation
random effects
Online Access:https://doi.org/10.1029/2021GH000450

Internet

https://doi.org/10.1029/2021GH000450

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