Exploring the Temporal Dynamics of County-Level Vulnerability Factors on COVID-19 Outcomes

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Abstract

As the outbreak of COVID-19 has become a severe worldwide pandemic, every country fights against the spread of this deadly disease with incredible efforts. There are numerous researches along with every conceivable dimension for COVID-19. Among these researches, different demographic and contextual factors of populations and communities also play an essential role in providing more information for decision-makers. This paper mainly utilizes existing data on county contextual factors at the United States county-level to develop a model that can capture the dynamic trajectory of COVID-19 (i.e., cases) and its impacts across the United States. Moreover, our methods applied to contextual data achieves better results compared with existing measures of vulnerability.

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