Predictive Modeling of Vaccination Uptake in US Counties: A Machine Learning-Based Approach.

ABSTRACT:

Background

Although the COVID-19 pandemic has left an unprecedented impact worldwide, countries such as the United States have reported the most substantial incidence of COVID-19 cases worldwide. Within the United States, various sociodemographic factors have played a role in the creation of regional disparities. Regional disparities have resulted in the unequal spread of disease between US counties, underscoring the need for efficient and accurate predictive modeling strategies to inform public health officials and reduce the burden on health care systems. Furthermore, despite the widespread accessibility of COVID-19 vaccines across the United States, vaccination rates have become stagnant, necessitating predictive modeling to identify important factors impacting vaccination uptak

SUBMITTER: Cheong Q 

PROVIDER: S-EPMC8623305 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature