Uncovering Regional Disparities in COVID-19 Vaccination and Public Health Outcomes: A Data-Driven Analysis Across U.S. Counties
Year: 2025
Type: article
Abstract: The COVID-19 pandemic has highlighted the importance of data-driven approaches to public health decision-making. This study examines patterns in vaccination rates, COVID-19 case trends, hospitalization data, and public health policy effectiveness across U.S. counties using publicly available datasets. By identifying correlations between vaccine uptake and reductions in transmission rates, the analysis reveals significant disparities in vaccination effectiveness across regions. Counties with higher vaccine adoption consistently experienced lower case rates and reduced community risk levels, while weaker correlations suggested the influence of additional factors such as public compliance and policy consistency. The findings emphasize the critical role of sustained vaccination campaigns and targeted public health policies in mitigating pandemic impacts. This research provides actionable insights for policymakers and public health officials to design more effective interventions and improve preparedness for future healthcare challenges.
Author: Dharmitha Ajerla
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410928852