Uncovering Regional Disparities in COVID-19 Vaccination and Public Health Outcomes: A Data-Driven Analysis Across U.S. Counties

Author(s)	Dharmitha Ajerla
Country	United States
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.
Field	Engineering
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-05-31
DOI	https://doi.org/10.36948/ijfmr.2025.v07i03.46946
Short DOI	https://doi.org/g9mvxh

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International Journal For Multidisciplinary Research