Exploring the Spatial Relationship Between Severe Depression, COVID-19 Cases, and Vaccination Rates in US Counties: A Longitudinal Analysis

This dataset contains county-level information for U.S. counties from 2020 to 2022, aiming to explore the potential relationship between COVID-19 vaccination coverage and the prevalence of severe depression. It integrates multiple data sources, including public health statistics, socioeconomic indicators, environmental variables, and demographic characteristics. The dataset is structured to support spatial, temporal, and statistical analysis.Key Variables Include:Mental Health: Severe depression rates per 100,000 population for 2021 and 2022COVID-19 Metrics: Case rates per 100,000 (2021, 2022), and vaccination rates (2-dose complete, 5+ population)Socioeconomic Data: Unemployment rates, median household income, percent of adults with bachelor's degree or higherEnvironmental Factors: Average daily sunlight (KJ/m²), cooling degree daysDemographics: Population size, gender distribution, age distribution, urbanization rateHealth Behavior Indicators: Rates of smoking, obesity, physical inactivity, and excessive drinkingLog-transformed versions of several variables are also included to support regression modeling and machine learning tasks.Purpose:The dataset is curated for research that investigates the interplay between COVID-19 vaccination campaigns and mental health outcomes, with potential applications in spatial epidemiology, public health policy, and social determinants of health research.Temporal Coverage: 2020–2022Geographic Scope: U.S. counties (N ≈ 3,000+)Data Format: XlsxSuggested Citation: Wencong Cui, Yuqing Wang, "COVID-19 Vaccination and Depression: U.S. County-Level Dataset (2020–2022)", Figshare, 2025. DOI: 10.6084/m9.figshare.29451644