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The Use Of Penalized Regression Analysis To Identify County-Level Demographic And Socioeconomic Variables Predictive Of Increased Covid-19 Cumulative Case Rates In The State Of Georgia, Holly L. Richmond, Joana Tome, Haresh Rochani, Isaac Chun-Hai Fung, Gulzar H. Shah, Jessica S. Schwind
The Use Of Penalized Regression Analysis To Identify County-Level Demographic And Socioeconomic Variables Predictive Of Increased Covid-19 Cumulative Case Rates In The State Of Georgia, Holly L. Richmond, Joana Tome, Haresh Rochani, Isaac Chun-Hai Fung, Gulzar H. Shah, Jessica S. Schwind
Department of Biostatistics, Epidemiology, and Environmental Health Sciences Faculty Publications
Systemic inequity concerning the social determinants of health has been known to affect morbidity and mortality for decades. Significant attention has focused on the individual-level demographic and co-morbid factors associated with rates and mortality of COVID-19. However, less attention has been given to the county-level social determinants of health that are the main drivers of health inequities. To identify the degree to which social determinants of health predict COVID-19 cumulative case rates at the county-level in Georgia, we performed a sequential, cross-sectional ecologic analysis using a diverse set of socioeconomic and demographic variables. Lasso regression was used to identify variables …
Excess Mortality From Covid-19: A Commentary On The Italian Experience, Paolo Pasquariello, Saverio Stranges
Excess Mortality From Covid-19: A Commentary On The Italian Experience, Paolo Pasquariello, Saverio Stranges
Epidemiology and Biostatistics Publications
No abstract provided.
Act Scores Across Minnesota's Congressional Districts, Katie Moynihan
Act Scores Across Minnesota's Congressional Districts, Katie Moynihan
Research and Scholarship Symposium Posters
Data analysis was conducted to test factors which could affect the ACT scores of Minnesota high school students. Average composite scores across the state’s eight congressional districts were evaluated. Factors studied include family income, parental education, diversity, district location, graduation class size, and graduation rate. Methodology and results will be discussed.