"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" by Holly Richmond

Article

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

International Journal of Environmental Research and Public Health (2020)

Holly Richmond
Joana Tome, Georgia Southern University
Haresh Rochani, Georgia Southern University
Isaac Chun-Hai Fung, Georgia Southern University
Gulzar Shah, Georgia Southern University
Jessica Smith Schwind, Georgia Southern University

Link

Disciplines

Publication Date

Fall October 29, 2020

Citation Information

Holly Richmond, Joana Tome, Haresh Rochani, Isaac Chun-Hai Fung, et al.. "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" International Journal of Environmental Research and Public Health Vol. 17 Iss. 21 (2020)
Available at: http://works.bepress.com/hareshrochani/86/