WSEAS Transactions on Environment and Development
Print ISSN: 1790-5079, E-ISSN: 2224-3496
Volume 17, 2021
Predicting the Total number of COVID-19 Deaths by County for the State of Florida: Ridge Regression Approach
Authors: ,
Abstract: Coronavirus disease 2019 (COVID-19) is a novel infectious disease that was detected in Wuhan, China at the end of 2019. The virus quickly spread worldwide and caused a global pandemic. This paper investigates if there are any regressors that could help impact the number of deaths due to COVID-19. The variables that were used in the models were total deaths, hospitalizations, total cases, population, minimum temperature, average temperature, maximum temperature, precipitation, mobility index, median age, adults age 65 or older, PM2.5 average, ozone average, and positive non-residents. After fitting six different regression models, we found that the most significant regressors were hospitalizations per county, total cases per county, population per county, median age per county, positive adults 65 or older per county, and positive non-residents per county. The COVID-19 data of this paper will be an excellent source for illustrating the multicollinear linear regression models.
Search Articles
Keywords: Cross Validation, Linear Regression Model, MAPE, Multicollinearity, OLS, Ridge Regression, RMSE
Pages: 1299-1310
DOI: 10.37394/232015.2021.17.119