The Impact of Vaccinations on COVID-19 Case Rates at the State Level
Document Type
Article
Publication Date
9-20-2021
Abstract
This study uses a stepwise regression model to measure the efficacy of vaccination in reducing COVID-19 case rates through 8/10/21. In order to hold other covariants constant, variables like density, poverty, and governmental stringency were also included in the regression tests. The statistical results rigorously show that higher vaccination rates led to significantly lower COVID-19 case rates at the state level. A simulation is presented that estimates the cumulative COVID-19 case rate had vaccinations not been available. With respect to the other variables tested, density was significant in positively affecting case rates in 2021 after not being significant in the last half of 2020. Poverty rates were significant during all periods tested in the study. Surprisingly, governmental stringency as measured by the Oxford Stringency Index was not found significant in reducing COVID-19 case rates in 2021. Finally, no significant evidence of herd immunity was found in 2021.
Recommended Citation
Doti, James L., The Impact of Vaccinations on COVID-19 Case Rates at the State Level (September 20, 2021). Available at SSRN: https://ssrn.com/abstract=3927364 or http://dx.doi.org/http://dx.doi.org/10.2139/ssrn.3927364
Comments
This scholarship is part of the Chapman University COVID-19 Archives.