Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

Decoding State Vaccination Rates Using Intelligence Quotient, Income, and Political Affiliation

Version 1 : Received: 18 July 2021 / Approved: 21 July 2021 / Online: 21 July 2021 (09:04:25 CEST)
Version 2 : Received: 27 July 2021 / Approved: 27 July 2021 / Online: 27 July 2021 (13:47:59 CEST)

How to cite: Kabir, A.; Kabir, R.; Nahar, J.; Sengar, R. Decoding State Vaccination Rates Using Intelligence Quotient, Income, and Political Affiliation. Preprints 2021, 2021070472 (doi: 10.20944/preprints202107.0472.v2). Kabir, A.; Kabir, R.; Nahar, J.; Sengar, R. Decoding State Vaccination Rates Using Intelligence Quotient, Income, and Political Affiliation. Preprints 2021, 2021070472 (doi: 10.20944/preprints202107.0472.v2).

Abstract

The objective of the study was to evaluate the risk factors associated with lower COVID-19 vaccination rates in the United States. The study evaluated the effect of red-blue political affiliation, and the effect of the US state's average intelligence quotient (IQ) and per capita income on states vaccination rates. The study found that states with concomitantly lower income along with lower intelligence quotient (IQ) are less vaccinated while the states with higher income have higher vaccination rates even among those with lower intelligence quotients. These findings stayed significant after adjusting for red-blue political affiliation where states with red political affiliation have lower vaccination rates. Further study is needed to evaluate how to stop online misinformation among low-income low intelligence quotient states and whether such an effort will increase overall vaccination rates in the United States.

Keywords

Online misinformation; COVID-19 vaccination; fully vaccinated; Intelligence Quotient; per capita income

Comments (1)

Comment 1
Received: 27 July 2021
Commenter: Azad Kabir
Commenter's Conflict of Interests: Author
Comment: This second version of the study has incorporated red-blue political affiliation as a predictor for US state vaccination rates. After adding red-blue discrimination, the R square of the final model was found to be 0.70. The in addition to the political affiliation, the final model included the crossover interaction effect of intelligence quotient and per capita income. This is a significant improvement of the model. The paper is currently under review by the Journal of Intelligence. 
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