Influenza Virus Vaccines Commons^™

Predictors Of Covid-19 Vaccination Rate In Usa: A Machine Learning Approach, Syed M. I. Osman, Ahmed Sabit

WCBT Faculty Publications

In this study, we examine state-level features and policies that are most important in achieving a threshold level vaccination rate to curve the effects of the COVID-19 pandemic. We employ CHAID, a decision tree algorithm, on three different model specifications to answer this question based on a dataset that includes all the states in the United States. Workplace travel emerges as the most important predictor; however, the governors’ political affiliation (PA) replaces it in a more conservative feature set that includes economic features and the growth rate of COVID-19 cases. We also employ several alternative algorithms as a robustness check. …

Vaccine Hesitancy In The Post-Covid-19 Era: An Interdisciplinary Approach For A Trust-And-Risk Paradigm With Governmental And Intergovernmental Implications, Laurent Cleenewerck De Kiev, Danny A. Schieffler

Healthcare Informatics Faculty Publications

Vaccine hesitancy was described as a major global health challenge by the World Health Organization before the outset of the COVID-19 pandemic (Ten Health Issues WHO Will Tackle This Year, 2019).

During the COVID-19 pandemic, the introduction of several new vaccines (notably Pfizer, Moderna, J&J) and with them new vaccine technologies (mRNA) under emergency use authorization (EUA), combined with the political context of these vaccines’ accelerated development, triggered a heightened level of vaccine hesitancy and refusal in the United States and around the world (FDA, 2021).

This paper study undertakes to investigate the foundations and recent evolution of this phenomenon …