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arXiv · 2502.16130

A Bayesian mixed-effects model to evaluate the determinants of COVID-19 vaccine uptake in the US

Asim K. Dey
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Abstract

The COVID-19 pandemic has adversely affected US public health, resulting in over a hundred million cases and more than one million deaths. Vaccination is the key intervention against the COVID-19 pandemic. Multiple COVID-19 vaccines are now available for human use. However, a number of factors, including socio-demographic variables, impact the uptake of COVID-19 vaccines. In this study, we apply a Bayesian mixed-effects model to assess different socio-demographic and spatial factors that influence the acceptance of COVID-19 vaccines in the US. The fitted mixed-effects model provides the probabilistic inference about the vaccine acceptance determinants with uncertainty quantification.

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Asim K. Dey. 2025-02-22. A Bayesian mixed-effects model to evaluate the determinants of COVID-19 vaccine uptake in the US. https://arxiv.org/abs/2502.16130

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