Identifying influential factors using machine learning techniques on the intention to receive a COVID-19 booster dose and vaccine fatigue among partially vaccinated individuals

Identifying influential factors using machine learning techniques on the intention to receive a COVID-19 booster dose and vaccine fatigue among partially vaccinated individuals

Abstract This study assesses COVID-19 booster intentions and hesitancy in Texas, a state known for its diversity and libertarian values. A survey was conducted with 274 participants residing in Texas between June and July 2022. The analysis examined sociodemographic and health-related factors, trust...

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Bibliographic Details
Main Authors: Athina Bikaki, Justin M. Luningham, Erika L. Thompson, Brittany Krenek, Jamboor K. Vishwanatha, Ioannis A. Kakadiaris
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Discover Public Health
Subjects:
COVID-19
Vaccination
Vaccine booster
Vaccine hesitancy
Pandemic fatigue
Feature selection
Online Access:https://doi.org/10.1186/s12982-024-00276-w
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https://doi.org/10.1186/s12982-024-00276-w

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