MESSAI.iO

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This paper uses machine learning to identify predictors of COVID-19 vaccination rates in the USA, analyzing various demographic and socioeconomic factors.

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Abstract

Key findings

  • Demographic factors such as age, sex, and ethnicity were found to be significant predictors of vaccination rates.
  • Socioeconomic factors like income, education level, and healthcare access also played a crucial role in determining vaccination rates.
  • Machine learning models outperformed traditional statistical models in predicting vaccination rates, indicating the potential of ML in public health decision-making.

Keywords

Coronavirus disease 2019 (COVID-19)CHAIDPandemicRobustness (evolution)Artificial intelligenceDecision tree

Identifiers

DOI
10.1016/j.mlwa.2022.100408
Journal
Machine Learning with Applications
Year
2022