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Exploring COVID-19 vaccine hesitancy and uptake in Nairobi's urban informal settlements: an unsupervised machine learning analysis of a longitudinal prospective cohort study from 2021 to 2022.

Nandita RajshekharJessie PinchoffChristopher B BoyerEdwine BarasaTimothy AbuyaEva MuluveDaniel MwangaFaith MbushiKaren Austrian
Published in: BMJ open (2023)
Findings suggest this methodology can be a useful tool to characterise populations, with utility for improving targeted policy, programmes and behavioural messaging to promote uptake of healthy behaviours and ensure equitable distribution of prevention measures.
Keyphrases
  • machine learning
  • coronavirus disease
  • sars cov
  • public health
  • healthcare
  • artificial intelligence
  • big data
  • mental health
  • smoking cessation
  • cancer therapy
  • deep learning
  • drug delivery
  • respiratory syndrome coronavirus