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Using hierarchical clustering analysis to evaluate COVID-19 pandemic preparedness and performance in 180 countries in 2020.

Banafsheh SadeghiRex C Y CheungMeagan Hanbury
Published in: BMJ open (2021)
COVID-19 fatality can be a good proxy for countries' resources and system's resilience in managing the pandemic. These findings suggest that countries' economic and sociopolitical factors may behave in a more complex way as were believed. To explore these complex epidemiological associations, models can benefit enormously by taking advantage of methods developed in computer science and machine learning.
Keyphrases
  • coronavirus disease
  • sars cov
  • machine learning
  • public health
  • climate change
  • deep learning
  • single cell
  • artificial intelligence
  • social support
  • rna seq
  • infectious diseases
  • life cycle