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Improving dengue fever predictions in Taiwan based on feature selection and random forests.

Chao-Yang KuoWei-Wen YangEmily Chia-Yu Su
Published in: BMC infectious diseases (2024)
Our study is the first to demonstrate that AQI negatively affects dengue fever occurrence in Taiwan. The proposed prediction model can be used as an early warning system for public health to prevent dengue fever outbreaks.
Keyphrases
  • zika virus
  • aedes aegypti
  • dengue virus
  • public health
  • climate change
  • machine learning
  • deep learning
  • neural network
  • global health