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Facilitating fine-grained intra-urban dengue forecasting by integrating urban environments measured from street-view images.

Kang LiuLing YinMeng ZhangMin KangAi-Ping DengQing-Lan LiTie Song
Published in: Infectious diseases of poverty (2021)
Incorporating local environments measured from street view images is effective in facilitating fine-grained intra-urban dengue forecasting, which is beneficial for conducting spatially precise dengue prevention and control.
Keyphrases
  • zika virus
  • aedes aegypti
  • dengue virus
  • deep learning
  • molecular dynamics
  • air pollution
  • convolutional neural network
  • optical coherence tomography