Mapping dengue risk in Singapore using Random Forest.

Janet OngXu LiuJayanthi RajarethinamSuet Yheng KokShaohong LiangChoon Siang TangAlex R CookLee Ching NgGrace Yap

Published in: PLoS neglected tropical diseases (2018)

This study demonstrates the potential of Random Forest and its strong predictive capability in stratifying the spatial risk of dengue transmission in Singapore. Dengue risk map produced using Random Forest has high accuracy, and is a good surveillance tool to guide vector control operations.

Keyphrases

zika virus
climate change
dengue virus
aedes aegypti
public health
high resolution
high density
human health
neural network
mass spectrometry
risk assessment