Mapping dengue risk in Singapore using Random Forest

2018103 citationsJournal Articlegold Open Access

Authors

Janet Ong · National Environment Agency

Xu Liu · National Environment Agency

Jayanthi Rajarethinam · National Environment Agency

Suet Yheng Kok · National Environment Agency

Shaohong Liang · National Environment Agency

Choon Siang Tang · National Environment Agency

Alex R. Cook ·

Abstract

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.

Topics & Keywords

Mosquito-borne diseases and control Malaria Research and Control Dengue and Mosquito Control Research

UN Sustainable Development Goals

Life in Land

Publication Details

Published in: PLoS neglected tropical diseases

Volume 12, Issue 6, pp. e0006587-e0006587

DOI: 10.1371/journal.pntd.0006587

Field-Weighted Citation Impact: 9.65