Mapping dengue risk in Singapore using Random Forest
Background Singapore experiences endemic dengue, with 2013 being the largest outbreak year known to date, culminating in 22,170 cases. Given the limited resources available, and that vector control is the key approach for prevention in Singapore, it is important that public health professionals know...
Main Authors: | Ong, Janet, Liu, Xu, Rajarethinam, Jayanthi, Kok, Suet Yheng, Liang, Shaohong, Tang, Choon Siang, Cook, Alex R., Ng, Lee Ching, Yap, Grace |
---|---|
Other Authors: | Althouse, Benjamin |
Format: | Journal Article |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/86281 http://hdl.handle.net/10220/45235 |
Similar Items
-
Construction sites as an important driver of dengue transmission: implications for disease control
by: Tang, Choon-Siang, et al.
Published: (2019) -
A novel entomological index, Aedes aegypti Breeding Percentage, reveals the geographical spread of the dengue vector in Singapore and serves as a spatial risk indicator for dengue
by: Ong, Janet, et al.
Published: (2019) -
An ensemble of decision trees with random vector functional link networks for multi-class classification
by: Katuwal, Rakesh, et al.
Published: (2020) -
Spatio-temporal analysis of the main dengue vector populations in Singapore
by: Sun, Haoyang, et al.
Published: (2021) -
Dengue in Singapore from 2004 to 2016 : cyclical epidemic patterns dominated by serotypes 1 and 2
by: Rajarethinam, Jayanthi, et al.
Published: (2018)