Predicting Plasmodium knowlesi transmission risk across Peninsular Malaysia using machine learning-based ecological niche modeling approaches

Predicting Plasmodium knowlesi transmission risk across Peninsular Malaysia using machine learning-based ecological niche modeling approaches

The emergence of potentially life-threatening zoonotic malaria caused by Plasmodium knowlesi nearly two decades ago has continued to challenge Malaysia healthcare. With a total of 376 P. knowlesi infections notified in 2008, the number increased to 2,609 cases in 2020 nationwide. Numerous studies ha...

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Bibliographic Details
Main Authors: Wei Kit Phang, Mohd Hafizi bin Abdul Hamid, Jenarun Jelip, Rose Nani binti Mudin, Ting-Wu Chuang, Yee Ling Lau, Mun Yik Fong
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Microbiology
Subjects:
Plasmodium knowlesi
Peninsular Malaysia
ecological niche modeling
XGBoost
ensemble modeling
maximum entropy
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2023.1126418/full

Internet

https://www.frontiersin.org/articles/10.3389/fmicb.2023.1126418/full

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