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

Wei Kit Phang; Mohd Hafizi Bin Abdul Hamid; Jenarun Jelip; Rose Nani Binti Mudin; Ting-Wu Chuang; Yee Ling Lau; Mun Yik Fong

doi:10.3389/fmicb.2023.1178864

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

Front Microbiol. 2023 Mar 16:14:1178864. doi: 10.3389/fmicb.2023.1178864. eCollection 2023.

Authors

Wei Kit Phang¹, Mohd Hafizi Bin Abdul Hamid², Jenarun Jelip², Rose Nani Binti Mudin³, Ting-Wu Chuang⁴, Yee Ling Lau¹, Mun Yik Fong¹

Affiliations

¹ Department of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
² Disease Control Division, Ministry of Health Malaysia, Putrajaya, Malaysia.
³ Sabah State Health Department, Ministry of Health Malaysia, Kota Kinabalu, Sabah, Malaysia.
⁴ Department of Molecular Parasitology and Tropical Diseases, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.

Abstract

[This corrects the article DOI: 10.3389/fmicb.2023.1126418.].

Keywords: Peninsular Malaysia; Plasmodium knowlesi; XGBoost; ecological niche modeling; ensemble modeling; maximum entropy.

Publication types

Published Erratum

Grants and funding

This study was supported by the Ministry of Higher Education, Malaysia Long Term Research Grant Scheme (LRGS/1/2018/UM/01/1/1) and the Ministry of Science and Technology, Taiwan (MOST110-2621-M-038-001-MY2).