CORRECTION article

Front. Microbiol., 16 March 2023

Sec. Infectious Agents and Disease

Volume 14 - 2023 | https://doi.org/10.3389/fmicb.2023.1178864

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

  • 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

Article metrics

View details

1

Citations

952

Views

380

Downloads

In the published article, there was an error in the Funding statement. “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 (MOST108-2638-H-002-002-MY2).” The correct Funding statement appears below.

Statements

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).

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Summary

Keywords

Plasmodium knowlesi , Peninsular Malaysia, ecological niche modeling, XGBoost, ensemble modeling, maximum entropy

Citation

Phang WK, Hamid MHbA, Jelip J, Mudin RNb, Chuang T-W, Lau YL and Fong MY (2023) Corrigendum: Predicting Plasmodium knowlesi transmission risk across Peninsular Malaysia using machine learning-based ecological niche modeling approaches. Front. Microbiol. 14:1178864. doi: 10.3389/fmicb.2023.1178864

Received

03 March 2023

Accepted

06 March 2023

Published

16 March 2023

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

14 - 2023

Updates

Copyright

*Correspondence: Ting-Wu Chuang

This article was submitted to Infectious Agents and Disease, a section of the journal Frontiers in Microbiology

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Outline

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics