Corrigendum: Predicting Plasmodium knowlesi transmission risk across Peninsular Malaysia using machine learning-based ecological niche modeling approaches (Frontiers in Microbiology, (2023), 14, (1126418), 10.3389/fmicb.2023.1126418)

Wei Kit Phang, Mohd Hafizi bin Abdul Hamid, Jenarun Jelip, Rose Nani binti Mudin, Ting Wu Chuang, Yee Ling Lau, Mun Yik Fong

Research output: Contribution to journalComment/debatepeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Article number1178864
JournalFrontiers in Microbiology
Volume14
DOIs
Publication statusPublished - 2023

Keywords

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

ASJC Scopus subject areas

  • Microbiology
  • Microbiology (medical)

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