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 language | English |
|---|---|
| Article number | 1178864 |
| Journal | Frontiers in Microbiology |
| Volume | 14 |
| DOIs |
|
| Publication status | Published - 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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Dive into the research topics of '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)'. Together they form a unique fingerprint.Cite this
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