Leptospirosis modelling using hydrometeorological indices and random forest machine learning for humid tropical north-east Peninsular Malaysia
Leptospirosis is a zoonotic tropical disease caused by pathogenic Leptospira sp. whose transmission has been linked to extreme hydrometeorological phenomena. Hydrometeorological variability in the form of averages and extremes indices have been used before as drivers in statistical prediction of...
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フォーマット: | 学位論文 |
言語: | English |
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2022
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オンライン・アクセス: | http://psasir.upm.edu.my/id/eprint/115737/1/115737.pdf http://psasir.upm.edu.my/id/eprint/115737/ http://ethesis.upm.edu.my/id/eprint/18246 |
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