Predicting dengue transmission rates by comparing different machine learning models with vector indices and meteorological data

Machine learning algorithms (ML) are receiving a lot of attention in the development of predictive models for monitoring dengue transmission rates. Previous work has focused only on specific weather variables and algorithms, and there is still a need for a model that uses more variables and algorith...

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Bibliographic Details

Main Authors:	Ong, Song Quan, Pradeep Isawasan, Ahmad Mohiddin Mohd Ngesom, Hanipah Shahar, As’malia Md Lasim, Gomesh Nair
Format:	Article
Language:	en en
Published:	Springer Nature 2023
Subjects:	QR355-502 Virology RC109-216 Infectious and parasitic diseases
Online Access:	https://eprints.ums.edu.my/id/eprint/38089/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/38089/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/38089/ https://doi.org/10.1038/s41598-023-46342-2
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