Leptospirosis modelling using hydrometeorological indices and random forest machine learning

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Leptospirosis modelling using hydrometeorological indices and random forest machine learning

Leptospirosis is a zoonosis that has been linked to hydrometeorological variability. Hydrometeorological averages and extremes have been used before as drivers in the statistical prediction of disease. However, their importance and predictive capacity are still little known. In this study, the use o...

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Bibliographic Details
Published in:	International Journal of Biometeorology
Main Author:	Jayaramu V.; Zulkafli Z.; De Stercke S.; Buytaert W.; Rahmat F.; Abdul Rahman R.Z.; Ishak A.J.; Tahir W.; Ab Rahman J.; Mohd Fuzi N.M.H.
Format:	Article
Language:	English
Published:	Springer Science and Business Media Deutschland GmbH 2023
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147099122&doi=10.1007%2fs00484-022-02422-y&partnerID=40&md5=45d6a53b17ce1fe5ee7b4af6a73117ce

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