Leptospirosis modelling using hydrometeorological indices and random forest machine learning

• Main Authors: Jayaramu, Veianthan, Zulkafli, Zed, De Stercke, Simon, Buytaert, Wouter, Rahmat, Fariq, Abdul Rahman, Ribhan Zafira, Ishak, Asnor Juraiza, Tahir, Wardah, Ab Rahman, Jamalludin, Mohd Fuzi, Nik Mohd Hafiz
• Format: Article
• Published: Springer Science and Business Media 2023
• Online Access: http://psasir.upm.edu.my/id/eprint/109550/; https://link.springer.com/article/10.1007/s00484-022-02422-y?error=cookies_not_supported&code=b68bc8b6-2a6c-44d6-9266-49d454508008

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...