Seasonal and Meteorological Drivers of Hand, Foot, and Mouth Disease Outbreaks Using Data-Driven Machine Learning Models

Seasonal and Meteorological Drivers of Hand, Foot, and Mouth Disease Outbreaks Using Data-Driven Machine Learning Models

Hand, Foot, and Mouth Disease (HFMD) predominantly affects children under the age of five and remains a significant public health concern in the Asia-Pacific region. HFMD outbreaks are closely linked to seasonal changes and meteorological factors, particularly in tropical and subtropical areas. In T...

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Bibliographic Details
Main Authors: Pakorn Lonlab, Suparinthon Anupong, Chalita Jainonthee, Sudarat Chadsuthi
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Tropical Medicine and Infectious Disease
Subjects:
hand
foot
and mouth disease
outbreak detection
meteorological factors
machine learning
Online Access:https://www.mdpi.com/2414-6366/10/2/48
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