Application of multiple linear regression model and long short-term memory with compartmental model to forecast dengue cases in Selangor, Malaysia based on climate variables

Application of multiple linear regression model and long short-term memory with compartmental model to forecast dengue cases in Selangor, Malaysia based on climate variables

Despite the implementation of various initiatives, dengue remains a significant public health concern in Malaysia. Given that dengue has no specific treatment, dengue prediction remains a useful early warning mechanism for timely and effective deployment of public health preventative measures. This...

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Bibliographic Details
Main Authors: Xinyi Lu, Su Yean Teh, Chai Jian Tay, Nur Faeza Abu Kassim, Pei Shan Fam, Edy Soewono
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-03-01
Series:Infectious Disease Modelling
Subjects:
Dengue
Climate
SIR
Regression
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2468042724001222
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