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

• Published in: Infectious disease modelling Vol. 10; no. 1; pp. 240 - 256
• Main Authors: Lu, Xinyi, Teh, Su Yean, Tay, Chai Jian, Abu Kassim, Nur Faeza, Fam, Pei Shan, Soewono, Edy
• Format: Journal Article
• Language: English
• Published: China Elsevier B.V 01.03.2025; KeAi Publishing; KeAi Communications Co., Ltd
• Subjects: Climate; Deep learning; Dengue; Regression; SIR; Deep learning; Regression; Climate; SIR; Dengue
• ISSN: 2468-0427; 2468-2152; 2468-0427
• DOI: 10.1016/j.idm.2024.10.007

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...