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

• المؤلفون الرئيسيون: Lu, Xinyi, Teh, Su Yean, Tay, Chai Jian, Nur Faeza, Abu Kassim, Fam, Pei Shan, Soewono, Edy
• التنسيق: مقال
• اللغة: English
• منشور في: KeAi Communications Co. 2025
• الموضوعات: Q Science (General); QA Mathematics
• الوصول للمادة أونلاين: http://umpir.ump.edu.my/id/eprint/43811/1/Application%20of%20multiple%20linear%20regression%20model%20and%20long%20short-term%20memory.pdf; http://umpir.ump.edu.my/id/eprint/43811/; https://doi.org/10.1016/j.idm.2024.10.007; https://doi.org/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...