Predicting COVID-19 trends: a deep dive into time-dependent SIRSD with deep learning technique / Abdul Basit ... [et al.]

• Main Authors: Basit, Abdul, Mohamad Zain, Jasni, Jumaat, Abdul Kadir, Hamdan, Nur’Izzati, Mojahid, Hafiza Zoya
• Format: Article
• Language: English
• Published: Universiti Teknologi MARA Press (Penerbit UiTM) 2024
• Subjects: Machine learning; Communicable diseases and public health
• Online Access: https://ir.uitm.edu.my/id/eprint/105192/1/105192.pdf; https://ir.uitm.edu.my/id/eprint/105192/

The COVID-19 pandemic, also known as Coronavirus Disease 2019, has affected over 700 million people globally, resulting in approximately 7 million deaths. Research has proposed multiple mathematical models to institute a disease transmission framework and predict the disease growth. Most of the exis...