Forecasting upper respiratory tract infection burden using high-dimensional time series data and forecast combinations

• المؤلفون الرئيسيون: Lim, Jue Tao, Tan, Kelvin Bryan, Abisheganaden, John, Dickens, Borame L.
• مؤلفون آخرون: Lee Kong Chian School of Medicine (LKCMedicine)
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Science::Medicine; Respiratory Tract Infection; Time Series Analysis
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/168848
• المؤسسة: Nanyang Technological University

Upper respiratory tract infections (URTIs) represent a large strain on primary health resources. To mitigate URTI transmission and public health burdens, it is important to pre-empt and provide forward guidance on URTI burden, while taking into account various facets which influence URTI transmissio...