Benchmarking Disease Modeling Techniques on the Philippines’ COVID-19 Dataset

• المؤلفون الرئيسيون: Pulmano, Christian, Fernandez, Proceso L, Jr
• التنسيق: text
• منشور في: Archīum Ateneo 2023
• الموضوعات: Mathematical Modeling; Parameter Estimation; ARIMA; COVID-19; Artificial Intelligence and Robotics; Data Science; Other Computer Sciences
• الوصول للمادة أونلاين: https://archium.ateneo.edu/discs-faculty-pubs/417; https://doi.org/10.5220/0011626400003414

The COVID-19 pandemic has emphasized the importance of timely and accurate prediction of disease outbreaks. Mathematical disease models can help simulate the trajectory of diseases and guide policymakers in identifying priorities and gaps in current policies. This study evaluates the performance, on...