Prophet forecasting and temporal modeling of Covid-19 cases in the Philippines

• المؤلفون الرئيسيون: Bautista, Mary Colleen A., Nunez, Adrian Joshua B.
• التنسيق: text
• اللغة: English
• منشور في: Animo Repository 2022
• الموضوعات: Forecasting—Mathematical models; Statistics and Probability
• الوصول للمادة أونلاين: https://animorepository.dlsu.edu.ph/etdb_math/1; https://animorepository.dlsu.edu.ph/context/etdb_math/article/1000/viewcontent/2022_Nunez_Bautista_Partial.pdf
• المؤسسة: De La Salle University

This paper aims to make use of machine learning models to forecast the trend of COVID-19 in the Philippines to approximate when surges might occur and for the country to be better prepared for the next wave. This study uses 5 different forecasting techniques: Naïve method, Simple Exponential Smoothi...