Enhancing mathematical models for COVID-19 pandemic response: A Philippine study

• Main Authors: Teng, Timothy Robin, De Lara-Tuprio, Elvira, Estuar, Ma. Regina Justina, Pulmano, Christian, Ong, Lu Christian S., Pangan, Zachary, Tamayo, Lenard Paulo V, Segismundo, Jasper John V, Tolentino, Mark Anthony C, Ty, Alyssa Nicole N
• 格式: text
• 出版: Archīum Ateneo 2024
• 主題: COVID-19; Mathematical modeling; Pandemic response policies; Vaccination; Delta variant; Applied Mathematics; Mathematics
• 在線閱讀: https://archium.ateneo.edu/mathematics-faculty-pubs/291; https://archium.ateneo.edu/context/mathematics-faculty-pubs/article/1294/viewcontent/1_s2.0_S1110016824009463_main.pdf

Mathematical models supported by a robust automated data pipeline proved to be useful tools for a data-driven and science-based response and policy-making during the COVID-19 pandemic in the Philippines. In the first year of the pandemic, FASSSTER (Feasibility Analysis on Syndromic Surveillance usin...