Assessing and Mapping of Provincial Risks of COVID-19 using Regression-Based Significant Factors in the Philippines

• Main Authors: Roca, Pauline Dela T., Miranda, Jasper Victor Y., Ocampo, Shirl Angelee R., Olvina, Timothy F.
• Format: text
• Published: Animo Repository 2022
• Subjects: COVID-19; regression models; spatial mapping; provincial risk; clustering
• Online Access: https://animorepository.dlsu.edu.ph/conf_shsrescon/2022/paper_fnh/1; https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1037&context=conf_shsrescon
• Institution: De La Salle University

The Coronavirus disease (COVID-19), a highly contagious fatal viral disease, has infected millions of people and led to substantial losses of human lives worldwide. The Philippines was considered a COVID-19 high-risk country because of the numerous surges, especially in the National Capital Region (...