Machine learning methods reveal the temporal pattern of dengue incidence using meteorological factors in Metropolitan Manila, Philippines

• Main Authors: Carvajal, Thaddeus M., Viacrusis, Katherine M., Hernandez, Lara Fides T., Ho, Howell T., Amalin, Divina M., Watanabe, Kozo
• Format: text
• Published: Animo Repository 2018
• Subjects: Dengue > Philippines > Metro Manila; Dengue—Climatic factors; Machine learning; Biology
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2731
• Institution: De La Salle University

Background: Several studies have applied ecological factors such as meteorological variables to develop models and accurately predict the temporal pattern of dengue incidence or occurrence. With the vast amount of studies that investigated this premise, the modeling approaches differ from each study...