Dengue incidence rate clustering by district in Selangor

• Main Authors: Che Him, Norziha, Mohamad, Nazeera, Rusiman, Mohd Saifullah, Khalid, Kamil, Shafi, Muhammad Ammar
• Format: Article
• Published: Science Publishing Corporation 2018
• Subjects: QR Microbiology
• Online Access: http://eprints.uthm.edu.my/5469/
• Institution: Universiti Tun Hussein Onn Malaysia

This study presents the used of Generalised Additive Model (GAM) in modelling Dengue Incidence Rate (DIR) with adopted clustering technique for districts in Selangor. This study identified a pattern for monthly observed dengue count and successfully select variables includes number of rainy days and...