An eigenspace method for detecting space-time disease clusters with unknown population-data

• Main Authors: Ullah, S., Nor, N.H.M., Daud, H., Zainuddin, N., Hadi Fanaee, T., Khalil, A.
• Format: Article
• Published: Tech Science Press 2021
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114558730&doi=10.32604%2fcmc.2022.019029&partnerID=40&md5=1556495b604ef99633600d64485dd333; http://eprints.utp.edu.my/29434/
• Institution: Universiti Teknologi Petronas

Space-time disease cluster detection assists in conducting disease surveillance and implementing control strategies. The state-of-the-art method for this kind of problem is the Space-time Scan Statistics (SaTScan) which has limitations for non-traditional/non-clinical data sources due to its paramet...