An eigenspace method for detecting space-time disease clusters with unknown population-data
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...
| Main Authors: | Ullah, S., Nor, N.H.M., Daud, H., Zainuddin, N., Hadi Fanaee, T., Khalil, A. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29434 / |
| Published: |
Tech Science Press
2021
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| 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/ |
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