An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan
Identifying the abnormally high-risk regions in a spatiotemporal space that contains an unexpected disease count is helpful to conduct surveillance and implement control strategies. The EigenSpot algorithm has been recently proposed for detecting space-time disease clusters of arbitrary shapes with...
| Main Authors: | Ullah, S., Daud, H., Dass, S.C., Hadi, F.-T., Khalil, A. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.21539 / |
| Published: |
Public Library of Science
2018
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048760498&doi=10.1371%2fjournal.pone.0199176&partnerID=40&md5=5cb204931ec13aab8a6ea5989bf9795e http://eprints.utp.edu.my/21539/ |
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