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Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach by Ullah, S., Daud, H., Dass, S.C., Khan, H.N., Khalil, A.

Published 2017
“…The proposed method detects space-time disease clusters by tracking the changes in space–time occurrence structure instead of an in-depth search over space. This method was utilised to detect potential clusters in the annual and monthly malaria data in Khyber Pakhtunkhwa Province, Pakistan from 2012 to 2016 visualising the results on a heat map. …”

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