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Title: Multiscale decomposition of spatial lattice data for detecting hotspots of COVID-19 cases in South Africa Authors:  Rene Stander - University of Pretoria (South Africa) [presenting]
Inger Fabris-Rotelli - University of Pretoria (South Africa)
Din Chen - University of Pretoria (South Africa)
Abstract: During a pandemic such as COVID-19, it is important to know where positive cases are clustered for local governments to implement measures to control the spread of the disease. The detection of such hotspot areas is an important part of spatial analysis. Several methods have been used, such as measures for local spatial association and spatial scan statistics. We propose the use of the Discrete Pulse Transform (DPT) on spatial lattice data along with the multiscale Ht-index as a measure of saliency on the extracted pulses to detect significant hotspots.