Jan 16, 2013 · Based on the above, designing an efficient test framework to detect spatial clusters with mean shifts is critical to many application fields.
Jan 16, 2013 · Detection and delineation of critical areas using echelons and spatial scan statistics with synoptic cellular data. Environmental and Ecological ...
Spatial surveillance is critical to health systems, manufacturing industries, and in many other domains. For example, determining hotspots of infectious ...
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What is spatial clustering in epidemiology?
An EWMA-based scan statistic with variable scan radii to detect clustering instead and can be more sensitive when clusters occur at the early stage, ...
In this paper, we proposed a Multi-level Spatial Clustering (MSC) algorithm for rapid detection of emerging disease outbreaks prospectively.
Oct 22, 2024 · The EWMA based scan statistics are capable of quickly detecting outbreaks of a spatial cluster (see Lin & Chen, 2015;Lin, Tsui, & Lin, 2014; ...
A Spatial-EWMA Framework for Detecting Clustering. Qual. Reliab. Eng. Int. 30(2): 181-189 (2014); 2011. [c1]. view. electronic edition via DOI · unpaywalled ...
Mar 22, 2015 · I have a 211 cases, and i want to use cluster analysis for studying 8 items (1 to 5 possible answer), I want to see how this items form groups ...
This paper proposes an extended power of the cluster detection tests, which includes the usual power as a special case and defines the profile of the ...
ABSTRACT. We propose a new class of spatio-temporal cluster detection meth- ods designed for the rapid detection of emerging space-time clus-.