A Review on the Methods of Detecting Space Time Clusters

Jaisankar R¹ , Ranjani M² , Kausalya N³

Section:Review Paper, Product Type: Isroset-Journal
Vol.6 , Issue.2 , pp.80-85, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v6i2.8085

Online published on Apr 30, 2019

Copyright © Jaisankar R, Ranjani M, Kausalya N . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
In disease, cluster is an unusually high incidence of a particular disease or disorder occurring in close proximity in terms of both time and geography. Detecting the clusters of disease cases resulting from emerging disease outbreaks is an important part of spatial epidemiology because it is used to identifying hotspots and also environmental factors related with disease and thus guide for the investigation of etiology of diseases. These disease clusters can be as purely spatial or temporal or both spatial and temporal. The present work is aims on reviewing the methods for detecting the space time clusters.

Key-Words / Index Term :
Spatial clusters, Cluster detection, Space-time, Window shapes

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