Spatial Cluster Models: Model to Predict Disease Casual Association with Physical, Social and Environmental Risk Factors in Public Health Research
Published: January 1, 2020 | DOI: https://doi.org/10.7860/JCDR/2020/43191.13452
Gladius Jennifer Hirudayaraj, M Bagavandas
1. Assistant Professor, Department of Community Medicine, Karpaga Vinayaga Institute of Medical Sciences and Research Centre, Madhuranthakam, Tamil Nadu, India.
2. Professor, School of Public Health, SRM University, Chennai, Tamil Nadu, India.
Correspondence
Dr. Gladius Jennifer Hirudayaraj,
4/44, Varadaraja Nagar, Anumanthaputherri, Chengalpattu-603001, Tamil Nadu, India.
E-mail: gladiusjennifer@gmail.com
Spatial clustering will help us to identify spatial pattern and also predict geographical factors associated with disease. Spatial cluster models are classified as Global, Local and Focused clusters. This article aims to discuss various types of spatial cluster models such as Moral I, Gery 'C, Tango EET, CUSUM, GAM, K function, Scan statistic and other with suitable examples which will sensitise the medical researchers about this technique.
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