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Int. J. Environ. Res. Public Health 2015, 12(12), 16005-16018; doi:10.3390/ijerph121215040

Spatial Pattern Detection of Tuberculosis: A Case Study of Si Sa Ket Province, Thailand

1
Remote Sensing and Geographic Information System Field of Study, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani 12120, Thailand
2
UMR_D 190 “Emergence des Pathologies Virales”, IRD, Aix-Marseille University, EHESP, INSERM, IFS, 13385 Marseille, France
*
Author to whom correspondence should be addressed.
Academic Editor: Paul B. Tchounwou
Received: 24 November 2015 / Revised: 10 December 2015 / Accepted: 11 December 2015 / Published: 17 December 2015
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Abstract

This retrospective population-based study was conducted to analyze spatial patterns of tuberculosis (TB) incidence in Si Sa Ket province, Thailand. TB notification data from 2004 to 2008 collected from TB clinics throughout the province was used along with population data to reveal a descriptive epidemiology of TB incidences. Global clustering patterns of the occurrence were assessed by using global spatial autocorrelation techniques. Additionally, local spatial pattern detection was performed by using local spatial autocorrelation and spatial scan statistic methods. The findings indicated clusters of the disease occurred in the study area. More specifically, significantly high-rate clusters were mostly detected in Mueang Si Sa Ket and Khukhan districts, which are located in the northwestern part of the province, while significantly low-rate clusters were persistent in Kantharalak and Benchalak districts, which are located at the southeastern area. View Full-Text
Keywords: tuberculosis; spatial autocorrelation; spatial scan statistic; Si Sa Ket; Thailand tuberculosis; spatial autocorrelation; spatial scan statistic; Si Sa Ket; Thailand
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. (CC BY 4.0).

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MDPI and ACS Style

Hassarangsee, S.; Tripathi, N.K.; Souris, M. Spatial Pattern Detection of Tuberculosis: A Case Study of Si Sa Ket Province, Thailand. Int. J. Environ. Res. Public Health 2015, 12, 16005-16018.

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