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Objective:To investigate the presence of statistically significant geographical clusters of tuberculosis(TB) using Geographical Information System and spatial scan statistics in Dehradun, India.Methods:The spatial scan statistic implemented with a software program,SaTScan v6.1, was used to test the presence of statistically significant spatial clusters of TB and to identify their approximate locations(P<0.05 for primary clusters and P<0.1 for secondary clusters). Geographical Information System was used for geographical analysis.Results:Significant high rate spatial clusters were identified in seven wards of the Dehradun Municipal area. Conclusions:There is sufficient evidence about the existence of statistically significant TB clusters in seven wards of Dehradun,India.The purely spatial scan statistics methodology used in this study has a potential use in surveillance of TB for detecting the true clusters of the disease.
Objective: To investigate the presence of statistically significant clusters of tuberculosis (TB) using Geographical Information System and spatial scan statistics in Dehradun, India. Methods: The spatial scan statistic implemented with a software program, SaTScan v6.1, was used to test the presence of statistically significant spatial clusters of TB and to identify their approximate locations (P <0.05 for primary clusters and P <0.1 for secondary clusters). Geographical Information System was used for geographical analysis. Results: Significant high rate spatial clusters were identified in seven wards of the Dehradun Municipal area. Conclusions: There is sufficient evidence about the existence ofka significant significant clusters in seven wards of Dehradun, India. The purely spatial scan statistics methodology used in this study has a potential use in surveillance of TB for detecting the true clusters of the disease.