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Analysis on the spatial clustering of tuberculosis based on provincial level in China from 2008 to 2010 / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 168-172, 2013.
Article in Chinese | WPRIM | ID: wpr-327650
ABSTRACT
<p><b>OBJECTIVE</b>To study the tuberculosis clustering areas and the changing trend, from 2008 to 2010, so as to provider the reference for tuberculosis control.</p><p><b>METHODS</b>Global spatial autocorrelation and SaTScan methods were used to detect and analyse the spatial clustering of total tuberculosis notification rate and the new smear-positive pulmonary tuberculosis notification rate, at the provincial level from 2008 to 2010.</p><p><b>RESULTS</b>The spatial clustering (SC) phenomenon was significant on total notification rate and new smear-positive pulmonary tuberculosis notification rate from 2008 to 2010 (P < 0.01). The coverages of clustering areas on total notification rate showed a reduction from 19 provinces to 14 provinces, distributed in the south, west and north-east areas of China. The coverages of clustering areas on new smear-positive pulmonary tuberculosis notification rate concentrated in 14 provinces which covered the south and north-east of China.</p><p><b>CONCLUSION</b>The disease burden and the risk of transmission in the clustering areas of tuberculosis both located in the south and the north-east of China. The disease burden of tuberculosis was high in the west of China, but not the areas with high risk of transmission.</p>
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Tuberculosis / Cluster Analysis / Statistical Distributions / China / Epidemiology Limits: Humans Country/Region as subject: Asia Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2013 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Tuberculosis / Cluster Analysis / Statistical Distributions / China / Epidemiology Limits: Humans Country/Region as subject: Asia Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2013 Type: Article