title: [Analysis on the spatial clustering of tuberculosis based on provincial level in China from 2008 to 2010].
abstract: OBJECTIVE
  To study the tuberculosis clustering areas and the changing trend, from 2008 to 2010, so as to provider the reference for tuberculosis control.
  
  
  METHODS
  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.
  
  
  RESULTS
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
authors.forename: Fei
authors.initials: F
authors.lastname: Zhao
authors.forename: Li-xia
authors.initials: LX
authors.lastname: Wang
authors.forename: Shi-ming
authors.initials: SM
authors.lastname: Cheng
authors.forename: Ming-ting
authors.initials: MT
authors.lastname: Chen
authors.forename: Yan-lin
authors.initials: YL
authors.lastname: Zhao
authors.forename: Hui
authors.initials: H
authors.lastname: Zhang
authors.forename: Jun
authors.initials: J
authors.lastname: Cheng
authors.forename: Dong-mei
authors.initials: DM
authors.lastname: Hu
authors.forename: Hui
authors.initials: H
authors.lastname: Guo
authors.forename: Meng
authors.initials: M
authors.lastname: Li
authors.forename: Guang-xue
authors.initials: GX
authors.lastname: He
mesh_terms: D002681:China / Q000453:epidemiology; D016000:Cluster Analysis; D006801:Humans; D016008:Statistical Distributions; D014376:Tuberculosis / Q000453:epidemiology*