title: Epidemiology of pulmonary tuberculosis in Wenchuan earthquake stricken area: population-based study.
abstract: OBJECTIVE
  To explore spatio-temporal distribution and associated factors of pulmonary tuberculosis in Wenchuan earthquake stricken area.
  
  
  METHODS
  Case count, county's location, demographic, health, and social economics data were collected. Longitudinal multilevel model of extra-Poisson and spatial clustering analysis Besag and Newell's method were used.
  
  
  RESULTS
  The incidence rate decreased from 117.59 to 81.04/100,000, and the associated factors included time, latitude of the county, proportion of people aged no more than 29 years, and the disaster-affected severity of the county. The temporal distribution of mortality rate was parabolic, with a summit in 2008. The associated factors included time, whether or not the county is minority inhabited area, and the disaster-affected severity of the county. Two clustered regions of incidence rate were detected with little variations before and after the quake, which were Aba-Ganzi region and Liangshan-Leshan border region. The clustered regions of mortality rate detected were five counties located in Aba-Ganzi region in 2008, and no cluster was detected during other years.
  
  
  CONCLUSIONS
  Tuberculosis epidemiology demonstrates a special spatio-temporal distribution pattern. Wenchuan earthquake has effects especially on mortality rate. Natural, demographic, and social factors also contribute.
authors: Information Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
authors: Xiaoyan
authors: X
authors: Yang
authors: Qiaolan
authors: Q
authors: Liu
authors: Rui
authors: R
authors: Zhang
mesh_terms: D002681:China / Q000453:epidemiology; D016000:Cluster Analysis; D055866:Earthquakes; D006801:Humans; D015994:Incidence; D011159:Population Surveillance; D014397:Tuberculosis, Pulmonary / Q000453:epidemiology* / Q000401:mortality
keywords: Epidemiology; Wenchuan earthquake; multilevel statistical model; pulmonary tuberculosis; spatial clustering