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Volume 14, Number 9—September 2008
Research

Spatial Analysis of Tuberculosis Cases in Migrants and Permanent Residents, Beijing, 2000–2006

Zhong-Wei Jia, Xiao-Wei Jia, Yun-Xi LiuComments to Author , Christopher Dye, Feng Chen, Chang-Sheng Chen, Wen-Yi Zhang, Xiao-Wen Li, Wu-Chun CaoComments to Author , and He-Liang LiuComments to Author 
Author affiliations: Capital Medical University, Beijing, People’s Republic of China (PRC) (Z.-W. Jia); State Key Laboratory of Pathogen and Biosecurity, Beijing (Z.-W. Jia, W.-Y. Zhang, W.-C. Cao); Chinese Center for Disease Control and Prevention, Beijing (X.W. Jia); Chinese PLA General Hospital, Beijing (Y.-X. Liu); World Health Organization, Geneva, Switzerland (C. Dye); Nanjing Medical University, Nanjing, PRC (F. Chen); Fourth Military Medical University, Xi’an, PRC (C.-S. Chen, H.-L. Liu); Chinese Academy of Sciences, Beijing (X.-W. Li);

Main Article

Table 3

Results from Model 3: differences in TB prevalence by district, origin of cases, gender and age of cases*

Parameter Estimate Standard error χ2 value p value
Level 1
Constant –9.823 0.117 6993.521 <0.001
Zone 0.795 0.144 30.397 <0.001
Age 0.948 0.035 737.1151 <0.001
Gender 0.501 0.031 269.385 <0.001
Level 2
Error terms combined 0.200 0.069 8.330 <0.005
Error term associated with TB prevalence† –0.067 0.068 0.965 0.3259
Error term associated with origin (zone) of cases‡ 0.342 0.124 7.603 <0.005

*TB, tuberculosis.
†If the error term is statistically significant, it indicates that there are differences in the prevalence rate of TB at the district level (but doesn’t identify which districts are different and the degree of difference).
‡If the error term is statistically significant, it indicates that there are differences in the prevalence rate of TB by origin (zone) of cases (but doesn’t identify which the degree of difference between origins).

Main Article

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