[Spatial-temporal specific incidence of pulmonary tuberculosis in Gansu, 2009-2013]

Zhonghua Liu Xing Bing Xue Za Zhi. 2015 May;36(5):465-9.
[Article in Chinese]

Abstract

Objective: To understand the spatial-temporal specific incidence of pulmonary tuberculosis (TB) in Gansu.

Methods: The county-based incidence of pulmonary TB in Gansu from 2009 to 2013 was used to calculate Moran's I and G statistics, and analyze the spatial-temporal distribution of areas with different pulmonary TB incidences.

Results: The spatial correlation in incidence of pulmonary TB was found in Gansu from 2009 to 2013 (P<0.001), and the hot spot areas were mainly in Hexi area, Linxia, part of Dingxi, while the cold spot areas were in Lanzhou, part of Dingxi, Tianshui, Pingliang and Qingyang. Spatial-temporal analysis showed that the clustering of high pulmonary TB incidence areas were most likely in the Hexi area during 2009-2010 (LLR=3,031.10, RR=2.27, P<0.001), and the clustering of low pulmonary TB incidence areas were most likely in Lanzhou during 2011-2013 (LLR=1,545.52, RR=0.37, P<0.001).

Conclusion: The analysis on spatial and spatial-temporal specific incidences of pulmonary TB in Gansu from 2009 to 2013 indicated that Hexi area is the key area in pulmonary TB prevention and control in Gansu.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biometry
  • China / epidemiology
  • Cluster Analysis
  • Humans
  • Incidence
  • Spatio-Temporal Analysis
  • Tuberculosis, Pulmonary / epidemiology*