1.Spatial-temporal specific incidence of pulmonary tuberculosis in Gansu, 2009-2013.
Xinfeng LIU ; Faxiang GOU ; Xiaowei REN ; Dongpeng LIU ; Yunhe ZHENG ; Kongfu WEI ; Haixia LIU ; Juansheng LI ; Email: LIJSH@LZU.EDU.CN. ; Lei MENG ; Email: CCDCUSC101@163.COM.
Chinese Journal of Epidemiology 2015;36(5):465-469
OBJECTIVETo understand the spatial-temporal specific incidence of pulmonary tuberculosis (TB) in Gansu.
METHODSThe 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.
RESULTSThe 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).
CONCLUSIONThe 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.
Biometry ; China ; epidemiology ; Cluster Analysis ; Humans ; Incidence ; Spatio-Temporal Analysis ; Tuberculosis, Pulmonary ; epidemiology
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