J Fan1, H X Rao2, P Wu1, J Zhang1, Y P Wu3, J H Pan1, W H Li1, L X Qiu1. 1. Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan 030001, China. 2. Institute for Communicable Disease, Qinghai Provincial Center for Disease Control and Prevention, Xining 810007, China. 3. Department of Computer Instruction, Shanxi Medical University, Taiyuan 030001, China.
Abstract
Objective: To analyze the spatial distribution of the incidence of tuberculosis (TB) in China from 2012 to 2014 and provide evidence for the prevention and control of TB. Methods: The database of TB in China from 2012 to 2014 was established by using geographical information system, the spatial distribution map was drawn, trend analysis and spatial autocorrelation analysis were conducted to explore the spatial distribution pattern of TB and identify hot areas. Results: The trend surface analysis showed that the incidence of TB decreased gradually from the west to the east in China, and the U type curve could reflect the TB distribution from the south to the north; Global spatial autocorrelation analysis showed the 2012-2014 global Moran's I were 0.366, 0.364 and 0.358 (P<0.01), suggesting that the incidence of TB had a spatial clustering in China; Local Getis-OrdG(i) spatial autocorrelation analysis by ArcGIS software showed that there was 11 cluster areas, 3 high incidence areas (Xinjiang, Tibet, Qinghai) and 8 low incidence areas (Beijing, Tianjin, Shanghai, Hebei, Inner Mongolia, Shanxi, Shandong, Jiangsu). Conclusion: The incidence of TB had obviously spatial clustering characteristic, the areas at high risk were mainly in the northwestern and plateau area in China.
Objective: To analyze the spatial distribution of the incidence of tuberculosis (TB) in China from 2012 to 2014 and provide evidence for the prevention and control of TB. Methods: The database of TB in China from 2012 to 2014 was established by using geographical information system, the spatial distribution map was drawn, trend analysis and spatial autocorrelation analysis were conducted to explore the spatial distribution pattern of TB and identify hot areas. Results: The trend surface analysis showed that the incidence of TB decreased gradually from the west to the east in China, and the U type curve could reflect the TB distribution from the south to the north; Global spatial autocorrelation analysis showed the 2012-2014 global Moran's I were 0.366, 0.364 and 0.358 (P<0.01), suggesting that the incidence of TB had a spatial clustering in China; Local Getis-OrdG(i) spatial autocorrelation analysis by ArcGIS software showed that there was 11 cluster areas, 3 high incidence areas (Xinjiang, Tibet, Qinghai) and 8 low incidence areas (Beijing, Tianjin, Shanghai, Hebei, Inner Mongolia, Shanxi, Shandong, Jiangsu). Conclusion: The incidence of TB had obviously spatial clustering characteristic, the areas at high risk were mainly in the northwestern and plateau area in China.
Authors: Kefyalew Addis Alene; Zuhui Xu; Liqiong Bai; Hengzhong Yi; Yunhong Tan; Darren J Gray; Kerri Viney; Archie C A Clements Journal: Int J Environ Res Public Health Date: 2021-06-24 Impact factor: 3.390