Abstract：Objective To explore the spatial and temporal distribution characteristics of active pulmonary tuberculosis (PTB) and sputum smear-positive (SS+) PTB in Inner Mongolia Autonomous Region(briefly as Inner Mongolia)from 2014 to 2018, and to provide a basis for PTB prevention and control. Methods ArcGIS 10.2 software was used to perform cartographic visualization, three-dimensional trend analysis, spatial autocorrelation analysis, high/low clustering analysis and hotspot analysis of data regarding the annual average reported incidence rate (briefly as incidence rate) of PTB in Inner Mongolia. Results Cartographic visualization showed that geographical areas with high incidence of active PTB and SS+ PTB were east Hulun Buir. Three-dimensional trend analysisrevealed that the incidence rates of active PTB and SS+ PTB presented a gradual increase from north to south and a U-shape trendfrom east to west. Global spatial autocorrelation analysis displayed that the incidence of active PTB (Moran's I=0.099,Z=3.98, P<0.001) and SS+ PTB (Moran's I=0.148, Z=2.61, P=0.009) showed spatial clustering on the whole. High/low clustering analysis demonstrated that active PTB (G=0.104, Z=-2.614,P=0.009)was low-value area clustering, while SS+ PTB (G=0.048, Z=1.779, P=0.075) was high-value area clustering. Hotspot analysis displayed that the hotspots of active PTB incidence were concentrated in east Hulun Buir, Chifeng and Xing'an league, while the hotspots of SS+ PTB incidence were concentrated in east Hulun Buir, Chifeng, Xing'an league and central Xilingole league. Conclusions The incidence of active PTB and SS+ PTB in Inner Mongolia in 2014-2018 showed spatial clustering on the whole, and the east areas were the key points in PTB prevention and control.
徐丽娟, 郎胜利, 范景庆, 高雨龙. 基于GIS的内蒙古自治区肺结核时空分布特征分析[J]. 实用预防医学, 2020, 27(6): 645-648.
XU Li-juan, LANG Sheng-li, FAN Jing-qing, GAO Yu-long. Temporal and spatial distribution characteristics of pulmonary tuberculosisin InnerMongolia Autonomous Region based on geographic information system. , 2020, 27(6): 645-648.
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