陈婉霞, 许志恒, 李红丽, 吴健聪, 谭强, 欧阳东海. 佛山市2011—2020年尘肺病发病的区域聚集性特点分析[J]. 职业卫生与应急救援, 2021, 39(6): 647-650. DOI: 10.16369/j.oher.issn.1007-1326.2021.06.008
引用本文: 陈婉霞, 许志恒, 李红丽, 吴健聪, 谭强, 欧阳东海. 佛山市2011—2020年尘肺病发病的区域聚集性特点分析[J]. 职业卫生与应急救援, 2021, 39(6): 647-650. DOI: 10.16369/j.oher.issn.1007-1326.2021.06.008
CHEN Wanxia, XU Zhiheng, LI Hongli, WU Jiancong, TAN Qiang, OUYANG Donghai. Characteristics of regional clustering of pneumoconiosis in Foshan City during 2011 to 2020[J]. Occupational Health and Emergency Rescue, 2021, 39(6): 647-650. DOI: 10.16369/j.oher.issn.1007-1326.2021.06.008
Citation: CHEN Wanxia, XU Zhiheng, LI Hongli, WU Jiancong, TAN Qiang, OUYANG Donghai. Characteristics of regional clustering of pneumoconiosis in Foshan City during 2011 to 2020[J]. Occupational Health and Emergency Rescue, 2021, 39(6): 647-650. DOI: 10.16369/j.oher.issn.1007-1326.2021.06.008

佛山市2011—2020年尘肺病发病的区域聚集性特点分析

Characteristics of regional clustering of pneumoconiosis in Foshan City during 2011 to 2020

  • 摘要:
      目的  对佛山市2011—2020年尘肺病发病的空间流行病学特征进行分析,为该市尘肺病防控工作提供科学依据。
      方法  利用地理信息系统(ArcGIS)对佛山市2011—2020年尘肺病发病情况进行空间流行病学特征分析,呈现该市尘肺病发病的时空聚集性和空间流行特点。
      结果  佛山市2011—2020年共报告尘肺病新病例573例,全局空间自相关分析显示,尘肺病发病人数在2012—2014年存在空间聚集性;局部空间自相关分析显示,南海区与周围区域尘肺病发病分布呈低-高相邻模式,高明区与周围区域尘肺病发病分布呈高-低相邻模式;趋势面分析显示,聚集区域主要分布在禅城区、顺德区西北侧、南海区西南侧和高明区北侧。
      结论  佛山市2011—2020年尘肺病发病情况总体呈锯齿状上升趋势,尘肺病发病人数在佛山市各区分布呈离散性。

     

    Abstract:
      Objective  To analyze the spatial epidemiological characteristics of pneumoconiosis in Foshan City during 2011 to 2020, so as to provide scientific basis for prevention and control of pneumoconiosis.
      Methods  The spatial epidemiological characteristics of pneumoconiosis diagnosed in Foshan City during 2011 to 2020 were analyzed by using geographic information system(ArcGIS).
      Results  A total of 573 new cases of pneumoconiosis were reported in Foshan City during this period. The global spatial autocorrelation analysis showed that the incidence of pneumoconiosis was spatially aggregated from 2012 to 2014. Local spatial autocorrelation analysis showed that the incidence distribution of pneumoconiosis in Nanhai District and surrounding areas showed a low-high adjacent pattern, and that in Gaoming District and surrounding areas showed a high-low adjacent pattern; trend surface analysis showed that the gathering areas were mainly distributed in Chancheng District, northwest of Shunde District, southwest of Nanhai District and north of Gaoming District.
      Conclusions  The incidence of pneumoconiosis in Foshan City during 2011 to 2020 showed a zigzag upward trend. The spatial epidemiological analysis showed that the distribution of pneumoconiosis in Foshan City was discrete.

     

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