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康宏云, 商临萍, 范月玲, 王春蒲, 冯永亮, 王素萍. 2015－2020年山西省耐药结核病流行特征与空间聚集性分析[J]. 疾病监测, 2023, 38(1): 34-38. DOI: 10.3784/jbjc.202204090153
引用本文: 康宏云, 商临萍, 范月玲, 王春蒲, 冯永亮, 王素萍. 2015－2020年山西省耐药结核病流行特征与空间聚集性分析[J]. 疾病监测, 2023, 38(1): 34-38. DOI: 10.3784/jbjc.202204090153
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Kang Hongyun, Shang Linping, Fan Yueling, Wang Chunpu, Feng Yongliang, Wang Suping. Epidemiological characteristics and spatial clustering of drug-resistant tuberculosis in Shanxi[J]. Disease Surveillance, 2023, 38(1): 34-38. DOI: 10.3784/jbjc.202204090153
Citation: Kang Hongyun, Shang Linping, Fan Yueling, Wang Chunpu, Feng Yongliang, Wang Suping. Epidemiological characteristics and spatial clustering of drug-resistant tuberculosis in Shanxi[J]. Disease Surveillance, 2023, 38(1): 34-38. DOI: 10.3784/jbjc.202204090153
shu

2015－2020年山西省耐药结核病流行特征与空间聚集性分析

Epidemiological characteristics and spatial clustering of drug-resistant tuberculosis in Shanxi

    摘要
  • 摘要:
      目的  了解2015—2020年山西省耐药结核病流行特征及空间聚集性，为制定耐药结核病防控措施提供科学依据。
      方法  利用《结核病信息管理系统》相关数据，对山西省耐药结核病流行特征进行描述性分析；应用ArcGis 10.8、GeoDa 1.20软件进行全局和局部空间自相关分析，确定山西省耐药结核病聚集区域。
      结果  2015—2020年山西省共登记耐药结核病患者970例，年均登记率为0.46/10万，登记率总体呈上升趋势（趋势χ2=68.644，P<0.01）；男女性别比为2.44∶1，发病年龄以40～59岁组为主，职业以农民为主；空间自相关分析显示，2017—2019年山西省耐药结核病登记率存在空间正相关，高–高聚集区主要分布在长治市、运城市、晋城市、吕梁市、大同市。
      结论  2015—2020年山西省耐药结核病登记率总体呈上升趋势，应加强重点人群和重点区域的耐药结核病防治工作，减少耐药结核病的传播。

     

    Abstract:
      Objective  To understand the epidemiological characteristics and spatial distribution of drug-resistant tuberculosis (DR-TB) in Shanxi province from 2015 to 2020, and provide theoretical basis for the development of DR-TB prevention and control measures.
      Methods  A retrospective observational study and a spatial analysis were conducted by using DR-TB data from the Tuberculosis Control Institute of Shanxi Province during 2015−2020. The global and local spatial autocorrelation analyses were carried out by using software ArcGis 10.8 and GeoDa 1.20 to identify the clustering areas of DR-TB in Shanxi.
      Results  A total of 970 DR-TB cases were reported in Shanxi during 2015−2020. The annual registration rate of DR-TB was 0.46 per 100 000 population, and an overall upward trend was observed in DR-TB during 2015−2020 (trend χ2=68.644, P<0.01). The male-female ratio of the cases was 2.44∶1, and the proportion of the cases was highest in age group 40−59 years. Most cases were farmers. Spatial clustering analysis showed that there was positive global spatial autocorrelation of the registration rate of DR-TB in Shanxi, and the high-high clustering areas were mainly distributed in Changzhi, Yuncheng, Jincheng, Lyuliang and Datong.
      Conclusion  The registration rate of DR-TB in Shanxi showed an overall upward trend from 2015 to 2020. It is suggested to strengthen the prevention and control of DR-TB in key populations and key areas to reduce the spread of DR-TB.

     

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