热带病与寄生虫学

热带病与寄生虫学 ›› 2022, Vol. 20 ›› Issue (2): 64-68.

• 论著 • 上一篇    下一篇

2016—2020年青藏高原东部地区棘球蚴病空间聚集性分析

施丹丹，蒉嫣，韩帅，伍卫平   

  1. 中国疾病预防控制中心寄生虫病预防控制所（国家热带病研究中心），国家卫生健康委员会寄生虫病原与媒介生物学重点实验室，世界卫生组织热带病合作中心，国家级热带病国际联合研究中心，上海200025
  • 收稿日期:2022-01-20 出版日期:2022-04-20 发布日期:2022-04-29
  • 通信作者: 伍卫平，E-mail：wuwp@nipd.chinacdc.cn
  • 作者简介:施丹丹，女，硕士在读，研究方向：寄生虫病流行病学。E-mail：shidd1997@163.com
  • 基金资助:
    中国疾病预防控制中心包虫病防治示范项目（202112）

Spatial cluster analysis of echinococcosis in the eastern Qinghai-Tibet Plateau from 2016 to 2020

SHI Dan-dan, KUAI Yan, HAN Shuai, WU Wei-ping   

  1. National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Shanghai 200025, China
  • Received:2022-01-20 Online:2022-04-20 Published:2022-04-29

PDF (PC)

663

摘要： 目的 探索2016—2020年青藏高原东部地区棘球蚴病的空间分布特征，为棘球蚴病防治策略制定提供科学依据。方法 通过全国传染病监测报告数据库收集2016—2020年青海省玉树州、果洛州和四川省甘孜州、阿坝州的棘球蚴病发病数据，对发病率进行全局空间自相关分析、局部空间自相关分析和热点分析。结果 2016—2020年青藏高原东部地区平均年发病率为0.032%，发病率随时间呈下降趋势（χ2=802.991，P<0.05）。全局空间自相关分析显示，2016—2018年全局Moran′s I值分别为0.005、0.088、-0.046（Z=0.281、1.196、-0.046，P均>0.05），2019、2020年全局Moran′s I值为0.179、0.166（Z=2.273、2.316，P均<0.05）。局部空间自相关分析显示，2019—2020年青藏高原东部地区棘球蚴病发病率呈一定聚集趋势，存在“高-高”“高-低”和“低-高”聚集区域。局部Getis-Ord Gi*热点分析结果显示，2019年棘球蚴病发病率热点区域位于青海省治多县、杂多县、玉树市，2020年热点区域位于四川省阿坝县、红原县、理县、若尔盖县、松潘县、黑水县、马尔康市。结论 2016—2020年青藏高原东部地区棘球蚴病发病率逐年下降，且呈一定程度的空间聚集性，仍应加强热点区域的棘球蚴病防治工作。

关键词: 青藏高原, 棘球蚴病, 空间聚集性, 四川省, 青海省

Abstract: Objective To investigate the spatial distribution characteristics of echinococcosis in the eastern Qinghai-Tibet Plateau from 2016 to 2020 for evidences in formulating strategies for prevention and control of this infection. Methods The data on echinococcosis cases reported from 2016 to 2020 in the eastern Qinghai-Tibet Plateau areas, including Yushu and Golog prefecture of Qinghai Province, Ganzi and Aba prefecture of Sichuan Province, were retrieved from National Infectious Disease Surveillance Report Database, and then analyzed for the global spatial autocorrelation, local spatial autocorrelation and hotspot. Results The average annual incidence rate was 0.032% in the eastern Qinghai-Tibet Plateau areas from 2016 to 2020, and the incidence rate showed a downward trend over year (χ2=802.991, P<0.05). Global spatial autocorrelation analysis indicated that the global Moran′s I value was 0.005, 0.088 and -0.046 from 2016 through 2018 (Z=0.281, 1.196, -0.046; all P>0.05), and 0.179, 0.166 respectively for 2019 and 2020 (Z=2.273, 2.316; both P<0.05). Local spatial autocorrelation analysis revealed that the incidence of echinococcosis tended to be cluster distribution in the eastern Qinghai-Tibet Plateau areas between 2019 and 2020, characterized by high-high, high-low and low-high tendency. Local Hot Spot Analysis(Getis-Ord Gi*) results showed that the hotspots in 2019 were located in Zhiduo County, Zaduo County, and Yushu City of Qinghai Province, and in 2020 in Aba County, Hongyuan County, Lixian County, Ruoergai County, Songpan County, Heishui County and Maerkang County in Sichuan Province. Conclusion The incidence rate of echinococcosis in the eastern Qinghai-Tibet Plateau was annually decreased from 2016 to 2020, yet showing a certain degree of spatial clustering. The findings suggest that prevention and control activities for echinococcosis should be intensified in the hotspots.

Key words: Qinghai-Tibet Plateau, Echinococcosis, Spatial Clustering, Sichuan Province, Qinghai Province

中图分类号: