中国寄生虫学与寄生虫病杂志 ›› 2017, Vol. 35 ›› Issue (1): 68-0.

• 论著 • 上一篇    下一篇

基于回顾性重排扫描统计量的血吸虫病重点流行区时空聚集性分析

郝瑜婉1, 薛靖波1, 徐俊芳2, 胡飞3, 张云4, 曹淳力1, 阮瑶1, 田添1, 张利娟1, 许静1, 林丹丹3, 董毅4, 李石柱1,*()   

  1. 1 中国疾病预防控制中心寄生虫病预防控制所,世界卫生组织热带病合作中心,科技部国家级热带病国际联合研究中心,卫生部寄生虫病原与媒介生物学重点实验室,上海200025
    2 湖北民族学院,恩施445000
    3 江西省寄生虫病防治研究所,南昌330046
    4 云南省地方病防治所,大理671000
  • 收稿日期:2015-09-27 出版日期:2017-02-28 发布日期:2017-03-06
  • 通讯作者: 李石柱
  • 基金资助:
    国家自然科学基金(No. 81101280,81660557,81502858);国家传染病重大专项(No. 2012ZX10004220, 2012ZX10004-201,2016ZX10004222-004);高分遥感监测项目(No. 10-Y30B11-9001-14/16);上海市公共卫生三年行动计划项目(No. GWIV-29,15GWZK0101);中英全球卫生项目(No. GHSP202708)

Analysis of schistosomiasis prevalence in endemic areas using retrospective space-time permutation scan statistics

Yu-wan HAO1, Jing-bo XUE1, Jun-fang XU2, Fei HU3, Yun ZHANG4, Chun-li CAO1, Yao RUAN1, Tian TIAN1, Li-juan ZHANG1, Jing XU1, Dan-dan LIN3, Yi DONG4, Shi-zhu LI1,*()   

  1. 1 National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention;WHO Collaborating Centre for Tropical Diseases;National Center for International Research on Tropical Diseases, Ministry of Science and Technology;Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai 200025, China
    2 Hubei University for Nationalities, Enshi 445000, China
    3 Jiangxi Provincial Institute of Parasitic Diseases, Nanchang 330046, China
    4 Yunnan Institute of Endemic Diseases Control and Prevention, Dali 671000, China
  • Received:2015-09-27 Online:2017-02-28 Published:2017-03-06
  • Contact: Shi-zhu LI
  • Supported by:
    Supported by the National Natural Science Foundation of China(No. 81101280, 81660557, 81502858), National Major Projects of Infectious Diseases(No. 2012ZX10004220, 2012ZX10004-201, 2016ZX10004222-004), High Resolution Remote Sensing Monitoring Project(No. 10-Y30B11-9001-14/16), The Forth Round of Three-Year Public Health Action Plan of Shanghai, China(No. GWIV-29,15GWZK0101), and The Global Health Project between China and Britain(No. GHSP202708)

摘要:

目的 应用空间流行病学方法分析血吸虫病疫情特征,探索回顾性时空重排扫描统计量在湖沼型、山丘型血吸虫病流行区聚集性探测研究中的应用。方法 分别收集2009-2014年江西省和2004-2013年云南省的血吸虫感染人群、耕牛和钉螺的疫情资料,进行描述性流行病学分析,并应用回顾性时空重排扫描统计量方法,对江西省和云南省血吸虫病高风险传播区域的时空分布进行空间聚集性分析。结果 2009-2014年江西省人群、耕牛和钉螺的血吸虫感染率均呈逐年下降的趋势,人群和钉螺感染率分别由2009年的0.21%和0.03%下降至2014年的0.01%和0,耕牛感染率从2012年的1.25%下降至2014年的0.12%,其中人群感染率年平均变化百分比(APC)为-47.36%(P < 0.05);2009-2014年人群、耕牛和钉螺感染率均存在时空分布聚集性,分别探测出3、2和1个聚集区域,均位于环鄱阳湖地区。2004-2013年云南省人群、钉螺和耕牛血吸虫感染率呈逐年下降的趋势,2004年感染率分别为2.49%、0.70%和3.76%,至2013年,人群和钉螺感染率均为0,耕牛感染率下降为0.02%;其中人群感染率APC为-49.17%(P < 0.05);2004-2013年人群、钉螺和耕牛感染率均存在时空分布聚集性,分别探测出2、6和2个聚集区域。结论 2009-2014年江西省湖沼型和2004-2013年云南省山丘型流行区血吸虫病疫情均呈现下降趋势,回顾性时空重排扫描统计量分析均发现有人群、钉螺和耕牛感染率的聚集性区域,表明可用于分析血吸虫病时空分布特征。

关键词: 血吸虫病, 流行病学特征, 时空聚集性分析

Abstract:

Objective To analyze the characteristics of schistosomasis prevalence by using the spatial epidemiological method, and test the application of retrospective space-time permutation scan statistics in determining mountainous and lake-type endemic areas of schistosomiasis. Methods The data of schistosomasis in humans, cattle and snails in Jiangxi Province during 2009-2014 and in Yunnan Province during 2004-2013 were collected and analyzed. The temporal and spatial distribution of schistosomiasis endemic areas in the two provinces was analyzed with retrospective space-time permutation scan statistics. Results The prevalence of schistosomiasis in residents and Oncomelania snails showed a trend of decline in Jiangxi, from 0.21% and 0.03% in 2009 to 0.01% and zero in 2014. A similar trend was found in cattle, from 1.25% in 2012 to 0.12% in 2014. The average annual percentage change (APC) in residents was -47.36% (P < 0.05). The space-time permutation clustering analysis revealed a temporal and spatial clustering of schistosomiasis prevalence from 2009 to 2014 in residents, cattle, and snails, with 3, 2 and 1 clustering areas, respectively, all distributed in Poyang Lake Region. A similar declining trend of schistosomiasis prevalence was found in residents, snails and cattle in Yunnan during 2004-2013, from 2.49%, 0.70% and 3.76% in 2004 to no infection in residents and snails and 0.02% in cattle in 2013. The APC in residents was -49.17% (P < 0.05). There was a temporal and spatial clustering of schistosomiasis prevalence during 2004-2013 in residents, cattle, and snails, with 2, 2 and 6 clustering areas, respectively. Conclusion A declining trend of schistosomiasis prevalence is shown in lake-type endemic areas in Jiangxi during 2009-2014 and in mountainous endemic areas in Yunnan during 2004-2013. The retrospective space-time permutation scan statistics reveal a clustering of schistosomiasis in humans, cattle, and snails, suggesting its applicability in analyzing the temporal and spatial distribution of schistosomiasis.

Key words: Schistosomiasis, Endemic characteristics, Space-time permutation cluster analysis

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