Chin J Schisto Control ›› 2018, Vol. 30 ›› Issue (3): 260-263.

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Endemic features and space?time clustering of schistosomiasis in Xinjian District, Nanchang City from 2009 to 2014

LI Yin-long1| XUE Jing-bo1| HU Wei-chen2| MAO Yuan-hua2| ZHANG Zhi-shu2| ZHOU Ling2| ZHANG Ping2| YU Zhang-ke2*| XU Jing1*   

  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 Parasites and Vector Biology| National Health and Family Planning Commission of China| Shanghai 200025| China; 2 Xinjian Schistosomiasis Control Station| Nanchang City| Jiangxi Province| China
  • Online:2018-07-02 Published:2018-07-02
  • Contact: YU Zhang?ke, XU Jing

2009-2014年南昌市新建区血吸虫病疫情特征及时空聚集性分析

李银龙1|薛靖波1|胡位陈2|毛远华2|张智姝2|周菱2|章萍2|余章科2*|许静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、国家卫生和计划生育委员会寄生虫病原与媒介生物学重点实验室(上海200025);2 江西省南昌市新建区血吸虫病防治站
  • 通讯作者: 余章科,许静
  • 作者简介:李银龙|男|研究实习员。研究方向:血吸虫病流行病学
  • 基金资助:

    国家重点研发计划(2016YFC1202000、2016YFC1202001);上海市第四轮公共卫生三年行动计划(15GWZK0101);国家科技重大专项(2016ZX10004222?004)

Abstract:

Objective To understand the endemic situation and distribution features of schistosomiasis in Xinjian District, Nanchang City, Jiangxi Province from 2009 to 2014, so as to provide a reference for the prevention and control of schistosomiasis in the future. Methods The endemic data of schistosomiasis in Xinjian District were collected by taking the village as a unit from 2009 to 2014. An endemic database was established, and the SaTScan software was applied to analyze the spatiotemporal aggregation areas of Schistosoma japonicum infection in crowd, Oncomelania hupensis snails and cattle. Results The S. japonicum infection rate of crowd was decreased from 0.10% in 2009 to 0.000 68% in 2014. The infection rate of O. hupensis snails was greatly fluctuated from 2009 to 2014, the highest was 1.04% in 2012, but it fell to 0 in 2014. The highest infection rate of cattle was 1.98% in 2012, and it fell to 0 in 2014. The spatial temporal clustering detection showed that three areas of crowd infection were mainly concentrated in 20 villages of Changyi Township, Lianyu Township and Songhu Town; two areas of snail infection were mainly concentrated in five villages of Changyi Township and Nanji Township; one area of cattle infection was mainly concentrated in three villages of Changyi Township. Conclusions The endemic situation of schistosomiasis presents a declining trend in Xinjian District from 2009 to 2014 as a whole. However, the potential risks of the rebound of the disease still exist, and the six clustering areas of infection are still the key areas for the prevention and control of schistosomiasis in the future.

Key words: Schistosomiasis; Endemic situation; Time?space clustering; Xinjian District

摘要:

目的 了解江西省南昌市新建区血吸虫病疫情分布特征,为今后开展血吸虫病防控提供参考。方法 以村为单位,收集并整理2009-2014年南昌市新建区血吸虫病疫情数据,建立数据库,运用SaTScan软件进行分析,确定该地区人群、钉螺及耕牛感染血吸虫的时空聚集区域。结果 新建区人群血吸虫感染率由2009年的0.10%下降至2014年的0.000 68%。钉螺血吸虫感染率波动较大,2012年最高为1.04%,2014年下降至0。耕牛感染率2012年最高,达1.98%;2014年下降至0。时空聚集探测显示,新建区3个人群血吸虫感染聚集区主要集中在昌邑乡、联圩乡及松湖镇的20个自然村,2个钉螺感染聚集区主要集中在昌邑乡和南矶乡的5个自然村,1个耕牛感染聚集区主要集中在昌邑乡的3个自然村。结论 2009-2014年南昌市新建区血吸虫病疫情整体呈下降趋势,但疫情反弹的潜在风险依然存在,6个聚集区域所覆盖的自然村是该区今后血吸虫病防治工作的重点区域。

关键词: 血吸虫病;疫情;时空聚集性;新建区

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