中国媒介生物学及控制杂志 ›› 2015, Vol. 26 ›› Issue (2): 176-178.DOI: 10.11853/j.issn.1003.4692.2015.02.017

• 调查研究 • 上一篇    下一篇

三江源地区布鲁氏菌病空间流行特征分析

徐立青1, 魏荣杰1, 崔步云2, 马丽1, 杨旭欣1, 秦豫民1, 赵志军1, 金星1, 赵延梅1   

  1. 1 青海省地方病预防控制所布病预防控制科, 西宁811602;
    2 中国疾病预防控制中心传染病预防控制所布病室, 北京102206
  • 收稿日期:2014-10-29 出版日期:2015-04-20 发布日期:2015-04-20
  • 作者简介:徐立青,男,副主任医师,主要从事布病防治研究工作,Email:qhxlq2006@163.com
  • 基金资助:

    国家自然科学基金(81160355)

Spatial epidemiological analysis of brucellosis in Three-River Regions

XU Li-qing1, WEI Rong-jie1, CUI Bu-yun2, MA Li1, YANG Xu-xin1, QIN Yu-min1, ZHAO Zhi-jun1, JIN Xing1, ZHAO Yan-mei1   

  1. 1 Qinghai Institute for Endemic Disease Prevention and Control, Xining 811602, Qinghai Province, China;
    2 National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
  • Received:2014-10-29 Online:2015-04-20 Published:2015-04-20
  • Supported by:

    Supported by the National Natural Science Foundation of China(No. 81160355)

摘要:

目的 运用地理信息系统技术, 描述三江源地区布鲁氏菌病(布病)的空间分布, 研究其空间流行特征。方法 建立三江源布病现况调查数据库, 采用QHEndem ic-GIS和SPSS 17.0软件统计、分析、制图, 以感染率、患病率叠加分析流行特征。结果 三江源地区布病现况调查的空间分布特征, 与考核期相叠加, 囊谦(2.00%/1.03%)、久治(0.81%/0.63%)、达日(0.58%/0.33%)县的患病率明显高于考核期。考核前后相叠加, 疫情均有上升之势。结论 地理信息系统技术可直观、准确地反映青海省三江源地区布病疫情现状, 区域内各县布病疫情呈散发, 并向周边县(区)扩散, 总体分析显示该地区布病疫情呈回升趋势。

关键词: 三江源地区, 布鲁氏菌病, 地理信息系统, 空间分析

Abstract:

Objective To describe spatial distribution of brucellosis in Three-River Regions and research its epidemiological characteristics with the Geographic information technique. Methods We established Geographic Information System Database of brucellosis in Three-River Regions, epidemiological characteristics were overlay analyzed in infectious rate and prevalence rate with QHEndem ic-GIS and SPSS 17.0. Results Spatial characteristics of brucellosis were showed in GIS, the overlaid prevalence rates in Nangqian(2.00%/1.03%), Jiuzhi(0.81%/0.63%)and Dari(0.58%/0.33%)in inspection period were higher than that in inspection period. Overlaying the prevalence of brucellosis before and after inspection period, the prevalence show an upward trend. Conclusion GIS could reflect the state of brucellosis in Three-River Regions directly and correctly. Prevalence of brucellosis showed a sporadic phenomenon with spreading the neighborhood region, the prevalence showed an up-ward trend in these region, and provide scientific data of brucellosis prevention and control.

Key words: Three-River Regions, Brucellosis, Geographic information system, Spatial space analysis

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