论著

2004-2013年全国肾综合征出血热时空分布特点研究

展开
  • 1 中国医科大学公共卫生学院流行病学教研室, 沈阳 110122;
    2 中国医科大学公共基础学院数学教研室/生物医学工程系, 沈阳 110122;
    3 中国卫生统计杂志编辑部, 辽宁沈阳 110122
关鹏,女,满族,博士,教授,主要从事传染病流行病学研究工作,Email:pguan@mail.cmu.edu.cn

收稿日期: 2015-11-10

  网络出版日期: 2016-04-20

基金资助

国家自然科学基金(71573275)

Spatial-temporal characteristics of hemorrhagic fever with renal syndrome in mainland China, 2004 to 2013

Expand
  • 1 Department of Epidemiology, China Medical University, Shenyang 110122, Liaoning Province, China;
    2 Department of Mathematics, China Medical University;
    3 Editorial Office of Chinese Journal of Health Statistics

Received date: 2015-11-10

  Online published: 2016-04-20

Supported by

Supported by the National Nature Science Foundation of China (No. 71573275)

摘要

目的 分析2004-2013年中国大陆地区肾综合征出血热(HFRS)发病情况的时空分布特征。方法 收集2004-2013年中国大陆31个省(自治区、直辖市)人口信息和HFRS疫情监测数据,利用ArcGIS 9.3软件建立地理信息数据库,计算HFRS发病重心并利用Excel 2010软件绘制气泡图呈现重心轨迹。利用SaTScan 9.1.1软件基于Poisson模型时空扫描统计探索HFRS高发病热点地区和高发时段。结果 2004-2013年HFRS发病人数呈先下降后上升趋势,人口重心位于东北部;2004-2013年全国发病重心向西南移动,方向角θ为241.69°。与2004年比较,2013年重心迁移307.87 km,其中在经度上移动距离为119.52 km,在纬度上移动距离为282.61 km。一级聚类区域为2004-2008年的黑龙江、吉林和辽宁省,相对危险度为9.22;二级聚类区域包括4个,分别为2008-2012年的陕西省,2004-2005年的山东省、天津市和河北省,2004-2007年的浙江省和2011-2013年的江西省,相对危险度为1.32~6.33。结论 HFRS发病具有明显的时空分布特征,发病重心由东北地区向华北地区转移,但疫情已呈减弱趋势。

本文引用格式

关鹏, 吴伟, 黄德生, 聂孝楠, 郭海强 . 2004-2013年全国肾综合征出血热时空分布特点研究[J]. 中国媒介生物学及控制杂志, 2016 , 27(2) : 124 -127 . DOI: 10.11853/j.issn.1003.8280.2016.02.008

Abstract

Objective To explore the spatial-temporal characteristics of hemorrhagic fever with renal syndrome (HFRS) in mainland China. Methods Demographic information and the annual number of incident HFRS cases in mainland China from 2004 to 2013 were collected. Retrospective time-space analysis (based on discrete poisson model) was conducted to detect the spatial and spatio-temporal clusters of HFRS cases in SaTScan (Version 9.1.1) after geographical information system database constructed via ArcGIS software (Version 9.3). Gravity centers of HFRS cases were calculated and depicted with bubble charts in Excel 2010. Results The number of HFRS cases decreased from 2004 to 2009 and increased with a gravity center northeast to that of population. The gravity center of HFRS cases in 2013 moved to southwest for 307.87 km compared to that of 2004 with the directional angle as 241.69 degree. The distance in longitude was 119.52 km and 282.61 km in latitude. The most likely cluster was in Heilongjiang, Jilin and Liaoning during 2004 to 2008 with the relative risk 9.22. The secondary cluster included four geographical areas, Shaanxi area (2008-2012), Shandong, Tianjin and Hebei area (2004-2005), Zhejiang province (2004-2007) and Jiangxi (2011-2013), the relative risks varied from 1.32 to 6.33. Conclusion There are significant spatio-temporal cluster pattern for the distribution of HFRS cases in mainland China, the epidemic status showed a weakening trend and the gravity center moved from northeastern part to northern China.

参考文献

[1] 黄立勇. 中国肾综合征出血热流行特征及周期性研究[D]. 北京:中国疾病预防控制中心,2012.
[2] Wei L,Qian Q,Wang ZQ,et al. Using geographic information system-based ecologic niche models to forecast the risk of hantavirus infection in Shandong province,China[J]. Am J Trop Med Hyg,2011,84(3):497-503.
[3] Zuo SQ, Fang LQ, Zhan L, et al. Geo-spatial hotspots of hemorrhagic fever with renal syndrome and genetic characterization of Seoul variants in Beijing,China[J]. PLoS Negl Trop Dis,2011,5(1):e945.
[4] Fang LQ,Wang XJ,Liang S,et al. Spatiotemporal trends and climatic factors of hemorrhagic fever with renal syndrome epidemic in Shandong province,China[J]. PLoS Negl Trop Dis, 2010,4(8):e789.
[5] 殷俊华,曾绍琴,李光强. 湖南省疟疾发生的时空演化过程分析[J]. 实用预防医学,2012,19(5):675-678.
[6] 关鹏,曹爽,黄德生,等. 2005-2011年中国大陆地区梅毒疫情时空分布[J]. 中国感染控制杂志,2014,13(5):257-262.
[7] Soubeyrand S,Thébaud G,Chadoeuf J. Accounting for biological variability and sampling scale:a multi-scale approach to building epidemic models[J]. J Roy Soc Interf,2007,4(16):985-997.
[8] Lukens S,DePasse J,Rosenfeld R,et al. A large-scale immuno-epidemiological simulation of influenza A epidemics[J]. BMC Public Health,2014,14:1019.
[9] Guo DM,Li KC,Peters TR,et al. Multi-scale modeling for the transmission of influenza and the evaluation of interventions toward i[t J]. Sci Rep,2015,5:8980.

文章导航

/