Literature DB >> 15769318

[Using geographic information system to study on the association between epidemic areas and main animal hosts of hemorrhagic fever with renal syndrome in China].

Li-qun Fang1, Cheng-yi Li, Hua Yang, Xiao-ming Wu, Hong Yang, Hua-xin Chen, Xiao-wen Li, Wu-chun Cao.   

Abstract

OBJECTIVE: To analyze the association between types of epidemic areas and proportion of main animal hosts of hemorrhagic fever with renal syndrome (HFRS) in China.
METHODS: Data on serotype of HFRS patients from 122 regions and species as well as number of animal hosts from 41 national surveillance sites were collected and managed. The map of the types of epidemic areas from 1991-1999 in China was produced using inverse distance weighted technique in the ArcGIS 8.1 software. The map of the proportion of host animals was then overlapped on it and the surveillance sites of HFRS were clustered in terms of the proportion of host animals.
RESULTS: Variance in spatial distribution of the types of epidemic areas was observed. Two epidemic area types, namely Hantaan-dominant mixed epidemic areas and Soul-dominant mixed epidemic areas seemed to have transferred from the north-east to south-west of China in turns. There were more species of HFRS animal hosts in fields than those of in residential areas. The diversity of rodent species in fields was higher than that of the residential areas which predominant harbored rodent species of 2-3 kinds. Types of surveillance sites classified by cluster analysis of proportion of main animal hosts were consistent with the serotypes of HFRS patients.
CONCLUSION: Through employment of spatial analysis technique based on GIS databases, the HFRS types of main epidemic area in China could be well predicted by surveillance data.

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Year:  2004        PMID: 15769318

Source DB:  PubMed          Journal:  Zhonghua Liu Xing Bing Xue Za Zhi        ISSN: 0254-6450


  4 in total

1.  Epidemiologic characteristics of haemorrhagic fever with renal syndrome in Mainland China from 2006 to 2010.

Authors:  Xiaoxia Huang; Hongmei Yin; Lei Yan; Xiaofang Wang; Shiwen Wang
Journal:  Western Pac Surveill Response J       Date:  2012-02-07

2.  Spatiotemporal trends and climatic factors of hemorrhagic fever with renal syndrome epidemic in Shandong Province, China.

Authors:  Li-Qun Fang; Xian-Jun Wang; Song Liang; Yan-Li Li; Shao-Xia Song; Wen-Yi Zhang; Quan Qian; Ya-Pin Li; Lan Wei; Zhi-Qiang Wang; Hong Yang; Wu-Chun Cao
Journal:  PLoS Negl Trop Dis       Date:  2010-08-10

3.  Spatiotemporal heterogeneity analysis of hemorrhagic fever with renal syndrome in China using geographically weighted regression models.

Authors:  Shujuan Li; Hongyan Ren; Wensheng Hu; Liang Lu; Xinliang Xu; Dafang Zhuang; Qiyong Liu
Journal:  Int J Environ Res Public Health       Date:  2014-11-25       Impact factor: 3.390

4.  The spatial analysis on hemorrhagic fever with renal syndrome in Jiangsu province, China based on geographic information system.

Authors:  Changjun Bao; Wanwan Liu; Yefei Zhu; Wendong Liu; Jianli Hu; Qi Liang; Yuejia Cheng; Ying Wu; Rongbin Yu; Minghao Zhou; Hongbing Shen; Feng Chen; Fenyang Tang; Zhihang Peng
Journal:  PLoS One       Date:  2014-09-10       Impact factor: 3.240

  4 in total

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