猪瘟病毒分子流行病学信息系统的建立与应用

doi:10.3864/j.issn.0578-1752.2013.11.021

中国农业科学 ›› 2013, Vol. 46 ›› Issue (11): 2363-2369.doi: 10.3864/j.issn.0578-1752.2013.11.021

猪瘟病毒分子流行病学信息系统的建立与应用

王琴, 涂长春, 黄保续, 徐璐, 盖华武, 范学政, 郭焕成, 徐和敏, 李金花, 赵启祖, 宁宜宝, 郑然, 沈青春

1.中国兽医药品监察所，北京 100081
2.军事医学科学院军事兽医研究所，长春 130122
3.中国动物卫生与流行病学中心，山东青岛 266032

收稿日期:2012-07-26 出版日期:2013-06-01 发布日期:2013-03-08
通讯作者: 通信作者涂长春，Tel：0431-86985921；E-mail：changchun_tu@hotmail.com
作者简介:王琴，Tel：010-62103676；E-mail：wangqin@ivdc.gov.cn
基金资助:
“十一五”国家科技支撑计划课题（2006BAD06A18，2006BAD06A03）

猪瘟 |猪瘟病毒 |流行病学 |地理信息系统 |数据库

WANG Qin, TU Chang-Chun, HUANG Bao-Xu, XU Lu, GAI Hua-Wu, FAN Xue-Zheng, GUO Huan-Cheng, XU He-Min, LI Jin-Hua, ZHAO Qi-Zu, NING Yi-Bao, ZHENG Ran, SHEN Qing-Chun

1.China Institute of Veterinary Drug Control, Beijing 100081
2.Institute of Veterinary Sciences, Academy of Military Medical Sciences, Changchun 130122
3.China Animal Health and Epidemiology Center, Qingdao 266032, Shandong

Received:2012-07-26 Online:2013-06-01 Published:2013-03-08

摘要/Abstract

摘要： 【目的】加强对猪瘟（CSF）流行病学信息的统一管理，随时掌握全球CSF数据，分析CSF传播来源，进行疫情预测预报。【方法】将猪瘟流行病学信息数据与数据库技术、GIS技术、生物信息学技术相结合。采用ArcGIS Desktop、ArcMapObjects、Delphi和DNAStar 6.0等软件工具，在中国数字地图空间数据的支持下，建立了猪瘟流行病学信息系统，并命名为CSFinfo。【结果】该系统包含754株中国流行毒株、554株中国CSFV E2基因序列和欧盟CSF参考实验室数据库的642株CSFV E2基因序列，使中国成为继德国之后第二个拥有这种数据库的国家。【结论】CSFinfo可方便、快捷地对某地某时的CSF疫情进行查询，分析疫病发生规律；由于CSFinfo含有DNAStar6.0序列分析软件，可实现空间数据与基因序列分析应用的完整结合，是该系统的一大创新。CSFinfo的建立对CSF流行病学监测提供了必要的技术支持，提高了对CSFV流行毒株总体分布、疫情发生发展趋势提供科学的统计分析手段，为政府CSF防控提供可靠的疫情资料具有十分重要的意义。

关键词: 猪瘟 , 猪瘟病毒 , 流行病学 , 地理信息系统 , 数据库

Abstract: 【Objective】 The objective of this study is to strengthen the epidemiology information management of classical swine fever (CSF), grasp the worldwide CSF data, analyze and track CSF and predict the epidemic situation accurately. 【Method】The novel software program epidemiology information system of classical swine fever, developed by using DB, GIS and Bioinformatics technology, was developed and named as CSFinfo, which integrated with ArcGIS Desktop, ArcMapObjects, Delphi and DNAStar 6.0 etc. and based on Digital Map Database of China. 【Result】Above 1000 classical swine fever virus isolates from China, 554 E2 sequences from China and 642 E2 sequences from CSF database on EU reference laboratory for CSF (Hanover German) generate into the CSFinfo. China has become the second country which has a complete CSF database after establishing CSFinfo successfully. 【Conclusion】By using CSFinfo, information and pattern of CSF outbreak can be demanded easily and conveniently. Additionally, CSFinfo is a coupled software DNAstar6.0 software and it is a great innovation. The capability for dataset extension and phylogenetic analysis were performed by using CSFinfo. Establishment of CSFinfo can provide technical supports for CSF epidemiology detection and analysis of data, strengthen the ability to understand and handle distribution and occurrence trend of CSFV, improve the quality of analyze and reduce strategic decision risk for government of China.

Key words: classical swine fever , classical swine fever virus , epidemiology , geographic information system , database

王琴, 涂长春, 黄保续, 徐璐, 盖华武, 范学政, 郭焕成, 徐和敏, 李金花, 赵启祖, 宁宜宝, 郑然, 沈青春. 猪瘟病毒分子流行病学信息系统的建立与应用[J]. 中国农业科学, 2013, 46(11): 2363-2369.

WANG Qin, TU Chang-Chun, HUANG Bao-Xu, XU Lu, GAI Hua-Wu, FAN Xue-Zheng, GUO Huan-Cheng, XU He-Min, LI Jin-Hua, ZHAO Qi-Zu, NING Yi-Bao, ZHENG Ran, SHEN Qing-Chun. 猪瘟 |猪瘟病毒 |流行病学 |地理信息系统 |数据库[J]. Scientia Agricultura Sinica, 2013, 46(11): 2363-2369.

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猪瘟病毒分子流行病学信息系统的建立与应用

猪瘟 |猪瘟病毒 |流行病学 |地理信息系统 |数据库

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