Scientia Agricultura Sinica ›› 2013, Vol. 46 ›› Issue (11): 2363-2369.doi: 10.3864/j.issn.0578-1752.2013.11.021

• VETERINARY SCIENCE • Previous Articles     Next Articles

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. 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

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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

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