ISSN 1003-8280 CN 10-1522/R 中国疾病预防控制中心 主办
Objective Three suspected brucellosis cases were investigated in Suizhou city of Hubei province, and three suspected Brucella strains were identified. Methods Field investigation was applied to finish Brucella epidemiological survey, used Brucella conventional appraisal classification method and the phage cracking test for testing. BCSP31-PCR method (Based on Brucella genus specific gene BCSP31 target gene detection method), AMOS-PCR (based on electrophoresis banding identify B. abortus biovar 1, 2, 4 of Brucella, B. melitensis, B. ovis and B. suis biovar 1) and Real-time PCR, three molecular classification method were compared. Results Three patients were infected by close contact with sick animals and their meat, conventional identification and a variety of polymerase chain reaction (PCR) had the same results, B. melitensis biovar 3. Conclusion Brucella melitensis biovar 3 was identified as the pathogen of the three cases from Suizhou city and cases were mainly caused by direct contact with sick animals and their meat.
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.
【Abstract】 Objective To study the method to identify Brucella suis biovar 1 wild strain and S2 vaccine strain. Methods A total of 21 strains of B.suis biovar 1 wild strain were analyzed by AMOS-PCR, PFGE and multiple-locus variable-number tandem-repeat analysis (MLVA). Results B.suis biovar 1 and S2 could be discriminated by MLVA Bru9 and Bru16. Conclusion The MLVA assay can be applied to identification of wild strains and vaccine strain and can be proposed to as a complement of classical biotyping methods.