Yin Li1,2,3, Dan Tan1, Shuang Xue1, Chaojian Shen4, Huajie Ning1, Chang Cai5, Zengzai Liu6. 1. Changsha Animal Disease Control Center, No.12 Xianjiahu Road, Changsha, 410007, Hunan, P.R. China. 2. Murdoch University, Murdoch, 6155, WA, Australia. 3. Commonwealth Scientific and Industrial Research Organisation, St Lucia, 4067, QLD, Australia. 4. Animal Health and Epidemiology Center, No. 369 Nanjing Road, Qingdao, 266032, Shandong, P.R. China. 5. Zhejiang A&F University, Hangzhou, 311300, China. 6. Changsha Animal Disease Control Center, No.12 Xianjiahu Road, Changsha, 410007, Hunan, P.R. China. 15378351@qq.com.
Abstract
BACKGROUND: In south China, goats are the major source of Brucellosis for human infection. However, there are few studies on the prevalence of and risk factors for goat brucellosis in south China. In this study, we conducted a cross-sectional study to investigate the herd prevalence, spatial distribution and relevant risk factors for goat brucellosis in Ningxiang county, south China. Commercial goat farms (n = 457) were randomly selected, and their disease status was ascertained by testing serum samples of chosen individuals using the Rose Bengal Test (screening test) and the Serum Agglutination Test (confirmatory test) in series. A farm with at least two positive individuals was defined as a case farm. Standardized questionnaires were used to collect information on management and hygiene practices in farms. A logistic model with a binomial outcome was built to identify risk factors for being seropositive. RESULTS: The true herd prevalence in commercial goat farms was 4.5% (95%CI: 0.2%-12.2%) and the townships in the centre of the county had higher herd prevalence. The risk factors associated with seropositive on local goat farms include "Introduction in the past 12 months" (OR= 61, 95%CI: 16-333), "Improperly disposal of the sick or dead goats" (OR= 33, 95%CI: 5-341) and "Poor hygiene in lambing pen" (OR= 25, 95%CI: 5-192). CONCLUSIONS: These findings will aid in the development of control strategies of Brucellosis in south China and risk factors identified in this study should be taken into consideration when designing a control strategy.
BACKGROUND: In south China, goats are the major source of Brucellosis for humaninfection. However, there are few studies on the prevalence of and risk factors for goat brucellosis in south China. In this study, we conducted a cross-sectional study to investigate the herd prevalence, spatial distribution and relevant risk factors for goat brucellosis in Ningxiang county, south China. Commercial goat farms (n = 457) were randomly selected, and their disease status was ascertained by testing serum samples of chosen individuals using the Rose Bengal Test (screening test) and the Serum Agglutination Test (confirmatory test) in series. A farm with at least two positive individuals was defined as a case farm. Standardized questionnaires were used to collect information on management and hygiene practices in farms. A logistic model with a binomial outcome was built to identify risk factors for being seropositive. RESULTS: The true herd prevalence in commercial goat farms was 4.5% (95%CI: 0.2%-12.2%) and the townships in the centre of the county had higher herd prevalence. The risk factors associated with seropositive on local goat farms include "Introduction in the past 12 months" (OR= 61, 95%CI: 16-333), "Improperly disposal of the sick or dead goats" (OR= 33, 95%CI: 5-341) and "Poor hygiene in lambing pen" (OR= 25, 95%CI: 5-192). CONCLUSIONS: These findings will aid in the development of control strategies of Brucellosis in south China and risk factors identified in this study should be taken into consideration when designing a control strategy.
Authors: A J Ogugua; V O Akinseye; M C Ayoola; O O Oyesola; F K Shima; A O Tijjani; Aderemi N A Musa; H K Adesokan; Lorraine Perrett; Andrew Taylor; Judy A Stack; I Moriyon; S I B Cadmus Journal: Afr J Med Med Sci Date: 2014-09
Authors: Gianluca Neglia; Vincenzo Veneziano; Esterina De Carlo; Giorgio Galiero; Giorgia Borriello; Matteo Francillo; Giuseppe Campanile; Luigi Zicarelli; Laura Manna Journal: BMC Vet Res Date: 2013-12-01 Impact factor: 2.741