Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo, Av. Prof. Dr. Orlando Marques Paiva, 87, CEP 05508-270, São Paulo, SP, Brazil.
Prev Vet Med. 2013 Jun 1;110(2):169-76. doi: 10.1016/j.prevetmed.2012.11.013. Epub 2012 Dec 3.
Between 2007 and 2009, a cross-sectional survey was carried out in Maranhão State, Brazil to estimate the seroprevalence of and risk factors for bovine brucellosis. In total, 749 herds and 6779 cows greater than two years of age were blood sampled. At the time of sampling a questionnaire to collect details on possible risk factors for bovine brucellosis was administered to the participating herd manager. A logistic regression model was developed to quantify the association between herd demographic and management characteristics and the herd-level brucellosis status. Spatial analyses were carried out to identify areas of the state where the presence of brucellosis was unaccounted-for by the explanatory variables in the logistic regression model. The estimated herd-level prevalence of brucellosis in Maranhão was 11.4% (95% CI 9.2-14) and the individual animal-level prevalence was 2.5% (95% CI 1.7-3.6). Herds with more than 54 cows older than two years of age, herds that used rented pasture to feed cattle, and the presence of wetlands on the home farm increased the risk of a herd being brucellosis positive. Infected farms were identified throughout the state, particularly in the central region and on the northwestern border. Spatial analyses of the Pearson residuals from the logistic regression model identified an area in the center of the state where brucellosis risk was not well explained by the predictors included in the final logistic regression model. Targeted investigations should be carried out in this area to determine more precisely the reasons for the unexplained disease excess. This process might uncover previously unrecognized risk factors for brucellosis in Maranhão.
2007 年至 2009 年,巴西马拉尼昂州进行了一项横断面调查,以估计牛布鲁氏菌病的血清流行率和危险因素。总共采集了 749 个牛群和 6779 头两岁以上的奶牛血液样本。在采样时,向参与的牧场经理发放了一份调查问卷,以收集可能导致牛布鲁氏菌病的危险因素的详细信息。建立了逻辑回归模型,以量化牛群人口统计学和管理特征与牛群布鲁氏菌病状态之间的关联。进行了空间分析,以确定该州存在未被逻辑回归模型中的解释变量所解释的布鲁氏菌病的区域。估计马拉尼昂州牛群布鲁氏菌病的流行率为 11.4%(95%置信区间为 9.2-14),个体动物水平的流行率为 2.5%(95%置信区间为 1.7-3.6)。拥有超过 54 头两岁以上奶牛的牛群、使用租用牧场饲养牛的牛群以及农场内存在湿地的牛群,增加了牛群呈布鲁氏菌病阳性的风险。在全州范围内发现了感染农场,特别是在中部地区和西北部边境。逻辑回归模型的 Pearson 残差的空间分析确定了该州中心的一个区域,该区域的布鲁氏菌病风险无法通过最终逻辑回归模型中包含的预测因子很好地解释。应在该地区进行有针对性的调查,以更准确地确定未解释疾病过多的原因。这一过程可能会发现马拉尼昂州布鲁氏菌病以前未被认识的危险因素。