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Evaluation of the spatial patterns and risk factors, including backyard pigs, for classical swine fever occurrence in Bulgaria using a Bayesian model

机译:使用贝叶斯模型评估保加利亚经典猪瘟发生的空间格局和危险因素,包括后院猪

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The spatial pattern and epidemiology of backyard pig farming and other low bio-security pig production systems and their role in the occurrence of classical swine fever (CSF) is described and evaluated. A spatial Bayesian model was used to explore the risk factors, including human demographics, socioeconomic and environmental factors. The analyses were performed for Bulgaria, which has a large number of backyard farms (96% of all pig farms in the country are classified as backyard farms), and it is one of the countries for which both backyard pig and farm counts were available. Results reveal that the high-risk areas are typically concentrated in areas with small family farms, high numbers of outgoing pig shipments and low levels of personal consumption (i.e. economically deprived areas). Identification of risk factors and high-risk areas for CSF will allow to targeting risk-based surveillance strategies leading to prevention, control and, ultimately, elimination of the disease in Bulgaria and other countries with similar socio-epidemiological conditions.
机译:描述和评估了后院养猪场和其他生物安全性低的生猪生产系统的空间格局和流行病学及其在经典猪瘟(CSF)发生中的作用。使用空间贝叶斯模型来探索风险因素,包括人类人口统计学,社会经济和环境因素。对保加利亚进行了分析,保加利亚拥有大量的后院农场(该国所有生猪场中有96%被归类为后院农场),保加利亚是可提供后院生猪和农场数量的国家之一。结果表明,高风险地区通常集中在家庭农场较小,生猪出货量大和个人消费水平低的地区(即经济贫困地区)。查明脑脊液的危险因素和高风险区域将有助于确定基于风险的监测战略,从而在保加利亚和其他具有相似社会流行病学状况的国家中预防,控制并最终消除该病。

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