首页> 外文会议>Society for Veterinary Epidemiology and Preventive Medicine >UNDERSTANDING SPATIAL VARIATION TN RISK OF BLUETONGUE OUTBREAKSACROSS SOUTH INDIA USING A BAYESIAN POISSON REGRESSION MODEL
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UNDERSTANDING SPATIAL VARIATION TN RISK OF BLUETONGUE OUTBREAKSACROSS SOUTH INDIA USING A BAYESIAN POISSON REGRESSION MODEL

机译:了解BlueTongue爆发南印度的空间变异TN风险使用贝叶斯泊松回归模型

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Bluetongue virus (BTV), is an economically important, midge-borne Orbivirus (family: Reoviridae) that causes disease in sheep and cattle. In south India, bluetongue disease (BT) occurs annually, whilst sporadic outbreaks occur elsewhere in the country. Within this study, the mean annual number of outbreaks in each district (1992-2009) was examined in relation to land-cover, host availability and climate predictors using a Bayesian generalised linear mixed model with Poisson errors and Conditional AutoRegressive error structure. A rigorous, hierarchical variable selection process was utilised based on information criteria. Land-cover predictors and host predictors outperformed climate predictors as explanatory variables describing patterns in outbreaks. More outbreaks occurred on average in districts with higher coverage of irrigated croplands or standing water following flooding. Number of outbreaks also increased with densities of exotic and local livestock breeds, which may be more susceptible toBTV, and with buffalo density. The value of the resulting cross-India prediction maps of BT risk, to state and district veterinary officers and epidemiologists engaged in surveillance, is discussed.
机译:BlueTongue病毒(BTV)是一种经济上重要的,中源性的野生动物(家族:Reoviridae),导致绵羊和牛的疾病。在印度南印度,BlueTongue疾病(BT)每年发生,而零星爆发在该国的其他地方发生。在这项研究中,使用贝叶斯杂交线性混合模型与泊松误差和有条件自回归误差结构,对每个地区(1992-2009)的平均年度爆发(1992-2009)的平均年度爆发次数有关。基于信息标准使用严格的分层变量选择过程。陆地覆盖预测器和宿主预测变量优于气候预测因子作为描述爆发模式的解释变量。在洪水洪水之后,灌溉农田或常设水域平均地区发生了更多的爆发。爆发的数量也随着异国情调和局部牲畜品种的密度增加,这可能是更易感的难以置词的,并且具有水牛密度。讨论了BT风险的由此产生的交叉印度预测地图的价值,与处于监视的国家和地区兽医官员和流行病学家。

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