首页> 外文期刊>International Journal of Biometeorology: Journal of the International Society of Biometeorology >The importance of climatic factors and outliers in predicting regional monthly campylobacteriosis risk in Georgia, USA
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The importance of climatic factors and outliers in predicting regional monthly campylobacteriosis risk in Georgia, USA

机译:气候因素和异常值在预测美国佐治亚州每月区域性弯曲菌病风险中的重要性

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Incidence of Campylobacter infection exhibits a strong seasonal component and regional variations in temperate climate zones. Forecasting the risk of infection regionally may provide clues to identify sources of transmission affected by temperature and precipitation. The objectives of this study were to (1) assess temporal patterns and differences in campylobacteriosis risk among nine climatic divisions of Georgia, USA, (2) compare univariate forecasting models that analyze campylobacteriosis risk over time with those that incorporate temperature and/or precipitation, and (3) investigate alternatives to supposedly random walk series and non-random occurrences that could be outliers. Temporal patterns of campylobacteriosis risk in Georgia were visually and statistically assessed. Univariate and multivariable forecasting models were used to predict the risk of campylobacteriosis and the coefficient of determination (R-2) was used for evaluating training (1999-2007) and holdout (2008) samples. Statistical control charting and rolling holdout periods were investigated to better understand the effect of outliers and improve forecasts. State and division level campylobacteriosis risk exhibited seasonal patterns with peaks occurring between June and August, and there were significant associations between campylobacteriosis risk, precipitation, and temperature. State and combined division forecasts were better than divisions alone, and models that included climate variables were comparable to univariate models. While rolling holdout techniques did not improve predictive ability, control charting identified high-risk time periods that require further investigation. These findings are important in (1) determining how climatic factors affect environmental sources and reservoirs of Campylobacter spp. and (2) identifying regional spikes in the risk of human Campylobacter infection and their underlying causes
机译:弯曲杆菌感染的发病率在温带气候区表现出强烈的季节性成分和区域变化。在区域范围内预测感染的风险可能会提供线索,以识别受温度和降水影响的传播源。这项研究的目的是(1)评估美国佐治亚州9个气候区之间的弯曲菌病风险的时间模式和差异;(2)比较分析随时间变化的弯曲菌病风险的单变量预测模型与结合温度和/或降水的单变量预测模型, (3)研究所谓的随机游走序列和非随机事件的替代方案,这些方案可能是异常值。视觉和统计评估佐治亚州弯曲菌病风险的时间模式。使用单变量和多变量预测模型来预测弯曲菌病的风险,并使用确定系数(R-2)评估培训(1999-2007)和保持(2008)样本。调查了统计控制图和滚动保持期,以更好地了解异常值的影响并改善预测。各州和各部门的弯曲杆菌病风险呈季节性变化,高峰期在6月至8月之间,弯曲菌风险,降水和温度之间存在显着相关性。州和联合部门的预报优于单独的部门,包括气候变量的模型与单变量模型具有可比性。尽管滚动保持技术不能提高预测能力,但控制图确定了需要进一步调查的高风险时间段。这些发现对于(1)确定气候因素如何影响弯曲杆菌属物种的环境来源和储库具有重要意义。 (2)确定人类弯曲杆菌感染风险及其潜在原因的区域性峰值

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