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Climatic Predictors of the Intra- and Inter-Annual Distributions of Plague Cases in New Mexico Based on 29 Years of Animal-Based Surveillance Data

机译:基于29年基于动物的监测数据,新墨西哥州鼠疫病例年内和年度分布的气候预测指标

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摘要

Within the United States, the majority of human plague cases are reported from New Mexico. We describe climatic factors involved in intra- and inter-annual plague dynamics using animal-based surveillance data from that state. Unlike the clear seasonal pattern observed at lower elevations, cases occur randomly throughout the year at higher elevations. Increasing elevation corresponded with delayed mean time in case presentation. Using local meteorological data (previous year mean annual precipitation, total degrees over 27°C 3 years before and maximum winter temperatures 4 years before) we built a time-series model predicting annual case load that explained 75% of the variance in pet cases between years. Moreover, we found a significant correlation with observed annual human cases and predicted pet cases. Because covariates were time-lagged by at least 1 year, intensity of case loads can be predicted in advance of a plague season. Understanding associations between environmental and meteorological factors can be useful for anticipating future disease trends.
机译:在美国,大多数人类瘟疫病例来自新墨西哥州。我们使用来自该州的基于动物的监测数据来描述涉及年内和年间鼠疫动态的气候因素。与在低海拔地区观察到的清晰的季节性模式不同,全年在高海拔地区随机发生病例。病例呈报时,海拔升高与平均时间延迟相对应。利用当地的气象数据(上一年的平均年降水量,3年之前的27°C的总度数和4年之前的最高冬季温度),我们建立了一个预测年病例数的时间序列模型,该模型可以解释宠物病例之间75%的差异。年份。此外,我们发现与观察到的年度人类病例和预测的宠物病例之间存在显着相关性。由于协变量的时间滞后时间至少为1年,因此可以在鼠疫季节来临之前预测病例数。了解环境和气象因素之间的关联对于预测未来疾病趋势可能很有用。

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