首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Potential for Hydroclimatically Driven Shifts in Infectious Disease Outbreaks: The Case of Tularemia in High-Latitude Regions
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Potential for Hydroclimatically Driven Shifts in Infectious Disease Outbreaks: The Case of Tularemia in High-Latitude Regions

机译:传染病暴发中水文气候驱动变化的潜力:高纬度地区的图莱姆病

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摘要

Hydroclimatic changes may be particularly pronounced in high-latitude regions and can influence infectious diseases, jeopardizing regional human and animal health. In this study, we consider the example of tularemia, one of the most studied diseases in high-latitude regions, which is likely to be impacted by large regional hydroclimatic changes. For this disease case, we use a validated statistical model and develop a method for quantifying possible hydroclimatically driven shifts in outbreak conditions. The results show high sensitivity of tularemia outbreaks to certain combinations of hydroclimatic variable values. These values are within the range of past regional observations and may represent just mildly shifted conditions from current hydroclimatic averages. The methodology developed also facilitates relatively simple identification of possible critical hydroclimatic thresholds, beyond which unacceptable endemic disease levels may be reached. These results call for further research on how projected hydroclimatic changes may affect future outbreaks of tularemia and other infectious diseases in high-latitude and other world regions, with particular focus on critical thresholds to high-risk conditions. More research is also needed on the generality and spatiotemporal transferability of statistical disease models.
机译:在高纬度地区,水文气候变化尤其明显,并可能影响传染病,危害区域人类和动物健康。在这项研究中,我们以tularemia为例,tularemia是高纬度地区研究最多的疾病之一,很可能会受到较大区域性水文气候变化的影响。对于这种疾病,我们使用经过验证的统计模型,并开发了一种方法来量化暴发条件下可能的水文气候驱动的变化。结果表明,图拉血病暴发对水文气候变量值的某些组合具有很高的敏感性。这些值在过去的区域观测值范围内,可能仅代表与当前水文气候平均值相比出现的轻微变化。所开发的方法还有助于相对简单地识别可能的关键气候阈值,超过该阈值可能会达到无法接受的地方性疾病水平。这些结果要求进一步研究预计的水文气候变化如何影响未来在高纬度地区和其他世界地区的Tularemia和其他传染病的暴发,特别关注高风险条件的临界阈值。还需要对统计疾病模型的普遍性和时空可移植性进行更多研究。

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