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基于遥感预测因子评估乌干达西北部人类感染鼠疫菌的风险。

Assessing human risk of exposure to plague bacteria in northwestern Uganda based on remotely sensed predictors.

机构信息

Division of Vector-Borne Infectious Diseases, Centers for Disease Control and Prevention, 3150 Rampart Road, Fort Collins, CO 80522, USA.

出版信息

Am J Trop Med Hyg. 2010 May;82(5):904-11. doi: 10.4269/ajtmh.2010.09-0737.

Abstract

Plague, a life-threatening flea-borne zoonosis caused by Yersinia pestis, has most commonly been reported from eastern Africa and Madagascar in recent decades. In these regions and elsewhere, prevention and control efforts are typically targeted at fine spatial scales, yet risk maps for the disease are often presented at coarse spatial resolutions that are of limited value in allocating scarce prevention and control resources. In our study, we sought to identify sub-village level remotely sensed correlates of elevated risk of human exposure to plague bacteria and to project the model across the plague-endemic West Nile region of Uganda and into neighboring regions of the Democratic Republic of Congo. Our model yielded an overall accuracy of 81%, with sensitivities and specificities of 89% and 71%, respectively. Risk was higher above 1,300 meters than below, and the remotely sensed covariates that were included in the model implied that localities that are wetter, with less vegetative growth and more bare soil during the dry month of January (when agricultural plots are typically fallow) pose an increased risk of plague case occurrence. Our results suggest that environmental and landscape features play a large part in classifying an area as ecologically conducive to plague activity. However, it is clear that future studies aimed at identifying behavioral and fine-scale ecological risk factors in the West Nile region are required to fully assess the risk of human exposure to Y. pestis.

摘要

鼠疫是一种由鼠疫耶尔森菌引起的、危及生命的跳蚤传播的人畜共患病,近几十年来,该病在东非和马达加斯加最为常见。在这些地区和其他地区,预防和控制工作通常以精细的空间尺度为目标,但疾病风险图通常以粗糙的空间分辨率呈现,在分配稀缺的预防和控制资源方面作用有限。在我们的研究中,我们试图确定亚村庄级别的与人类接触鼠疫细菌风险升高相关的遥感指标,并将模型推广到乌干达西尼罗地区的鼠疫流行地区和刚果民主共和国的邻近地区。我们的模型总体准确率为 81%,灵敏度和特异性分别为 89%和 71%。海拔 1300 米以上的风险高于海拔以下,模型中包含的遥感协变量表明,在 1 月(此时农业用地通常休耕)较湿润、植被生长较少且裸土较多的地方,鼠疫病例发生的风险增加。我们的研究结果表明,环境和景观特征在将一个地区划分为有利于鼠疫活动的生态区方面起着重要作用。然而,很明显,需要在西尼罗地区开展未来的研究,以确定行为和精细尺度的生态风险因素,从而全面评估人类接触鼠疫耶尔森菌的风险。

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