Multiple “spaces”: Using wildlife surveillance, climatic variables, and spatial statistics to identify and map a climatic niche for endemic plague in California, U.S.A.

IF 2.1 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Ian D. Buller , Gregory M. Hacker , Mark G. Novak , James R. Tucker , A. Townsend Peterson , Lance A. Waller
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Abstract

Regional climatic features in endemic areas can help inform surveillance for plague, a bacterial disease typically transmitted by fleas and maintained in mammals. We use 7,954 coyotes (Canis latrans), a sentinel species for plague, screened for plague exposure by the California Department of Public Health - Vector-Borne Disease Section (CDPH-VBDS; 1983-2015) to identify and map plague-suitable local climates within California to empirically inform ongoing sampling and surveillance plans. Using spatial point processes, we compare the distributions of seropositive and seronegative coyotes within the “space” defined by the first two principal components of PRISM Climate Group 30-year average climate variables (primarily temperature and moisture). The approach identifies both regions consistent with CDPH-VBDS mapping of plague-positive rodent and other carnivore samples over the same period and additional plague-suitable areas with climate profiles similar to seropositive samples elsewhere but little or no historical sampling, providing new data-informed insight for prioritizing limited surveillance resources.
多重 "空间":利用野生动物监测、气候变量和空间统计来识别和绘制美国加利福尼亚州地方性鼠疫的气候生态位。
鼠疫是一种通常由跳蚤传播并在哺乳动物体内存留的细菌性疾病,鼠疫流行地区的区域气候特征有助于为鼠疫监测提供信息。我们利用加利福尼亚州公共卫生部病媒传染病科(CDPH-VBDS,1983-2015 年)筛查出的 7954 只郊狼(Canis latrans)(鼠疫的哨兵物种)来识别和绘制加利福尼亚州适合鼠疫的当地气候,从而为正在进行的采样和监测计划提供经验信息。利用空间点过程,我们比较了血清阳性和血清阴性郊狼在 PRISM 气候组 30 年平均气候变量(主要是温度和湿度)的前两个主成分所定义的 "空间 "内的分布情况。这种方法既能确定与同期鼠疫阳性啮齿动物和其他食肉动物样本的 CDPH-VBDS 图谱一致的区域,也能确定与其他地方血清阳性样本相似但历史采样很少或没有采样的其他鼠疫适宜区,从而为有限监测资源的优先排序提供新的数据信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Spatial and Spatio-Temporal Epidemiology
Spatial and Spatio-Temporal Epidemiology PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
5.10
自引率
8.80%
发文量
63
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