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白尾鹿(弗吉尼亚鹿)作为印第安纳州人类莱姆病的潜在哨兵。

White-tailed deer (Odocoileus virginianus) as a potential sentinel for human Lyme disease in Indiana.

作者信息

Raizman E A, Holland J D, Shukle J T

机构信息

Department of Entomology, Purdue University, West Lafayette, IN, USA.

出版信息

Zoonoses Public Health. 2013 May;60(3):227-33. doi: 10.1111/j.1863-2378.2012.01518.x. Epub 2012 Jul 9.

Abstract

We assessed the potential of white-tailed deer (WTD) (Odocoileus virginianus) to be a sentinel for human cases of Lyme disease (LD) in Indiana using location data from a 3-year survey of approximately 3400 hunted deer with associated tick Ixodes scapularis and Borrelia burgdorferi (Bb) data. Data on human LD cases at the county level were obtained from the Indiana Department of Health. All data were assigned to county centroids to match the resolution of the LD data before creating optimized trend surfaces for LD incidence, hunted deer count, Ixodes scapularis and Bb prevalence. To determine whether LD was spatially associated with the areas of high densities of deer, deer with Ixodes scapularis and deer with ticks infected with Bb, we used spatial analysis with distance indices (SADIE). The SADIE analysis found significant spatial association between LD and the distribution of three organismal predictor variables, that is, WTD, Ixodes ticks and Bb. Lyme disease incident rate varied between 0.08 cases per 10,000 habitants (Johnson county) and 5.9 cases per 10,000 habitants (Warren county). In conclusion, WTD can be used as an accurate and cost-effective sentinel for human LD. This method will permit public health workers to identify potentially endemic areas independently of human case reports.

摘要

我们利用对约3400只被猎杀的鹿进行的为期3年的调查所获得的位置数据,以及相关的肩突硬蜱和伯氏疏螺旋体(Bb)数据,评估了白尾鹿(WTD)(弗吉尼亚鹿)作为印第安纳州莱姆病(LD)人类病例哨兵的潜力。县级人类LD病例的数据来自印第安纳州卫生部。在为LD发病率、猎杀鹿数量、肩突硬蜱和Bb患病率创建优化趋势面之前,所有数据都被分配到县中心,以匹配LD数据的分辨率。为了确定LD是否在空间上与高密度鹿区、携带肩突硬蜱的鹿以及携带感染Bb蜱的鹿相关,我们使用了距离指数空间分析(SADIE)。SADIE分析发现LD与三个生物预测变量的分布之间存在显著的空间关联,即WTD、肩突硬蜱和Bb。莱姆病发病率在每10000名居民0.08例(约翰逊县)至每10000名居民5.9例(沃伦县)之间变化。总之,WTD可以用作人类LD的准确且具有成本效益的哨兵。这种方法将使公共卫生工作者能够独立于人类病例报告来识别潜在的流行地区。

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