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景观因素和管理决策对白尾鹿慢性消耗病传播的时空模式的影响。

Influence of landscape factors and management decisions on spatial and temporal patterns of the transmission of chronic wasting disease transmission in white-tailed deer.

作者信息

O'Hara Ruiz Marilyn, Kelly Amy C, Brown William M, Novakofski Jan E, Mateus-Pinilla Nohra E

出版信息

Geospat Health. 2013 Nov;8(1):215-27. doi: 10.4081/gh.2013.68.

DOI:10.4081/gh.2013.68
PMID:24258897
Abstract

Chronic wasting disease (CWD) has been reported in white-tailed deer at the border of the US states of Illinois and Wisconsin since 2002. Transmission of infectious prions between animals and from the environment has resulted in spatial and temporal structure observable in the spatio-temporal patterns of reported cases. Case locations of 382 positive cases from 28,954 deer tested between 2002 and 2009 provided insight into the potential risk factors and landscape features associated with transmission using a combination of clustering, generalised linear modelling and descriptive evaluations of a risk map of predicted cases of CWD. A species distribution map of white-tailed deer developed using MaxEnt provided an estimate of deer locations. We found that deer probability increased in areas with larger forests and less urban and agricultural lands. Spatial clustering analysis revealed a core area of persistent CWD transmission in the northern part of the region. The regression model indicated that larger and more compact forests were associated with higher risk for CWD. High risk areas also had soils with less clay and more sand than other parts of the region. The transmission potential was higher where landscape features indicated the potential for higher deer concentrations. The inclusion of spatial lag variables improved the model. Of the 102 cases reported in the study area in the two years following the study period, 89 (87%) of those were in the 32% of the study area with the highest 50% of predicted risk of cases.

摘要

自2002年以来,在美国伊利诺伊州和威斯康星州边境的白尾鹿中报告了慢性消耗病(CWD)。传染性朊病毒在动物之间以及从环境中的传播导致了在所报告病例的时空模式中可观察到的时空结构。2002年至2009年间对28954头鹿进行检测,其中382例阳性病例的位置,通过聚类、广义线性建模以及对CWD预测病例风险图的描述性评估相结合的方法,深入了解了与传播相关的潜在风险因素和景观特征。使用最大熵模型(MaxEnt)绘制的白尾鹿物种分布图提供了鹿分布位置的估计。我们发现,在森林面积较大、城市和农业用地较少的地区,鹿的出现概率增加。空间聚类分析揭示了该地区北部存在CWD持续传播的核心区域。回归模型表明,更大、更紧凑的森林与CWD的高风险相关。高风险地区的土壤比该地区其他部分的土壤粘土含量更低、沙子含量更高。在景观特征表明鹿群可能更密集的地方,传播潜力更高。纳入空间滞后变量改进了模型。在研究期后的两年里,研究区域报告的102例病例中,有89例(87%)出现在研究区域中预测病例风险最高的50%的32%区域内。

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