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影响美国佐治亚州西尼罗河病毒地理分布的因素:2002 - 2004年

Factors affecting the geographic distribution of West Nile virus in Georgia, USA: 2002-2004.

作者信息

Gibbs Samantha E J, Wimberly Michael C, Madden Marguerite, Masour Janna, Yabsley Michael J, Stallknecht David E

机构信息

The Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia, Athens, Georgia 30602, USA.

出版信息

Vector Borne Zoonotic Dis. 2006 Spring;6(1):73-82. doi: 10.1089/vbz.2006.6.73.

Abstract

The distribution of West Nile virus (WNV) is dependent on the occurrence of both susceptible avian reservoir hosts and competent mosquito vectors. Both factors can be influenced by geographic variables such as land use/landcover, elevation, human population density, physiographic region, and temperature. The current study uses geographic information systems (GIS) and logistic regression analyses to model the distribution of WNV in the state of Georgia based on a wild bird indicator system, and to identify human and environmental predictor variables that are important in the determination of WNV distribution. A database for Georgia was constructed that included (1) location points of all the avian samples tested for WNV, (2) local land use classifications, including temperature, physiographic divisions, land use/landcover, and elevation, (3) human demographic data from the U.S. Census, and (4) statistics summarizing land cover, elevation, and climate within a 1-km-radius landscape around each sample point. Logistic regression analysis was carried out using the serostatus of avian collection sites as the dependent variable. Temperature, housing density, urban/suburban land use, and mountain physiographic region were important variables in predicting the distribution of WNV in the state of Georgia. While weak, the positive correlation between WNV-antibody positive sites and the urban/suburban environment was consistent throughout the study period. The risks associated with WNV endemicity appear to be increased in urban/ suburban areas and decreased in the mountainous region of the state. This information may be used in addressing regional public health needs and mosquito control programs.

摘要

西尼罗河病毒(WNV)的分布取决于易感鸟类宿主和适宜蚊媒的存在。这两个因素都会受到诸如土地利用/土地覆盖、海拔、人口密度、地貌区域和温度等地理变量的影响。本研究利用地理信息系统(GIS)和逻辑回归分析,基于野生鸟类指标系统对佐治亚州WNV的分布进行建模,并确定在WNV分布测定中重要的人类和环境预测变量。构建了一个佐治亚州的数据库,其中包括:(1)所有检测WNV的鸟类样本的位置点;(2)当地土地利用分类,包括温度、地貌分区、土地利用/土地覆盖和海拔;(3)来自美国人口普查的人类人口数据;(4)总结每个样本点周围1公里半径范围内景观的土地覆盖、海拔和气候的统计数据。以鸟类采集地点的血清学状态作为因变量进行逻辑回归分析。温度、住房密度、城市/郊区土地利用和山区地貌区域是预测佐治亚州WNV分布的重要变量。虽然相关性较弱,但WNV抗体阳性地点与城市/郊区环境之间的正相关在整个研究期间是一致的。WNV地方病相关风险在城市/郊区似乎增加,而在该州山区则降低。这些信息可用于满足区域公共卫生需求和蚊虫控制计划。

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