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首页> 外文期刊>International Journal of Health Geographics >Locating suitable habitats for West Nile Virus-infected mosquitoes through association of environmental characteristics with infected mosquito locations: a case study in Shelby County, Tennessee
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Locating suitable habitats for West Nile Virus-infected mosquitoes through association of environmental characteristics with infected mosquito locations: a case study in Shelby County, Tennessee

机译：通过环境特征与被感染蚊子的位置相关联，为西尼罗河病毒感染的蚊子找到合适的栖息地：以田纳西州谢尔比县为例

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Background Since its first detection in 2001, West Nile Virus (WNV) poses a significant health risk for residents of Shelby County in Tennessee. This situation forced public health officials to adopt efficient methods for monitoring disease spread and predicting future outbreaks. Analyses that use environmental variables to find suitable habitats for WNV-infected mosquitoes have the potential to support these efforts. Using the Mahalanobis Distance statistic, we identified areas of Shelby County that are ecologically most suitable for sustaining WNV, based on similarity of environmental characteristics to areas where WNV was found. The environmental characteristics in this study were based on Geographic Information Systems (GIS) data, such as elevation, slope, land use, vegetation density, temperature, and precipitation. Results Our analyses produced maps of likely habitats of WNV-infected mosquitoes for each week of August 2004, revealing the areas that are ecologically most suitable for sustaining WNV within the core of the Memphis urban area. By comparing neighbourhood social characteristics to the environmental factors that contribute to WNV infection, potential social drivers of WNV transmission were revealed in Shelby County. Results show that human population characteristics and housing conditions such as a high percentage of black population, low income, high rental occupation, old structures, and vacant housing are associated with the focal area of WNV identified for each week of the study period. Conclusion We demonstrated that use of the Mahalanobis Distance statistic as a similarity index to assess environmental characteristics is a potential raster-based approach to identify areas ecologically most suitable for sustaining the virus. This approach was also useful to monitor changes over time for likely locations of infected mosquito habitats. This technique is very helpful for authorities when making decisions related to an integrated mosquito management plan and targeted health education outreach.
机译：背景自2001年首次发现以来，西尼罗河病毒（WNV）对田纳西州谢尔比县的居民构成了重大健康风险。这种情况迫使公共卫生官员采取有效的方法来监测疾病的传播并预测未来的爆发。使用环境变量为WNV感染的蚊子找到合适的栖息地的分析有可能支持这些工作。使用马氏距离统计数据，我们根据环境特征与发现WNV的地区的相似性，确定了谢尔比县在生态上最适合维持WNV的地区。本研究中的环境特征基于地理信息系统（GIS）数据，例如海拔，坡度，土地利用，植被密度，温度和降水。结果我们的分析绘制了2004年8月每个星期被WNV感染的蚊子可能栖息地的地图，揭示了在孟菲斯市区核心地区最适合维持WNV的生态区域。通过将邻里的社会特征与造成WNV感染的环境因素进行比较，在谢尔比县发现了WNV传播的潜在社会驱动因素。结果表明，人口特征和住房条件（例如高比例的黑人人口，低收入，高租金职业，旧建筑物和空置住房）与研究期间每周确定的WNV重点领域有关。结论我们证明，使用马氏距离统计数据作为相似性指标来评估环境特征是一种潜在的基于栅格的方法，可用来识别生态学上最适合维持该病毒的区域。这种方法对于监视受感染的蚊子栖息地的可能位置随时间的变化也很有用。在与综合蚊子管理计划和针对性的健康教育宣传有关的决策时，此技术对当局非常有用。

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