Department of Geography and Earth Sciences and Center for Applied Geographic Information Science, University of North Carolina at Charlotte, 2901 University City Blvd, Charlotte, NC 28223, USA.
Academy for Population Health Innovation, 9201 University City Blvd, Charlotte, NC, 28223, USA.
Int J Environ Res Public Health. 2018 Oct 5;15(10):2179. doi: 10.3390/ijerph15102179.
Climate change, urbanization, and globalization have facilitated the spread of mosquitoes into regions that were previously unsuitable, causing an increased threat of arbovirus transmission on a global scale. While numerous studies have addressed the urban ecology of , few have accounted for socioeconomic factors that affect their range in urban regions. Here we introduce an original sampling design for , that uses a spatial optimization process to identify urban collection sites based on both geographic parameters as well as the gradient of socioeconomic variables present in Mecklenburg County, North Carolina, encompassing the city of Charlotte, a rapidly growing urban environment. We collected 3,645 specimens of (87% of total samples) across 12 weeks at the 90 optimized site locations and modelled the relationships between the abundance of gravid and a variety of neighborhood socioeconomic attributes as well as land cover characteristics. Our results demonstrate that the abundance of gravid is inversely related to the socioeconomic status of the neighborhood and directly related to both landscape heterogeneity as well as proportions of particular resident races/ethnicities. We present our results alongside a description of our novel sampling scheme and its usefulness as an approach to urban vector epidemiology. Additionally, we supply recommendations for future investigations into the socioeconomic determinants of vector-borne disease risk.
气候变化、城市化和全球化促进了蚊子向以前不适宜的地区传播,在全球范围内增加了虫媒病毒传播的威胁。虽然有许多研究探讨了 的城市生态学,但很少考虑到影响其在城市地区范围的社会经济因素。在这里,我们引入了一种 的原始采样设计,该设计使用空间优化过程来根据地理参数以及北卡罗来纳州梅克伦堡县(包括夏洛特市,这是一个快速发展的城市环境)存在的社会经济变量梯度来确定城市采集点。我们在 12 周内在 90 个优化的地点采集了 3645 只 (总样本的 87%),并对大量的妊娠 和各种邻里社会经济属性以及土地覆盖特征之间的关系进行了建模。我们的结果表明,妊娠 的丰度与邻里的社会经济地位呈负相关,与景观异质性以及特定居民种族/族裔的比例直接相关。我们展示了我们的结果以及我们新颖的采样方案的描述,以及它作为城市病媒流行病学方法的有用性。此外,我们还为未来调查虫媒传染病风险的社会经济决定因素提供了建议。