A Novel Sampling Method to Measure Socioeconomic Drivers of Aedes Albopictus Distribution in Mecklenburg County, North Carolina

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 socioec...

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Bibliographic Details
Published in:International journal of environmental research and public health 2018-10, Vol.15 (10), p.2179
Main Authors: Whiteman, Ari, Delmelle, Eric, Rapp, Tyler, Chen, Shi, Chen, Gang, Dulin, Michael
Format: Article
Language:English
Subjects:
Aedes
Animal Distribution
Animals
Arboviruses
Cities
Climate Change
Female
Mosquito Vectors
North Carolina
Socioeconomic Factors
Urbanization
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Summary: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.
ISSN:1660-4601
1661-7827
1660-4601
DOI:10.3390/ijerph15102179