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

Author

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  • Ari Whiteman

    (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)

  • Eric Delmelle

    (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)

  • Tyler Rapp

    (Academy for Population Health Innovation, 9201 University City Blvd, Charlotte, NC, 28223, USA)

  • Shi Chen

    (Department of Public Health Sciences, University of North Carolina at Charlotte, 2901 University City Blvd, Charlotte, NC 28223, USA)

  • Gang Chen

    (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)

  • Michael Dulin

    (Academy for Population Health Innovation, 9201 University City Blvd, Charlotte, NC, 28223, USA
    Department of Public Health Sciences, University of North Carolina at Charlotte, 2901 University City Blvd, Charlotte, NC 28223, USA)

Abstract

Climate change, urbanization, and globalization have facilitated the spread of Aedes 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 Ae. albopictus , few have accounted for socioeconomic factors that affect their range in urban regions. Here we introduce an original sampling design for Ae. albopictus , 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 3645 specimens of Ae. albopictus (87% of total samples) across 12 weeks at the 90 optimized site locations and modelled the relationships between the abundance of gravid Ae. albopictus and a variety of neighborhood socioeconomic attributes as well as land cover characteristics. Our results demonstrate that the abundance of gravid Ae. albopictus 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.

Suggested Citation

  • Ari Whiteman & Eric Delmelle & Tyler Rapp & Shi Chen & Gang Chen & Michael Dulin, 2018. "A Novel Sampling Method to Measure Socioeconomic Drivers of Aedes albopictus Distribution in Mecklenburg County, North Carolina," IJERPH, MDPI, vol. 15(10), pages 1-19, October.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:10:p:2179-:d:173873
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    References listed on IDEAS

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    5. Shannon L. LaDeau & Paul T. Leisnham & Dawn Biehler & Danielle Bodner, 2013. "Higher Mosquito Production in Low-Income Neighborhoods of Baltimore and Washington, DC: Understanding Ecological Drivers and Mosquito-Borne Disease Risk in Temperate Cities," IJERPH, MDPI, vol. 10(4), pages 1-22, April.
    6. Brian Becker & Paul T. Leisnham & Shannon L. LaDeau, 2014. "A Tale of Two City Blocks: Differences in Immature and Adult Mosquito Abundances between Socioeconomically Different Urban Blocks in Baltimore (Maryland, USA)," IJERPH, MDPI, vol. 11(3), pages 1-15, March.
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    Cited by:

    1. Shi Yin & Chao Ren & Yuan Shi & Junyi Hua & Hsiang-Yu Yuan & Lin-Wei Tian, 2022. "A Systematic Review on Modeling Methods and Influential Factors for Mapping Dengue-Related Risk in Urban Settings," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    2. Stephanie J. Mundis & Gabriela Hamerlinck & Emily K. Stone & Ari Whiteman & Eric Delmelle & Tyler Rapp & Michael Dulin & Sadie J. Ryan, 2021. "Examining Wing Length–Abundance Relationships and Pyrethroid Resistance Mutations among Aedes albopictus in a Rapidly Growing Urban Area with Implications for Mosquito Surveillance and Control," IJERPH, MDPI, vol. 18(18), pages 1-12, September.

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