IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i10p2179-d173873.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/10/2179/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/15/10/2179/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Winkleby, M.A. & Jatulis, D.E. & Frank, E. & Fortmann, S.P., 1992. "Socioeconomic status and health: How education, income, and occupation contribute to risk factors for cardiovascular disease," American Journal of Public Health, American Public Health Association, vol. 82(6), pages 816-820.
    2. Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez, 2014. "Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1553-1623.
    3. Portney, Paul R., 1981. "Housing prices, health effects, and valuing reductions in risk of death," Journal of Environmental Economics and Management, Elsevier, vol. 8(1), pages 72-78, March.
    4. Richard Church & Charles R. Velle, 1974. "The Maximal Covering Location Problem," Papers in Regional Science, Wiley Blackwell, vol. 32(1), pages 101-118, January.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rebeca de Jesús Crespo & Madison Harrison & Rachel Rogers & Randy Vaeth, 2021. "Mosquito Vector Production across Socio-Economic Divides in Baton Rouge, Louisiana," IJERPH, MDPI, vol. 18(4), pages 1-11, February.
    2. Rebeca de Jesús Crespo & Rachel Elba Rogers, 2021. "Habitat Segregation Patterns of Container Breeding Mosquitos: The Role of Urban Heat Islands, Vegetation Cover, and Income Disparity in Cemeteries of New Orleans," IJERPH, MDPI, vol. 19(1), pages 1-16, December.
    3. Jo Blanden, 2019. "Intergenerational income persistence," IZA World of Labor, Institute of Labor Economics (IZA), pages 176-176, January.
    4. Maia Güell & Michele Pellizzari & Giovanni Pica & José V. Rodríguez Mora, 2018. "Correlating Social Mobility and Economic Outcomes," Economic Journal, Royal Economic Society, vol. 128(612), pages 353-403, July.
    5. Andrés Rodríguez-Pose & Michael Storper, 2020. "Housing, urban growth and inequalities: The limits to deregulation and upzoning in reducing economic and spatial inequality," Urban Studies, Urban Studies Journal Limited, vol. 57(2), pages 223-248, February.
    6. repec:spo:wpmain:info:hdl:2441/6s39gt704s95upu27ma7s3p6q8 is not listed on IDEAS
    7. M. Shahe Emran & Francisco H. G. Ferreira & Yajing Jiang & Yan Sun, 2023. "Occupational dualism and intergenerational educational mobility in the rural economy: evidence from China and India," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(3), pages 743-773, September.
    8. Tammy Drezner & Zvi Drezner, 2019. "Cooperative Cover of Uniform Demand," Networks and Spatial Economics, Springer, vol. 19(3), pages 819-831, September.
    9. Alan T. Murray, 2016. "Maximal Coverage Location Problem," International Regional Science Review, , vol. 39(1), pages 5-27, January.
    10. Andreas Fagereng & Luigi Guiso & Davide Malacrino & Luigi Pistaferri, 2020. "Heterogeneity and Persistence in Returns to Wealth," Econometrica, Econometric Society, vol. 88(1), pages 115-170, January.
    11. Adrian Adermon & Mikael Lindahl & Daniel Waldenström, 2018. "Intergenerational Wealth Mobility and the Role of Inheritance: Evidence from Multiple Generations," Economic Journal, Royal Economic Society, vol. 128(612), pages 482-513, July.
    12. Francesco Andreoli & Eugenio Peluso, 2016. "So close yet so unequal: Reconsidering spatial inequality in U.S. cities," Working Papers 21/2016, University of Verona, Department of Economics.
    13. Martti Kaila & Emily Nix & Krista Riukula, 2021. "Disparate Impacts of Job Loss by Parental Income and Implications for Intergenerational Mobility," Opportunity and Inclusive Growth Institute Working Papers 53, Federal Reserve Bank of Minneapolis.
    14. Bratu, Cristina & Bolotnyy, Valentin, 2023. "Immigrant intergenerational mobility: A focus on childhood environment," European Economic Review, Elsevier, vol. 151(C).
    15. Simon Halphen Boserup & Wojciech Kopczuk & Claus Thustrup Kreiner, 2018. "Born with a Silver Spoon? Danish Evidence on Wealth Inequality in Childhood," Economic Journal, Royal Economic Society, vol. 128(612), pages 514-544, July.
    16. Donald R. Davis & Jonathan I. Dingel & Joan Monras & Eduardo Morales, 2019. "How Segregated Is Urban Consumption?," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1684-1738.
    17. Alex Bell & Raj Chetty & Xavier Jaravel & Neviana Petkova & John Van Reenen, 2019. "Who Becomes an Inventor in America? The Importance of Exposure to Innovation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 647-713.
    18. French, Eric Baird & O’Dea, Cormac & MacCuish, Jamie, 2021. "The Intergenerational Elasticity of Earnings: Exploring the Mechanisms," CEPR Discussion Papers 15975, C.E.P.R. Discussion Papers.
    19. Naguib, Costanza, 2019. "Estimating the Heterogeneous Impact of the Free Movement of Persons on Relative Wage Mobility," Economics Working Paper Series 1903, University of St. Gallen, School of Economics and Political Science.
    20. Bachas, Pierre & Fattal Jaef, Roberto N. & Jensen, Anders, 2019. "Size-dependent tax enforcement and compliance: Global evidence and aggregate implications," Journal of Development Economics, Elsevier, vol. 140(C), pages 203-222.
    21. Chong Lu, 2022. "The effect of migration on rural residents’ intergenerational subjective social status mobility in China," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3279-3308, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:10:p:2179-:d:173873. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.