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Mapping Mobility: Utilizing Local-Knowledge-Derived Activity Space to Estimate Exposure to Ambient Air Pollution among Individuals Experiencing Unsheltered Homelessness

Author

Listed:
  • Maeve G. MacMurdo

    (Cleveland Clinic Respiratory Institute, Cleveland, OH 44195, USA)

  • Karen B. Mulloy

    (Department of Family Medicine and Community Health, Case Western Reserve University, Cleveland, OH 44106, USA)

  • Daniel A. Culver

    (Cleveland Clinic Respiratory Institute, Cleveland, OH 44195, USA)

  • Charles W. Felix

    (Tulare County Counsel, Visalia, CA 93291, USA)

  • Andrew J. Curtis

    (Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA)

  • Jayakrishnan Ajayakumar

    (Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA)

  • Jacqueline Curtis

    (Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA)

Abstract

Individuals experiencing homelessness represent a growing population in the United States. Air pollution exposure among individuals experiencing homelessness has not been quantified. Utilizing local knowledge mapping, we generated activity spaces for 62 individuals experiencing homelessness residing in a semi-rural county within the United States. Satellite derived measurements of fine particulate matter (PM2.5) were utilized to estimate annual exposure to air pollution experienced by our participants, as well as differences in the variation in estimated PM2.5 at the local scale compared with stationary monitor data and point location estimates for the same period. Spatial variation in exposure to PM2.5 was detected between participants at both the point and activity space level. Among all participants, annual median PM2.5 exposure was 16.22 μg/m 3 , exceeding the National Air Quality Standard. Local knowledge mapping represents a novel mechanism to capture mobility patterns and investigate exposure to air pollution within vulnerable populations. Reliance on stationary monitor data to estimate air pollution exposure may lead to exposure misclassification, particularly in rural and semirural regions where monitoring is limited.

Suggested Citation

  • Maeve G. MacMurdo & Karen B. Mulloy & Daniel A. Culver & Charles W. Felix & Andrew J. Curtis & Jayakrishnan Ajayakumar & Jacqueline Curtis, 2022. "Mapping Mobility: Utilizing Local-Knowledge-Derived Activity Space to Estimate Exposure to Ambient Air Pollution among Individuals Experiencing Unsheltered Homelessness," IJERPH, MDPI, vol. 19(10), pages 1-9, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:5842-:d:812991
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    References listed on IDEAS

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    1. Angelina L. DeMarco & Rebecca Hardenbrook & Jeff Rose & Daniel L. Mendoza, 2020. "Air Pollution-Related Health Impacts on Individuals Experiencing Homelessness: Environmental Justice and Health Vulnerability in Salt Lake County, Utah," IJERPH, MDPI, vol. 17(22), pages 1-16, November.
    2. Wenhua Yu & Yuming Guo & Liuhua Shi & Shanshan Li, 2020. "The association between long-term exposure to low-level PM2.5 and mortality in the state of Queensland, Australia: A modelling study with the difference-in-differences approach," PLOS Medicine, Public Library of Science, vol. 17(6), pages 1-19, June.
    3. Ryan Johnson & Kim Ramsey-White & Christina H. Fuller, 2016. "Socio-demographic Differences in Toxic Release Inventory Siting and Emissions in Metro Atlanta," IJERPH, MDPI, vol. 13(8), pages 1-12, July.
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