IDEAS home Printed from https://ideas.repec.org/a/taf/raagxx/v108y2018i6p1521-1536.html
   My bibliography  Save this article

Contextualizing Overdoses in Los Angeles's Skid Row between 2014 and 2016 by Leveraging the Spatial Knowledge of the Marginalized as a Resource

Author

Listed:
  • Andrew Curtis
  • Chaz Felix
  • Susanne Mitchell
  • Jayakrishnan Ajayakumar
  • Peter R. Kerndt

Abstract

Opioid drug overdoses in the United States have continued to rise since 2014. Overdoses are one of several interlinked health challenges faced by marginalized populations. Here we side with the argument that these populations can also be a valuable resource to address these challenges, and we use methods that can elevate this critical belief into real-world application. In this article, we use spatially inspired interviews from both marginalized and provider participants in the Los Angeles Skid Row to map out the microspaces of drug activity. The resulting map reveals a complex space in terms of drug types and associated social activities. These geonarratives reveal a nuanced space of locations, activities, and context—how these substances enter Skid Row, the associated violence, and the physical and emotional toll on the marginalized. We find both quantitative and qualitative support that the “street” community is complex, full of variation in terms of where people live, how they live, and the social fabric that has evolved. We suggest that these data can be used to reduce the structural violence often found in many “solutions” to the homeless and their problems. Instead we show that the marginalized could be used to provide a vital resource not only in terms of their knowledge and their communities but also in delivering medical care. We end by suggesting that this approach to data collection could evolve into an ongoing resource that could develop into a near-real-time tool to reduce overdose mortalities. Key Words: geonarrative, GIS, marginalized, overdose, Skid Row.

Suggested Citation

  • Andrew Curtis & Chaz Felix & Susanne Mitchell & Jayakrishnan Ajayakumar & Peter R. Kerndt, 2018. "Contextualizing Overdoses in Los Angeles's Skid Row between 2014 and 2016 by Leveraging the Spatial Knowledge of the Marginalized as a Resource," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 108(6), pages 1521-1536, November.
  • Handle: RePEc:taf:raagxx:v:108:y:2018:i:6:p:1521-1536
    DOI: 10.1080/24694452.2018.1471386
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24694452.2018.1471386
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/24694452.2018.1471386?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Md Amiruzzaman & Andrew Curtis & Ye Zhao & Suphanut Jamonnak & Xinyue Ye, 2021. "Classifying crime places by neighborhood visual appearance and police geonarratives: a machine learning approach," Journal of Computational Social Science, Springer, vol. 4(2), pages 813-837, November.
    2. Andrew Curtis & Robert Squires & Vanessa Rouzier & Jean William Pape & Jayakrishnan Ajayakumar & Sandra Bempah & Meer Taifur Alam & Md. Mahbubul Alam & Mohammed H. Rashid & Afsar Ali & John Glenn Morr, 2019. "Micro-Space Complexity and Context in the Space-Time Variation in Enteric Disease Risk for Three Informal Settlements of Port au Prince, Haiti," IJERPH, MDPI, vol. 16(5), pages 1-18, March.
    3. Andrew Curtis & Sandra Bempah & Jayakrishnan Ajayakumar & Dania Mofleh & Lorriane Odhiambo, 2018. "Spatial Video Health Risk Mapping in Informal Settlements: Correcting GPS Error," IJERPH, MDPI, vol. 16(1), pages 1-13, December.
    4. Sauer, Jeffery & Stewart, Kathleen, 2023. "Geographic information science and the United States opioid overdose crisis: A scoping review of methods, scales, and application areas," Social Science & Medicine, Elsevier, vol. 317(C).
    5. Suphanut Jamonnak & Deepshikha Bhati & Md Amiruzzaman & Ye Zhao & Xinyue Ye & Andrew Curtis, 2022. "VisualCommunity: a platform for archiving and studying communities," Journal of Computational Social Science, Springer, vol. 5(2), pages 1257-1279, November.
    6. Jared Durieux & Andrew Curtis & Melissa Mirka & Eric Jefferis & Chaz Felix & Baaba Essel, 2022. "An Exploration of Narcan as a Harm Reduction Strategy and User’s Attitudes toward Law Enforcement Involvement in Overdose Cases," IJERPH, MDPI, vol. 19(6), pages 1-13, March.

    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:taf:raagxx:v:108:y:2018:i:6:p:1521-1536. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/raag .

    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.