IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0260164.html
   My bibliography  Save this article

Community versus individual risk of SARS-CoV-2 infection in two municipalities of Louisiana, USA: An assessment of Area Deprivation Index (ADI) paired with seroprevalence data over time

Author

Listed:
  • Amy K Feehan
  • Kara D Denstel
  • Peter T Katzmarzyk
  • Cruz Velasco
  • Jeffrey H Burton
  • Eboni G Price-Haywood
  • Leonardo Seoane

Abstract

Objective: Determine whether an individual is at greater risk of severe acute respiratory distress syndrome coronavirus 2 (SARS-CoV-2) infection because of their community or their individual risk factors. Study design and setting: 4,752 records from two large prevalence studies in New Orleans and Baton Rouge, Louisiana were used to assess whether zip code tabulation areas (ZCTA)-level area deprivation index (ADI) or individual factors accounted for risk of infection. Logistic regression models assessed associations of individual-level demographic and socioeconomic factors and the zip code-level ADI with SARS-CoV-2 infection. Results: In the unadjusted model, there were increased odds of infection among participants residing in high versus low ADI (both cities) and high versus mid-level ADI (Baton Rouge only) zip codes. When individual-level covariates were included, the odds of infection remained higher only among Baton Rouge participants who resided in high versus mid-level ADI ZCTAs. Several individual factors contributed to infection risk. After adjustment for ADI, race and age (Baton Rouge) and race, marital status, household size, and comorbidities (New Orleans) were significant. Conclusions: While higher ADI was associated with higher risk of SARS-CoV-2 infection, individual-level participant characteristics accounted for a significant proportion of this association. Additionally, stage of the pandemic may affect individual risk factors for infection.

Suggested Citation

  • Amy K Feehan & Kara D Denstel & Peter T Katzmarzyk & Cruz Velasco & Jeffrey H Burton & Eboni G Price-Haywood & Leonardo Seoane, 2021. "Community versus individual risk of SARS-CoV-2 infection in two municipalities of Louisiana, USA: An assessment of Area Deprivation Index (ADI) paired with seroprevalence data over time," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-11, November.
  • Handle: RePEc:plo:pone00:0260164
    DOI: 10.1371/journal.pone.0260164
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0260164
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0260164&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0260164?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
    ---><---

    References listed on IDEAS

    as
    1. Madhav K. C. & Evrim Oral & Susanne Straif-Bourgeois & Ariane L Rung & Edward S Peters, 2020. "The effect of area deprivation on COVID-19 risk in Louisiana," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-12, December.
    2. McLaren John, 2021. "Racial Disparity in COVID-19 Deaths: Seeking Economic Roots with Census Data," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 21(3), pages 897-919, July.
    Full references (including those not matched with items on IDEAS)

    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. Brandily, Paul & Brébion, Clément & Briole, Simon & Khoury, Laura, 2021. "A poorly understood disease? The impact of COVID-19 on the income gradient in mortality over the course of the pandemic," European Economic Review, Elsevier, vol. 140(C).
    2. Taoufik Bouezmarni & Mohamed Doukali & Abderrahim Taamouti, 2023. "Copula-based estimation of health inequality measures with an application to COVID-19," University of East Anglia School of Economics Working Paper Series 2023-01, School of Economics, University of East Anglia, Norwich, UK..
    3. Astorquiza-Bustos, Bilver Adrian & Quintero-Peña, Jose Wilmar, 2023. "Who can work from home? A remote working index for an emerging economy," Telecommunications Policy, Elsevier, vol. 47(10).
    4. Graziella Bertocchi & Arcangelo Dimico, 2020. "COVID-19, Race, and Redlining," Department of Economics 0175, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    5. Johannes S. Kunz & Carol Propper, 2022. "Is Hospital Quality Predictive of Pandemic Deaths? Evidence from US Counties," Papers 2022-01, Centre for Health Economics, Monash University.
    6. Katherine Leggat-Barr & Noreen Goldman & Fumiya Uchikoshi, 2021. "COVID-19 risk factors and mortality among Native Americans," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(39), pages 1185-1218.
    7. Caitlin Brown & Martin Ravallion, 2023. "Inequality and Social Distancing during the Pandemic," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(3), pages 679-702, September.
    8. Ruchi Avtar & Rajashri Chakrabarti & Lindsay Meyerson & William Nober & Maxim L. Pinkovskiy, 2020. "The Affordable Care Act and the COVID-19 Pandemic: A Regression Discontinuity Analysis," Staff Reports 948, Federal Reserve Bank of New York.
    9. Bertocchi, Graziella & Dimico, Arcangelo, 2020. "COVID-19, race and redlining," QUCEH Working Paper Series 2020-06, Queen's University Belfast, Queen's University Centre for Economic History.
    10. Brandily, Paul & Brébion, Clément & Briole, Simon & Khoury, Laura, 2020. "A Poorly Understood Disease? The Unequal Distribution of Excess Mortality Due to COVID-19 Across French Municipalities," Discussion Paper Series in Economics 15/2020, Norwegian School of Economics, Department of Economics.
    11. Trang VoPham & Matthew D. Weaver & Gary Adamkiewicz & Jaime E. Hart, 2021. "Social Distancing Associations with COVID-19 Infection and Mortality Are Modified by Crowding and Socioeconomic Status," IJERPH, MDPI, vol. 18(9), pages 1-8, April.
    12. Almagro, Milena & Coven, Joshua & Gupta, Arpit & Orane-Hutchinson, Angelo, 2023. "Disparities in COVID-19 risk exposure: Evidence from geolocation data," Regional Science and Urban Economics, Elsevier, vol. 102(C).
    13. Joseph Benitez & Charles Courtemanche & Aaron Yelowitz, 2020. "Racial and Ethnic Disparities in COVID-19: Evidence from Six Large Cities," Journal of Economics, Race, and Policy, Springer, vol. 3(4), pages 243-261, December.
    14. Wichmann, Bruno & Wichmann, Roberta, 2022. "COVID-19 and Indigenous health in the Brazilian Amazon," Economic Modelling, Elsevier, vol. 115(C).
    15. Richard Florida & Andres Rodriguez-Pose & Michael Storper, 2020. "Cities in a Post-COVID World," Papers in Evolutionary Economic Geography (PEEG) 2041, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2020.
    16. R. Jason Faberman & Daniel Hartley, 2020. "The Relationship Between Race, Type of Work, and Covid-19 Infection Rates," Working Paper Series WP2020-18, Federal Reserve Bank of Chicago.
    17. Rui Li & Youqin Huang, 2023. "COVID-19 pandemic and minority health disparities in New York City: A spatial and temporal perspective," Environment and Planning B, , vol. 50(5), pages 1194-1211, June.
    18. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    19. Martin S. Eichenbaum & Sergio Rebelo & Mathias Trabandt, 2022. "Inequality in Life and Death," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 70(1), pages 68-104, March.
    20. Janine Aron & John Muellbauer, 2022. "Excess Mortality Versus COVID‐19 Death Rates: A Spatial Analysis of Socioeconomic Disparities and Political Allegiance Across U.S. States," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(2), pages 348-392, June.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0260164. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.