JOURNAL ARTICLE

The Impact of COVID-19 on Justice-Involved African Americans: A Follow-Up Study.

  • Published In: Urban Social Work, 2024, v. 8, n. 1. P. 20 1 of 3

  • Database: Sociology Source Ultimate 2 of 3

  • Authored By: Skinner-Osei, Precious 3 of 3

Abstract

Background: The COVID-19 pandemic introduced unprecedented challenges to individuals involved in the justice system, particularly African Americans, who have borne a significant burden of its consequences. To better understand the circumstance, this article presents follow-up data 2 years after the pandemic's onset from Skinner-Osei's 2023 study, "The Impact of COVID-19 on Justice-Involved African Americans." Methods: The study employed a phenomenological approach to examine the experiences of justice-involved African Americans in navigating challenges related to recidivism, probation/parole, housing, employment, and family during and after the pandemic. The data were analyzed using the reflexive thematic analysis process. Findings: The original study had 25 participants, and 12 were in the follow-up. The data obtained from both studies underscore the necessity of further research into the enduring impacts of COVID-19 on African Americans involved in the justice system. Conclusion: Given the disproportionate impact of the pandemic on this population, it is critical to explore the long-term ramifications of the virus and its aftermath so that we can better understand the multifaceted challenges facing African Americans in the justice system and develop evidence-based solutions that mitigate the impact of COVID-19 on this vulnerable group. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Urban Social Work. 2024/07, Vol. 8, Issue 1, p20
  • Document Type:Article
  • Subject Area:Ethnic and Cultural Studies
  • Publication Date:2024
  • ISSN:2474-8684
  • DOI:10.1891/USW-2023-0019
  • Accession Number:178356475
  • Copyright Statement:Copyright of Urban Social Work is the property of Springer Publishing Company, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.