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Tragic, but not random: The social contagion of nonfatal gunshot injuries

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  • Papachristos, Andrew V.
  • Wildeman, Christopher
  • Roberto, Elizabeth

Abstract

This study investigates the concentration of nonfatal gunshot injuries within risky social networks. Using six years of data on gunshot victimization and arrests in Chicago, we reconstruct patterns of co-offending for the city and locate gunshot victims within these networks. Results indicate that 70 percent of all nonfatal gunshot victims during the observation period can be located in co-offending networks comprised of less than 6 percent of the city's population. Results from logistic regression models suggest that as an individual's exposure to gunshot victims increases, so too do that individual's odds of victimization. Furthermore, even small amounts of exposure can dramatically increase the odds of victimization. For instance, every 1 percent increase in exposure to gunshot victims in one's immediate network increases the odds of victimization by roughly 1.1 percent, holding all else constant. These observed associations are more pronounced for young minority males, and effects of exposure extend to indirect network ties at distances of two to three steps removed. These findings imply that the risk of gunshot victimization is more concentrated than previously thought, being concentrated in small and identifiable networks of individuals engaging in risky behavior, in this case criminal activity.

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  • Papachristos, Andrew V. & Wildeman, Christopher & Roberto, Elizabeth, 2015. "Tragic, but not random: The social contagion of nonfatal gunshot injuries," Social Science & Medicine, Elsevier, vol. 125(C), pages 139-150.
  • Handle: RePEc:eee:socmed:v:125:y:2015:i:c:p:139-150
    DOI: 10.1016/j.socscimed.2014.01.056
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    Cited by:

    1. Duxbury, Scott W, 2019. "Mediation and Moderation in Statistical Network Models," SocArXiv 9bs4u, Center for Open Science.
    2. Johnson, Blair T. & Sisti, Anthony & Bernstein, Mary & Chen, Kun & Hennessy, Emily A. & Acabchuk, Rebecca L. & Matos, Michaela, 2021. "Community-level factors and incidence of gun violence in the United States, 2014–2017," Social Science & Medicine, Elsevier, vol. 280(C).
    3. Ciomek, Alexandra M. & Braga, Anthony A. & Papachristos, Andrew V., 2020. "The influence of firearms trafficking on gunshot injuries in a co-offending network," Social Science & Medicine, Elsevier, vol. 259(C).
    4. O'Neill, Kathleen M. & Salazar, Michelle C. & Vega, Cecilio & Campbell, Anthony & Anderson, Elijah & Dodington, James, 2021. "“The cops didn't make it any better”: Perspectives on police and guns among survivors of gun violence," Social Science & Medicine, Elsevier, vol. 284(C).
    5. Kim, Jinho, 2018. "Beyond the trigger: The mental health consequences of in-home firearm access among children of gun owners," Social Science & Medicine, Elsevier, vol. 203(C), pages 51-59.
    6. Shani A. L. Buggs & Nicole D. Kravitz-Wirtz & Julia J. Lund, 2022. "Social and Structural Determinants of Community Firearm Violence and Community Trauma," The ANNALS of the American Academy of Political and Social Science, , vol. 704(1), pages 224-241, November.
    7. McCrea, Katherine Tyson & Richards, Maryse & Quimby, Dakari & Scott, Darrick & Davis, Lauren & Hart, Sotonye & Thomas, Andre & Hopson, Symora, 2019. "Understanding violence and developing resilience with African American youth in high-poverty, high-crime communities," Children and Youth Services Review, Elsevier, vol. 99(C), pages 296-307.
    8. Metzl, Jonathan M. & McKay, Tara & Piemonte, Jennifer L., 2021. "Structural competency and the future of firearm research," Social Science & Medicine, Elsevier, vol. 277(C).
    9. Roger D. Magarey & Christina M. Trexler, 2020. "Information: a missing component in understanding and mitigating social epidemics," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-11, December.

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