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Exploring the geography of suicide threats and suicide attempts: An application of Risk Terrain Modeling

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  • Lersch, Kim M.

Abstract

The purpose of this research is twofold: first, the spatial distribution of 911 emergency calls for service to the police for suicides in progress and threats of suicide in the City of Detroit, Michigan will be explored to determine whether these events exhibit different patterns of spatial clustering. Second, this research will explore the utility of Risk Terrain Modeling (RTM) to assist in our understanding of the locations of calls for service to the police related to suicide threats and suicides in progress. The results suggest that these events are different social phenomenon, both with respect to the spatial clustering of these events as well as qualitative differences in the environmental factors that may contribute to their occurrence.

Suggested Citation

  • Lersch, Kim M., 2020. "Exploring the geography of suicide threats and suicide attempts: An application of Risk Terrain Modeling," Social Science & Medicine, Elsevier, vol. 249(C).
    • Handle: RePEc:eee:socmed:v:249:y:2020:i:c:s0277953620300794
    DOI: 10.1016/j.socscimed.2020.112860
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    References listed on IDEAS

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    1. Hempstead, Katherine, 2006. "The geography of self-injury: Spatial patterns in attempted and completed suicide," Social Science & Medicine, Elsevier, vol. 62(12), pages 3186-3196, June.
    2. Lin, Chien-Yu & Hsu, Chia-Yueh & Gunnell, David & Chen, Ying-Yeh & Chang, Shu-Sen, 2019. "Spatial patterning, correlates, and inequality in suicide across 432 neighborhoods in Taipei City, Taiwan," Social Science & Medicine, Elsevier, vol. 222(C), pages 20-34.
    3. Ferdinand Gabriel Difurio & Willis Lewis, 2017. "A spatial analysis of suicide rates in Tennessee," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 44(12), pages 2325-2335, December.
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    Cited by:

    1. Ruth Benson & Jan Rigby & Christopher Brunsdon & Grace Cully & Lay San Too & Ella Arensman, 2022. "Quantitative Methods to Detect Suicide and Self-Harm Clusters: A Systematic Review," IJERPH, MDPI, vol. 19(9), pages 1-13, April.
    2. O'Connell, Katherine L. & Jacobson, Samantha V. & Ton, Andrew T. & Law, Keyne C., 2022. "Association between race and socioeconomic factors and suicide-related 911 call rate," Social Science & Medicine, Elsevier, vol. 306(C).
    3. Carter, Jeremy G. & Mohler, George & Raje, Rajeev & Chowdhury, Nahida & Pandey, Saurabh, 2021. "The Indianapolis harmspot policing experiment," Journal of Criminal Justice, Elsevier, vol. 74(C).

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