Modeling the movement of homicide by type to inform public health prevention efforts

April M. Zeoli, Sue Grady, Jesenia M. Pizarro, Chris Melde

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Objectives. We modeled the spatiotemporal movement of hotspot clusters of homicide by motive in Newark, New Jersey, to investigate whether different homicide types have different patterns of clustering and movement. Methods. We obtained homicide data from the Newark Police Department Homicide Unit's investigative files from 1997 through 2007 (n = 560). We geocoded the address at which each homicide victim was found and recorded the date of and the motive for the homicide. We used cluster detection software to model the spatiotemporal movement of statistically significant homicide clusters by motive, using census tract and month of occurrence as the spatial and temporal units of analysis. Results. Gang-motivated homicides showed evidence of clustering and diffusion through Newark. Additionally, gang-motivated homicide clusters overlapped to a degree with revenge and drug-motivated homicide clusters. Escalating dispute and nonintimate familial homicides clustered; however, there was no evidence of diffusion. Intimate partner and robbery homicides did not cluster. Conclusions. By tracking how homicide types diffuse through communities and determining which places have ongoing or emerging homicide problems by type, we can better inform the deployment of prevention and intervention efforts.

Original languageEnglish (US)
Pages (from-to)2035-2041
Number of pages7
JournalAmerican journal of public health
Volume105
Issue number10
DOIs
StatePublished - Oct 1 2015
Externally publishedYes

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

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