Evidence map›Paper›PMID 40128917›Full record

ArticleInjury epidemiology2025

Spatial de-concentration of fatal and nonfatal firearm violence in Boston, MA, 2007-2021.

Faizah Shareef, Emma L Gause, Suzanne McLone, Erika Gebo, Jonathan Jay

Abstract read
In one paragraph

Article in Injury epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Faizah ShareefUniversity of California, San Diego, CA, USA.
Emma L GauseCenter for Climate and Health, Boston University School of Public Health, Boston, MA, USA.
Suzanne McLoneDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Erika GeboDepartment of Sociology & Criminal Justice, Suffolk University, Boston, MA, USA.
Jonathan JayDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA. jonjay@bu.edu.

Funding

Reducing violent injuries among American youthK01MD016956 · NIMHD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Jonathan Jay · 2022 to 2026
$642k
Department of Justice DOJ 2016-AJ-BX-0005NIMHD NIH HHS K01 MD016956NIMHD NIH HHS K01MD016956
6 · The paper itself

Abstract

backgroundIt is a "law" of criminology that urban crime chronically recurs at the same microplaces (i.e., street segments and intersections). An influential study found high concentrations of firearm violence at microplaces in Boston, MA, from 1980 to 2008. The current study assessed whether this strong spatial concentration has persisted. APPROACH: Fatal and nonfatal shooting incidents with one or more victims from January 2007 through September 2021 were included, obtained from the Boston Police Department. We matched shootings to the closest microplaces, i.e., intersections and street segments in Boston (n = 32,267). We operationalized spatial concentration as the probability of shootings occurring at the same microplace. We employed a case-only design, with shootings as the units of analysis; the outcome of interest was a binary indicator for whether another shooting in the dataset occurred at the same microplace in the past or future. We used log-linear regression to estimate this outcome as a function of study year.

resultsAnnual shootings decreased over the study period, except for a spike in 2020. Spatial concentration of shootings declined from 62% in 2007 to 55% in 2021. We estimated that spatial concentration declined by an average of 1.8% per year [95% CI (-1.1, -3.4), p < 0.001]. IMPLICATIONS: This declining trend in the spatial concentration of firearm violence has important implications for place-based interventions and underscores the need to monitor this trend over time. Social media, which reshapes social interactions and is linked to community violence, warrants further study as a potential cause.

Identifiers

PMID40128917
PMCPMC11931767

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.