Evidence map›Paper›PMID 37991606›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2023

Gun Violence on Walkable Routes to and from School: Recommendations for Policy and Practice.

Gia E Barboza-Salerno, Jacquelyn C A Meshelemiah

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Gia E Barboza-SalernoCollege of Public Health & College of Social Work, The Ohio State University, 352 Cunz Hall, 1841 Neil Avenue, Columbus, OH, 43210, USA. barboza-salerno.1@osu.edu.ORCID 0000-0002-4953-4148
Jacquelyn C A MeshelemiahCollege of Social Work, The Ohio State University, 325D Stillman Hall, 1947 North College Road, Columbus, 43210, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gun-related violence exposure is a significant public health problem for urban youth. Few studies have implemented methods to estimate the spatial influence of activity spaces on gun violence exposure constrained by the physical configuration of walkable street networks. The present research uses computational network and local indicators of spatial autocorrelation methods to explore gun violence exposure along the walkable streets near schools in Compton, California. Findings demonstrated strong evidence that gun violence is clustered at all distances along the pedestrian network and in proximity to Compton Unified School District (K-12) schools, reaching a maximum between 1.2 and 1.8 mi; thereafter the "attractiveness" of schools to gun violence was inhibiting. Almost all schools had at least one shooting within a 5-min walk (i.e., about 400 m); 37.8% of schools had an average shooting distance of less than 400 m; about 250 incidents occurred within 5 min of schools; and about 30 schools had a shooting within a 5-min walking distance. Determining the spatial extent of violence exposure in proximity to key activity spaces for youth, such as schools, has substantial implications for the health and wellbeing of youth living in violence-prone areas. The public health and legal implications of this study are discussed in context.

Indexed as

FirearmsGun ViolenceAdolescentHumansPolicySchoolsSpatial AnalysisViolenceComptonGun violence exposureSafe routes to schoolSchoolsWalkable streets

Identifiers

PMID37991606
PMCPMC10728395

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.