ArticleInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2019
Firearm assault injuries by residence and injury occurrence location.
Article in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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.
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Who cites it
6 citing papers in PubMed.
- Emergency Medical Services Encounters for Firearm Injuries - 858 Counties, United States, January 2019-September 2023.MMWR. Morbidity and mortality weekly report · 2024Article
- Article
- Article
- Improving Data Collection and Abstraction to Assess Health Equity in Trauma Care.Journal of medical systems · 2022Article
- Neighborhood disadvantage and firearm injury: does shooting location matter?Injury epidemiology · 2021Article
- Community-Level Social Processes and Firearm Shooting Events: A Multilevel Analysis.Journal of urban health : bulletin of the New York Academy of Medicine · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Research on spatial injury patterns is limited by a lack of precise injury occurrence location data. Using linked hospital and death records, we examined residence and injury locations for firearm assaults and homicides in or among residents of King County, Washington, USA from 1 January 2010 to 31 December 2014. In total, 670 injuries were identified, 586 with geocoded residence and injury locations. Three-quarters of injuries occurred outside the census tract where the victim resided. Median distance between locations was 3.9 miles, with victims 18-34 having the greatest distances between residence and injury location. 40 of 398 tracts had a ratio of injury incidents to injured residents of >1. Routine collection of injury location data and homelessness status could decrease misclassification and bias. Researchers should consider whether residential address is an appropriate proxy for injury location, based on data quality and their specific research question.
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