Evidence map›Paper›PMID 39302344›Full record

ArticleJMIR public health and surveillance2024

Public Mass Shootings: Counterfactual Trend Analysis of the Federal Assault Weapons Ban.

Alex Lars Lundberg, James Alan Fox, Hassan Mohammad, Maryann Mason, Doreen Salina, David Victorson, Ruben Parra-Cardona, Lori Ann Post

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Alex Lars LundbergBuehler Center for Health Policy & Economics, Feinberg School of Medicine, Northwestern University, 9-933 Rubloff Building, 420 E Superior St, Chicago, IL, 60611, United States, 1 312-503-4559.ORCID 0000-0002-9743-8441
James Alan FoxCriminology, Law and Public Policy, Northeastern University, New York, NY, United States.ORCID 0000-0002-7406-7895
Hassan MohammadBuehler Center for Health Policy & Economics, Feinberg School of Medicine, Northwestern University, 9-933 Rubloff Building, 420 E Superior St, Chicago, IL, 60611, United States, 1 312-503-4559.ORCID 0000-0001-7808-3633
Maryann MasonBuehler Center for Health Policy & Economics, Feinberg School of Medicine, Northwestern University, 9-933 Rubloff Building, 420 E Superior St, Chicago, IL, 60611, United States, 1 312-503-4559.ORCID 0000-0001-6524-1532
Doreen SalinaDepartment of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States, United States.ORCID 0000-0002-6399-3578
David VictorsonMedical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0002-3530-8633
Ruben Parra-CardonaSteve Hicks School of Social Work, University of Texas at Austin, Austin, TX, United States.ORCID 0000-0003-0250-1012
Lori Ann PostBuehler Center for Health Policy & Economics, Feinberg School of Medicine, Northwestern University, 9-933 Rubloff Building, 420 E Superior St, Chicago, IL, 60611, United States, 1 312-503-4559.ORCID 0000-0002-6261-3254

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Assault weapon and large-capacity magazine bans are potential tools for policy makers to prevent public mass shootings. However, the efficacy of these bans is a continual source of debate. In an earlier study, we estimated the impact of the Federal Assault Weapons Ban (FAWB) on the number of public mass shooting events in the United States. This study provides an updated assessment with 3 additional years of firearm surveillance data to characterize the longer-term effects. Objective: This study aims to estimate the impact of the FAWB on trends in public mass shootings from 1966 to 2022. Methods: We used linear regression to estimate the impact of the FAWB on the 4-year simple moving average of annual public mass shootings, defined by events with 4 or more deaths in 24 hours, not including the perpetrator. The study period spans 1966 to 2022. The model includes indicator variables for both the FAWB period (1995-2004) and the period after its removal (2005-2022). These indicators were interacted with a linear time trend. Estimates were controlled for the national homicide rate. After estimation, the model provided counterfactual estimates of public mass shootings if the FAWB was never imposed and if the FAWB remained in place. Results: The overall upward trajectory in the number of public mass shootings substantially fell while the FAWB was in place. These trends are specific to events in which the perpetrator used an assault weapon or large-capacity magazine. Point estimates suggest the FAWB prevented up to 5 public mass shootings while the ban was active. A continuation of the FAWB and large-capacity magazine ban would have prevented up to 38 public mass shootings, but the CIs become wider as time moves further away from the period of the FAWB. Conclusions: The FAWB, which included a ban on large-capacity magazines, was associated with fewer public mass shooting events, fatalities, and nonfatal gun injuries. Gun control legislation is an important public health tool in the prevention of public mass shootings.

Indexed as

FirearmsMass Casualty IncidentsHomicideHumansMass Shooting EventsUnited StatesViolenceWeaponsWounds, Gunshotassault weaponsefficacyFAWBfederal assault weapons banfirearmsgungun controlgun injuriesgun injurygun policygunshealth informaticshealth policyhomicideinformation seeking behaviorlarge-capacity magazineLCMlinear regressionpreventionpublic healthpublic mass shootingsshootingshootingssurveillanceweaponweapons

Identifiers

PMID39302344
PMCPMC11429070

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.