BACKGROUND: Mass shootings are common in the United States. They are the most visible form of firearm violence. Their effect on personal decisions to purchase firearms is not well-understood. OBJECTIVE: To determine changes in handgun acquisition patterns after the mass shootings in Newtown, Connecticut, in 2012 and San Bernardino, California, in 2015. DESIGN: Time-series analysis using seasonal autoregressive integrated moving-average (SARIMA) models. SETTING: California. POPULATION: Adults who acquired handguns between 2007 and 2016. MEASUREMENTS: Excess handgun acquisitions (defined as the difference between actual and expected acquisitions) in the 6-week and 12-week periods after each shooting, overall and within subgroups of acquirers. RESULTS: In the 6 weeks after the Newtown and San Bernardino shootings, there were 25 705 (95% prediction interval, 17 411 to 32 788) and 27 413 (prediction interval, 15 188 to 37 734) excess acquisitions, respectively, representing increases of 53% (95% CI, 30% to 80%) and 41% (CI, 19% to 68%) over expected volume. Large increases in acquisitions occurred among white and Hispanic persons, but not among black persons, and among persons with no record of having previously acquired a handgun. After the San Bernardino shootings, acquisition rates increased by 85% among residents of that city and adjacent neighborhoods, compared with 35% elsewhere in California. LIMITATIONS: The data relate to handguns in 1 state. The statistical analysis cannot establish causality. CONCLUSION: Large increases in handgun acquisitions occurred after these 2 mass shootings. The spikes were short-lived and accounted for less than 10% of annual handgun acquisitions statewide. Further research should examine whether repeated shocks of this kind lead to substantial increases in the prevalence of firearm ownership. PRIMARY FUNDING SOURCE: None.
BACKGROUND: Mass shootings are common in the United States. They are the most visible form of firearm violence. Their effect on personal decisions to purchase firearms is not well-understood. OBJECTIVE: To determine changes in handgun acquisition patterns after the mass shootings in Newtown, Connecticut, in 2012 and San Bernardino, California, in 2015. DESIGN: Time-series analysis using seasonal autoregressive integrated moving-average (SARIMA) models. SETTING: California. POPULATION: Adults who acquired handguns between 2007 and 2016. MEASUREMENTS: Excess handgun acquisitions (defined as the difference between actual and expected acquisitions) in the 6-week and 12-week periods after each shooting, overall and within subgroups of acquirers. RESULTS: In the 6 weeks after the Newtown and San Bernardino shootings, there were 25 705 (95% prediction interval, 17 411 to 32 788) and 27 413 (prediction interval, 15 188 to 37 734) excess acquisitions, respectively, representing increases of 53% (95% CI, 30% to 80%) and 41% (CI, 19% to 68%) over expected volume. Large increases in acquisitions occurred among white and Hispanic persons, but not among black persons, and among persons with no record of having previously acquired a handgun. After the San Bernardino shootings, acquisition rates increased by 85% among residents of that city and adjacent neighborhoods, compared with 35% elsewhere in California. LIMITATIONS: The data relate to handguns in 1 state. The statistical analysis cannot establish causality. CONCLUSION: Large increases in handgun acquisitions occurred after these 2 mass shootings. The spikes were short-lived and accounted for less than 10% of annual handgun acquisitions statewide. Further research should examine whether repeated shocks of this kind lead to substantial increases in the prevalence of firearm ownership. PRIMARY FUNDING SOURCE: None.
Authors: Maya Rossin-Slater; Molly Schnell; Hannes Schwandt; Sam Trejo; Lindsey Uniat Journal: Proc Natl Acad Sci U S A Date: 2020-09-08 Impact factor: 11.205
Authors: Julia P Schleimer; Christopher D McCort; Aaron B Shev; Veronica A Pear; Elizabeth Tomsich; Alaina De Biasi; Shani Buggs; Hannah S Laqueur; Garen J Wintemute Journal: Inj Epidemiol Date: 2021-07-05