Table 2.
Association Between Cumulative Excess Firearm Purchasing and Interpersonal Firearm Violence, 2018–2020
| Unadjusted | Adjusted | |||||
|---|---|---|---|---|---|---|
| RR | 95% CI | RR | 95% CI | |||
| Non-DV-related firearm violencea | ||||||
| 1 excess firearm purchase per 100 population | ||||||
| April | 0.81 | 0.63 | 1.01 | 0.76 | 0.50 | 1.02 |
| May | 1.04 | 0.88 | 1.22 | 0.99 | 0.72 | 1.25 |
| June | 1.17 | 1.00 | 1.35 | 1.10 | 0.93 | 1.32 |
| July | 1.14 | 1.03 | 1.25 | 0.98 | 0.85 | 1.12 |
| DV-related firearm violenceb | ||||||
| 1 excess firearm purchase per 100 population | ||||||
| April | 1.66 | 0.94 | 3.00 | 2.60 | 1.32 | 5.93 |
| May | 1.47 | 1.14 | 1.92 | 1.79 | 1.19 | 2.91 |
| June | 1.21 | 0.90 | 1.70 | 1.03 | 0.66 | 1.52 |
| July | 1.09 | 0.94 | 1.29 | 0.89 | 0.66 | 1.12 |
Results are from negative binomial regression models with the log of the population as an offset. All models include indicators for states, year, and month
aThe outcome is counts of non-domestic violence-related firearm injuries (nonfatal and fatal). Adjusted estimates are from a model that additionally includes: a pre-post dummy for March 2020, COVID-19 cases and deaths, mobility, unemployment, baseline firearm purchasing rates, police violence during the George Floyd protests, stay-at-home orders, and average temperature
bThe outcome is counts of domestic violence-related firearm injuries (nonfatal and fatal). Adjusted estimates are from a model that additionally includes: a pre-post dummy for March 2020, COVID-19 cases and deaths, mobility, unemployment, baseline firearm purchasing rates, and stay-at-home orders
DV domestic violence, RR rate ratio, CI confidence interval