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Background: Living near an incident of firearm violence can negatively impact youth, regardless of whether the violence is experienced firsthand. Inequities in household and neighborhood resources may affect the prevalence and consequences of exposure across racial/ethnic groups. Findings: Using data from the Future of Families and Child Wellbeing Study and the Gun Violence Archive, we estimate that approximately 1 in 4 adolescents in large US cities lived within 800 m (0.5 miles) of a past-year firearm homicide during 2014–17. Exposure risk decreased as household income and neighborhood collective efficacy increased, though stark racial/ethnic inequities remained. Across racial/ethnic groups, adolescents in poor households in moderate or high collective efficacy neighborhoods had a similar risk of past-year firearm homicide exposure as middle-to-high income adolescents in low collective efficacy neighborhoods. Conclusions: Empowering communities to build and leverage social ties may be as impactful for reducing firearm violence exposure as income supports. Comprehensive violence prevention efforts should include systems-level strategies that jointly strengthen family and community resources. [ABSTRACT FROM AUTHOR]

Understanding the burden of gun violence among youth is a public health imperative. While most estimates are based on direct and witnessed victimization, living nearby gun violence incidents may be consequential too. Yet detailed information about these broader experiences of violence is lacking. We use data on a population-based cohort of youth merged with incident-level data on deadly gun violence to assess the prevalence and intensity of community exposure to gun homicides across cross-classified categories of exposure distance and recency, overall and by race/ethnicity, household poverty, and neighborhood disadvantage. In total, 2–18% of youth resided within 600 m of a gun homicide occurring in the past 14–365 days. These percentages were 3–25% for incidents within 800 m and 5–37% for those within a 1300-m radius. Black and Latinx youth were 3–7 times more likely, depending on the exposure radius, to experience a past-year gun homicide than white youth and on average experienced incidents more recently and closer to home. Household poverty contributed to exposure inequities, but disproportionate residence in disadvantaged neighborhoods was especially consequential: for all racial/ethnic groups, the difference in the probability of exposure between youth in low vs high poverty households was approximately 5–10 percentage points, while the difference between youth residing in low vs high disadvantage neighborhoods was approximately 50 percentage points. Given well-documented consequences of gun violence exposure on health, these more comprehensive estimates underscore the importance of supportive strategies not only for individual victims but entire communities in the aftermath of gun violence. [ABSTRACT FROM AUTHOR]

Unemployment and violence both increased during the coronavirus pandemic in the United States (US), but no studies to our knowledge have examined their association. Using data for 16 US cities from January 2018 to July 2020, we estimated the association between acute changes in unemployment during the coronavirus pandemic and violent and acquisitive crime. We used negative binomial regression models and parametric g-computation to estimate average differences in crime incidents if the highest and lowest levels of unemployment observed in each city had been sustained across the exposure period (March–July 2020), compared with observed unemployment in each city-month. During the pandemic, the percentage of the adult population who were unemployed was 8.1 percentage points higher than expected, on average. Increases in unemployment were associated with increases in firearm violence and homicide. For example, we estimated an average increase of 3.3 firearm violence incidents (95% CI: − 0.2, 6.7) and 2.0 homicides (95% CI: − 0.2, 3.9) per city-month from March to July 2020 if all cities experienced their highest versus observed level of unemployment. There was no association between unemployment and aggravated assault or any acquisitive crime. Findings suggest that the sharp rise in unemployment during the pandemic may have contributed to increases in firearm violence and homicide, but not other crime. Additional research is needed on mechanisms of association, generalizability, and modifying factors. [ABSTRACT FROM AUTHOR]

Violent crime increased and most property crime decreased in many United States (US) cities during the coronavirus pandemic. Using negative binomial regressions, we examined the association between physical distancing (a central coronavirus containment strategy) and crime within 16 large cities (in 12 US states and the District of Columbia) through July 2020. Physical distancing was measured with aggregated smartphone data and defined as the average change in the percentage of the population staying completely at home. Outcome data were obtained from the Gun Violence Archive and city open data portals. In multivariable models, increases in the percentage of the population staying home were associated with decreases in reported incidents of aggravated assault, interpersonal firearm violence, theft, rape, and robbery, and increases in arson, burglary, and motor vehicle theft. Results suggest that changes in the frequency of interpersonal interactions affected crime during the coronavirus pandemic. More research is needed on the specificity of these assocations and their underlying mechanisms. [ABSTRACT FROM AUTHOR]

Background: Firearm violence is a significant public health problem in the United States. A surge in firearm purchasing following the onset of the coronavirus pandemic may have contributed to an increase in firearm violence. We sought to estimate the state-level association between firearm purchasing and interpersonal firearm violence during the pandemic. Methods: Cross-sectional study of the 48 contiguous states and the District of Columbia from January 2018 through July 2020. Data were obtained from the National Instant Criminal Background Check System (a proxy for firearm purchasing) and the Gun Violence Archive. Using negative binomial regression models, we estimated the association between cumulative excess firearm purchases in March through July 2020 (measured as the difference between observed rates and those expected from autoregressive integrated moving average models) and injuries (including nonfatal and fatal) from intentional, interpersonal firearm violence (non-domestic and domestic violence). Results: We estimated that there were 4.3 million excess firearm purchases nationally from March through July 2020 and a total of 4075 more firearm injuries than expected from April through July. We found no relationship between state-level excess purchasing and non-domestic firearm violence, e.g., each excess purchase per 100 population was associated with a rate ratio (RR) of firearm injury from non-domestic violence of 0.76 (95% CI: 0.50–1.02) in April; 0.99 (95% CI: 0.72–1.25) in May; 1.10 (95% CI: 0.93–1.32) in June; and 0.98 (95% CI: 0.85–1.12) in July. Excess firearm purchasing within states was associated with an increase in firearm injuries from domestic violence in April (RR: 2.60; 95% CI: 1.32–5.93) and May (RR: 1.79; 95% CI: 1.19–2.91), though estimates were sensitive to model specification. Conclusions: Nationwide, firearm purchasing and firearm violence increased substantially during the first months of the coronavirus pandemic. At the state level, the magnitude of the increase in purchasing was not associated with the magnitude of the increase in firearm violence. Increases in purchasing may have contributed to additional firearm injuries from domestic violence in April and May. Results suggest much of the rise in firearm violence during our study period was attributable to other factors, indicating a need for additional research. [ABSTRACT FROM AUTHOR]

Among youth 15 to 24 years of age, homicide and nonfatal shootings are the leading causes of mortality and morbidity. Urban youth's attitudes and perceptions about the use of gun violence to resolve conflict present a major barrier to efforts to reduce gun homicides and nonfatal shootings. The current investigation extends the existing literature on attitudes toward guns and shootings among high-risk youth ages 18 to 24 by measuring perceived norms and viewpoints regarding gun violence in two analogous Baltimore City neighborhoods pre-implementation and 1-year post-implementation of the Safe Streets intervention (adapted from the CeaseFire/Cure Violence intervention). The Safe Streets intervention is designed for communities with high rates of gun violence and utilizes outreach workers to identify and build trusting relationships with youth ages 15 to 24 who are at greatest risk of being involved in gun violence. The outreach workers also position themselves in the community so that they can rapidly intervene in disputes that have the potential to lead to gun violence. Chi-squared tests and exploratory structural equation modeling (ESEM) were used to examine changes in attitudes toward gun violence 1 year after the implementation of the Safe Streets intervention. There was a statistically significantly improvement in 43 % of the attitudes assessed in the intervention community post-intervention compared to 13 % of the attitudes in the control community. There was a statistically significant improvement in the violent attitudes toward personal conflict resolution scale after implementation of the intervention in both the intervention (b = -0.522, p < 0.001) and control community (b = -0.204, p < 0.032). Exposure to the intervention (e.g., seeing stop shooting signs in your neighborhood) was also associated with the nonviolent attitudes toward conflict scale. Overall, the study found greater improvement in attitudes toward violence in the intervention community following the implementation of the Safe Streets program. These findings offer promising insights into future community violence prevention efforts. [ABSTRACT FROM AUTHOR]