Systematic disparities in reporting on community firearm violence on local television news in Philadelphia, PA, USA.

Objective: To better understand how community firearm violence (CFV) is communicated to the public, we aimed to identify systematic differences between the characteristics of shooting victims and events covered on television news and all shootings in Philadelphia, PA, a city with escalating CFV incidence. Methods: We compiled a stratified sample of local television news clips covering shootings that occurred in Philadelphia aired on two randomly selected days per month from January-June 2021 (n = 154 clips). We coded the clips to determine demographic and geographic information about the shooting victims and events and then matched coded shootings with corresponding shootings in the Philadelphia police database. We compared characteristics of shooting victims and shooting event locations depicted in television clips (n = 62) with overall characteristics of shootings in Philadelphia during the study period (n = 1082). Results: Compared to all individuals shot, victims whose shootings were covered on local television news more likely to be children and more likely to be shot in a mass shooting. The average median household income of shooting locations featured on television was significantly higher than the median household income across all shooting locations ($60,302 for television shootings vs. $41,233 for all shootings; p = 0.002). Shootings featured on television occurred in areas with lower rates of income inequality and racialized economic segregation compared to all shooting locations. Conclusions: Television news outlets in Philadelphia systematically over-reported shootings of children, mass shootings, and shootings that occurred in neighborhoods with higher median household income, less socioeconomic inequality, and lower rates of racialized economic segregation.

Interstate Highway Connections and Traced Gun Transfers Between the 48 Contiguous United States.

Importance: Interstate gun flow has critical implications for gun violence prevention, as gun transfers across state lines can undermine local gun control policies. Objective: To identify possible gun trafficking routes along interstate highways in the US. Design, Setting, and Participants: This repeated-measures, ecological, cross-sectional study used data from the Bureau of Alcohol, Tobacco, Firearms and Explosives from January 1, 2010, to December 31, 2019, to examine associations between interstate connections via 13 highways that each spanned at least 1000 miles and interstate traced gun transfer counts for the 48 contiguous United States. Analyses were completed in November 2023. Exposures: Characteristics of the origin states and the transportation connections between the destination state and the origin states. Main Outcomes and Measures: The main outcome was the total count of guns used in crimes in each destination state per year that were originally purchased in the origin state. Bayesian conditional autoregressive Poisson models were used to examine associations between the count of guns used in crime traced to interstate purchases and interstate highway connections between origin and destination states. Results: Between 2010 and 2019, 526 801 guns used in crimes in the contiguous 48 states were traced to interstate purchases. Northbound gun transfers along the Interstate 95 corridor were greater than expected to New Jersey (incidence rate ratio [IRR], 2.80; 95% credible interval [CrI], 1.01-7.68) and Maryland (IRR, 3.07; 95% CrI, 1.09-8.61); transfers were similarly greater along Interstate 15 southbound, Interstate 25 southbound, Interstate 35 southbound, Interstate 75 northbound and southbound, Interstate 10 westbound, and Interstate 20 eastbound and westbound. Conclusions and Relevance: This repeated-measures, ecological, cross-sectional study identified that guns used in crimes traced to interstate purchases moved routinely between states along multiple major transportation routes. Interstate gun transfers are a major contributor to gun crime, injury, and death in the US. National policies and interstate cooperation are needed to address this issue.

Trends in police complaints and arrests on New York City subways, 2018 to 2023: an interrupted time-series analysis.

BACKGROUND: Public transportation use is influenced by perceptions of safety. Concerns related to crime on New York City (NYC) transit have risen following NYC's COVID-19 pandemic state of emergency declaration in 2020, leading to declines in subway ridership. In response, the most recent mayoral administration implemented a Subway Safety Plan in 2022. This study aimed to quantify the effects of the COVID-19 pandemic and the Subway Safety Plan on rates of complaints to and arrests by the New York City Police Department (NYPD) Transit Bureau. METHODS: Using publicly available data on complaints and arrests, we conducted interrupted time-series analyses using autoregressive integrated moving average models applied to monthly data for the period from September 2018 to August 2023. We estimated changes in the rates of complaints to and arrests by the NYPD Transit Bureau before and after: (1) the COVID-19 pandemic state of emergency declaration (i.e., March 2020), and (2) the announcement of the Subway Safety Plan (i.e., February 2022). We also examined trends by complaint and arrest type as well as changes in proportion of arrests by demographic and geographic groups. RESULTS: After the COVID-19 pandemic declaration, there was an 84% increase (i.e., an absolute increase of 6.07 per 1,000,000 riders, CI 1.42, 10.71) in complaints to the NYPD Transit Bureau, including a 99% increase (0.91 per 1,000,000 riders, CI 0.42, 1.41) in complaints for assault and a 125% increase in complaints for harassment (0.94 per 1,000,000 riders, CI 0.29, 1.60). Following the Subway Safety Plan there was an increase in the rate of arrests for harassment (0.004 per 1,000,000 riders, CI 0.001, 0.007), as well as decreases in the proportion of arrests for individuals racialized as White (- 0.02, CI - 0.04, - 0.01) and proportion of arrests in the borough of Manhattan (- 0.13, CI - 0.17, - 0.09). CONCLUSIONS: The increased rates of complaints to the NYPD Transit Bureau following the onset of the COVID-19 pandemic remained elevated following the enactment of the Subway Safety Plan. Further evaluation efforts can help identify effective means of promoting safety on public transportation.

From neighborhood to household: connections between neighborhood vacant and abandoned property and family violence.

Rates of family violence, including intimate partner violence (IPV) and child maltreatment, remain high in the U.S. and contribute to substantial health and economic costs. How neighborhood environment may influence family violence remains poorly understood. We examine the association between neighborhood vacant and abandoned properties and family violence, and the role collective efficacy may play in that relationship. Data were used from a longitudinal cohort of 218 maternal-child dyads in a southern U.S. city known for elevated rates of violence. Women were matched on their propensity score, for living in a neighborhood with elevated vacant and cited properties. Analyses accounting for clustering in neighborhood and matched groups were conducted to examine the association between neighborhood vacant and abandoned property and family violence, and the potential mediating relationship of collective efficacy. The likelihood of experiencing child maltreatment at 12-months of age was more than twice as high for children living in neighborhoods with a high vacant and cited property rates compared to women living in neighborhoods with fewer vacant and cited properties (OR=2.11, 95% CI=1.03, 4.31). Women living in neighborhoods characterized by high levels of vacant and cited properties were also more than twice as likely to report IPV (OR=2.52, 95% CI=1.21, 5.25). Associations remained mostly stable after controlling for key covariates. Collective efficacy did not act as a mediator in the relationship between vacant and cited properties and family violence. Reducing neighborhood vacant and cited properties may be an important target for interventions focused on reducing family violence.

Defining Spatial Epidemiology: A Systematic Review and Re-Orientation.

BACKGROUND: Spatial epidemiology has emerged as an important subfield of epidemiology over the past quarter century. We trace the origins of spatial epidemiology and note that its emergence coincided with technological developments in spatial statistics and geography. We hypothesize that spatial epidemiology makes important contributions to descriptive epidemiology and analytic risk factor studies, but is not yet aligned with epidemiology's current focus on causal inference and intervention. METHODS: We conducted a systematic review of studies indexed in PubMed that used the term "spatial epidemiolog*" in the title, abstract, or keywords. Excluded papers were not written in English, examined disease in animals, or reported biologic pathogen distribution only. We coded the included papers into five categories (review, demonstration of method, descriptive, analytic, intervention) and recorded the unit of analysis (i.e., individual vs. ecological). We additionally examined papers coded as analytic ecologic studies using scales for lexical content. RESULTS: A total of 482 papers met the inclusion criteria, including 76 reviews, 117 demonstrations of methods, 122 descriptive studies, 167 analytic studies, and 0 intervention studies. Demonstration studies were most common from 2006 to 2014, and analytic studies were most common after 2015. Among the analytic ecologic studies, those published in later years used more terms relevant to spatial statistics (IRR =1.3, 95%CI: 1.1, 1.5) and causal inference (IRR =1.1, 95%CI: 1.1, 1.2). CONCLUSIONS: Spatial epidemiology is an important and growing subfield of epidemiology. We suggest a re-orientation to help align its practice with the goals of contemporary epidemiology.

Individuals' travel to alcohol outlets: The fallacy of the local bar.

INTRODUCTION: Studies relating alcohol outlet density around homes to alcohol consumption produce mixed results. One possible explanation is that people travel to outlets away from their homes. This study aims to characterise individuals' trips to outlets, describe these trip locations relative to other activities and estimate associations between alcohol outlet density and trips to outlets. METHODS: This cross-sectional study used 2014-2018 household travel data from the Victoria Integrated Survey of Travel and Activity. We estimated the average change in the cumulative travel characteristics associated with each additional trip to bars and liquor stores, accounting for complex trips to multiple destinations. Logistic regression models estimated odds that individuals travelled to outlets in relation to outlet density in their home local government area (LGA). RESULTS: Among 23,512 respondents, 378 (1.6%) travelled to any bar and 79 (0.3%) any liquor store the survey day. Bar trips added 8.2 km (95% confidence interval [CI] 4.6, 11.8) and 18.1 min (95% CI 13.6, 22.6) to cumulative travel; 41% of attended bars were co-located in participants' home LGA. Greater bar and liquor store density within the home LGA were associated with overall trips to these outlet types. DISCUSSION AND CONCLUSIONS: Individuals travel beyond their residential area to bars, but travel to liquor stores closer to home. Bar and liquor store density within individuals' home LGA were associated with trips to outlets. Trips to local bars in near home comprised a minority of trips to bars in this sample. Studies of retail alcohol access should account for trips to bars away from home.

Impact and Equity of New York City's Tobacco Retail Reduction Initiative.

INTRODUCTION: High levels of tobacco retailer density in communities is associated with a range of tobacco use behaviors and is a key structural driver of tobacco-related disparities. This study evaluates the impacts of New York City's (NYC) novel policy intervention to cap tobacco retail licenses on tobacco retailer density levels and neighborhood inequities in tobacco access. METHODS: Using geocoded tobacco retail licensing data from 2010 to 2022, Bayesian conditional autoregressive Poisson panel models estimated the association between policy implementation in 2018 and retailer density per 1,000 population, controlling for neighborhood-level sociodemographic factors. Data were analyzed in 2023. RESULTS: The number of tobacco retail licenses decreased from 9,304 in 2010 to 5,107 in 2022, with the rate of decline significantly accelerating post-policy (-14·2% versus -34·2%). Policy effects were stronger in districts with lower income and greater proportions of non-Hispanic Black residents. CONCLUSIONS: NYC's policy substantially reduced tobacco retailer density and appeared to close longstanding patterns of inequity in tobacco access, serving as a rare example of a tobacco control policy that may effectively reduce tobacco-related disparities. This emergent approach to restructure tobacco retail in communities may reach populations that have not benefitted from traditional tobacco control policies and should be considered by other localities.

The Effect of Gun-Free School Zones on Crimes Committed with a Firearm in Saint Louis, Missouri.

There have been no peer-reviewed, quantitative research studies on the effectiveness of gun-free school zones. The objective of this study was to use a cross-sectional, multi-group controlled ecological study design in St. Louis, MO city that compared the counts of crimes committed with a firearm occurring in gun-free school zones compared to a contiguous area immediately surrounding the gun-free school zone (i.e., gun-allowing zones) in 2019. Gun-free school zones were measured and analyzed in two ways. In the primary analysis, boundaries of the tax parcels were used for each school as the beginning of the gun-free school zone. Results from this analysis, after adjustment for pair-matching and confounding, were null. In the secondary analysis, gun-free school zones were measured as beginning at the geographic centroid of the school's address. After adjusting for the pair-matching and confounding, this analysis showed 13.7% significantly fewer crimes committed with a firearm in gun-free school zones compared to gun-allowing zones. These results suggest that gun-free school zones are not being targeted for firearm crime in St. Louis, MO.

Assessing the Gun Violence Archive as an Epidemiologic Data Source for Community Firearm Violence in 4 US Cities.

Importance: Firearm injury is a major public health burden in the US, and yet there is no single, validated national data source to study community firearm violence, including firearm homicide and nonfatal shootings that result from interpersonal violence. Objective: To assess the validity of the Gun Violence Archive as a source of data on events of community firearm violence and to examine the characteristics of individuals injured in shootings. Design, Setting, and Participants: This cross-sectional observational study compared data on community firearm violence from the Gun Violence Archive with publicly available police department data, which were assumed to be the reference standard, between January 1, 2015, and December 31, 2020. Cities included in the study (Philadelphia, Pennsylvania; New York, New York; Chicago, Illinois; and Cincinnati, Ohio) had a population of greater than 300 000 people according to the 2020 US Census and had publicly available shooting data from the city police department. A large city was defined as having a population greater than or equal to 500 000 (ie, Philadelphia, New York City, and Chicago). Data analysis was performed in December 2022. Main Outcomes and Measures: Events of community firearm violence from the Gun Violence Archive were matched to police department shootings by date and location. The sensitivity and positive predictive value of the data were calculated (0.9-1.0, excellent; 0.8-0.9, good; 0.7-0.8, fair; 0.6-0.7, poor; and <0.6, failed). Results: A total of 26 679 and 32 588 shooting events were documented in the Gun Violence Archive and the police department databases, respectively, during the study period. The overall sensitivity of the Gun Violence Archive over the 6-year period was 81.1%, and the positive predictive value was 99.0%. The sensitivity steadily improved over time. Shootings involving multiple individuals and those involving women and children were less likely to be missing from the Gun Violence Archive, suggesting a systematic missingness. Conclusions and Relevance: These findings support the use of the Gun Violence Archive in large cities for research requiring its unique advantages (ie, spatial resolution, timeliness, and geographic coverage), albeit with caution regarding a more granular examination of epidemiology given its apparent bias toward shootings involving multiple persons and those involving women and children.

Suicide Following the COVID-19 Pandemic Outbreak: Variation Across Place, Over Time, and Across Sociodemographic Groups. A Systematic Integrative Review.

PURPOSE OF REVIEW: To systematically examine changes in suicide trends following the initial COVID-19 outbreak, focusing on geographical and temporal heterogeneity and on differences across sociodemographic subgroups. RECENT FINDINGS: Of 46 studies, 26 had low risk of bias. In general, suicides remained stable or decreased following the initial outbreak - however, suicide increases were detected during spring 2020 in Mexico, Nepal, India, Spain, and Hungary; and after summer 2020 in Japan. Trends were heterogeneous across sociodemographic groups (i.e., there were increases among racially minoritized individuals in the US, young adults and females across ages in Japan, older males in Brazil and Germany, and older adults across sex in China and Taiwan). Variations may be explained by differences in risk of COVID-19 contagion and death and in socioeconomic vulnerability. Monitoring geographical, temporal, and sociodemographic differences in suicide trends during the COVID-19 pandemic is critical to guide suicide prevention efforts.

Self-Report Survey Measures of Alcohol-Impaired Driving: A Systematic Review.

OBJECTIVE: Alcohol-impaired driving is a major contributor to motor vehicle crash deaths and injury. Many survey studies include self-report measures of alcohol-impaired driving, but no guidance is available to help researchers select from among available measures. The aims of this systematic review were to compile a list of measures that researchers have used previously, to compare performance between measures, and to identify the measures with highest validity and reliability. METHOD: Literature searches of PubMed, Scopus, and Web of Science identified studies that assessed alcohol-impaired driving behavior through self-report. The measures from each study and, if available, indices of reliability or validity were extracted. Using the measures' text, we developed 10 codes to group similar measures and compare them. For example, the "alcohol effects" code refers to driving while feeling dizzy or lightheaded after drinking, and the "drink count" code pertains to the number of drinks someone consumed before driving. For measures with multiple items, each item was categorized separately. RESULTS: After screening according to the eligibility criteria, 41 articles were included in the review. Thirteen articles reported on reliability. No articles reported on validity. The self-report measures with the highest reliability coefficients contained items from multiple codes, namely alcohol effects and drink count. CONCLUSIONS: Self-report alcohol-impaired driving measures with multiple items evaluating distinct aspects of alcohol-impaired driving show better reliability than measures using a single item. Future work investigating the validity of these measures is needed to determine the best approach for conducting self-report research in this area.

Trends in alcohol-impaired crashes in California, 2016 to 2021: A time series analysis for alcohol involvement and crash distribution among demographic subgroups.

BACKGROUND: In 2020, the COVID-19 pandemic and control measures changed alcohol consumption in the United States (US) and globally. Before the pandemic, alcohol-impaired crashes contributed to approximately one-third of all road traffic crash injuries and fatalities nationally. We examined the impact of the COVID-19 pandemic on crashes and examined differences in alcohol-involved crashes across various subgroups. METHODS: The University of California Berkeley Transportation Injury Mapping Systems provided information on all crashes reported to the California Highway Patrol from January 1, 2016 through December 31, 2021. Using autoregressive integrated moving average (ARIMA) models applied to weekly time series data, we estimated the effect of California's first mandatory statewide shelter-in-place order (March 19, 2020) on crashes per 100,000 population. We also examined crash subgroups according to crash severity, sex, race/ethnicity, age, and alcohol involvement. RESULTS: In California, the mean crash rate per week before the pandemic (January 1, 2016-March 18, 2020) was 9.5 crashes per 100,000 population, and 10.3% of those were alcohol-involved. After the initiation of the COVID-19 stay-at-home order, the percentage of crashes that were alcohol-involved rose to 12.7%. Overall, the crash rate across California decreased significantly (-4.6 crashes per 100,000; 95% CI: -5.3, -3.9), including across all examined subgroups, with the greatest decrease among the least severe crashes. However, there was a 2.3% absolute increase in the proportion of crashes that were alcohol-involved (0.02 crashes per 100,000; 95% CI: 0.02, 0.03). CONCLUSIONS: The initiation of a COVID-19 stay-at-home ordinance in California was associated with a substantial decrease in overall crash rates. While crashes have returned to pre-pandemic levels, alcohol-involved crashes remain elevated. The initiation of the stay-at-home order significantly increased alcohol-impaired driving, which has remained elevated.

Optimizing sobriety checkpoints to maximize public health benefits and minimize operational costs.

BACKGROUND: Sobriety checkpoints are a highly effective strategy to reduce alcohol-impaired driving, but they are used infrequently in the USA. Recent evidence from observational studies suggests that using optimized sobriety checkpoints-operating for shorter duration with fewer officers-can minimize operational costs without reducing public health benefits. The aim of this research was to conduct a pilot study to test whether police can feasibly implement optimized sobriety checkpoints and whether researchers can examine optimized sobriety checkpoints compared to usual practice within a non-randomized controlled trial study design. METHODS: The study site was the Town of Apex, NC. We worked with Apex Police Department to develop a schedule of sobriety checkpoints during calendar year 2021 that comprised 2 control checkpoints (conducted according to routine practice) and 4 optimized checkpoints staffed by fewer officers. Our primary operations aim was to test whether police can feasibly implement optimized sobriety checkpoints. Our primary research aim was to identify barriers and facilitators for conducting an intervention study of optimized sobriety checkpoints compared to usual practice. A secondary aim was to assess motorist support for sobriety checkpoints and momentary stress while passing through checkpoints. RESULTS: Apex PD conducted 5 of the 6 checkpoints and reported similar operational capabilities and results during the optimized checkpoints compared to control checkpoints. For example, a mean of 4 drivers were investigated for possibly driving while impaired at the optimized checkpoints, compared to 2 drivers at control checkpoints. The field team conducted intercept surveys among 112 motorists at 4 of the 6 checkpoints in the trial schedule. The survey response rate was 11% from among 1,045 motorists who passed through these checkpoints. Over 90% of respondents supported sobriety checkpoints, and momentary stress during checkpoints was greater for motorists who reported consuming any alcohol in the last 90 days compared to nondrinkers (OR = 6.7, 95%CI: 1.6, 27.1). CONCLUSIONS: Results of this study indicate the sobriety checkpoints can feasibly be optimized by municipal police departments, but it will be very difficult to assess the impacts of optimized checkpoints compared to usual practice using an experimental study design.

Casino accessibility and suicide: A county-level study of 50 US states, 2000 to 2016.

BACKGROUND AND AIMS: Suicide is the tenth leading cause of death in the United States (US). Research over many decades identifies that its etiology is complex, with risk factors operating in multiple domains. One such risk factor is gambling. Over the past three decades, exposure to gambling has increased dramatically in the United States. The aim of this study was to measure the magnitude of the association between casino density and absolute risk of suicide in US counties. DESIGN, SETTING, CASES: This spatial panel analysis used data for 3131 counties from 50 US states from 2000 to 2016, for an overall sample of 53 227 county-year units. Using Bayesian conditional autoregressive Poisson models, we measured incidence rate ratios and credible intervals for the association between the density per population of casinos and other gambling outlets and the incidence of suicide. MEASUREMENTS: The outcome of interest was counts of suicides. The main exposures of interest were casinos and other gambling outlets. FINDINGS: A total of 527 401 suicides occurred during the study period. On average, there was a mean of 1.3 casinos (SD = 9.1) and 1.4 other gambling venues (SD = 5.9) in each county-year. After controlling for confounding, the incidence rate ratio for casinos was 1.016, and the credible interval was between 1.010 and 1.023. CONCLUSIONS: The density of casinos and other gambling venues is positively associated with suicide mortality in the United States.

Neighborhood Built Environment and Sleep Health: A Longitudinal Study in Low-Income and Predominantly African-American Neighborhoods.

In the present study, we examined the associations between physical characteristics of neighborhoods and sleep health outcomes and assessed the mediating role of physical activity in these associations. A longitudinal study (the Pittsburgh Hill/Homewood Research on Eating, Shopping, and Health (PHRESH) Zzz Study; n = 1,051) was conducted in 2 low-income, predominately African-American neighborhoods in Pittsburgh, Pennsylvania, with repeated measures of neighborhood characteristics and sleep health outcomes from 2013 to 2018. Built environment measures of walkability, urban design, and neighborhood disorder were captured from systematic field observations. Sleep health outcomes included insufficient sleep, sleep duration, wakefulness after sleep onset, and sleep efficiency measured from 7-day actigraphy data. G-computations based on structural nested mean models were used to examine the total effects of each built environment feature, and causal mediation analyses were used to evaluate direct and indirect effects operating through physical activity. Urban design features were associated with decreased wakefulness after sleep onset (risk difference (RD) = -1.26, 95% confidence interval (CI): -4.31, -0.33). Neighborhood disorder (RD = -0.46, 95% CI: -0.86, -0.07) and crime rate (RD = -0.54, 95% CI: -0.93, -0.08) were negatively associated with sleep efficiency. Neighborhood walkability was not associated with sleep outcomes. We did not find a strong and consistent mediating role of physical activity. Interventions to improve sleep should target modifiable factors, including urban design and neighborhood disorder.

Unintended reductions in assaults near sobriety checkpoints: A longitudinal spatial analysis.

BACKGROUND: Sobriety checkpoints are a form of proactive policing in which law enforcement officers concentrate at a point on the roadway to systematically perform sobriety tests for all passing drivers. We investigated whether sobriety checkpoints unintentionally reduce assaults in surrounding areas. METHODS: Exposures of interest were sobriety checkpoints conducted by the Los Angeles Police Department between 2012 and 2017. Comparison units were matched 1:2 to sobriety checkpoints, selected as the same point location temporally lagged by exactly ±168 hours. The outcome was the density of police-reported assaults around the checkpoint location. RESULTS: In mixed effects regression analyses, assault incidence was lower when sobriety checkpoints were in operation compared to the same location ±168 hours [b= -0.0108, 95% CI: (-0.0203, -0.0012)]. CONCLUSIONS: Sobriety checkpoints were associated with decreased assault incidence, but estimated effect sizes were small and effects did not endure long after checkpoints ended.

Firearm assaults against US law enforcement officers in the line-of-duty: Associations with firearm ownership and state firearm laws.

Law enforcement officers are disproportionately affected by occupational injury. Firearm violence is the second leading cause of occupational mortality for this group behind motor vehicle crashes. In the general population, greater firearm ownership and weaker firearm laws are associated with increased firearm violence incidence. It is plausible that a high prevalence of firearms could also be associated with a greater incidence of LEO assault with a firearm. Using data from the Federal Bureau of Investigation's, Uniform Crime Reporting, Police Employee Data for 2006-2016, we conducted a panel analysis to estimate the association between state-level estimates of household firearm ownership and LEO assault with a firearm. We additionally examined if effect modification by universal background check law status was present. Higher state-level firearm ownership was associated with an increased odds of LEO assault with a firearm in multi-level models. This association was modified by universal background check law status. In states without a universal background check law, for every 1% increase in state-level firearm ownership per agency-year, there was a 12.4% increase in the odds of an LEO assault with a firearm when adjusting for confounders (OR:1.124; 95% CI:1.018,1.240). In states with a universal background check law, there was no association. Findings, though small in magnitude, suggest aggregate firearm ownership may contribute to LEO assault with a firearm in states without a universal background check law. Future research to prevent LEO assault with a firearm should combine measures to address high rates of firearm ownership with other evidence-based prevention strategies.

Historical redlining and the epidemiology of present-day firearm violence in the United States: A multi-city analysis.

Firearm violence is a major cause of morbidity, mortality, and racial health disparities in the United States. Previous studies have identified associations between historically racist housing discrimination (i.e., redlining practices) and firearm violence; however, these studies generally have been limited to a single city and have yet to provide sufficient evidence through which to determine the extent and dynamics of the impact of this relationship across the country. The aim of our study was (1) to estimate the association of historical redlining on both violent and firearm death across the country in nested models; and (2) to examine spatial non-stationarity to determine whether the impact of historical redlining on violent and firearm death was the same across the U.S. We used multilevel Bayesian conditional autoregressive Poisson models to determine the relationship between redlining as illustrated through Home Owners' Loan Corporation maps and 2019 violent and firearm deaths at the ZIP code-level nested within 21 cities across the U.S. We found that at the ZIP code level, there was a dose-responsive relationship between HOLC grading and the incidence of present-day firearm deaths. In general, redlined ZIP codes had higher relative incidence of firearm deaths. Associations were not stable across cities. For example, associations were relatively stronger in Baltimore, MD and weaker in Los Angeles, CA. This research reinforces the findings of previous studies examining the impact of redlining on firearm death across the extent of the entire country in 21 cities and claim that HOLC grades are associated with present-day violence.

Neighborhood Blighted Property Removal and 311 Calls for Non-Emergency Services: A Test of a Marker of Social Control.

Many studies have demonstrated that collective efficacy is associated with positive health outcomes, lower crime, and violence in urban communities, and residents' emotional connection to their community. Remediation of blighted properties has been theoretically linked to increases in collective efficacy. The purpose of this study was to examine the impact of blighted property remediation on city non-emergency 311 calls for public incivilities and deterioration, as potential markers of collective efficacy. We used a quasi-experimental design to test whether 311 calls for service changed around remediated vacant lots in New Orleans, Louisiana, United States, many of which were left vacant after Hurricane Katrina in 2005. In six city neighborhoods eligible for blighted property remediation as part of a city program, 203 treated vacant lots were matched 1:3 without replacement to control lots that were eligible for but did not receive treatment. This yielded a total of 812 vacant lots partitioned within 48 months, or 38,976 lot-months. Controls were in the same New Orleans neighborhoods as their matched treatment lots but were at least 250 feet away to minimize contamination. Overall difference-in-differences models detected postintervention declines in calls related to dumping and garbage, and slight but mostly non-significant changes in calls between intervention and control lots in all but calls for dumping and vehicles. Blighted property remediation may have an impact on dumping and garbage, which is important. Despite being geographically specific, low-cost and longitudinal, the nature of 311 calls and structural and historic factors at play in both the concentration of vacant properties in communities and residents' willingness to call must be considered. Further analyses of changes in 311 data and additional qualitative inquiry are warranted to more fully determine the utility of these data.