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Posts tagged covid-19
The increase in motor vehicle theft in NSW up to March 2023

By Alana Cook

Over the past two decades, there has been a long-term decline in motor vehicle theft. Stolen vehicle numbers reached an historic low in September 2021 following two COVID-19 lockdowns, steadily increasing since then. In March 2023 the number of vehicles stolen in NSW was higher than any month in the previous six years and increased 21.3% year-on-year. This paper considers the increase in motor vehicle theft up to March 2023 focusing on where the increase is most pronounced, which vehicles are affected, and who appears to be responsible. Key features of the recent increase in incidents of motor vehicle theft include: • The increase in vehicle theft is not uniform across NSW. In a number of regional locations vehicle theft has shown strong growth and is now much higher than at any point in previous five years. This applies to New England and North-West, Richmond-Tweed, Far West and Orana, Mid North Coast, and Central West. In New England and North West, for instance, vehicle theft was 67% higher in the year to March 2023 compared with five years earlier and the number of vehicles stolen in March 2023 (n=91) was the highest since records began in 1995. • This contrasts with the pattern of vehicle theft in other parts of NSW, particularly Greater Sydney, where the volume of vehicles stolen still remains lower than prior to the pandemic. In these locations, increases seem to simply reflect recovery from the COVID-related crime fall. • Vehicles stolen in Regional NSW are more likely to be recovered than vehicles stolen in Greater Sydney. This suggests motor vehicle theft in regional locations may be more likely to be conducted opportunistically for joyriding and transport purposes. • Young people appear to be responsible for the increase in vehicle theft in Regional NSW with a 179% increase in legal actions against this group over the five years to March 2023. A significant, but smaller increase in young people proceeded against in Greater Sydney was also observed (up 52%). • Theft patterns vary by vehicle make and year of manufacture. In the year to March 2023: š The most frequently stolen vehicles were manufactured by Toyota, Holden, and Ford, all of which are very common vehicles. š The vehicle makes with the highest rate of theft were Holdens, Jeeps, and Land Rovers. š Common vehicle makes with the largest percentage increase in theft in the five years to March 2023 were Kias, Jeeps, Isuzus, Land Rovers, and Volkswagens. š Older vehicles are much more susceptible to theft than recent models. • The recent increase in vehicle theft is at least partially a bounce-back from the COVID-driven crime declines of 2020 and 2021 as pandemic restrictions eased. Another factor, however, particularly in certain regional communities, may be associated with reports of social media posts encouraging vehicle theft on the platform TikTok. 

(Bureau Brief No. 166). 

Sydney: NSW Bureau of Crime Statistics and Research 2023. 11p

The rising cost of retail theft? Trends in steal from retail to June 2023

By Alana Cook

As with many property crimes, incidents of retail theft fell significantly during the COVID-19 pandemic. Since October 2021, however, retail theft offences have been steadily increasing, up 47.5% year-on-year to June 2023. This paper considers the increase in retail theft up to June 2023 focusing on the regions where retail theft is increasing, what items is being stolen and from where, and who appears to be responsible. Findings show: • The sharp increase in retail theft following the removal of pandemic related restrictions has brought retail theft volumes back to equivalence with pre-pandemic figures in both Greater Sydney and Regional NSW. The absence of an increase in theft reports beyond what was reported prior to the pandemic suggests the upward trend reflects a return to pre-pandemic offending levels. The trend does not support emerging external factors, such as the cost-of-living crisis, driving an increase in this offence. • The most frequently reported stolen item in retail theft is liquor, including bourbon, whiskey, and vodka (stolen in 37% of incidents), followed by clothing (22%). Retail theft of personal items, such as perfume and cosmetics, has declined in the past five years (stolen in 13% of incidents). • Locations recording the biggest increase in steal from retail incidents over the past five years are licenced premises and general wholesalers. Department or clothing stores and chemists have reported the largest decreases. • $440 was the average value of items stolen in retail theft incidents in 2022/23. • Almost half of all retail theft offenders are aged 30 to 39 years but after accounting for population, young people aged 14 to 17 years had the highest rate of involvement with NSW Police.

(Bureau Brief No. 168). 

Sydney: NSW Bureau of Crime Statistics and Research 2023. 10p.

Household occupancy and burglary: A case study using COVID-19 restrictions 

By Michael J. Frith  , Kate J. Bowers  , Shane D. Johnson 

Introduction: In response to COVID-19, governments imposed various restrictions on movement and activities. According to the routine activity perspective, these should alter where crime occurs. For burglary, greater household occupancy should increase guardianship against residential burglaries, particularly during the day considering factors such as working from home. Conversely, there should be less eyes on the street to protect against non-residential burglaries. Methods: In this paper, we test these expectations using a spatio-temporal model with crime and Google Community Mobility data. Results: As expected, burglary declined during the pandemic and restrictions. Different types of burglary were, however, affected differently but largely consistent with theoretical expectation. Residential and attempted residential burglaries both decreased significantly. This was particularly the case during the day for completed residential burglaries. Moreover, while changes were coincident with the timing and relaxation of restrictions, they were better explained by fluctuations in household occupancy. However, while there were significant decreases in non-residential and attempted non-residential burglary, these did not appear to be related to changes to activity patterns, but rather the lockdown phase. Conclusions: From a theoretical perspective, the results generally provide further support for routine activity perspective. From a practical perspective, they suggest considerations for anticipating future burglary trends 

Journal of Criminal Justice, v. 82, 2022

The Effect of COVID‑19 Restrictions on Routine Activities and Online Crime 

By Shane D. Johnson and  Manja Nikolovska

Objectives Routine activity theory suggests that levels of crime are affected by peoples’ activity patterns. Here, we examine if, through their impact on people’s on- and off-line activities, COVID-19 restriction affected fraud committed on- and off-line during the pandemic. Our expectation was that levels of online offending would closely follow changes to mobility and online activity—with crime increasing as restrictions were imposed (and online activity increased) and declining as they were relaxed. For doorstep fraud, which has a different opportunity structure, our expectation was that the reverse would be true. Method COVID-19 restrictions systematically disrupted people’s activity patterns, creating quasi-experimental conditions well-suited to testing the effects of “interventions” on crime. We exploit those conditions using ARIMA time series models and UK data for online shopping fraud, hacking, doorstep fraud, online sales, and mobility to test hypotheses. Doorstep fraud is modelled as a non-equivalent dependent variable, allowing us to test whether findings were selective and in line with theoretical expectations. Results After controlling for other factors, levels of crime committed online were positively associated with monthly variation in online activities and negatively associated with monthly variation in mobility. In contrast, and as expected, monthly variation in doorstep fraud was positively associated with changes in mobility. Conclusions We find evidence consistent with routine activity theory, suggesting that disruptions to people’s daily activity patterns afect levels of crime committed both on- and off-line. The theoretical implications of the findings, and the need to develop a better evidence base about what works to reduce online crime, are discussed. 

Journal of Quantitative Criminology, 2022.

Fraud and its relationship to pandemics and economic crises: From Spanish flu to COVID-19

By Michael Levi and Russell G Smith

This report seeks to draw out the common characteristics of frauds associated with pandemics, and to identify any risks unique to pandemics and financial crises, beginning with the Spanish flu pandemic of 1918, as the closest to COVID-19 in the modern era. It summarises the general influence of the internet or remote intrusions on contemporary frauds and allied corporate/ organised crimes against individuals, businesses and government, using plausibly reliable data from Australia and the United Kingdom as indicative of more general trends. The report identifies some novel crime types and methodologies arising during the COVID-19 pandemic of 2020 that were not seen in previous pandemics. These changes may result from public health measures taken in response to COVID-19, the current state of technologies and the activities of law enforcement and regulatory guardians. The report notes that many frauds occur whatever the state of the economy, but that some specific frauds occur during pandemics, especially online fraud. Similarly, some previously occurring frauds are revealed by economic crises, while frauds arising from and causing insolvencies are stimulated by economic crises. The report concludes with a discussion of the policy implications for prevention, resilience and for private and public policing and criminal justice in Australia. It stresses the need for plans for future pandemics and economic crises to include provisions for better early monitoring and control of fraud and procurement corruption. Research Report no. 19.

Canberra: Australian Institute of Criminology, 2021. 74p.

The impact of the COVID-19 pandemic on police recorded domestic abuse: Empirical evidence from seven English police forces

By Katrin Hohl

The COVID-19 pandemic and associated lockdowns have provided an unprecedented opportunity to study how such situational factors affect police recorded domestic abuse. This article presents findings from a large, representative study of the effect of the introduction and lifting of lockdowns on the volume and nature of domestic abuse recorded by seven English police forces within the first 12 months of the pandemic. The results suggest that lockdowns and the pandemic context did not create the domestic abuse crisis, and that the crisis does not go away when lockdown restrictions lift. Lockdowns interact with and amplify underlying patterns of domestic abuse. Notable differences between police forces suggest that local contexts and local police force practices play a role, with implications beyond pandemic contexts.

London: Criminology & Criminal Justice, 2023, 23p.

Daylight Robbery: Uncovering the true cost of public sector fraud in the age of COVID-19

By Richard Walton, Sophia Falkner and Benjamin Barnard

Research by Policy Exchange finds that fraud and error during the COVID-19 crisis will cost the UK Government in the region of £4.6 billion. The lower bound for the cost of fraud in this crisis is £1.3 billion and the upper bound is £7.9 billion, in light of total projected expenditure of £154.3 billion by the Government (excluding additional expenditure announced in the 8th July 2020 Economic Update). The true value may be closer to the upper bound, due to the higher than usual levels of fraud that normally accompany disaster management.

London: Policy Exchange, 2020. 78p.

Initial evidence on the relationship between the coronavirus pandemic and crime in the United States

By Matthew P. J. Ashby

The COVID-19 pandemic led to substantial changes in the daily activities of millions of Americans, with many businesses and schools closed, public events cancelled and states introducing stay-at-home orders. This article used police-recorded open crime data to understand how the frequency of common types of crime changed in 16 large cities across the United States in the early months of 2020. Seasonal auto-regressive integrated moving average (SARIMA) models of crime in previous years were used to forecast the expected frequency of crime in 2020 in the absence of the pandemic. The forecasts from these models were then compared to the actual frequency of crime during the early months of the pandemic. There were no significant changes in the frequency of serious assaults in public or (contrary to the concerns of policy makers) any change to the frequency of serious assaults in residences. In some cities, there were reductions in residential burglary but little change in non-residential burglary. Thefts of motor vehicles decreased in some cities while there were diverging patterns of thefts from motor vehicles. These results are used to make suggestions for future research into the relationships between the coronavirus pandemic and different crimes.

Crime Science 2020 9:6

Crime and coronavirus: social distancing, lockdown, and the mobility elasticity of crime

By Eric Halford, Anthony Dixon, Graham Farrell, Nicolas Malleson and Nick Tilley

Governments around the world restricted movement of people, using social distancing and lockdowns, to help stem the global coronavirus (COVID-19) pandemic. We examine crime effects for one UK police force area in comparison to 5-year averages. There is variation in the onset of change by crime type, some declining from the WHO ‘global pandemic’ announcement of 11 March, others later. By 1 week after the 23 March lockdown, all recorded crime had declined 41%, with variation: shoplifting (−62%), theft (−52%), domestic abuse (−45%), theft from vehicle (−43%), assault (−36%), burglary dwelling (−25%) and burglary non-dwelling (−25%). We use Google Covid-19 Community Mobility Reports to calculate the mobility elasticity of crime for four crime types, finding shoplifting and other theft inelastic but responsive to reduced retail sector mobility (MEC=0.84, 0.71 respectively), burglary dwelling elastic to increases in residential area mobility (−1), with assault inelastic but responsive to reduced workplace mobility (0.56). We theorise that crime rate changes were primarily caused by those in mobility, suggesting a mobility theory of crime change in the pandemic. We identify implications for crime theory, policy and future research

Crime Science 2020 9:11

Minor covid-19 association with crime in Sweden

By Manne Gerell, Johan Kardell and Johanna Kindgren

The covid-19 disease has a large impact on life across the globe, and this could potentially include impacts on crime. The present study describes how crime has changed in Sweden during ten weeks after the government started to implement interventions to reduce spread of the disease. Sweden has undertaken smaller interventions than many other countries and is therefore a particularly interesting case to study. The first major interventions in Sweden were implemented in the end of week 11 (March 12th) in the year 2020, and we analyze police reported crimes through week 21 (ending May 24th). Descriptive statistics are provided relative to expected levels with 95% confidence intervals for eight crime types. We found that total crime, assaults, pickpocketing and burglary have decreased significantly, personal robberies and narcotics crime are unchanged. Vandalism possibly increased somewhat but is hard to draw any frm conclusions on. The reductions are fairly small for most crime types, in the 5–20% range, with pickpocketing being the biggest exception noting a 59% drop relative to expected levels.

Crime Science 2020 9:19

Disentangling community-level changes in crime trends during the COVID-19 pandemic in Chicago

By Gian Maria Campedelli, Serena Favarin, Alberto Aziani and Alex R. Piquero

Recent studies exploiting city-level time series have shown that, around the world, several crimes declined after COVID-19 containment policies have been put in place. Using data at the community-level in Chicago, this work aims to advance our understanding on how public interventions affected criminal activities at a finer spatial scale. The analysis relies on a two-step methodology. First, it estimates the community-wise causal impact of social distancing and shelter-in-place policies adopted in Chicago via Structural Bayesian Time-Series across four crime categories (i.e., burglary, assault, narcotics-related offenses, and robbery). Once the models detected the direction, magnitude and significance of the trend changes, Firth’s Logistic Regression is used to investigate the factors associated with the statistically significant crime reduction found in the first step of the analyses. Statistical results first show that changes in crime trends differ across communities and crime types. This suggests that beyond the results of aggregate models lies a complex picture characterized by diverging patterns. Second, regression models provide mixed findings regarding the correlates associated with significant crime reduction: several relations have opposite directions across crimes with population being the only factor that is stably and positively associated with significant crime reduction.

Crime Science 2020 9:21

Somehow I always end up alone: COVID-19, social isolation and crime in Queensland, Australia

By Martin A. Andresen and Tarah Hodgkinson

The COVID-19 pandemic has dramatically affected social life. In efforts to reduce the spread of the virus, countries around the world implemented social restrictions, including social distancing, working from home, and the shuttering of numerous businesses. These social restrictions have also affected crime rates. In this study, we investigate the impact of the COVID-19 pandemic on the frequency of offending (crimes include property, violence, mischief, and miscellaneous) in Queensland, Australia. In particular, we examine this impact across numerous settings, including rural, regional and urban. We measure these shifts across the restriction period, as well as the staged relaxation of these restrictions. In order to measure the impact of this period we use structural break tests. In general, we find that criminal offences have significantly decreased during the initial lockdown, but as expected, increased once social restrictions were relaxed. These findings were consistent across Queensland’s districts, save for two areas. We discuss how these findings are important for criminal justice and social service practitioners when operating within an extraordinary event.

Crime Science 2020 9:25

Six months in: pandemic crime trends in England and Wales

By Samuel Langton, Anthony Dixon and Graham Farrell

Governments around the world have enforced strict guidelines on social interaction and mobility to control the spread of the COVID-19 virus. Evidence has begun to emerge which suggests that such dramatic changes in people’s routine activities have yielded similarly dramatic changes in criminal behavior. This study represents the frst ‘look back’ on six months of the nationwide lockdown in England and Wales. Using open police-recorded crime trends, we provide a comparison between expected and observed crime rates for fourteen diferent ofence categories between March and August, 2020. We fnd that most crime types experienced sharp, short-term declines during the frst full month of lockdown. This was followed by a gradual resurgence as restrictions were relaxed. Major exceptions include anti-social behavior and drug crimes. Findings shed light on the opportunity structures for crime and the nuances of using police records to study crime during the pandemic.

Crime Science 2021 10:6

Offline crime bounces back to pre-COVID levels, cyber stays high: interrupted time-series analysis in Northern Ireland

By David Buil-Gil, Yongyu Zeng and Steven Kemp

Much research has shown that the first lockdowns imposed in response to the COVID-19 pandemic were associated with changes in routine activities and, therefore, changes in crime. While several types of violent and property crime decreased immediately after the first lockdown, online crime rates increased. Nevertheless, little research has explored the relationship between multiple lockdowns and crime in the mid-term. Furthermore, few studies have analysed potentially contrasting trends in offline and online crimes using the same dataset. To fill these gaps in research, the present article employs interrupted time-series analysis to examine the effects on offline and online crime of the three lockdown orders implemented in Northern Ireland. We analyse crime data recorded by the police between April 2015 and May 2021. Results show that many types of traditional offline crime decreased after the lockdowns but that they subsequently bounced back to pre-pandemic levels. In contrast, results appear to indicate that cyber-enabled fraud and cyber-dependent crime rose alongside lockdown-induced changes in online habits and remained higher than before COVID-19. It is likely that the pandemic accelerated the long-term upward trend in online crime. We also find that lockdowns with stay-at-home orders had a clearer impact on crime than those without. Our results contribute to understanding how responses to pandemics can influence crime trends in the mid-term as well as helping identify the potential long-term effects of the pandemic on crime, which can strengthen the evidence base for policy and practice.

Crime Science 2021 10:26

A multilevel examination of the association between COVID-19 restrictions and residence-to-crime distance

By Theodore S. Lentz, Rebecca Headley Konkel, Hailey Gallagher and Dominick Ratkowski

Restrictions resulting from the COVID-19 pandemic interrupted people’s daily routine activities. Rooted in crime pattern and routine activity theories, this study tests whether the enactment of a Safer-at-Home mandate was associated with changes in the distance between individuals’ home addresses and the locations of where they committed crimes (i.e., residence-to-crime distance). Analyses are based on violent (N=282), property (N=1552), and disorder crimes (N=1092) reported to one police department located in a United States’ Midwest suburb. Multilevel models show that residence-to-crime distances were significantly shorter during the Safer-at-Home order, compared to the pre- and post-Safer-at-Home timeframes, while controlling for individual and neighborhood characteristics. Additionally, these relationships varied by crime type. Consistent with the literature, the findings support the argument that individuals tend to offend relatively near their home address. The current findings extend the state of the literature by highlighting how disruptions to daily routine activities stemming from the COVID-19 pandemic led to alterations in crime patterns, in which analyses indicated shorter distances between home address and offense locations.

Crime Science 2022 11:12

Pandemic, Social Unrest, and Crime in U.S. Cities

By Richard Rosenfeld and Ernesto Lopez:   National Commission on COVID-19 and Criminal Justice

This study is the fifth in a series of reports exploring pandemic-related crime changes for the National Commission on COVID-19 and Criminal Justice. Updating that earlier work, this analysis reveals both increases and decreases in crime rates in a sample of United States cities during the first quarter of 2021 compared with the first quarter of 2020. Homicides, aggravated and gun assaults, and motor vehicle thefts increased, while residential burglaries, nonresidential burglaries, larcenies, and drug offenses fell. The timing of the declines in burglaries, larcenies, and drug crimes coincided with the stay-at-home mandates and business closings that occurred in response to the pandemic. Quarantines reduced residential burglary. When businesses are closed, there is no shoplifting. Selling drugs on the street is more difficult when there are fewer people on the street, and drug arrests fall when police reduce drug enforcement because they have prioritized other activities. Our findings show that there was a 26% increase in motor vehicle thefts in the first quarter of 2021 compared to the same period in the previous year, even as other property crimes declined. Motor vehicle thefts may have risen during the pandemic as more people left their vehicles unattended at home rather than in secure parking facilities at work.  

Washington, DC: Council on Criminal Justice, 2021. 

Virus-proof Violence: Crime and COVID-19 in Mexico and the Northern Triangle

By The International Crisis Group

Criminal groups in Mexico and the Northern Triangle of Central America (El Salvador, Guatemala and Honduras) have been quick to absorb the shock of the COVID-19 pandemic and seize new opportunities provided by lockdowns, distracted states and immiserated citizens. At first, trade disruptions and movement restrictions forced some criminal outfits to slow illicit activities. But the lull has not lasted. Exchange of illicit goods already appears to be swinging back to normal, while extortion rackets are resurging. As the region’s recent history shows, quick fixes to rein in organised crime and official corruption are very likely to be counterproductive. Instead, governments should concentrate their limited resources to aid the most violent regions and vulnerable people, ideally through regional programs to curb impunity and create alternatives to criminal conduct. After months of lockdowns of varying severity, with disease transmission still uncontrolled and poised to spike again, the threat of rising crime across the region is manifest. Mexico has been afflicted for years by transnational criminal organisations that feed off a lack of economic opportunity and corruption in the state and security forces. The new force in the underworld, the Jalisco Cartel New Generation, has bared its teeth during the pandemic in fights for control of illicit markets such as drug trafficking and “taxing” legal commodities. It has also displayed its paramilitary might in the media. Myriad criminal groups have claimed to be lifelines for local people, largely in bids to widen their support base. Across the north of Central…..

  • America, street gangs that have lorded it over their economically struggling strongholds for years have also found ways to take advantage of the pandemic. After the outbreak, they advertised themselves as champions of communities under lockdown, handing out food baskets and forgiving protection payments. Due to COVID-19 movement restrictions, violence fell briefly in Honduras and Guatemala. But it is now back to or above pre-pandemic levels, while extortion rackets in both countries appear set to intensify. El Salvador is an outlier in that murder rates have stayed close to historical lows for reasons that remain disputed. The government says its security plan has kept violent gangs at bay, while Crisis Group has suggested that gang and government leaders may have struck an informal agreement to scale back violence. But, if such a pact exists, neither side has acknowledged it in public, and sudden spates of killings underline that gangs’ commitment to peace is far from robust. Behind concerns about deteriorating security in Mexico and northern Central America is the realisation that the pandemic (and counter-measures) will worsen the economic and institutional ills underlying the crime wave. The incidence of COVID-19 varies from country to country, but it is hard to imagine that any will avoid a negative impact on livelihoods, public services and the popular mood. Mexico ranks fourth worldwide with its officially reported death toll of over 90,000 – which the government admits is an undercount – while rates of infection in northern Central America stand around the Latin American average. Nonetheless, all four countries are now facing one of the most severe economic contractions in decades, made worse in Central America by the recent devastation left by Hurricane ETA. Expected falls in 2020 GDP, reaching close to 10 per cent in Mexico and El Salvador and causing unemployment to soar across the region, are set to reverse advances in reducing inequality and poverty, weaken public services in poor areas, intensify criminal rivalries and sharpen officials’ motives for consorting with illicit business. 

Brussels:  International Crisis Group, 2020. 37p.

Findings from the Violence Outcomes in COVID-19 Era Study (VoCes-19): Baseline Results

By Larrea-Schiavon, Silvana, Lina López-Lalinde, Isabel Vieitez Martínez, Ricardo Regules, Juan Pablo Gutiérrez, René Nevárez, Cristina Mac Gregor, Pablo López, Nicole Haberland, and Thoai Ngô

This report presents findings from the baseline survey of the Violence Outcomes in COVID-19 Era Study (VOCES-19). The study, conducted by Population Council Mexico in collaboration with the National Institute of Youth and the National Center for Gender Equity and Reproductive Health aims to understand the impact of the COVID-19 pandemic and accompanying mitigation measures on the experience and perception of violence among 15–24-year-olds living in Mexico, as well as its effects on other social, economic, and health, related outcomes. The primary objectives for this first survey round were to gather baseline information on several outcomes of interest, assess differential effects by gender, ethnicity, and socioeconomic status, and establish a cohort of adolescents and young adults to measure the impact of the pandemic on young people in Mexico over time.

Mexico: Population Council, 2021. 153p.

Property Crime and Violent Crime in Detroit: Spatial Association with Built Environment Before and during COVID-19

By Ahmad Ilderim Tokey

Objectives: This study expands the literature by finding the associations of land use (LU) and road-related Built Environment with property and violent crime in Detroit from 2019-to 2021 and documenting if the relationships have changed during COVID-19. Method: This study uses property and violent crime location data from 2019 to 2021. It then builds Geographically Weighted Regression and Spatial Error Models to formalize the BE-crime relationship. Results: Findings indicate that multifamily LU and liquor stores are related to property crime but not much to violent crime. The retail and office LU proportion, bus stop density, and density of roads less than 40 miles per hour are positively linked with crime rates. Reversely, block groups' median income, population density, and tenure length are inversely associated with crime rates. The local association over the year is consistent for property crime but varied substantially for violent crime. In the low-income neighborhoods, single-family got more associated with violent crime during the pandemic while in a high-income neighborhood, single-family LU revealed a negative association with violent crime. Further, areas, where retail LU had a strong positive relationship with violent crime rates in 2019, attracted more crime afterward. The high bus stop densities downtown got more positively associated with violent crime in 2020-21 than in pre-pandemic time. Conclusion: This study advances understanding related to the BE-crime relationship, sheds new light on street-related BE, and documents the links between BE and crime. For local

  • policymakers in Detroit, this study leaves essential evidence that can help them make an informed move in the later stages of COVID-19.

Columbus, OH: Ohio State University, Department of Geography, 2022. 38p.