Understanding changing demand for police during the coronavirus pandemic

Research summaryInspired by studies on crime concentration, scholars have begun examining the spatial patterns of other issues under the police mandate, such as calls for service involving persons with perceived mental illness (PwPMI). While findings show that PwPMI calls for service concentrate in a few number of places, we do not know whether the concentration of these calls fall within a narrow bandwidth of spatial units nor whether these calls are spatially stable. Drawing on 7 years of calls for service data from the Barrie Police Service, this study tests for the temporal stability of PwPMI call for service concentrations at two units of spatial analysis and applies a longitudinal variation of the Spatial Point Pattern Test to assess the spatial stability of these calls at both the global and local levels. The results reveal that concentrations of PwPMI calls for service not only fall within a narrow proportional bandwidth of spatial units, but are spatially stable, even during the COVID‐19 pandemic.Policy implicationsExisting police‐ and community‐based efforts that respond to PwPMI in the community are tasked with responding to crises that could have been prevented with timelier intervention. Drawing from crime‐focused, place‐based policing strategies whose deployment is informed by the spatial concentration of crime, scholars have similarly argued that knowledge on where PwPMI calls for service concentrate can be leveraged to inform and deploy place‐based efforts whose focus is to assist PwPMI in a proactive capacity. The findings of the present study further substantiates the deployment of PwPMI‐focused police‐ and community‐based resources as proactive, place‐based efforts. In doing so, these efforts could not only prevent mental health crises from occurring but could prevent future police‐involved calls for service and thus reduce the footprint of the police in the lives of PwPMI in a reactive capacity.

Individuals’ fear of crime exhibits a complex spatial relationship with not just actual crime incidents , but a mix of actual crime, perceptions of crime, neighborhood disorder , and collective efficacy . If people have a high fear of crime, they may be more likely to report suspicious or criminal activities to the police . The fear of crime individuals maintain is most often directly linked to the fear of violent crime ; however, a spatially explicit examination of the impact of violent crime calls for service to police officers, neighborhood disorder and collective efficacy on the fear of crime is still needed. In the current study, we examine the relationship among all of these factors using measures of spatial correlation and spatial regression . While the reactive policing strategy of responding to calls for service is more cost-effective than community policing , targeted proactive strategies might be more useful for long-term crime prevention . Our findings illustrate the potential of spatial analysis in informing policing strategies, by highlighting variation in the spatial relationships between fear of crime, violent crime incidents, collective efficacy, and neighborhood disorder. Using the results of this type of analysis can lead to a better use of police resources to avert crime.

Enhancing predictions of patient conveyance using emergency call handler free text notes for unconscious and fainting incidents reported to the London Ambulance Service

Objective Police officers often find themselves responding to calls that do not involve criminal behavior, but calls related to individuals experiencing emotional distress or mental illness that requires police response. This research aims to identify high-risk places of mental health calls for service (MHCFS) in an urban setting and compare place features of these locations by police response (locations where a CIT-trained officer is dispatched versus a non-trained officer dispatched). Data/Methods Our research uses Atlantic City Police Department’s calls for service data from 1 January 2019 through 30 December 2022, including the incidents of mental incompetence with location components. After removing the calls that were not coded as mental health, a total of 2229 incidents involving perceived mental illness were geocoded and compared. We used RTMDx software to generate risk terrain models for MHCFS in Atlantic City, NJ. Findings The RTM analysis yielded no association between places of interest and MHCFS for calls involving non-CIT-trained officers. Yet, we identified five high-risk activity spaces of MHCFS where officers with CIT training were involved. Grocery stores (RRV = 2.873), places of leisure (RRV = 2.764), Health & Wellness Facilities (RRV = 2.624), Eateries & Restaurants (RRV = 2.547), and Convenience & Variety Stores (RRV = 2.280) are the risk factors identified by the RTM analysis. Given the characteristics of places identified by risk-terrain modeling, we reason that the characteristics of these places indicate that individuals experiencing perceived or actual mental health problems hang out in spaces with ease of access and in spaces where they can stay relatively longer with minimal attention. Conclusion Our research suggests that there is an association between spatial factors and MHCFS that are responded to by CIT-trained officers. City officials should consider deploying additional resources and mental health staff to these places to address the issue of mental health in urban settings. Future research should consider testing whether the places we identified in our analysis are also high-risk places for MHCFS in other urban environments.

This study analyzes whether income inequality within a community at the neighborhood level is associated with incidence of mood disorder in Japan. A retrospective cohort study was performed using the data of 116,658 National Health Insurance beneficiaries aged between 20 and 69 in Chiba City, Japan. To evaluate income inequality within a community, the Gini coefficient within a 30-min walking distance from an individual's residence was calculated using income distribution estimated by the National Census and the Housing and Land Survey 2013. Incidence of mood disorder was determined through insurance claims submitted from April 1, 2013, to March 31, 2016. A multilevel logistic analysis with three levels-the individual, household, and residential district-was performed to evaluate the association. Income inequality within a community at the neighborhood level was not associated with incidence of mood disorder in the models with and without equivalent household income (p for trend = 0.856 and 0.947, respectively). No difference was observed in the impact of the Gini coefficient among income levels, lower versus higher income groups (p for interaction between Gini coefficient and household income = 0.967). In contrast, lower equivalent income at the household level was significantly associated with higher incidence of mood disorder (p for trend < 0.001). While we confirmed that lower income at the household level itself had an adverse effect on mental health, income inequality within a community at the neighborhood level was not a significant factor for incidence of mood disorder in Japan.

PurposeA strong body of research has established the concentration of crime in a small number of street segments or “hot spots” throughout urban cities, but the spatial distribution of mental health-related calls for services is less well known. The extent to which these calls are concentrated on a small number of street segments, similar to traditional crime calls for service is understudied. The purpose of this paper is to examine the concentration of mental health calls and the spatial distribution of street segments with mental health calls to provide directions for law enforcement and place-based policing.Design/methodology/approachUsing call for service data from a large city on the East coast, the current study examines whether mental health calls for service are concentrated on street segments, and tests spatial dispersion to whether these “mental health hot spots” are spread throughout the city or clustered in space. Finally, the authors explore the relationship between mental health calls and violent and drug calls by calculating the correlation and using a spatial point pattern test to determine if mental health calls are spatially similar to violent and drug calls.FindingsThe authors found that mental health calls are concentrated on street segments; specifically 22.4 percent of calls are located on 0.5 percent of city street segments. Additionally, these street segments are fairly dispersed throughout the city. When comparing the spatial similarity of mental health calls to violent and drug calls, they are highly correlated suggesting a relationship between the calls types, but the location of mental health calls appears to be different from violet and drug calls.Originality/valueVery few studies have examined the location of mental health calls and whether they are concentrated in small areas similar to crime, but such research can provide police officers new approaches to working with people with mental health problems. The police are the primary emergency response for calls involving someone with a mental illness or experiencing a mental health crisis and the authors provide suggestions for policing that draw from strategies used in hot spot policing and mental health responses, like CIT, to address challenges of modern policing and working with people with mental health problems.

Social media platforms have obtained substantial interest of police to connect with residents. This has encouraged residents to report day-to-day law and order concerns such as traffic congestion, missing people, and harassment by cops on these platforms. In this paper, we study day-to-day concerns shared by residents on social media and police response to such concerns. Based on the input of police experts, we define concerns that require police response and attention, as a serviceable request. We provide insights on six textual attributes that can identify serviceable posts. We find such posts are marked by high negative emotions, more factual, and objective content such as location and time of incidences. We show that police response time varies depending upon the kind of serviceable requests. Our work explores a series of statistical models to predict serviceable posts and its different types. We conclude the paper, discussing the implication of our findings on police practices and design needs for possible technological interventions. These technological interventions will help increase the interactions between police and residents and thereby increasing the well-being and safety of society.

Concurrent and predictive correlates of girls' depression and antisocial behaviour under conditions of economic crisis and value changes: the case of Albania

This scientific article is dedicated to examining the concept and significance of depreciation policy in the context of an economic crisis. Amidst growing economic instability and uncertainty, depreciation policy plays a pivotal role in financial management for enterprises. The heightened uncertainty in financial markets, changes in the economic environment, and challenges associated with shifts in demand and supply underscore the relevance of analyzing and refining depreciation policies. Crisis conditions often lead to changes in strategic approaches in financial management, including depreciation expense planning. A well-planned depreciation strategy can aid enterprises in more effectively allocating financial resources, reducing potential financial risks, and ensuring long-term financial stability. Furthermore, in times of crisis, it is pertinent to consider depreciation policy as a tool for optimizing financial indicators for businesses. The appropriate allocation of depreciation expenses can positively impact liquidity and solvency, equipping enterprises to address escalating financial challenges. The article explores various methods of calculating depreciation, analyzes the determination of useful lives for assets and intangible assets during a crisis, and considers different rates of depreciation expense and their impact on a company’s financial position within resource constraints. Moreover, the tax implications of choosing different depreciation strategies are discussed. The interrelation between depreciation deductions and a company’s liquidity is examined, particularly in the context of economic instability. It is noted that the choice of depreciation strategy holds significant value for optimizing a company’s financial status, especially during economic instability. Flexible depreciation planning and its adaptation to changes in market situations are essential tools. The article delves into how depreciation policy can be employed to ensure a company’s financial stability during a crisis. Innovative methods for enhancing depreciation policy in crisis conditions are outlined.

The emergence of socio-political differentiation is a core theme in world prehistory, and the West African archaeological record offers unique insights into the range of pathways towards increasing complexity and the origins of socio-economic inequalities. During the second half of the second millennium BC, the Tichitt-Oualata escarpments of southeastern Mauritania witnessed the development of societies with monumental funerary architecture and substantial drystone settlements that relied on an agropastoral economy based primarily on pearl millet (Pennisetum sp.) cultivation and livestock-raising. Previous spatial analyses of site size have shown that the Dhar Tichitt landscape exhibited a multi-tiered settlement hierarchy, with Dakhlet el Atrouss I (80 ha) as the main regional center, with almost 600 compounds forming an intricate layout and hundreds of funerary tumuli in the vicinity of the site. The limited presence of imported prestige goods, however, has sparked considerable controversy regarding the socio-political complexity of the community inhabiting the site. The aim of this article is to understand whether remote sensing and spatial analyses can inform us about the extent of socio-economic differentiation at Dakhlet el Atrouss I, the largest site ascribed to the Tichitt Tradition. On the basis of relevant ethnographies exploring the dynamics of household wealth in agropastoral economies, I explore the degree of compound size variation at the site and neighborhood levels using well-established econometric methods that increasingly feature in archaeological studies of inequality and socio-political complexity. This paper represents the first application of Lorenz Curves and Gini Coefficients in African prehistory and illustrates a considerable degree of spatial and socio-economic differentiation at Dakhlet el Atrouss I.

Police response time to calls for service is a crucial factor in evaluation of police performance. While domestic violence is now considered serious interpersonal violence, factors associated with response time to domestic violence incidents are underexplored. Using hierarchical linear modeling, over 10,000 cases of calls for service for domestic violence across 438 census tracts in Houston, Texas, were examined. The result of multilevel analysis revealed that complainant’s race, weapon involvement, and day and time of incidents were associated with response time at the situational level. At the neighborhood level, concentrated disadvantage, immigration concentration, and residential stability were significantly associated with response time.

Gunshot detection technology (GDT) is expected to impact gun violence by accelerating the discovery and response to gunfire. GDT should further collect more accurate spatial data, as gunfire is assigned to coordinates measured by acoustic sensors rather than addresses reported via 9-1-1 calls for service (CFS). The current study explores the level to which GDT achieves these benefits over its first 5 years of operation in Kansas City, Missouri. Data systems are triangulated to determine the time and location gunfire was reported by GDT and CFS. The temporal and spatial distances between GDT and CFS are then calculated. Findings indicate GDT generates time savings and increases spatial precision as compared to CFS. This may facilitate police responses to gunfire events and provide more spatially accurate data to inform policing strategies. Results of generalized linear and multinomial logistic regression models indicate that GDT benefits are influenced by a number of situational factors.

Hot spots and burning times: A spatiotemporal analysis of calls for service to establish police demand

Spatial scan statistics with circular or elliptic scanning windows are commonly used for cluster detection in various applications, such as the identification of geographical disease clusters from epidemiological data. It has been pointed out that the method may have difficulty in correctly identifying non-compact, arbitrarily shaped clusters. In this paper, we evaluated the Gini coefficient for detecting irregularly shaped clusters through a simulation study. The Gini coefficient, the use of which in spatial scan statistics was recently proposed, is a criterion measure for optimizing the maximum reported cluster size. Our simulation study results showed that using the Gini coefficient works better than the original spatial scan statistic for identifying irregularly shaped clusters, by reporting an optimized and refined collection of clusters rather than a single larger cluster. We have provided a real data example that seems to support the simulation results. We think that using the Gini coefficient in spatial scan statistics can be helpful for the detection of irregularly shaped clusters.

We report the results of the only multi-wave survey of a large and geographically diverse sample of police agencies across the United States to understand the immediate impacts of the COVID-19 pandemic on law enforcement. Findings indicate an unprecedented and sustained shift in both the supply of and demand for police services during that time. While overall calls for service (demand) tended to decline in most agencies, some experienced increases in specific categories of calls. During the early months of COVID, agencies also reduced their in-person response to calls for service, arrests, proactive policing, and community policing activities (supply). These findings indicate a substantial change in the public safety landscape during that time, which was experienced by agencies of all sizes and from all types of jurisdictions. We explore how public health pandemics can lead to substantial, immediate, and potentially sustained changes to police deployment and police-community interactions that may impact public safety goals.