Association Between COVID-19 Lockdown Measures and Emergency Department Visits for Violence-Related Injuries in Cardiff, Wales

Violent behavior and the COVID-19 lockdowns: a nationwide register-based study

OBJECTIVES

The primary aim was to test the hypothesis that physical interpersonal violence is decreased during the lockdown period in comparison with comparable control periods. The secondary aims were to explore the effects of gender and alcohol consumption on the violence during the lockdown.

METHODS

Nationwide records of hospitalizations secondary to an assault were analyzed using quasipoisson regression. Assault rates in two lockdown periods, defined as a national emergency state, were compared to baseline data between 2017 and 2020, controlling for seasonal fluctuations and pandemic-related effects other than lockdown. To validate the findings on independent data, differences between lockdown and baseline in Police records of violent criminality between 2017 and 2021 were examined using one-way ANOVA.

RESULTS

The rates of hospitalizations secondary to an assault decreased substantially during lockdowns (IRR = .43; P < .001) and the duration of lockdown did not affect assault rates (P = .07). The decrease in assault rates was more pronounced in males than females (IRR = .77; P < .05) and was weakened in patients with history of alcohol abuse (IRR = 1.83; P < .001). Violent crime rate decreased by 19% during the lockdowns compared to prepandemic baseline (P < .001).

CONCLUSION

We found that physical interpersonal violence decreased during the COVID-19 lockdown periods. The reduction is significantly greater in males. Emerging evidence suggests an increased risk of alcohol use and intoxication during the lockdowns. Violent crime rate decreased during the lockdown.

The impact of COVID-19 and associated public health restrictions on trends in police-recorded violence in an English police force area

BACKGROUND

The COVID-19 pandemic, and associated public health measures, had a marked impact on a number of health and wellbeing outcomes, including alcohol use and violence. Current literature presents a mixed view of the impact of the pandemic on violence trends. The current study utilises police offence data from a region of northern England to examine the impact of lockdowns, and subsequent relaxation of restrictions, on trends in violent offences.

METHODS

Time series analyses using seasonal auto-regressive integrated moving average (SARIMA) modelling was used to investigate the impacts of the COVID-19 public health measures on weekly offence trends from April 1 2018 to March 20 2021. Additionally, pre-pandemic data were used to forecast expected trends had the pandemic not occurred. These expected trends were then compared to actual data to determine if the average levels of violence were outside the forecasted expectations. Overall violence and six subtypes (violence with and without injury, sexual offences including rape, domestic violence, and alcohol-related violent offences) were examined.

RESULTS

Overall, the observed trend in police recorded violent offences demonstrated fluctuating patterns in line with commencement and easing of public health restrictions. That is, offence numbers declined during lockdowns and increased after relaxation of restrictions. However, the majority of observed values fell within the expected range. This broad pattern was also found for subtypes of violent offences.

CONCLUSIONS

While violent crime trends demonstrated fluctuations with lockdowns, and subsequent easing of restrictions, these changes were not demonstrably larger than expected trends within this English region, suggesting that a sustained amplification in violence was not observed within this data. However, it is important to acknowledge the high levels of violence reported in this region across the study period, which should be used as a key driver for investing in long-term approaches to violence prevention. Given the extent of unreported violence generally, and that victims/survivors may come into contact with other support services (without reporting to the police), it is vital that policy and practice decisions take a holistic approach, considering a broad range of data sources.

Domestic abuse in the Covid-19 pandemic: measures designed to overcome common limitations of trend measurement

Research on pandemic domestic abuse trends has produced inconsistent findings reflecting differences in definitions, data and method. This study analyses 43,488 domestic abuse crimes recorded by a UK police force. Metrics and analytic approaches are tailored to address key methodological issues in three key ways. First, it was hypothesised that reporting rates changed during lockdown, so natural language processing was used to interrogate untapped free-text information in police records to develop a novel indicator of change in reporting. Second, it was hypothesised that abuse would change differentially for those cohabiting (due to physical proximity) compared to non-cohabitees, which was assessed via a proxy measure. Third, the analytic approaches used were change-point analysis and anomaly detection: these are more independent than regression analysis for present purposes in gauging the timing and duration of significant change. However, the main findings were largely contrary to expectation: (1) domestic abuse did not increase during the first national lockdown in early 2020 but increased across a prolonged post-lockdown period, (2) the post-lockdown increase did not reflect change in reporting by victims, and; (3) the proportion of abuse between cohabiting partners, at around 40 percent of the total, did not increase significantly during or after the lockdown. The implications of these unanticipated findings are discussed.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40163-023-00190-7.

COVID-19 knowledge deconstruction and retrieval: an intelligent bibliometric solution

COVID-19 has been an unprecedented challenge that disruptively reshaped societies and brought a massive amount of novel knowledge to the scientific community. However, as this knowledge flood continues surging, researchers have been disadvantaged by not having access to a platform that can quickly synthesize emerging information and link the new knowledge to the latent knowledge foundation. Aiming to fill this gap, we propose a research framework and develop a dashboard that can assist scientists in identifying, retrieving, and understanding COVID-19 knowledge from the ocean of scholarly articles. Incorporating principal component decomposition (PCD), a knowledge mode-based search approach, and hierarchical topic tree (HTT) analysis, the proposed framework profiles the COVID-19 research landscape, retrieves topic-specific latent knowledge foundation, and visualizes knowledge structures. The regularly updated dashboard presents our research results. Addressing 127,971 COVID-19 research papers from PubMed, the PCD topic analysis identifies 35 research hotspots, along with their inner correlations and fluctuating trends. The HTT result segments the global knowledge landscape of COVID-19 into clinical and public health branches and reveals the deeper exploration of those studies. To supplement this analysis, we additionally built a knowledge model from research papers on the topic of vaccination and fetched 92,286 pre-Covid publications as the latent knowledge foundation for reference. The HTT analysis results on the retrieved papers show multiple relevant biomedical disciplines and four future research topics: monoclonal antibody treatments, vaccinations in diabetic patients, vaccine immunity effectiveness and durability, and vaccination-related allergic sensitization.

Changes in ambulance departures for assault calls during COVID-19 pandemic restrictions

Restrictions related to COVID-19 changed the daily behavior of people, including the expression of violence. Although an increased incidence of violent behavior, especially domestic violence, was expected during the pandemic, retrospective analyses have yielded mixed results. Records of ambulance departures to address injuries caused by assaults in the Pilsen region, Czech Republic, during the restrictive measures during the national state of emergency were compared to data from 3 previous years using general linear models. The number and severity of assaults were analyzed for the whole sample and separately for patients of either sex, for residential or nonresidential locations, and for domestic violence. Controlling for the seasonal effects, the number of assaults decreased by 39% during the pandemic restrictions compared to the 3 previous years. No difference was found between the effects of restrictions on assaults resulting in an injury of a male or female patient. The decrease was specifically pronounced in the sample of assaults in nonresidential locations, while no effect of restrictions was observed in assaults in residential locations and domestic assaults. Pandemic restrictions were associated with a decreased incidence of violent assaults that required ambulance services. Although the incidence decreased especially in those assaulted outside of their homes, we found no support for an increase in domestic violence or violence against women. Pandemic restrictions may have served as a protective rather than a risk factor for assaults severe enough to warrant a call for ambulance services.

The impact of COVID-19 pandemic on temporal trends of workplace violence against healthcare workers in the emergency department

Background

It is known that there has been an increase over the years in attacks by patients admitted to the emergency department (ED) on healthcare workers; it is unclear what effect the COVID-19 pandemic has on these attacks.

Aim

to verify through a long-term time analysis the effect of COVID-19 on ED attacks on healthcare workers.

Mothods

a quasi-experimental interrupted time-series analysis on attacks on healthcare workers was performed from January 2017 to August 2021. The main outcome was the monthly rate of attacks on healthcare workers per 1000 general accesses. The pandemic outbreak was used as an intervention point.

Results

1002 attacks on healthcare workers in the ED were recorded. The rate of monthly attacks on total accesses increased from an average of 13.5 (SD 6.6) in the pre-COVID-19 era to 27.2 (SD 9.8) in the pandemic months, p < 0.001. The pandemic outbreak led to a significant increase in attacks on healthcare workers from 0.05/1000 attacks per month (p = 0.018), to 4.3/1000 attacks per month (p = 0.005).

Conclusions

The COVID-19 pandemic has led to a significant increase in attacks on healthcare workers in the ED. Trends compared to pre-pandemic months do not seem to indicate a return to normality. Health institutions and policymakers should develop strategies to improve the safety of the working environment in hospitals and EDs.

Police referrals for domestic abuse before and during the first COVID-19 lockdown: An analysis of routine data from one specialist service in South Wales

BACKGROUND

COVID-19 lockdown measures may have led to more, and increasingly severe, domestic abuse. This study examines police referrals to a specialist domestic abuse service in Wales, UK before and during the first lockdown.

METHODS

Routine data relating to 2292 police referrals for female adult victim-survivors from December 2019 until July 2020 were analysed and presented in the form of descriptive statistics to monitor changes in referral rates and the profile of those referrals.

RESULTS

There was little increase in the overall volume of police referrals during lockdown, but the proportion assessed as high risk increased, and children became the primary source of third-party referrals, with a higher proportion of reports made by other third parties as restrictions eased. Police reports for cases of Child/Adolescent to Parent Violence (C/APV) occurred almost exclusively during lockdown.

CONCLUSIONS

The increase in risk level despite less clear increase in volume may suggest unmet need, with victims less likely to seek help during lockdown other than for more severe instances. Increased reports by children suggest increased exposure of children to domestic abuse during school closure. Unmet need for women and children may have been made visible to services, and acquaintances, as measures began to ease.

ECG Utilization Patterns of Patients With Arrhythmias During COVID-19 Epidemic and Post-SARS-CoV-2 Eras in Shanghai, China

Background

The COVID-19 pandemic has led to concerns around its subsequent impact on global health.

Objective

To investigate the health-seeking behavior, reflected by ECG utilization patterns, of patients with non-COVID-19 diseases during and after COVID-19 epidemic.

Methods

Taking advantage of the remote ECG system covering 278 medical institutions throughout Shanghai, the numbers of medical visits with ECG examinations during the lockdown (between January 23 and April 7, 2020), post-lockdown (between April 8 and December 31, 2020) and post-SARS-CoV-2 (between January 23 and April 7, 2021) periods were analyzed and compared against those during the same periods of the preceding years (2018 and 2019).

Results

Compared with the same period during pre-COVID years, the number of medical visits decreased during the lockdown (a 38% reduction), followed by a rebound post-lockdown (a 17% increase) and a fall to the baseline level in post-SARS-CoV-2 period. The number of new COVID-19 cases announced on a given day significantly correlated negatively with the numbers of medical visits during the following 7 days. Medical visit dynamics differed for various arrhythmias. Whereas medical visits for sinus bradycardia exhibited a typical decrease-rebound-fallback pattern, medical visits for atrial fibrillation did not fall during the lockdown but did exhibit a subsequent increase during the post-lockdown period. By comparison, the volume for ventricular tachycardia remained constant throughout this entire period.

Conclusion

The ECG utilization patterns of patients with arrhythmias exhibited a decrease-rebound-fallback pattern following the COVID-19 lockdowns. Medical visits for diseases with more severe symptoms were less influenced by the lockdowns, showing a resilient demand for healthcare.

Examining Violence Against Women at a Regional Level 1 Trauma Center During the COVID-19 Pandemic

INTRODUCTION

There is a growing concern that certain public health restrictions imposed to prevent the spread of coronavirus disease 2019 (COVID-19) could result in more violence against women (VAW). We sought to determine if the rates and types of VAW changed during the COVID-19 pandemic at our level 1 trauma center (L1TC).

METHODS

We performed a retrospective review of female patients who presented to our L1TC because of violence from 2019 through 2020. Patients were grouped into a pre-COVID or COVID period. The primary aim of this study was to compare rates of VAW between groups. Secondary aims sought to evaluate for any difference in traumatic mechanism between periods and to determine if a temporal relationship existed between COVID-19 and VAW rates.

RESULTS

There was no difference in rates of VAW between the pre-COVID and COVID period (3.1% vs 3.6%, P = .6); however, rates of penetrating trauma were greater during the COVID period (38.2% vs 10.3%, P = .01). After controlling for patient age and race, the odds of penetrating trauma increased during the pandemic (OR 5.8, 95% CI 1.6-28.5, P < .01). From February 2020 through October 2020, there was a direct relationship between rates of COVID-19 and VAW (r2 .78, P < .01).

CONCLUSION

Rates of VAW were unchanged between the pre-COVID and COVID periods, yet the odds of penetrating VAW were 5 times greater during the pandemic. Moving forward, trauma surgeons must remain vigilant for signs of violence and ensure that support services are available during future crises.

Nightlife activity and crime: The impact of COVID-19 related nightlife restrictions on violent crime

OBJECTIVES

The present study examines how varying levels of restrictions on the nightlife economy have impacted violent crime during the COVID-19 pandemic and the extent to which the crime preventive side-effects of restrictions are associated with the density of alcohol outlets.

METHODS

The Data stems from geocoded locations of violent crimes combined with data on the density of on-premises alcohol outlets and the level of COVID-19 restrictions in Copenhagen, Denmark. We use a negative binomial count model with cluster robust standard error to assess the effect of the interaction between alcohol outlet density and COVID-related restriction levels on the nightlife economy on the frequency of violent crime.

RESULTS

The article reveals how both the level of restrictions on the nightlife economy and the density of alcohol outlets significantly impacted the frequency of violent crime. The regression analysis shows that the effect of restrictions on the nightlife economy depends on the concentration of on-premises alcohol outlets in the area. In areas with a high concentration of outlets, we observe a much higher reduction in crime as consequence of the COVID-19 related restrictions.

CONCLUSIONS

The results shows that a more restricted nightlife economy, including earlier closing times, could have a crime preventive effect, especially in areas with a high density of alcohol outlets.

Lockdown and licensed premises: COVID-19 lessons for alcohol policy

Introduction

The COVID‐19 pandemic necessitated unprecedented changes in alcohol availability, including closures, curfews and restrictions. We draw on new data from three UK studies exploring these issues to identify implications for premises licensing and wider policy.

Methods

(i) Semi‐structured interviews (n = 17) with licensing stakeholders in Scotland and England reporting how COVID‐19 has reshaped local licensing and alcohol‐related harms; (ii) semi‐structured interviews (n = 15) with ambulance clinicians reporting experiences with alcohol during the pandemic; and (iii) descriptive and time series analyses of alcohol‐related ambulance callouts in Scotland before and during the first UK lockdown (1 January 2019 to 30 June 2020).

Results

COVID‐19 restrictions (closures, curfews) affected on‐trade premises only and licensing stakeholders highlighted the relaxation of some laws (e.g. on takeaway alcohol) and a rise in home drinking as having long‐term risks for public health. Ambulance clinicians described a welcome break from pre‐pandemic mass public intoxication and huge reductions in alcohol‐related callouts at night‐time. They also highlighted potential long‐term risks of increased home drinking. The national lockdown was associated with an absolute fall of 2.14 percentage points [95% confidence interval (CI) −3.54, −0.74; P = 0.003] in alcohol‐related callouts as a percentage of total callouts, followed by a daily increase of +0.03% (95% CI 0.010, 0.05; P = 0.004).

Discussion and Conclusions

COVID‐19 gave rise to both restrictions on premises and relaxations of licensing, with initial reductions in alcohol‐related ambulance callouts, a rise in home drinking and diverse impacts on businesses. Policies which may protect on‐trade businesses, while reshaping the night‐time economy away from alcohol‐related harms, could offer a ‘win–win’ for policymakers and health advocates.

A global analysis of the impact of COVID-19 stay-at-home restrictions on crime

The stay-at-home restrictions to control the spread of COVID-19 led to unparalleled sudden change in daily life, but it is unclear how they affected urban crime globally. We collected data on daily counts of crime in 27 cities across 23 countries in the Americas, Europe, the Middle East and Asia. We conducted interrupted time series analyses to assess the impact of stay-at-home restrictions on different types of crime in each city. Our findings show that the stay-at-home policies were associated with a considerable drop in urban crime, but with substantial variation across cities and types of crime. Meta-regression results showed that more stringent restrictions over movement in public space were predictive of larger declines in crime.

Implementing the Cardiff Model for violence prevention: using the diffusion of innovation theory to understand facilitators and barriers to implementation

OBJECTIVE

Interpersonal violence is an ongoing, vexing public health issue. Communities require comprehensive timely data on violence to plan and implement effective violence prevention strategies. Emergency departments (EDs) can play an important role in violence prevention. EDs treat injuries associated with violent crime, and they are well-positioned to systematically collect information about these injuries, including the location where the injury occurred. The Cardiff Model for Violence Prevention (The Cardiff Model) provides a framework for interdisciplinary data collection and sharing.

METHODS

This paper uses the Diffusion of Innovation Theory as a framework to present our experiences of implementing the Cardiff Model in several EDs that serve the Milwaukee area, and to detail the processes of data collection, linking and presentation across four different hospital systems.

RESULTS

Implementing a city-wide data collection effort that involves multiple hospital systems is challenging. Viewing our findings through the lens of the Diffusion of Innovations theory provides a way to anticipate facilitators and challenges to Cardiff Model implementation in a hospital setting.

CONCLUSIONS

Facilitators and barriers to Cardiff Model adoption in the ED setting can be understood using the Diffusion of Innovation theory, and barriers can be interrupted through careful planning and continuous communication between partners.