Mass Gathering Event Medical Preparedness and Response: A Review of Canadian Legislation and Guidelines.

INTRODUCTION: The mass gathering event (MGE) industry is growing globally, including in countries such as Canada. MGEs have been associated with a greater prevalence of injury and illness when compared with daily life events, despite most participants having few comorbidities. As such, adequate health, safety, and emergency medical planning is required. However, there is no single entity regulating these concerns for MGEs, resulting in the responsibility for health planning lying with event organizers. This study aims to compare the legislative requirements for MGE medical response systems in the 13 provinces and territories of Canada. METHODS: This study is a cross-sectional descriptive analysis of Canadian legislation. Lists of publicly available legislative requirements were obtained by means of the emergency medical services directors and Health Ministries. Descriptive statistics were performed to compare legislation. RESULTS: Of the 13 provinces and territories, 10 responded. For the missing 3, a law library review confirmed the absence of specific legislation. Most (n = 6; 60%) provinces and territories referred to provisions in their Public Health laws. Four confirmed that MGE medical response was a municipal or local concern to be addressed by the event organizers. CONCLUSIONS: No provinces could list specific legislation guiding safety, health, and medical response for an MGE.

Modelling disease mitigation at mass gatherings: A case study of COVID-19 at the 2022 FIFA World Cup.

The 2022 FIFA World Cup was the first major multi-continental sporting Mass Gathering Event (MGE) of the post COVID-19 era to allow foreign spectators. Such large-scale MGEs can potentially lead to outbreaks of infectious disease and contribute to the global dissemination of such pathogens. Here we adapt previous work and create a generalisable model framework for assessing the use of disease control strategies at such events, in terms of reducing infections and hospitalisations. This framework utilises a combination of meta-populations based on clusters of people and their vaccination status, Ordinary Differential Equation integration between fixed time events, and Latin Hypercube sampling. We use the FIFA 2022 World Cup as a case study for this framework (modelling each match as independent 7 day MGEs). Pre-travel screenings of visitors were found to have little effect in reducing COVID-19 infections and hospitalisations. With pre-match screenings of spectators and match staff being more effective. Rapid Antigen (RA) screenings 0.5 days before match day performed similarly to RT-PCR screenings 1.5 days before match day. Combinations of pre-travel and pre-match testing led to improvements. However, a policy of ensuring that all visitors had a COVID-19 vaccination (second or booster dose) within a few months before departure proved to be much more efficacious. The State of Qatar abandoned all COVID-19 related travel testing and vaccination requirements over the period of the World Cup. Our work suggests that the State of Qatar may have been correct in abandoning the pre-travel testing of visitors. However, there was a spike in COVID-19 cases and hospitalisations within Qatar over the World Cup. Given our findings and the spike in cases, we suggest a policy requiring visitors to have had a recent COVID-19 vaccination should have been in place to reduce cases and hospitalisations.

Emergency pharmacy workforce views and experience related to the provision of pharmaceutical care during mass gathering events: the FIFA World Cup Qatar 2022™ experience.

Purpose: This study aimed to explore emergency pharmacy workforce perspectives and experiences in providing pharmaceutical care during mass gathering events (i.e., FIFA World Cup Qatar 2022™). Methods: A qualitative methodology was employed using focus groups discussions. Emergency pharmacists across Hamad Medical Corporation were invited to participate using a combination of purposive and snowball sampling. Focus groups were audio-recorded, transcribed verbatim, and validated. Inductive thematic analysis was undertaken to generate key themes and subthemes. Results: Four focus groups were conducted which included 21 participants and generated five major themes. Whilst participants had mixed opinions in relation to their preparedness to practice during the World Cup, they perceived their experience as successful and smooth. The primary perceived facilitators were management support, mobile medical units, and high public health awareness. The main highlighted barriers were related to staff insufficiency, medications availability, and cultural and language challenges. Participants recommended pharmacist's role identification in mass gatherings, development of pharmacy action plan, and offering simulation training and pharmacy-specific training. Conclusion: Despite the perceived barriers, pharmacists reported positive views in relation to their experience in providing pharmaceutical care during mass gatherings. Future research should focus on the development of theory-driven action framework for pharmacy departments to adopt during mass gatherings.

What is 'agency' in torture and trauma recovery? An inquiry into the properties and explanations of the concept of agency and it's impacts.

This paper presents learnings from trauma recovery mechanisms and social movements from around the world relating to a survivor's role and as such- their agency. It unpacks various conceptual frameworks as possible alternative, effective and strategic pathways in torture rehabilitation. Ongoing and new challenges such as resourcing, cultural adaptability limitations, lack of access to services and inhumane foreign policies pose barriers to established systems that render some practices inadequate in terms of meaningful service delivery or social impact for torture survivors (Wheildon et al., 2022, p. 1689). It is well documented that "Torture aims to dehumanise survivors through calculated acts of cruelty to remove the survivors' dignity and make them powerless." (Luci and Di Rado, 2020, p. 3). As such this paper deliberately straddles multiple thematic fields, all grappling with relatable notions of restoring power or agency to survivors. At the risk of discursiveness into fields beyond torture rehabilitation then, this paper aims to showcase and learn from other successful movements. It also invites you as the reader into this discourse of inquiry and self-reflection, in order to counter the ten- dency of assuming a prescriptive, blanket (or blank) meaning of survivor engagement activities. Its findings suggest the manifestation of bespoke programming according to context and survivors' needs. It does not suggest a systematic overhaul, but rather a shift of incremental and cumulative changes that are recognised as advantageous. This paper deep dives into theories on agency, looking firstly at the broader archetypes that provide commonality and structure before then exploring particularities from different contexts. Implications for practice are then discussed, with nuances drawn out from the findings.

A Retrospective Application of the Arbon and Hartman Models to the Union Cycliste International Mountain Bike World Cup.

INTRODUCTION: Outdoor activities have accelerated in the past several years. The authors were tasked with providing medical care for the Union Cycliste International (UCI) mountain biking World Cup in Snowshoe, West Virginia (USA) in September 2021. The Hartman and Arbon models were designed to predict patient presentation and hospital transport rates as well as needed medical resources at urban mass-gathering events. However, there is a lack of standardized methods to predict injury, illness, and insult severity at rural mass gatherings. STUDY OBJECTIVE: This study aimed to determine whether the Arbon model would predict, within 10%, the number of patient presentations to be expected and to determine if the event classification provided by the Hartman model would adequately predict resources needed during the event. METHODS: Race data were collected from UCI event officials and injury data were collected from participants at time of presentation for medical care. Predicted presentation and transport rates were calculated using the Arbon model, which was then compared to the actual observed presentation rates. Furthermore, the event classification provided by the Hartman model was compared to the resources utilized during the event. RESULTS: During the event, 34 patients presented for medical care and eight patients required some level of transport to a medical facility. The Arbon predictive model for the 2021 event yielded 30.3 expected patient presentations. There were 34 total patient presentations during the 2021 race, approximately 11% more than predicted. The Hartman model yielded a score of four. Based on this score, this race would be classified as an "intermediate" event, requiring multiple Advanced Life Support (ALS) and Basic Life Support (BLS) personnel and transport units. CONCLUSION: The Arbon model provided a predicted patient presentation rate within reasonable error to allow for effective pre-event planning and resource allocation with only a four patient presentation difference from the actual data. While the Arbon model under-predicted patient presentations, the Hartman model under-estimated resources needed due to the high-risk nature of downhill cycling. The events staffed required physician skills and air medical services to safely care for patients. Further evaluation of rural events will be needed to determine if there is a generalized need for physician presence at smaller events with inherently risky activities, or if this recurring cycling event is an outlier.

Psychosocial interventions and strategies to support young people at mass gathering events: a scoping review.

OBJECTIVES: To improve health and safety outcomes at mass gathering events (MGEs) for young attendees, it is essential to understand the psychosocial factors that may influence behaviour so that the implementation of support strategies before, during and after MGEs can be developed to enhance outcomes. This review identifies the psychosocial outcomes that may occur at MGEs, including social connection, substance use, risky behaviours and psychological distress and examines what interventions have been implemented to target these outcomes. STUDY DESIGN: Scoping review. METHODS: This study examined MGE psychosocial interventions with predominantly youth attendees was conducted using the Preferred Reporting Items of Systematic reviews and Meta-Analysis extension for Scoping Reviews guidelines. Papers were collected from the databases CINAHL, MEDLINE, Embase and PsycINFO. Titles and abstracts were scanned for relevance, followed by a full-text screening. Information relevant to the research question was extracted from papers meeting the inclusion criteria. RESULTS: Twenty-six papers met the inclusion criteria. The psychosocial factors that were most studied included social influence, social interactions and psychological stressors, which lead to behaviours such as excessive alcohol consumption, drug taking, risky casual sex and risk taking amongst psychological factors of young attendees. Effective interventions implemented before or during MGEs, such as alcohol-free zones, antidrinking campaigns, psychoeducation and disapproval from parents with regard to drinking alcohol, showed promise in reducing harms. CONCLUSION: Psychosocial interventions have the potential to reduce harms and enhance well-being for young people attending MGEs. This review has identified gaps and opportunities in the current literature with regard to psychosocial interventions and strategies to support young people at MGEs and makes recommendations to support the development and refinement of evidence-based interventions aimed at young MGE attendees.

The effect of environmental information on evolution of cooperation in stochastic games.

Many human interactions feature the characteristics of social dilemmas where individual actions have consequences for the group and the environment. The feedback between behavior and environment can be studied with the framework of stochastic games. In stochastic games, the state of the environment can change, depending on the choices made by group members. Past work suggests that such feedback can reinforce cooperative behaviors. In particular, cooperation can evolve in stochastic games even if it is infeasible in each separate repeated game. In stochastic games, participants have an interest in conditioning their strategies on the state of the environment. Yet in many applications, precise information about the state could be scarce. Here, we study how the availability of information (or lack thereof) shapes evolution of cooperation. Already for simple examples of two state games we find surprising effects. In some cases, cooperation is only possible if there is precise information about the state of the environment. In other cases, cooperation is most abundant when there is no information about the state of the environment. We systematically analyze all stochastic games of a given complexity class, to determine when receiving information about the environment is better, neutral, or worse for evolution of cooperation.

Quantifying the effect of isolation and negative certification on COVID-19 transmission.

Isolation of close contact people and negative test certification are used to manage the spread of new coronavirus infections worldwide. These effectively prevent the spread of infection in advance, but they can lead to a decline in socio-economic activity. Thus, the present study quantified the extent to which isolation and negative test certification respectively reduce the risk of infection. To this end, a discrete-time SEIR model was used as the infectious disease model, and equations for calculating the conditional probability of non-infection status given negative test results on two different days were derived. Then the respective non-infection probabilities with two negative PCR test results, and with one negative PCR test result and one antigen test result, were quantified. By substituting initial parameters of the SEIR model into these probabilities, the present study revealed the following: (1) isolating close contact individuals can reduce by [Formula: see text] the risk of infection during the first 5 days, but five more days are needed to reduce the risk [Formula: see text] more, and seven more days to reduce the risk [Formula: see text] more; and (2) if an individual with a negative PCR test result has a negative antigen test result the next day, then his or her infection probability is between 0.6 and [Formula: see text]. Our results show that 5-day isolation has a proportionally greater effect on risk reduction, compared to longer isolation; and thus, if an isolation period of longer than 5 days is contemplated, both the risk reduction and the negative effects from such increased isolation should be considered. Regarding negative test certification, our results provide those in managerial positions, who must decide whether to accept the risk and hold mass-gathering events, with quantitative information that may be useful in their decision-making.

How the Italian Formula 1 Grand Prix 2022 Mass Gathering Event Compares to the Arbon Model: A Descriptive Study.

OBJECTIVE: To describe the health-care resources implemented during the Italian Formula 1 Grand Prix (F1GP) and to calculate the patient presentation rate (PPR) based on both real data and a prediction model. METHODS: Observational and descriptive study conducted from September 9 to September 11, 2022, during the Italian F1GP hosted in Monza (Italy). Maurer's formula was applied to decide the number and type of health resources to be allocated. Patient presentation rate (PPR) was computed based on real data (PPR_real) and based on the Arbon formula (PPR_est). RESULTS: Of 336,000 attendees, n = 263 requested medical assistance with most of them receiving treatment at the advanced medical post, and n = 16 needing transport to the hospital. The PPR_real was 51 for Friday, 78 for Saturday, 134 for Sunday, and 263 when considering the whole event as a single event. The PPR_est resulted in 85 for Friday, 93 for Saturday, 97 for Sunday, and 221 for the total population. CONCLUSIONS: A careful organization of health-care resources could mitigate the impact of the Italian F1GP on local hospital facilities. The Arbon formula is an acceptable model to predict and estimate the number of patients requesting medical assistance, but further investigation needs to be conducted to implement the model and tailor it to broader categories of MGE.

Clashes and crowds: protests, riots, and other mass gathering events in North America 2021-2022.

OBJECTIVE: This study aimed to provide an overview of the scope and challenges of historic events and help better prepare emergency healthcare services for future similar mass gathering events. STUDY DESIGN: This was a retrospective descriptive analysis of protest and conflict events in North America from 2021 to 2022. INTRODUCTION: Recent protests, riots, and other conflict events in North America have highlighted the increasing challenges hospital-based and prehospital healthcare providers face. This study provides a retrospective descriptive analysis of protest and conflict events in North America from 2021 to 2022, which may aid emergency healthcare services in understanding the scope and challenges of historic events and help better prepare for future similar mass gathering events. METHODS: Data collection was performed using a retrospective database search through the Armed Conflict Location & Event Data Project (ACLED) database. The ACLED database was searched using the internal database search functions for recorded events that occurred in North America from January 1, 2021 to December 31, 2022. Date, event type, event subtype, the country of incident, and fatality numbers were extracted. The results were exported into an Excel spreadsheet and analyzed independently by L.C., H.S., and R.H. RESULTS: There were a total of 52,529 recorded events of political conflict in North America, with 30,269 events in 2021 and 29,260 in 2022. Political conflict events included protests (40,934, 68.8%), violence against civilians (11,532, 19.4%), strategic developments (2,819, 4.7%), battles (2,293, 3.9%), riots (1,909, 3.2%), and remote violence (42, 0.1%). Violence against civilians caused the highest fatalities (13,466, 82.6%), followed by battles (2,662, 16.3%), riots (111, 0.7%), strategic developments, remote violence, and protests (57, 6, and 3 respectively). CONCLUSION: Mexico and the United States accounted for most of the political conflicts in North America across 2021 and 2022. In Mexico, protests and violence against civilians were the most common types of conflict, with the latter accounting for the comparatively high fatality compared with the other countries. Battles in Mexico between cartels were the most deadly political conflicts recorded in North America.

Effectiveness of Public Health Digital Surveillance Systems for Infectious Disease Prevention and Control at Mass Gatherings: Systematic Review.

BACKGROUND: Mass gatherings (MGs; eg, religious, sporting, musical, sociocultural, and other occasions that draw large crowds) pose public health challenges and concerns related to global health. A leading global concern regarding MGs is the possible importation and exportation of infectious diseases as they spread from the attendees to the general population, resulting in epidemic outbreaks. Governments and health authorities use technological interventions to support public health surveillance and prevent and control infectious diseases. OBJECTIVE: This study aims to review the evidence on the effectiveness of public health digital surveillance systems for infectious disease prevention and control at MG events. METHODS: A systematic literature search was conducted in January 2022 using the Ovid MEDLINE, Embase, CINAHL, and Scopus databases to examine relevant articles published in English up to January 2022. Interventional studies describing or evaluating the effectiveness of public health digital surveillance systems for infectious disease prevention and control at MGs were included in the analysis. Owing to the lack of appraisal tools for interventional studies describing and evaluating public health digital surveillance systems at MGs, a critical appraisal tool was developed and used to assess the quality of the included studies. RESULTS: In total, 8 articles were included in the review, and 3 types of MGs were identified: religious (the Hajj and Prayagraj Kumbh), sporting (the Olympic and Paralympic Games, the Federation International Football Association World Cup, and the Micronesian Games), and cultural (the Festival of Pacific Arts) events. In total, 88% (7/8) of the studies described surveillance systems implemented at MG events, and 12% (1/8) of the studies described and evaluated an enhanced surveillance system that was implemented for an event. In total, 4 studies reported the implementation of a surveillance system: 2 (50%) described the enhancement of the system that was implemented for an event, 1 (25%) reported a pilot implementation of a surveillance system, and 1 (25%) reported an evaluation of an enhanced system. The types of systems investigated were 2 syndromic, 1 participatory, 1 syndromic and event-based, 1 indicator- and event-based, and 1 event-based surveillance system. In total, 62% (5/8) of the studies reported timeliness as an outcome generated after implementing or enhancing the system without measuring its effectiveness. Only 12% (1/8) of the studies followed the Centers for Disease Control and Prevention guidelines for evaluating public health surveillance systems and the outcomes of enhanced systems based on the systems' attributes to measure their effectiveness. CONCLUSIONS: On the basis of the review of the literature and the analysis of the included studies, there is limited evidence of the effectiveness of public health digital surveillance systems for infectious disease prevention and control at MGs because of the absence of evaluation studies.

Undiagnosed and missed active pulmonary tuberculosis during mass gatherings: a prospective cross-sectional study from the Hajj pilgrimage.

Mass gatherings increase the risk of infectious diseases transmission including tuberculosis (TB). The Hajj pilgrimage to Mecca, Saudi Arabia, is attended by over 2 million pilgrims many of whom are from high TB-burden countries, and has been linked to increased risk of TB acquisition among travellers. We investigated the burden of undiagnosed and missed active pulmonary TB (PTB) among Hajj pilgrims symptomatic for cough. The study was conducted among hospitalised and non-hospitalised travellers attending the Hajj pilgrimage in 2016 and 2017. Questionnaires were used to collect relevant data and sputum samples were collected from participants and processed using the Xpert MTB-RIF assay. Non-hospitalised pilgrims (n = 1510) originating from 16 high and medium TB-burden countries were enrolled. Undiagnosed, rifampicin-sensitive, active PTB was identified in 0.7%. Comorbidities (adjOR = 5.9 [95% CI = 1.2-27.8]), close contact with a TB case (adjOR = 5.9 [95% CI = 1.2-27.8]), cough in household (adjOR = 4.46 [95% CI = 1.1-19.5]), and previous TB treatment (adjOR = 10.1 [95% CI = 4.1-98.1]) were independent risk factors for TB. Of the hospitalised pilgrims (n = 304), 2.9% were positive for PTB, and 2.3% were missed, including a rifampicin-resistant case. History of TB treatment was associated with increased risk of TB (adjOR = 8.1 [95% CI = 1.3-48.7]). International mass gatherings may play an important role in the global epidemiology of TB. Preventive measures should be directed to reducing the risk of TB importation and transmission during Hajj and other similar events.

Mass gathering events and transmission of respiratory tract infections: updates pre and post COVID-19 lockdown.

PURPOSE OF REVIEW: This article reviews the epidemiology and transmission of respiratory tract infections (RTIs) during mass gathering events (MGEs) before and during the COVID-19 pandemic. RECENT FINDINGS: RTIs of viral cause such as influenza, rhinovirus and coronaviruses (229E, HKU1, OC43) are common in MGEs. No cases of MERS-CoV have yet been identified in pilgrims during Hajj, despite the fact that MERS-CoV continues to circulate in the Middle East. Due to the COVID-19 pandemic, organizers of mass gathering religious and sporting events have implemented risk-based infection control measures and lockdowns that limited transmission of RTIs. SUMMARY: Large-scale RTI outbreaks at MGEs are uncommon due to more robust public health planning, prevention, risk assessment and improved health infrastructures in host countries during the COVID-19 pandemic.

Technology, Training, and Task Shifting at the World's Largest Mass Gathering in 2025: An Opportunity for Antibiotic Stewardship in India.

The role of antibiotic overuse in intensifying selection pressures and contributing to the emergence of antimicrobial resistance is well established. The Kumbh Mela, a religious festival that occurs in 4 Indian cities of spiritual significance, is the world's largest mass gathering, attracting over 80 million pilgrims in 2013. Digital syndromic surveillance from the 2013 and 2015 Melas demonstrated a consistent pattern of antibiotic overuse, with an antibiotic prescribing rate of up to 31% for all patient encounters. As preparations for the 2025 Kumbh Mela begin, task shifting, point-of-care diagnostic and digital tools, robust clinician training, and community awareness can promote the restrained and evidence-based use of antibiotics, minimizing the potential for the emergence of antimicrobial resistance at the world's largest mass gathering.

The impact of mass gatherings on the local transmission of COVID-19 and the implications for social distancing policies: Evidence from Hong Kong.

Mass gatherings provide conditions for the transmission of infectious diseases and pose complex challenges to public health. Faced with the COVID-19 pandemic, governments and health experts called for suspension of gatherings in order to reduce social contact via which virus is transmitted. However, few studies have investigated the contribution of mass gatherings to COVID-19 transmission in local communities. In Hong Kong, the coincidence of the relaxation of group gathering restrictions with demonstrations against the National Security Law in mid-2020 raised concerns about the safety of mass gatherings under the pandemic. Therefore, this study examines the impacts of mass gatherings on the local transmission of COVID-19 and evaluates the importance of social distancing policies. With an aggregated dataset of epidemiological, city-level meteorological and socioeconomic data, a Synthetic Control Method (SCM) is used for constructing a 'synthetic Hong Kong' from over 200 Chinese cities. This counterfactual control unit is used to simulate COVID-19 infection patterns (i.e., the number of total cases and daily new cases) in the absence of mass gatherings. Comparing the hypothetical trends and the actual ones, our results indicate that the infection rate observed in Hong Kong is substantially higher than that in the counterfactual control unit (2.63% vs. 0.07%). As estimated, mass gatherings increased the number of new infections by 62 cases (or 87.58% of total new cases) over the 10-day period and by 737 cases (or 97.23%) over the 30-day period. These findings suggest the necessity of tightening social distancing policies, especially the prohibition on group gathering regulation (POGGR), to prevent and control COVID-19 outbreaks.

Case study of the Beijing 2022 Olympic Winter Games: Implications for global mass gathering events amidst the COVID-19 pandemic.

Objective: This study aimed to evaluate the public health countermeasures against coronavirus disease 2019 (COVID-19) that are important for organizing mass gathering events (MGEs) during a pandemic and to identify the practices suitable for application at future MGEs. Methods: This study analyzed data from the Beijing 2022 Olympic Winter Games. The aforementioned analysis was conducted from the viewpoints of overseas stakeholders and Chinese residents. The comprehensive set of countermeasures established to prevent the transmission of the COVID-19 pandemic comprised the bubble strategy, the three-layer testing strategy (pre-departure testing, testing at the airport, and daily screening), the mandatory wearing of N95 masks, and mandatory vaccination. Findings: A total of 437 positive cases within the bubble were reported during the Games, of which 60.6% were detected through screening at the airport and 39.4% were detected through routine screening. Nearly, 92.0% of the positive cases were detected within 7 days of arrival in China, and 80.8% of the cases had already been identified before the Opening Ceremony of the Games. Outside the bubble, no Games stakeholders were infected and no spectator contracted COVID-19. The bubble strategy, the three-layer testing strategy, the mandatory wearing of N95 masks, and mandatory vaccination are promising countermeasures to prevent the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during MGEs. Conclusion: Public health countermeasures introduced during the Beijing 2022 Olympic Winter Games were proven to be useful. The success in delivering and organizing the Games instills confidence and leaves a public health legacy for future MGEs amid the pandemic of COVID-19 or future emerging infectious diseases.