Crowding under scotopic and photopic vision in albino and normal-sighted participants.

Crowding is a phenomenon in which the ability to recognize an object in a clutter deteriorates. It is, therefore, a fundamental aspect of object recognition and crucial in deciphering resolution. For visually impaired individuals, deficiency in crowding has a tremendous effect on vision and may reflect and predict the amount of deterioration in vision. It is well established that albinos suffer much more from crowding than normally sighted individuals under daylight luminance conditions. However, to our knowledge, this study is the first to investigate crowding in albino participants under low light conditions. In this study, we explored the crowding effect in a group of albino participants (n = 9) and a control group of normally sighted participants (n = 9). Crowding was conducted under daylight (photopic vision) and low light (scotopic vision). We measured the visual acuity threshold under crowding in three-letter spacing (0.5, 1, and 1.5) and compared it to a single target. Results indicate that albino participants experienced stronger crowding than the control under the photopic condition, while crowding under the scotopic condition was apparent in the albino but abolished for the control group. These findings highlight the importance of considering luminance when discussing the visually impaired population in general. In particular, it suggests that crowding in albinism is based on a peripheral-like mechanism and may indicate a cessation in visual development.

Glastonbury Festival: Medical Care at the World's Largest Greenfield Music Festival.

INTRODUCTION: Music festivals have become an increasingly popular form of mass-gathering event, drawing an increasing number of attendees across the world each year. While festivals exist to provide guests with an enjoyable experience, there have been instances of serious illness, injury, and in some cases death. Large crowds, prolonged exposure to loud music, and high rates of drug and alcohol consumption can pose a dangerous environment for guests as well as those looking after them. METHODS: A retrospective review of electronic patient records (EPRs) at the 2022 Glastonbury Festival was undertaken. All patients who attended medical services on-site during the festival and immediately after were included. Patient demographics, diagnosis, treatment received, and discharge destination were obtained and analyzed. RESULTS: A total of 2,828 patients received on-site medical care. The patient presentation rate (PPR) was 13.47 and the transport-to-hospital rate (TTHR) was 0.30 per 1,000 guests. The most common diagnoses were joint injuries, gastrointestinal conditions, and blisters. Only 164 patients (5.48%) were diagnosed as being intoxicated. Overall, 552 patients (19.52%) were prescribed a medication to take away and 268 (9.48%) had a dressing for a minor wound. One patient (0.04%) underwent a general anesthetic and no patients required cardiopulmonary resuscitation. Most patients were discharged back to the festival site (2,563; 90.66%). DISCUSSION: Minor conditions were responsible for many presentations and most patients only required mild or non-invasive interventions, after which they could be safely discharged back to the festival. Older adults were diagnosed with a different frequency of conditions compared to the overall study population, something not reported previously. Intoxicated patients only accounted for a very small amount of the medical workload.

Quantitative Metrics in Mass-Gathering Studies: A Comprehensive Systematic Review.

INTRODUCTION: Mass gatherings are events where many people come together at a specific location for a specific purpose, such as concerts, sports events, or religious gatherings, within a certain period of time. In mass-gathering studies, many rates and ratios are used to assess the demand for medical resources. Understanding such metrics is crucial for effective planning and intervention efforts. Therefore, this systematic review aims to investigate the usage of rates and ratios reported in mass-gathering studies. METHODS: In this systematic review, the PRISMA guidelines were followed. Articles published through December 2023 were searched on Web of Science, Scopus, Cochrane, and PubMed using the specified keywords. Subsequently, articles were screened based on titles, abstracts, and full texts to determine their eligibility for inclusion in the study. Finally, the articles that were related to the study's aim were evaluated. RESULTS: Out of 745 articles screened, 55 were deemed relevant for inclusion in the study. These included 45 original research articles, three special reports, three case presentations, two brief reports, one short paper, and one field report. A total of 15 metrics were identified, which were subsequently classified into three categories: assessment of population density, assessment of in-event health services, and assessment of out-of-event health services. CONCLUSION: The findings of this study revealed notable inconsistencies in the reporting of rates and ratios in mass-gathering studies. To address these inconsistencies and to standardize the information reported in mass-gathering studies, a Metrics and Essential Ratios for Gathering Events (MERGE) table was proposed. Future research should promote consistency in terminology and adopt standardized methods for presenting rates and ratios. This would not only enhance comparability but would also contribute to a more nuanced understanding of the dynamics associated with mass gatherings.

Early warning on safety risk of highly aggregated tourist crowds based on VGGT-Count network model.

In the era of mass tourism, more and more people are attracted by internet-famous site. With people's demand for travel surged, tourists are getting together in one scenic spot with doubling numbers, which easily leads to high concentration of tourists with uncontrollable security risks. It needs to be highly valued by the tourism department. Monitoring and issuing warnings for crowd density in scenic areas with Highly Aggregated Tourist Crowds (HATCs) is an urgent challenge that needs to be addressed. In this paper, Highly Aggregated Tourist Crowds is taken as the research objective, and a VGGT-Count network model is proposed to forecast the density of HATCs. The experimental outcomes demonstrated a substantial improvement in counting accuracy for the ShanghaiTech B and UCF-QNRF datasets. Furthermore, the model allows for real-time monitoring of tourist attractions, enabling advanced prediction of high concentrations in scenic areas. This timely information can alert relevant authorities to implement preventive measures such as crowd control and flow regulation, thereby minimizing safety hazards.

An Effective Methodology for Scoring to Assist Emergency Physicians in Identifying Overcrowding in an Academic Emergency Department in Thailand.

BACKGROUND: Emergency Department (ED) overcrowding is a global concern, with tools like NEDOCS, READI, and Work Score used as predictors. These tools aid healthcare professionals in identifying overcrowding and preventing negative patient outcomes. However, there's no agreed-upon method to define ED overcrowding. Most studies on this topic are U.S.-based, limiting their applicability in EDs without waiting rooms or ambulance diversion roles. Additionally, the intricate calculations required for these scores, with multiple variables, make them impractical for use in developing nations. OBJECTIVE: This study sought to examine the relationship between prevalent ED overcrowding scores such as EDWIN, occupancy rate, and Work Score, and a modified version of EDWIN newly introduced by the authors, in comparison to the real-time perspectives of emergency physicians. Additionally, the study explored the links between these overcrowding scores and adverse events related to ED code activations as secondary outcomes. METHOD: The method described in the provided text is a correlational study. The study aims to examine the relationship between various Emergency Department (ED) overcrowding scores and the real-time perceptions of emergency physicians in every two-hour period. Additionally, it seeks to explore the associations between these scores and adverse events related to ED code activations. RESULTS: The study analyzed 459 periods, with 5.2% having Likert scores of 5-6. EDOR had the highest correlation coefficient (0.69, p < 0.001) and an AUC of 0.864. Only EDOR significantly correlated with adverse events (p = 0.033). CONCLUSION: EDOR shows the most robust link with 'emergency physicians' views on overcrowding. Additionally, elevated EDOR scores correlate with a rise in adverse events. Emergency physicians' perceptionof overcrowding could hint at possible adverse events. Notably, all overcrowding scores have high negative predictive values, efficiently negating the likelihood of adverse incidents.

The nature of anchor-biased estimates and its application to the wisdom of crowds.

We propose a method to achieve better wisdom of crowds by utilizing anchoring effects. In this method, people are first asked to make a comparative judgment such as "Is the number of new COVID-19 infections one month later more or less than 10 (or 200,000)?" As in this example, two sufficiently different anchors (e.g., "10" or "200,000") are set in the comparative judgment. After this comparative judgment, people are asked to make their own estimates. These estimates are then aggregated. We hypothesized that the aggregated estimates using this method would be more accurate than those without anchor presentation. To examine the effectiveness of the proposed method, we conducted three studies: a computer simulation and two behavioral experiments (numerical estimation of perceptual stimuli and estimation of new COVID-19 infections by physicians). Through computer simulations, we could identify situations in which the proposed method is effective. Although the proposed method is not always effective (e.g., when a group can make fairly accurate estimations), on average, the proposed method is more likely to achieve better wisdom of crowds. In particular, when a group cannot make accurate estimations (i.e., shows biases such as overestimation or underestimation), the proposed method can achieve better wisdom of crowds. The results of the behavioral experiments were consistent with the computer simulation findings. The proposed method achieved better wisdom of crowds. We discuss new insights into anchoring effects and methods for inducing diverse opinions from group members.

Interorganizational Knowledge Transfer in Mass Gatherings: Exploring the Health and Safety Stakeholders' Perceptions Participating in the Athens Marathon.

INTRODUCTION: Mass gatherings (MGs) usually represent significant challenges for the public health and safety sector of the host cities. Organizing a safe and successful mass event highly depends on the effective collaboration among different public and private organizations. It is necessary to establish successful coordination to ensure that all the key stakeholders understand their respective roles and responsibilities. The inconsistency between the variety of participating agencies because of their different culture can result in delays in decision making. Interorganizational knowledge transfer can improve the success of the event; however, knowledge transfer among professionals and agencies in MGs is not well-documented. OBJECTIVE: This study used the 2018 Athens Marathon as the empirical setting to examine how interorganizational knowledge transfer was perceived among the multiple public health and safety professionals during the planning stage of the event. METHODS: Data comprised 18 semi-structured, in-depth interviews with key informants, direct observations of meetings, and documentary analysis. Open coding and thematic analysis were used to analyze the data. RESULTS: Findings indicated that sharing the acquired knowledge was a necessary and challenging step to create an enabling collaborative environment among interacting organizations. Experiential learning was identified as a significant factor, which helped promote joint understanding and partnership work. Informal interpersonal exchanges and formal knowledge transfer activities facilitated knowledge sharing across organizational boundaries, helping to break down silos. CONCLUSION: Interorganizational knowledge transfer is a necessary step to achieve joint understanding and create an environment where interaction among agencies can be more effective. The study findings can be beneficial for organizers of marathons and other mass sporting events to support valuable interorganizational collaboration and conduct a safe event.

Data-driven mathematical simulation analysis of emergency evacuation time in smart station's operations management.

This research establishes an emergency evacuation time model specifically designed for subway stations with complex structures. The model takes into account multiple factors, including passenger flow rate, subway facility parameters, and crowd density, to accurately assess evacuation times. It considers the impact of horizontal walking distance, flow rate, subway train size, and stair parameters on the overall evacuation process. By identifying bottleneck points such as gates, car doors, and stairs, the model facilitates the evaluation of evacuation capacity and the formulation of effective evacuation plans, particularly in multiline subway transfer stations. The good consistency is achieved between the calculated evacuation time and simulated results using the Pathfinder software (with the relative error of 5.4%). To address urban traffic congestion and enhance subway station safety, the study recommends implemented measures for emergency diversion and passenger flow control. Additionally, the research presents characteristic mathematical models for various evacuation routes by considering the structural and temporal characteristics of metro systems. These models provide valuable guidance for conducting large-scale passenger evacuation simulations in complex environments. Future research can further enhance the model by incorporating psychological factors, evacuation signage, and strategies for vulnerable populations. Overall, this study contributes to a better understanding of evacuation dynamics and provides practical insights to improve safety and efficiency in subway systems.

Development of an Emergency Department Surge Plan Based on the NEDOCS score.

Context: Emergency Department (ED) overcrowding is a significant problem worldwide. Many factors contribute to ED overcrowding, including staffing shortages, diagnostic testing delays, and inadequate inpatient beds to meet the demand. ED overcrowding results in patient safety issues like higher inpatient mortality and other negative impacts, such as an increased length of stay (LOS) and an increased trend of leaving the ED before undergoing an evaluation and treatment. The National emergency department overcrowding study (NEDOCS) is a scoring system to detect ED overcrowding objectively. Objective: To determine the impact of implementing an ED adult surge plan on ED throughput. Study Design: Prospective single-site study of adults presenting to the ED from January to April 2023. Setting or Dataset: Academic medical center. Population studied: Adult ED patients. Outcome Measures: Mean adult ED hold times, mean ED LOS, left without seen rate, mean door-to-doctor exam time, mean NEDOCS scores. Results: This analysis included 16,701 ED visits and 12,269 patients. During this time, 3,751 (22.5%) patients were admitted to inpatient status, and 1,413 (8.5%) were admitted to observation status. Pre-implementation, the mean ED hold time was 9.9 hours which decreased to 5.7 hours post-implementation (p=0.03). Pre-implementation, the mean ED LOS was 15.4 hours which decreased to 14.1 hours post-implementation (p=ns). Pre-implementation, the left without being seen rate was 4.8%, which decreased to 4.0% post-implementation (p=ns). Pre-implementation, the mean door-to-doctor exam time was 57.6 minutes which decreased to 54.0 minutes postimplementation (p=ns). Pre-implementation, the mean NEDOCS score was 186.2, which decreased to 131.2 post-implementation (p<0.0001). Conclusions: Our study suggests that implementing an ED adult surge plan can significantly improve ED hold hours and NEDOCS scores. However, it is important to note that other important ED throughput metrics (mean ED LOS, left without seen rate, mean door-to-doctor exam time) did not significantly improve. Further research may be necessary to understand the factors contributing to these outcomes and identify additional interventions that may improve ED throughput.

Does crowding predict conjunction search? An individual differences approach.

Searching for objects in the visual environment is an integral part of human behavior. Most of the information used during such visual search comes from the periphery of our vision, and understanding the basic mechanisms of search therefore requires taking into account the inherent limitations of peripheral vision. Our previous work using an individual differences approach has shown that one of the major factors limiting peripheral vision (crowding) is predictive of single feature search, as reflected in response time and eye movement measures. Here we extended this work, by testing the relationship between crowding and visual search in a conjunction-search paradigm. Given that conjunction search involves more fine-grained discrimination and more serial behavior, we predicted it would be strongly affected by crowding. We tested sixty participants with regard to their sensitivity to both orientation and color-based crowding (as measured by critical spacing) and their efficiency in searching for a color/orientation conjunction (as indicated by manual response times and eye movements). While the correlations between the different crowding tasks were high, the correlations between the different crowding measures and search performance were relatively modest, and no higher than those previously observed for single-feature search. Instead, observers showed very strong color selectivity during search. The results suggest that conjunction search behavior relies more on top-down guidance (here by color) and is therefore relatively less determined by individual differences in sensory limitations as caused by crowding.

In-house environmental factors and childhood acute respiratory infections in under-five children: a hospital-based matched case-control study in Bangladesh.

BACKGROUND: Acute respiratory infection (ARI) is one of the leading causes of morbidity and mortality among children under five globally, particularly in regions like South Asia and sub-Saharan Africa. Bangladesh has made substantial progress in reducing child mortality, yet pneumonia remains a significant contributor to under-five deaths. This study aimed to investigate the association between in-house environmental factors and childhood ARI, considering factors such as household crowding, smoking, and sanitation facilities. METHODS: This case-control study was conducted at a tertiary-level children's hospital in Dhaka, Bangladesh, from March to September 2019. The study included children aged 6-59 months. Cases were children with ARI symptoms, while controls were children without such symptoms. Rigorous matching by age and gender was employed to ensure comparability. Data were collected through structured questionnaires, and bivariate and conditional logistic regression analyses were performed. RESULTS: Several household environmental factors were significantly associated with childhood ARIs. Children from overcrowded households (AOR = 2.66, 95% CI = 1.52-4.71; p < 0.001), those using unclean cooking fuels (OR = 2.41, 95% CI: 1.56, 3.73; p = < 0.001), those exposed to in-house smoking (AOR = 1.74, 95% CI = 1.01, 3.05; p = 0.04) and those with unimproved sanitation facilities faced higher odds (AOR = 4.35, 95% CI = 2.14-9.26) of ARIs. Additionally, preterm birth and higher birth order were associated with an increased risk of ARI. In contrast, exclusive breastfeeding was a protective factor. CONCLUSION: In-house environmental factors, including sanitation, crowding and in-house smoking, significantly influence childhood ARIs. Additionally, birth order and preterm birth play a crucial role. Promoting exclusive breastfeeding is associated with a lower ARI risk among under-five children in Bangladesh. These findings can guide interventions to reduce ARIs in low-income regions, particularly in South Asia.

Moderating effect of alexithymia between problem gambling and psychotic experiences in university students.

BACKGROUND: Most of the young individuals with problem gambling (PG) or psychotic experiences (PEs) are less prone to seek medical help. Therefore, community-based studies investigating the relationship between these entities in non-clinical young people across a continuum of severity are warranted. To this end, the present study proposes to advance knowledge on the mechanisms that potentially underlie the association between PG and PEs, by examining the role of a potential moderator, i.e. alexithymia, in this relationship. METHODS: A total of 399 participants enrolled in this study (mean age = 21.58 ± 3.20 years) participated in an online cross-sectional survey. The South Oaks Gambling Screen (SOGS), the Prodromal Questionnaire-Brief (PQ-B), and the Toronto alexithymia scale (TAS-20) were used. RESULTS: Thirty-three (8.3%) participants had problem-gambling, whereas 13 (3.3%) were probable pathological gamblers. Moderation analysis results adjusted over confounders (age, household crowding index, marital status, personal history of mental disorder, other illegal drug use) showed that the interaction PG by alexithymia (p = .018) was significantly associated with PEs scores. At moderate (Beta = 1.93) and high (Beta = 3.38) levels of alexithymia, more PG was significantly associated with more PEs scores. CONCLUSION: Findings suggest that GP may have a different impact on PEs depending on the individual's level of alexithymia. As such, both alexithymia and gambling behavior should be considered in the clinical assessment of young people who present with PEs, which can help in implementing more tailored and individualized treatment plans.

The mediating effect of dysmorphic concern in the association between avoidant restrictive food intake disorder and suicidal ideation in adults.

BACKGROUND: Reflecting on the existing literature on suicidal ideation and Avoidant/Restrictive Food Intake Disorder (ARFID), this article investigates the complex relationship between them, hypothesizing about the possibility of dysmorphic concerns, being a mediator linking ARFID to suicidal ideation. METHODS: Using a snowball sampling approach, a survey was created on Google Forms and circulated across messaging applications and social media networks (WhatsApp, Instagram, Messenger). The sample involved 515 participants recruited between February and March 2023. The questionnaire included the following scales: Nine-items Avoidant/Restrictive Food Intake Disorder screen (NIAS), Dysmorphic Concern Questionnaire (DCQ), and Columbia-Suicide Severity Rating Scale (C-SSRS). When filling the questionnaire, respondents were warned that they can experience distress when answering certain questions and received information about mental health services. Five hundred fifteen adults participated in this study, with a mean age of 27.55 ± 10.92 years and 60.1% females. RESULTS: After adjusting over potential confounders (i.e., age, education, marital status, and household crowding index), analyses showed that dysmorphic concerns fully mediated the association between avoidant restrictive eating and suicidal ideation. Higher avoidant restrictive eating was significantly associated with more dysmorphic concerns, and higher dysmorphic concerns were significantly associated with the presence of suicidal ideation. Finally, avoidant restrictive eating was not significantly associated with suicidal ideation. CONCLUSION: This study highlights the potential indirect link between ARFID and suicidal ideation mediated by dysmorphic concerns. While no direct connection was observed between ARFID and suicidal ideation, the presence of dysmorphic concerns appeared to be a crucial factor in amplifying the risk of suicidal ideation in individuals with ARFID. This emphasizes the importance of addressing dysmorphic concerns alongside ARFID treatment to enhance mental health interventions and outcomes.

Foveal crowding for large and small Landolt Cs: Similarity and Attention.

We compare the recognition of foveal crowded Landolt Cs of two sizes: brief (40 ms), large, low-contrast Cs and high-contrast (1 sec) tests at the resolution limit of the visual system. In different series, the test Landolt C was surrounded by two identical distractors located symmetrically along the horizontal or by a single distractor. The distractors were Landolt Cs or rings. At the resolution limit, the critical spacing was similar in the two series and did not depend on the type of distractor. The result supports the hypothesis that crowding at the resolution limit occurs when both the test and the distractors fall into the same smallest receptive field responsible for the target recognition. For large stimuli, at almost all separations distractors of the same shape caused greater impairment than did rings, and recognition errors were non-random. The critical spacing was equal to 0.5 test diameters only in the presence of one distracting Landolt C. This result suggests that attention is involved: When one distractor is added, involuntary attention, which is directed to the centre of gravity of the stimulus, can lead to confusion of features that are present in both tests and distractors and thus to non-random errors.

Factors Associated with the Number of Injured and Fatalities in Motor Vehicle Intentional Mass-Casualty Incidents: A Timely Aid for Scaling the Emergency Response.

INTRODUCTION: Intentional mass-casualty incidents (IMCIs) involving motor vehicles (MVs) as weapons represent a growing trend in Western countries. This method has resulted in the highest casualty rates per incident within the field of IMCIs. Consequently, there is an urgent requirement for a timely and accurate casualty estimation in MV-induced IMCIs to scale and adjust the necessary health care resources. STUDY OBJECTIVE: The objective of this study is to identify the factors associated with the number of casualties during the initial phase of MV-IMCIs. METHODS: This is a retrospective, observational, analytical study on MV-IMCIs world-wide, from 2000-2021. Data were obtained from three different sources: Targeted Automobile Ramming Mass-Casualty Attacks (TARMAC) Attack Database, Global Terrorism Database (GTD), and the vehicle-ramming attack page from the Wikipedia website. Jacobs' formula was used to estimate the population density in the vehicle's route. The primary outcome variables were the total number of casualties (injured and fatalities). Associations between variables were analyzed using Spearman's correlation coefficient and simple linear regression. RESULTS: Forty-six MV-IMCIs resulted in 1,636 casualties (1,430 injured and 206 fatalities), most of them caused by cars. The most frequent driving pattern was accelerating whilst approaching the target, with an average speed range between four to 130km/h and a distance traveled between ten to 2,260 meters. The people estimated in the MV-IMCI scenes ranged from 36-245,717. A significant positive association was found of the number affected with the estimated crowd in the scene (R2: 0.64; 95% CI, 0.61-0.67; P <.001) and the average vehicle speed (R2: 0.42; 95% CI, 0.40-0.44; P = .004). CONCLUSION: The estimated number of people in the affected area and vehicle's average speed are the most significant variables associated with the number of casualties in MV-IMCIs, helping to enable a timely estimation of the casualties.

The effect of having a physician in the triage area on the rate of patients leaving without being seen: A quality improvement initiative at King Fahad Specialist hospital.

OBJECTIVES: To evaluate the effect of the presence of a physician in the triage area on the number of patients who leave without being seen (LWBS) and some of the factors affecting emergency department (ED) crowding. METHODS: This was a pre-post study carried out at King Fahad Specialist Hospital, Dammam, Saudi Arabia. The 3-month study, consisting of 7826 patients, was split into pre-physician and post-physician periods. Variables compared across these periods were the number of LWBS patients, length of hospital stay, time to physician, and time to disposition decision. Statistical analysis was carried out using R version 4.3.0. RESULTS: Our results showed that the presence of a triage physician significantly decreased the number of LWBS patients (p<0.001) and the time taken to encounter an ED physician (p<0.001). However, it did not have any significant impact on the length of hospital stay (p=0.5) or time to disposition decision (p=0.9). CONCLUSION: The appointment of a triage physician has streamlined patient flow and decreased LWBS rates in the ED, demonstrating the need for more thorough research in this area.