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Introduction: Emergency departments (EDs) are a critical entry gate for infectious agents into hospitals. In this interdisciplinary study, we explore how infection prevention and control (IPC) architectural interventions mitigate the spread of emerging respiratory pathogens using the example of SARS-CoV-2 in a prototypical ED., Methods: Using an agent-based approach, we integrated data on patients' and healthcare workers' (HCWs) routines and the architectural characteristics of key ED areas. We estimated the number of transmissions in the ED by modelling the interactions between and among patients and HCWs. Architectural interventions were guided towards the gradual separation of pathogen carriers, compliance with a minimum interpersonal distance, and deconcentrating airborne pathogens (higher air exchange rates (AERs)). Interventions were epidemiologically evaluated for their mitigation effects on diverse endpoints., Results: Simulation results indicated that higher AERs in the ED (compared with baseline) may provide a moderate level of infection mitigation (incidence rate ratio (IRR) of 0.95 (95% confidence interval (CI) 0.93-0.98)) while the overall burden decreased more when rooms in examination areas were separated (IRR of 0.78 (95% CI 0.76-0.81)) or when the size of the ED base was increased (IRR of 0.79 (95% CI 0.78-0.81)). The reduction in SARS-CoV-2-associated nosocomial transmissions was largest when architectural interventions were combined (IRR of 0.61 (95% CI 0.59-0.63))., Conclusions: These modelling results highlight the importance of IPC architectural interventions; they can be devised independently of profound knowledge of an emerging pathogen, focusing on technical, constructive, and functional components. These results may inform public health decision-makers and hospital architects on how IPC architectural interventions can be optimally used in healthcare premises., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Background: The COVID-19 pandemic has brought significant mental health challenges, particularly for vulnerable populations, including non-binary gender individuals. The COMET international study aimed to investigate specific risk factors for clinical depression or distress during the pandemic, also in these special populations., Methods: Chi-square tests were used for initial screening to select only those variables which would show an initial significance. Risk Ratios (RR) were calculated, and a Multiple Backward Stepwise Linear Regression Analysis (MBSLRA) was followed with those variables given significant results at screening and with the presence of distress or depression or the lack of both of them., Results: The most important risk factors for depression were female (RR = 1.59-5.49) and non-binary gender (RR = 1.56-7.41), unemployment (RR = 1.41-6.57), not working during lockdowns (RR = 1.43-5.79), bad general health (RR = 2.74-9.98), chronic somatic disorder (RR = 1.22-5.57), history of mental disorders (depression RR = 2.31-9.47; suicide attempt RR = 2.33-9.75; psychosis RR = 2.14-10.08; Bipolar disorder RR = 2.75-12.86), smoking status (RR = 1.15-5.31) and substance use (RR = 1.77-8.01). The risk factors for distress or depression that survived MBSLRA were younger age, being widowed, living alone, bad general health, being a carer, chronic somatic disorder, not working during lockdowns, being single, self-reported history of depression, bipolar disorder, self-harm, suicide attempts and of other mental disorders, smoking, alcohol, and substance use., Conclusions: Targeted preventive interventions are crucial to safeguard the mental health of vulnerable groups, emphasizing the importance of diverse samples in future research., Limitations: Online data collection may have resulted in the underrepresentation of certain population groups., Competing Interests: Declaration of competing interest None pertaining to the current paper., (Copyright © 2024. Published by Elsevier B.V.)

Introduction: The current study aimed to investigate the rates of anxiety, clinical depression, and suicidality and their changes in health professionals during the COVID-19 outbreak., Materials and Methods: The data came from the larger COMET-G study. The study sample includes 12,792 health professionals from 40 countries (62.40% women aged 39.76 ± 11.70; 36.81% men aged 35.91 ± 11.00 and 0.78% non-binary gender aged 35.15 ± 13.03). Distress and clinical depression were identified with the use of a previously developed cut-off and algorithm, respectively., Statistical Analysis: Descriptive statistics were calculated. Chi-square tests, multiple forward stepwise linear regression analyses, and Factorial Analysis of Variance (ANOVA) tested relations among variables., Results: Clinical depression was detected in 13.16% with male doctors and 'non-binary genders' having the lowest rates (7.89 and 5.88% respectively) and 'non-binary gender' nurses and administrative staff had the highest (37.50%); distress was present in 15.19%. A significant percentage reported a deterioration in mental state, family dynamics, and everyday lifestyle. Persons with a history of mental disorders had higher rates of current depression (24.64% vs. 9.62%; p < 0.0001). Suicidal tendencies were at least doubled in terms of RASS scores. Approximately one-third of participants were accepting (at least to a moderate degree) a non-bizarre conspiracy. The highest Relative Risk (RR) to develop clinical depression was associated with a history of Bipolar disorder (RR = 4.23)., Conclusions: The current study reported findings in health care professionals similar in magnitude and quality to those reported earlier in the general population although rates of clinical depression, suicidal tendencies, and adherence to conspiracy theories were much lower. However, the general model of factors interplay seems to be the same and this could be of practical utility since many of these factors are modifiable., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.)

This study examines the prevalence and severity of stress, anxiety, depression, and substance use among college students during the COVID-19 pandemic at a Hispanic-serving institution. The aim of the study is to increase knowledge about student mental health during a public health emergency in order to help develop strategies that promote student success. Using the Perceived Stress Scale-4 (PSS-4) and the Patient Health Questionnaire for Depression and Anxiety-4 (PHQ-4), we found high levels of stress, depression, and anxiety in the sample. Based on these findings, we propose a greater investment of time and resources to promote mental health and positive coping strategies among college students through culturally competent mental health and supportive programs.

Introduction: During the COVID-19 pandemic various degrees of lockdown were applied by countries around the world. It is considered that such measures have an adverse effect on mental health but the relationship of measure intensity with the mental health effect has not been thoroughly studied. Here we report data from the larger COMET-G study pertaining to this question., Material and Methods: During the COVID-19 pandemic, data were gathered with an online questionnaire from 55,589 participants from 40 countries (64.85% females aged 35.80 ± 13.61; 34.05% males aged 34.90±13.29 and 1.10% other aged 31.64±13.15). Anxiety was measured with the STAI, depression with the CES-D and suicidality with the RASS. Distress and probable depression were identified with the use of a previously developed cut-off and algorithm respectively., Statistical Analysis: It included the calculation of Relative Risk (RR), Factorial ANOVA and Multiple backwards stepwise linear regression analysis RESULTS: Approximately two-thirds were currently living under significant restrictions due to lockdown. For both males and females the risk to develop clinical depression correlated significantly with each and every level of increasing lockdown degree (RR 1.72 and 1.90 respectively). The combined lockdown and psychiatric history increased RR to 6.88 The overall relationship of lockdown with severity of depression, though significant was small., Conclusions: The current study is the first which reports an almost linear relationship between lockdown degree and effect in mental health. Our findings, support previous suggestions concerning the need for a proactive targeted intervention to protect mental health more specifically in vulnerable groups., (Copyright © 2022. Published by Elsevier B.V.)

Introduction: There are few published empirical data on the effects of COVID-19 on mental health, and until now, there is no large international study., Material and Methods: During the COVID-19 pandemic, an online questionnaire gathered data from 55,589 participants from 40 countries (64.85% females aged 35.80 ± 13.61; 34.05% males aged 34.90±13.29 and 1.10% other aged 31.64±13.15). Distress and probable depression were identified with the use of a previously developed cut-off and algorithm respectively., Statistical Analysis: Descriptive statistics were calculated. Chi-square tests, multiple forward stepwise linear regression analyses and Factorial Analysis of Variance (ANOVA) tested relations among variables., Results: Probable depression was detected in 17.80% and distress in 16.71%. A significant percentage reported a deterioration in mental state, family dynamics and everyday lifestyle. Persons with a history of mental disorders had higher rates of current depression (31.82% vs. 13.07%). At least half of participants were accepting (at least to a moderate degree) a non-bizarre conspiracy. The highest Relative Risk (RR) to develop depression was associated with history of Bipolar disorder and self-harm/attempts (RR = 5.88). Suicidality was not increased in persons without a history of any mental disorder. Based on these results a model was developed., Conclusions: The final model revealed multiple vulnerabilities and an interplay leading from simple anxiety to probable depression and suicidality through distress. This could be of practical utility since many of these factors are modifiable. Future research and interventions should specifically focus on them., Competing Interests: Conflict of Interest None pertaining to the current paper., (Copyright © 2021 Elsevier B.V. and ECNP. All rights reserved.)

David Calderon Guzman,1 Norma Osnaya Brizuela,1 Armando Valenzuela Peraza,1 Maribel Ortiz Herrera,2 Gerardo Barragan Mejia,2 Hugo Juarez Olguin3 1Laboratory of Neurosciences. Instituto Nacional de Pediatria (INP), Mexico City, Mexico; 2Laboratory of Experimental Bacteriology. INP, Mexico City, Mexico; 3Laboratory of Pharmacology. INP, Mexico City, MexicoCorrespondence: Hugo Juarez Olguin, Laboratorio de Farmacología, Instituto Nacional de Pediatría. Avenida Imán, N 1, 3rd piso Colonia Cuicuilco CP 04530, Mexico City, Mexico, Tel/Fax +5255 10840900, Email juarezol@yahoo.comCase Summary: Female nurse, 44-years-old with a weight of 127 pounds. She attended our emergency clinic for an urgent care due to post COVID-19 vertigo and anxiety. Her problem began with severe, short-lived attacks of objective-circular type vertigo, accompanied by nausea and vomiting. The symptoms occurred when she assumed a lying position, turn right and sat or stood upright.Interventions: The patient received medical prescription for hypothyroidism, vertigo and anxiety symptoms. Oral route feeding was started and was well tolerated.Outcomes: The patient showed good evolution with the treatment. Currently, she is at home with daily intake of levothyroxine and losartan without complications.Conclusion: The clinical case suggests that in patients with hypothyroidism, COVID-19 infection may trigger and exacerbate vertigo and anxiety.Keywords: hypothyroidism, COVID-19, vertigo, thyroid