Search Results (109)

Background: Influenza A viruses (IAV) cause seasonal flu and occasional pandemics. In addition, the potential for the emergence of new strains presents unknown challenges for public health. Face masks and other personal protective equipment (PPE) can act as barriers that prevent the spread of these viruses. Metal ions embedded into PPE have been demonstrated to inactivate respiratory viruses, but the underlying mechanism of inactivation and potential for resistance is presently not well understood. Methods: In this study, we used hemagglutination assays to quantify the effect of zinc ions on IAV sialic acid receptor binding. We varied the zinc concentration, incubation time, incubation temperature, and passaged IAV in the presence of zinc ions to investigate if resistance to zinc ions could evolve. Results: We found that zinc ions impact the ability of IAV particles to hemagglutinate and observed inhibition within 1 min of exposure. Maximum inhibition was achieved within 1 h and sustained for at least 24 h in a concentration-dependent manner. Inhibition was also temperature-dependent, and optimal above room temperature. Serial passaging of IAV in the presence of zinc ions did not result in resistance. Conclusions: e conclude that zinc ions prevent IAV hemagglutination in a concentration and temperature-dependent manner for at least 24 h. Overall, these findings are in line with previous observations indicating that zinc-embedded materials can inactivate the IAV hemagglutinin and SARS-CoV-2 spike proteins, and they support work toward developing robust, passive, self-cleaning antiviral barriers in PPE. Full article

Fire events can impact physical and mental health through smoke exposure, evacuation, property loss, and/or other environmental stressors. In this study, we developed community-driven, cross-sectional online surveys to assess public attitudes, health impacts, and protective actions of residents affected by the Tustin hangar fire that burned for 24 days in southern California. Results showed the most frequently reported fire-related exposure concerns (93%) to be asbestos and general air pollution and the most commonly reported mental health impacts to be anxiety (41%), physical fatigue (37%), headaches (33%), and stress (26%). Nose/sinus irritation was the most commonly reported (26.0%) respiratory symptom, while skin- and eye-related conditions were reported by 63.0% and 72.2% of the survey population, respectively. The most commonly reported health-protective actions taken by residents included staying indoors and/or closing doors and windows (67%), followed by wearing face masks (37%) and the indoor use of air purifiers (35%). A higher proportion of low-income residents had to spend money on remediation or other health-protective actions compared to high-income residents. Participants overwhelmingly reported disapproval of their city’s and/or government’s response to the fire disaster. Findings from this study underscore the potential impacts of major pollution events on neighboring communities and offer critical insights to better position government agencies to respond during future disasters while effectively communicating with the public and addressing community needs. Full article

Air pollution is an escalating global concern with significant implications for human health and athletic performance. This narrative review synthesizes and critically compares the current literature on the impact of air pollution on health and football performance, elucidates the physiological mechanisms involved, and evaluates available mitigation strategies. Comparative studies consistently demonstrate that football players—who frequently engage in high-intensity outdoor exercise—are particularly susceptible to the harmful effects of airborne pollutants such as particulate matter (PM), volatile organic compounds (VOCs), nitrogen dioxide (NO₂), ozone (O₃), and carbon monoxide (CO). These pollutants bypass natural respiratory defenses due to increased pulmonary ventilation during exercise, reaching deeper lung regions and triggering oxidative stress, inflammation, and impaired lung function. Evidence across studies indicates that poor air quality is associated with decreased football performance, including reduced distance covered, fewer high-intensity efforts, elevated physiological strain, and diminished training adaptation. Long-term exposure exacerbates respiratory conditions, suppresses immune function, and heightens the risk of illness and injury. Furthermore, comparative genetic research highlights inter-individual variability in pollution sensitivity, with specific gene variants conferring either increased vulnerability or resilience to adverse effects. This review also explores practical and emerging mitigation strategies—such as timing training to avoid peak pollution, utilizing air quality monitoring and antioxidant-rich diets, and promoting sustainable infrastructure—to safeguard athlete health and optimize performance. Novel approaches including respiratory training, anti-smog masks, indoor sessions, and personalized recovery protocols offer additional protection and recovery support. Full article

Background: Respirators are essential for protecting healthcare personnel (HCPs) from airborne infections, and were particularly valuable during the COVID-19 pandemic. However, knowledge gaps, attitudes, and perceived usability issues may hinder their proper use, especially in settings lacking formal respiratory protection programs. Objective: The aim of this study was to assess the knowledge, attitudes, practices (KAP), and perceived usability of respirators among Thai healthcare personnel at a university hospital in Northern Thailand and identify differences across job roles. Methods: A cross-sectional survey was conducted among HCPs at a university hospital in Northern Thailand. Participants completed a validated questionnaire covering demographic data, KAP, and perceived usability of respirators. Descriptive and inferential statistics were used to analyze group differences. Results: A total of 479 valid responses were analyzed from physicians (31.7%), nurses (37.6%), and other HCPs (30.7%). Only around 12% of all participants correctly identified that surgical masks are not respirators, although over 90% correctly identified the nature of N95/KN95-type filtering facepiece respirators. Nurses demonstrated higher knowledge of respirator standards and proper use. Confidence and willingness to use industrial or reprocessed sterile respirators varied significantly by role (p < 0.05). Only 30.5% had received fit-testing. Perceived usability concerns included discomfort, heat, and breathability, reported across all groups. Conclusions: Knowledge, attitudes, and practices related to respirator use varied by professional role, with notable gaps in fit-testing and perceived usability. Findings highlight the need for targeted training, consistent fit-testing protocols, and improved respirator design for comfort to ensure effective respiratory protection in healthcare settings. Full article

Background. The pathogenic coronaviruses (CoVs) MERS-CoV and SARS-CoV-2, which are responsible for the MERS outbreak and the COVID-19 pandemic, respectively, continue to infect humans, with significant adverse outcomes. There is a continuing need to develop mucosal vaccines against these respiratory viral pathogens to prevent entry and replication at mucosal sites. The receptor-binding domain (RBD) of the CoV spike (S) protein is a critical vaccine target, and glycan masking is a unique approach for designing subunit vaccines with improved neutralizing activity. Methods. We evaluated the efficacy of mucosal immunity, broad neutralizing activity, and cross-protection afforded by a combined glycosylated mucosal subunit vaccine encoding the RBDs of the original SARS-CoV-2 strain (SARS2-WT-RBD), the Omicron-XBB.1.5 variant (SARS2-Omi-RBD), and MERS-CoV (MERS-RBD). Results. Intranasal administration of the three-RBD protein cocktail induced effective, durable IgA and systemic IgG antibodies specific for the S protein of these CoVs, thereby neutralizing infection by pseudotyped SARS-CoV-2-WT, Omicron-XBB.1.5, and MERS-CoV. The mucosal vaccine cocktail protected immunized mice from challenge with SARS-CoV-2 Omicron-XBB.1.5 and MERS-CoV, leading to a significant reduction in the viral titers in the lungs. By contrast, the individual glycosylated RBD proteins only induced such immune responses and neutralizing antibodies against either SARS-CoV-2 or MERS-CoV, protecting against subsequent challenge with either SARS-CoV-2 or MERS-CoV; they did not provide simultaneous protection against both CoVs. Conclusions. This study describes a unique strategy for designing efficacious mucosal subunit vaccines that induce durable mucosal immunity, cross-neutralizing activity, and cross-protection against SARS-CoV-2 and MERS-CoV, highlighting the potential for the design of mucosal vaccines against other pathogens. Full article

The need for clean and safe air quality is a global priority that extends to diverse environments, including households, industrial spaces, and areas requiring respiratory personal protection. In this study, polycarbonate (PC) nanofiber filters coated with a coating containing a silver salt were prepared by the electrospinning process and a subsequent dipping–extraction method. These nanofiber filters presented the enhancement of air filtration efficiency and reinforcement of antibacterial properties. The research includes diverse PC filter structures, assessing beaded and non-beaded structures and varying areal weights. The study evaluated filtration efficiency across NaCl particle sizes (50–400 nm) and pressure drop outcomes. In addition, the antibacterial activity of the coated filters against E. coli and other coliforms was investigated by the filtration membrane method. Repetitive testing consistently yields high efficiencies, reaching 100% in thicker filters, and minimal air resistance in beaded filters, presenting an advantage over the current systems. Furthermore, the new properties of the filters will enhance environmental safety, and their time of use will be increased since they prevented the growth of bacteria, and no significant colonies were seen. Considering all these factors, these filters presented promising application in environments with harmful microorganisms, for the development of advanced industrial filtering systems or even hygienic masks. Full article

Historically, the use of a face mask has been associated with personal protection during epidemics. However, the type of mask used and the way it is used can affect the level of protection it provides. To analyze the practices of using face masks in the population in the Northeast of Brazil, a cross-sectional study was carried out, from December 2021 to February 2022, through interviews with 308 people at bus stops (simple random sample). Pearson’s Chi-square test was calculated to verify the association between exposure and outcome variables. The prevalence of clinical manifestations of COVID-19 was 21.4%. The most used type of mask was made of one- and two-layer fabric when compared to N-95 and a three-layer surgical mask and its use were associated with people in the age group of 18–39 years, an income less than four minimum wage and education level equivalent to elementary/secondary school. An association was found between the infrequent use of a mask in a public environment, removing or lowering the mask when coughing and not washing hands before removing the mask and the occurrence of clinical manifestations suggestive of COVID-19. This study showed that socioeconomic factors are associated with the type of face mask used by the population and that the hygiene behavior of face-mask users was also associated with the occurrence of clinical manifestations of COVID-19. This highlights the need for guidelines and educational strategies that address these aspects to better protect the population against possible respiratory epidemics, especially in countries with important risk factors related to the use of face masks, and highlights the need for clear and objective guidelines and educational strategies to better protect the population against possible epidemics. Full article

Background/Objectives: The COVID-19 pandemic has emphasized the importance of preparedness in preventing the spread of infectious diseases, especially in Emergency Departments (EDs), where initial patient assessments and triage occur. This study aims to evaluate the current practices and available tools for infection control in Pediatric EDs across Italy, focusing on the differences between various hospital types and regional settings. Methods: A cross-sectional national survey was conducted in February 2022, targeting healthcare workers in Pediatric EDs across Italy. The survey, distributed via the Italian Society for Pediatric Emergency and Urgent Medicine (SIMEUP) mailing list, collected data on infection control measures, including the availability of hand hygiene stations, personal protective equipment, disinfection protocols, and the use of rapid diagnostic tests. Results: A total of 80 questionnaires were completed from 119 (67.2%) different ERs. The majority of respondents were from Northern Italy (47.5%) and worked in hospitals with 24 h pediatric assistance (48.8%). Less than half of non-pediatric hospitals had separate access for children, potentially exposing them to adult pathogens. Across all settings, basic infection control measures, such as providing masks and hand gel, were widely implemented. However, significant differences were observed in the availability of social distancing, informational materials, and dedicated pediatric pathways, with I level assistance hospitals less likely to have these resources. Rapid diagnostic tests were available in most settings, but the focus was predominantly on SARS-CoV-2, despite other respiratory pathogens’ relevance in pediatric care. Conclusions: Strengthening preparations for future pandemics will be crucial in enhancing the resilience of healthcare systems and ensuring the safety of both patients and healthcare workers in the face of emerging infectious threats. Full article

This study focuses on the integration and validation of a filtering face piece 3 (FFP3) facemask module for monitoring breathing activity in industrial environments. The key objective is to ensure accurate, real-time respiratory rate (RR) monitoring while maintaining workers’ comfort. RR monitoring is conducted through temperature variations detected using temperature sensors tested in two configurations: sensor t₁, integrated inside the exhalation valve and necessitating structural mask modifications, and sensor t₂, mounted externally in a 3D-printed structure, thus preserving its certification as a piece of personal protective equipment (PPE). Ten healthy volunteers participated in static and dynamic tests, simulating typical daily life and industrial occupational activities while wearing the breathing activity monitoring module and a chest strap as a reference instrument. These tests were carried out in both indoor and outdoor settings. The results demonstrate comparable mean absolute error (MAE) for t₁ and t₂ in both indoor (i.e., 0.31 bpm and 0.34 bpm) and outdoor conditions (i.e., 0.43 bpm and 0.83 bpm). During simulated working activities, both sensors showed consistency with MAE values in static tests and were not influenced by motion artifacts, with more than 97% of RR estimated errors within ±2 bpm. These findings demonstrate the effectiveness of integrating a smart module into protective masks, enhancing occupational health monitoring by providing continuous and precise RR data without requiring additional wearable devices. Full article

Wildland firefighters are exposed to airborne particulates, polycyclic aromatic hydrocarbons (PAHs), and other hazardous substances. Respiratory protection is indicated, but information is lacking on the tasks and conditions for which mask wearing should be advised. Studies to assess respiratory protection in wildland firefighters were carried out in western Canada in 2021 and 2023. Sampling pumps measured airborne exposures and urinary 1-hydroxypyrene (1-HP) was assayed to indicate PAH absorption. Participants in 2021 reported the time for which they wore the mask during each task. In 2023, the use of masks was reported, and firefighters rated the smoke intensity. In 2021, 72 firefighters were monitored over 164 shifts and, in 2023, 89 firefighters were monitored for 263 shifts. In 2021, mask wearing was highest for those engaged in initial attack and hot spotting. Urinary 1-HP at the end of rotation was highest for those reporting initial attack, working on a prescribed fire and mop-up. In 2023, firefighter ratings of smoke intensity were strongly associated with measured particulate mass and with urinary 1-HP, but masks were not worn more often when there was higher smoke intensity. The data from the literature did not provide a clear indication of high-exposure tasks. Better task/exposure information is needed for firefighters to make informed decisions about mask wearing. Full article

In poor sanitary conditions, people need to wear masks to protect the health of their respiratory system. Meanwhile, it is necessary for patients with respiratory diseases to have real-time measurement on respiratory rate when wearing masks. Thermoelectric generation provides a new approach and method for powering and sensing small low-power devices, and has good application prospects in smart masks. In view of this, a novel sensible smart mask using micro thermal-electric energy conversion elements (TECE) is proposed in this paper, which can detect and display the respiratory rate in real time. First, the temperature conversion characteristic of micro TECE represented by the thermoelectric generator module is analyzed. Second, the respiratory characteristics of the human body are studied, and the respiratory rate sensing effect based on micro TECEs is analyzed and verified. Then, a sensible smart mask, which can show respiratory rate in real time, is developed by integrating MCU and OLED module. Finally, human respiratory rate experiments are conducted, the experimental results verified the effectiveness and accuracy of the proposed sensible smart mask. Full article

Wearing masks is an effective protective measure for residents to prevent respiratory infectious diseases when going out. Due to issues such as a small target size, target occlusion leading to information loss, false positives, and missed detections, the effectiveness of face mask-wearing detection needs improvement. To address these issues, an improved YOLOv7 object detection model is proposed. Firstly, the C2f_SCConv module is introduced in the backbone network to replace some ELAN modules for feature extraction, enhancing the detection performance of small targets. Next, the SPPFCSPCA module is proposed to optimize the spatial pyramid pooling structure, accelerating the model convergence speed and improving detection accuracy. Finally, the HAM_Detect decoupled detection head structure is introduced to mitigate missed and false detections caused by target occlusion, further accelerating model convergence and improving detection performance in complex environments. The experimental results show that improved YOLOv7 achieved an mAP of 90.1% on the test set, a 1.4% improvement over the original YOLOv7 model. The detection accuracy of each category improved, effectively providing technical support for mask-wearing detection in complex environments. Full article

College-student clients using mental health services contend with increased anxiety and depressive symptoms, and their vulnerability to infectious respiratory diseases and severe clinical outcomes rises. To mitigate severe outcomes, health behaviors serve as essential protective tools to reduce the risk of infectious diseases, including COVID-19. Considering the escalating prevalence of anxiety and depression among college-student clients, little is known about how anxiety and depressive symptoms could potentially attenuate the protective effects of COVID-19 health behaviors (i.e., masking, social distancing, and hygiene practice). This study aims to examine the interactive effects of anxiety/depression and health behaviors in predicting COVID-19 infection. Methods: We analyzed data from the 2020–2021 Healthy Mind Study including a random sample of 9884 college-student clients in mental health services across 140 higher education institutions in the United States. We performed multivariable logistic regression to assess whether and to what extent the associations between COVID-19 health behaviors and infection depended on severity of anxiety or depressive symptoms. Results: Anxiety symptom severity negatively moderated the protective effects of social distancing against infection after adjusting for demographic characteristics and pre-existing chronic health conditions. Depressive symptom severity negatively moderated the protective effects of masking, social distancing, or hygiene practices against infection. Conclusion: The associations between certain COVID-19 health behaviors and infection were conditional on anxiety and depressive symptom severity. Findings suggest a potential public health benefit of mental health clinicians’ efforts in assessing and treating clients’ anxiety and depressive symptoms, namely reducing their vulnerability to COVID-19 infection and perhaps other infectious respiratory diseases. Full article

During the COVID-19 pandemic, there was an increased reported use of chemical cleaning, sanitizing, and disinfecting products (CSDPs), which created public concerns about negative health consequences for both children and adults in public schools. A subset of newer teachers shared experiences regarding safety and health (S&H) while working in school-based settings through a series of online surveys. Surveys were provided to teachers who completed work-based learning supervisory trainings provided by the New Jersey Safe Schools Program between October 2021 and June 2023. The participants answered questions focusing on CSDPs purchased for school use, their attitudes towards CSDPs, their use of personal protective equipment, and symptoms employees may have had due to CSDPs. A total of 205 teacher participants successfully completed the surveys. Over 25% of the teachers did not know where their CSDPs originated from, as they were provided by the school. Most participants “sometimes”, “not often”, or “never” read labels for CSDP ingredients or looked them up on healthy product apps. The participants (60%) tended to wear gloves while cleaning/disinfecting but did not wear masks. A third of the participants experienced respiratory health problems after working at school. Overall, the data suggest that more education on S&H regarding CSDPs needs to be provided to New Jersey teachers. Full article

Face mask detection is a technological application that employs computer vision methodologies to ascertain the presence or absence of a face mask on an individual depicted in an image or video. This technology gained significant attention and adoption during the COVID-19 pandemic, as wearing face masks became an important measure to prevent the spread of the virus. Face mask detection helps to enforce mask-wearing guidelines, which can significantly reduce the spread of respiratory illnesses, including COVID-19. Wearing masks in densely populated areas provides individuals with protection and hinders the spread of airborne particles that transmit viruses. The application of deep learning models in object recognition has shown significant progress, leading to promising outcomes in the identification and localization of objects within images. The primary aim of this study is to annotate and classify face mask entities depicted in authentic images. To mitigate the spread of COVID-19 within public settings, individuals can employ the use of face masks created from materials specifically designed for medical purposes. This study utilizes YOLOv8, a state-of-the-art object detection algorithm, to accurately detect and identify face masks. To analyze this study, we conducted an experiment in which we combined the Face Mask Dataset (FMD) and the Medical Mask Dataset (MMD) into a single dataset. The detection performance of an earlier research study using the FMD and MMD was improved by the suggested model to a “Good” level of 99.1%, up from 98.6%. Our study demonstrates that the model scheme we have provided is a reliable method for detecting faces that are obscured by medical masks. Additionally, after the completion of the study, a comparative analysis was conducted to examine the findings in conjunction with those of related research. The proposed detector demonstrated superior performance compared to previous research in terms of both accuracy and precision. Full article