Search Results (5,787)

A key requirement in containing contagious diseases, like the COVID-19 pandemic, is the ability to efficiently carry out mass diagnosis over large populations, especially when testing resources are limited and rapid identification is essential for outbreak control. Some of the leading testing procedures, such as those utilizing qualitative polymerase chain reaction, involve using dedicated machinery which can simultaneously process a limited amount of samples. A candidate method to increase the test throughput is to examine pooled samples comprised of a mixture of samples from different patients. In this work, we study pooling-based tests which operate in a one-shot fashion, while providing an indication not solely on the presence of infection, but also on its level, without additional pool-tests, as often required in COVID-19 testing. As these requirements limit the application of traditional group-testing (GT) methods, we propose a multi-level GT scheme, which builds upon GT principles to enable accurate recovery using much fewer tests than patients, while operating in a one-shot manner and providing multi-level indications. We provide a theoretical analysis of the proposed scheme and characterize conditions under which the algorithm operates reliably and at affordable computational complexity. Our numerical results demonstrate that multi-level GT accurately and efficiently detects infection levels, while achieving improved performance and less pooled tests over previously proposed oneshot COVID-19 pooled-testing methods. Our simulations show that the efficient method proposed in this work can correctly identify the infected items and their infection levels with high probability at the known upper bound (for a maximum likelihood decoder in GT) on the number of tests. We also show that the method works well in practice when the number of infected items is not assumed to be known in advance. Full article

Cities play a vital role in creating wealth and ensuring the well-being of all their inhabitants. However, major international efforts aimed at fostering fairer, healthier, and a more sustainable world have been compromised by the widespread effects of the COVID-19 pandemic. The objective of this research is to determine key priorities for addressing the pandemic’s impact in both the present and in a future urban context. Therefore, this study applies the Delphi method to a panel of 24 experts in order to identify the most and least important targets from Sustainable Development Goal 11 for post-COVID-19 sustainable urban planning in Cuenca, Ecuador. Out of the twelve targets, only five were prioritized, including “Target 11.1 Affordable housing”, Target 11.3 Sustainable Urbanization”, “Target 11.9 Implement policies for inclusion and property rights”, and “Target 6.3 Improve water quality”. These findings can serve as a foundation for future public policies and strategies for sustainable urban planning of the city. Full article

This review examines the clinical data and basic science research to evaluate the potential of the Selective Cytopheretic Device (SCD) in mitigating Extracorporeal Membrane Oxygenation (ECMO)-associated inflammation. In brief, SCD is an immunomodulatory device used within extracorporeal blood circuits along with the use of citrate anticoagulation. SCD has been shown to be a novel, first-in-its-class device (being marketed as QUELimmune by SeaStar Medical), which is capable of the autologous processing of hyper-inflamed leukocytes to reduce systemic inflammation. Strong preclinical data gathered for SCD in the context of both Cardio-Pulmonary Bypass (CPB) as well as ECMO set the stage for SCD to be used in these life support circuits. ECMO played a crucial role during the COVID-19 pandemic, during a time period when SCD therapy was being evaluated in clinical trials, generating initial clinical data in this setting. SCD has also been utilized in the setting of pediatric acute kidney injury (AKI) and multiorgan dysfunction (MOD), where ECMO can be common. Full article

The US has undertaken both unconventional and conventional monetary policy stances in response to the COVID-19 pandemic and the Ukraine–Russia conflict, and there has been much debate on the effects of these various monetary policies on global financial markets. Our study considers the debate in the context of South Africa and uses the quantile–frequency connectedness approach to examine static and dynamic systemic spillover between the US shadow short rate (SSR) and South African equity, bond and currency markets between 1 December 2019 and 2 March 2023. The findings from the static analysis reveal that systemic connectedness is concentrated at their tail-end quantile distributions and US monetary policy plays a dominant role in transmitting these systemic shocks, albeit these shocks are mainly high frequency with very short cycles. However, the dynamic estimates further reveal that US monetary policy exerts longer-lasting spillover shocks to South African financial markets during periods corresponding to FOMC announcements of quantitative ‘easing’ or ‘tapering’ policies. Overall, these findings are useful for evaluating the effectiveness of the Reserve Bank’s macroprudential policies in ensuring market efficiency, as well as for enhancing investor decisions, portfolio allocation and risk management. Full article

Influenza is a serious and global health issue, and it is a major cause of morbidity, fatality, and economic loss every year. Seasonal vaccines exist but are not very effective due to strain mismatches, delays in production, and antigenic drift. This comprehensive overview discusses the current situation of influenza vaccination, including the numerous types of vaccines—inactivated, live attenuated, and recombinant vaccines—and their effectiveness, efficacy, and associated challenges. It highlights the effects of the COVID-19 pandemic on the trends of influenza vaccination and the level to which innovation should be practiced. In the future universal influenza vaccines will be developed that target conserved viral antigens to provide long-term protection to people. In the meantime, novel vaccine delivery platforms, such as mRNA technology, virus-like particle (VLP), and nanoparticle-based systems, and less cumbersome and invasive administration routes, as well as immune responses are also under development to increase access and production capacity. Collectively, these innovations have the potential to not only reduce the global influenza epidemic but also to change the way influenza is prevented and prepare the world for a pandemic. Full article

Research on the complex dimensions of engagement in large, lecture-based courses remains scarce. Lecture-based courses are often characterized by passive learning environments, raising concerns about their capacity to foster motivation. This study investigates how motivational factors shape multiple dimensions of engagement—cognitive, behavioral, emotional, and agentic—in introductory sociology courses. A quantitative, cross-sectional survey was conducted with 434 first-year students enrolled at seven public universities in North Rhine–Westphalia, Germany. All participants had completed the Abitur at the Gymnasium and experienced hybrid learning during their final years of secondary education due to the COVID-19 pandemic. The study formulated three hypotheses: (1) mastery (self-improvement) goals positively predict emotional, behavioral, and cognitive engagement (validated); (2) perceived autonomy support increases emotional engagement (validated); and (3) performance goals (motivation to outperform peers) have a stronger effect on emotional than cognitive engagement (rejected). Results indicate that performance goals neither enhance emotional engagement nor exert a stronger influence on emotional than on cognitive engagement, challenging common assumptions about the role of competitive motivation in large lecture settings. Additionally, despite low levels of agentic engagement—attributed to the structural constraints of large lecture-based learning environments—students’ internal engagement was in line with other studies. These findings highlight the critical role of educational culture, particularly the emphasis on autonomy within the German school system, and the influence of learning spaces in shaping student engagement. We suggest that engagement is shaped by familiarity with hybrid formats that support autonomy, as well as by an academic culture in which active silent engagement is often the norm. In such contexts, mastery goals and autonomy-supportive backgrounds help foster more reactive dimensions of student engagement. Full article

Burnout, characterized by emotional exhaustion and depersonalization, is increasingly recognized as a significant mental health concern with psychiatric implications. This cross-sectional study explored variables associated with current burnout levels among 2004 teachers in 19 Latin American countries and Spain, drawing on retrospective perceptions of COVID-19 pandemic-related changes in work conditions and student behavior. Using a comprehensive survey, researchers gathered demographic information, work-related characteristics, and burnout levels measured by the Maslach Burnout Inventory. Participants were recruited through social media platforms and teacher groups. Participants reported high emotional exhaustion, with 45.9% exceeding the clinical threshold. Moderate depersonalization levels were observed, with 30.2% scoring above the clinical cutoff. Hierarchical regressions indicated that emotional exhaustion was significantly predicted by individual (e.g., gender, age, socioeconomic status, pre-existing mental and chronic illnesses), school (e.g., school level, sector, and workload), and student factors (e.g., behavior and social adjustment problems), accounting for 17.4% of the variance. Depersonalization was similarly associated with individual (e.g., gender, age, education, and pre-existing mental illness), school (e.g., workload and school level), and student characteristics (e.g., educational, behavioral, and family adjustment problems), explaining 6.5% of the variance. These findings contribute to psychiatric and psychological research by identifying specific risk profiles for chronic stress syndromes in educators—an occupational group facing long-term psychological impacts from the COVID-19 crisis. This study underscores the need for interdisciplinary psychiatric approaches to diagnose and prevent burnout and promote teacher well-being through clinical and policy-level interventions. Full article

The COVID-19 pandemic and related public health and hospital restrictions directly influenced Canadian perinatal healthcare. This study aimed to evaluate predictors of pandemic-related pregnancy and postpartum stress in Canada. A sample of 398 women with Canadian pandemic pregnancy experiences completed an online cross-sectional survey between September 2021 and February 2022. Demographic factors, perinatal healthcare characteristics, and psychometric measures including Oslo Social Support Scale (OSSS-3) and Brief COPE were analyzed by independent hierarchical generalized linear models (GLM) to identify predictive variables associated with prenatal and postpartum pandemic-related pregnancy stress scales (PREPS). Respondents reported low social support, low–moderate Problem-Focused and Emotion-Focused Coping scores, with low Avoidant Coping. Middle income and canceled prenatal care appointments were associated with prenatal PREPS-Preparedness Stress, with provider satisfaction negatively associated. Avoidant Coping was positively associated with both prenatal and postpartum Preparedness Stress and Infection Stress scores, whereas Problem-Focused Coping was associated with both prenatal and postpartum Positive Appraisal. High COVID-19 rates and region of healthcare were associated with prenatal and postpartum Infection Stress. Our findings that perinatal healthcare characteristics and psychometric measures, rather than demographic characteristics, were greater predictors of pandemic-related stress reflect the broad societal disruptions that shaped Canadian pregnancy experiences in our sample of mostly high income, well-educated, non-racialized women. Full article

The COVID-19 pandemic highlighted the need for a scientific framework that enables quantitative assessment and control of airborne infection risks in indoor environments. This study identifies limitations in the traditional Wells–Riley model—specifically its assumptions of perfect mixing and steady-state conditions—and addresses these shortcomings by adopting the REHVA (Federation of European Heating, Ventilation and Air Conditioning Associations) infection risk assessment model. We propose a five-tier risk classification system (Monitor, Caution, Alert, High Risk, Critical) based on two key metrics: the probability of infection (Pₙ) and the event reproduction number (R_event). Unlike the classical model, our approach integrates airborne virus removal mechanisms—such as natural decay, gravitational settling, and filtration—with occupant dynamics to reflect realistic contagion scenarios. Simulations were conducted across 10 representative indoor settings—such as classrooms, hospital waiting rooms, public transit, and restaurants—considering ventilation rates and activity-specific viral emission patterns. The results quantify how environmental variables (ventilation, occupancy, time) impact each setting’s infection risk level. Our findings indicate that static mitigation measures such as mask-wearing or physical distancing are insufficient without dynamic, model-based risk evaluation. We emphasize the importance of incorporating real-time crowd density, occupancy duration, and movement trajectories into risk scoring. To support this, we propose integrating computer vision (CCTV-based crowd detection) and entry/exit counting sensors within a live airborne risk assessment framework. This integrated system would enable proactive, science-driven epidemic control strategies, supporting real-time adaptive interventions in indoor spaces. The proposed platform could serve as a practical tool for early warning and management during future airborne disease outbreaks. Full article

This study examines the impact of aircraft noise on annoyance and sleep disturbances among residents near Tan Son Nhat Airport in Ho Chi Minh City, Vietnam, from 2019 to 2023. It aims to assess the specific effects of aircraft noise exposure on sleep quality, as well as changes in exposure due to reduced air traffic during the COVID-19 pandemic. Surveys conducted before and during the pandemic revealed that, despite lower noise levels, residents continued to report high levels of annoyance, indicating a complex exposure-response relationship. This study evaluates both the impact of aircraft noise levels and the role of non-acoustic factors in mitigating sleep disturbances and shaping residents’ responses over time. The study’s findings support the applicability of WHO guidelines in this context and emphasize the importance of considering both noise reduction and community engagement in noise management strategies. Full article

The COVID-19 pandemic has prompted the scientific community to develop new weapons against the SARS-CoV-2 spike protein. The study of its mutations is important to understand how it interacts with human receptors and how to prevent a future pandemic. In this study, four mutations of the Omega variant, along with those from the SARS-CoV-1 and MERS variants, were analyzed in complex with the angiotensin-converting enzyme 2 (ACE2) receptor. In silico studies were carried out to demonstrate that these mutations affect the interaction with the compounds under investigation. The ligands studied are heterocyclic compounds previously considered as potential inhibitors. Our results show that these compounds interact well with the spike protein and provide insights into how mutations, especially in the RBD region, can lead to perturbations in ligand–protein interactions. Full article

Background: Since the COVID-19 pandemic, hybrid work models are on the rise in public administration in Germany. Hybrid work poses new challenges for employees. Face-to-face contact with colleagues at the office may be limited, potentially affecting social relationships at work. This study aimed to examine job demands and resources pertaining to social relationships between employees in public administration with low and high face-to-face contact with colleagues. Furthermore, associations between social and personal resources with work engagement and the moderating role of face-to-face contact were explored. Methods: A cross-sectional online survey was carried out in a German public administration. Validated instruments were used to measure job demands and resources regarding social relationships, occupational health literacy, work design competencies, and work engagement. Differences between employees with low and high face-to-face contact with colleagues were examined using Pearson’s chi-square test and Welch’s t-test. Multiple linear regression was used to analyze associations between social and personal resources and work engagement. Simple moderation analyses were carried out to explore the role of face-to-face contact. Results: Overall, 127 employees in public administration completed the questionnaire. Employees with low face-to-face contact with colleagues at the office reported significantly higher fear of missing out at work and lower team cohesion and empowering leadership. Team cohesion as well as work design competencies and occupational health literacy (subscale willingness/responsibility) were significantly positively associated with work engagement, but no moderation effect of face-to-face contact could be observed. Conclusion: To reduce job demands regarding social relationships and strengthen social resources of hybrid workers, organizational measures could be taken to foster regular face-to-face contact with colleagues (e.g., overlapping attendance days). Additionally, training programs on work design competencies and occupational health literacy could positively impact employees’ work engagement. Full article

Background/Objectives: The COVID-19 pandemic has impacted cancer diagnosis and treatment. This study assessed the effects of the pandemic on the stage and delays between diagnosis and treatment in endometrial cancer. Methods: The study included 543 cases diagnosed between 2017 and 2023 in a population-based cancer registry. Data on stage, diagnostic procedures, treatments, and time to surgery (TTS) were compared across the pre-COVID (2017—2019), COVID (2020—2022), and post-COVID (2023) periods. Multiple regression analysis was used to identify factors influencing TTS. Results: During the three periods, stages I and II showed no variation, whereas a significant increase was recorded in stage III (7.5%, 9.5%, and 17.8%, respectively; p < 0.05), as well as a slight increase in grade 3 (15.4%, 13.6%, and 19.2%, respectively). A significant decrease in laparotomies (30.3%, 11.6%, and 11.0%, respectively; p < 0.01) and an increase in laparoscopies (60.1%, 78.1%, and 80.8%, respectively; p < 0.05) were observed. TTS decreased for interventions performed within 30 days (10.1%, 3.7%, and 1.4%, respectively; p < 0.01) and within 60 days (38.6%, 19.4%, and 6.9%, respectively; p < 0.01), while a significant increase was observed for >60 days (22.8%, 29.8%, and 37.0%, respectively; p < 0.05) and >90 days (7.5%, 23.1%, and 20.5%, respectively; p < 0.01). Multivariable analysis confirmed a reduction in TTS in the pre-COVID period (β −19.63; CI 95% −31.31; −7.95) and an increase in the post-COVID period (β 31.60; CI 95% 13.68; 49.53); while an increase was confirmed only for stage IV (β 48.80; CI 95% 23.15; 74.45). Conclusions: The COVID-19 pandemic has led to an increase in more advanced cancers and delays in surgery. Full article

Background/Objectives: Coronavirus disease 2019 (COVID-19) has been a global pandemic since 2019, but effective therapeutic treatments for it remain limited. Shuqing Granule (SG) is a traditional Chinese medicine containing ingredients such as indirubin, shinpterocarpin, naringenin, and quercetin. It exhibits anti-inflammatory and antiviral activities as well as broad-spectrum antiviral effects, yet its potential role in the treatment of COVID-19 remains unclear. This study thus aimed to explore the therapeutic effects of SG on COVID-19, with a focus on its potential anti-SARS-CoV-2 activity linked to these bioactive ingredients. Methods: The potential therapeutic ability of SG was investigated by combining network pharmacology, molecular docking, and experimental verification. First, key ingredients in SG and their corresponding targets, as well as COVID-19-related targets, were identified. Then, enrichment analyses were performed to highlight potential key pathways. Additionally, molecular docking was conducted to assess the binding capacity of the key ingredients to ACE2. Finally, experiments such as Western blot and ELISA were conducted to verify the effect of SG. Results: The results showed that 15 key ingredients such as quercetin in SG could affect overlapping targets such as RELA. Molecular docking results showed that key ingredients in SG, such as isoliquiritigenin, formononetin, shinpterocarpin, indirubin, naringenin, kaempferol, and 7-Methoxy-2-methylisoflavone, might bind to angiotensin-converting enzyme II (ACE2)—a critical receptor in the process of COVID-19 infection—thereby exerting antiviral effects. Experiments such as Western blot and ELISA further demonstrated that SG could reduce inflammation induced by the SARS-CoV-2 S1 protein by 50%. This effect might be achieved by downregulating ACE2 expression by 1.5 times and inhibiting the NF-κB signaling pathway. Conclusions: This study confirmed that SG has potential as a candidate for COVID-19 treatment. It also provided a new approach for the application of traditional Chinese medicine in combating the virus. Full article

(1) Background: Psychological distress causes increased smoking frequency. Thus, financial distress (FD), a type of psychological distress, during the COVID-19 pandemic recession is possibly associated with increased smoking frequency. We studied the association between disrupted employment or earnings-associated FD and the number of cigarettes smoked daily, as well as the effects of pre-pandemic regular monthly incomes on the association. (2) Methods: We retrieved the collected data from a former nationwide and community-based study regarding the psycho-socio-economic characteristics of Thai people during the third wave of the COVID-19 pandemic in Thailand in 2021. The participants for this study were current smokers aged ≥ 18 years. General demographics, perceived FD, and pre-pandemic regular monthly incomes were analyzed. Descriptive statistics and multivariate logistic regression with sampling weight adjustments were the analyses used (p < 0.05). (3) Results: 849 current smokers were suitable for statistical analyses. We found that 664 (12.9%) of participants experienced FD, but it did not significantly affect smoking frequency. However, those who had FD and regularly earning ≥ THB 10,000 ($271.11 US) per month was significantly associated with increased daily cigarette use, after adjusting for age and sex (adjusted OR = 2.74; 95% CI = 1.18, 6.37, p = 0.020). (4) Conclusion: FD alone did not affect daily smoking frequency. Understanding the psycho-socio-economic factors is necessary for smoking control during the COVID-19 economic recession. Full article