Search Results (1,030)

The growing scale and duration of global displacement driven by complex humanitarian crises pose significant challenges for humanitarian shelter and settlement planning. Refugees and displaced persons often live long-term in settlements and collective accommodation initially intended as temporary, which are frequently characterised by overcrowding, limited privacy, inadequate infrastructure, and uncertain living conditions, heightening psychological distress. Despite the recognition of mental health and psychosocial support (MHPSS) in humanitarian response, the role of the built environment and its impact on MHPSS remains underexplored. This study utilises a systematic-informed review of academic and grey literature to examine how healing architecture can support humanitarian settlement planning, with a focus on the wellbeing of displaced communities. Literature was identified through searches in Web of Science and Google Scholar, alongside selected publications from United Nations agencies and non-governmental organisations, resulting in a total of 34 documents included in the analysis. The paper addresses three research questions: What mental health challenges are most common among displaced populations? What healing architecture strategies are most relevant, and how do they influence mental health? How and under what conditions can healing architecture strategies contribute to humanitarian settlement planning to support wellbeing? Studies were identified through database and repository searches, appraised for quality, and synthesised using thematic analysis. Findings highlight key design strategies, including access to private and communal spaces, connection to nature, and culturally responsive layouts. Although the analysis identified contextual and methodological limitations in humanitarian settlement planning, integrating healing architecture offers practical pathways to enhance wellbeing through participatory and inclusive design. Full article

Background/Objectives: During the first COVID-19 lockdown, the sudden disruption of formal care services substantially increased reliance on informal caregiving. Emerging evidence suggests that increased caregiving demands may have contributed to a higher burden of mental-health-related temporary work disability; however, population-based data from occupational health systems remain limited. This study aimed to quantify and characterise, descriptively, the sociodemographic, clinical, and territorial characteristics of mental-health-related temporary work disability among workers with informal caregiving responsibilities in Spain during the first COVID-19 lockdown, and to descriptively examine differences between episodes occurring among workers with and without caregiving responsibilities. Methods: A retrospective descriptive study was conducted using anonymised nationwide occupational health records from Mutua Asepeyo. All episodes of temporary work disability certified for mental and behavioural disorders (ICD-10 F00–F99) between 14 March and 21 June 2020 were analysed. Caregiver status was determined based on documented informal caregiving responsibilities recorded within the occupational disability records. Sociodemographic, occupational, clinical, and territorial variables were examined using descriptive statistics and non-parametric tests. Results: A total of 2857 caregiver-associated episodes were identified, representing 55.6% (95% CI: 54.2–57.0) of all mental-health-related temporary work disability episodes during the study period. The majority involved women (68.1%) and caregivers of older dependent adults (59.3%). Generalised anxiety disorder was the most frequent diagnosis, followed by adjustment disorders and acute stress reactions, with significant differences by sex and employment regime. Marked territorial variability was observed, as well as longer durations of temporary work disability in specific regions and among women. Conclusions: A substantial proportion of mental-health-related temporary work disability episodes during the lockdown occurred among workers with informal caregiving responsibilities, particularly women and those caring for older dependents. These findings suggest that informal caregiving may be a determinant of occupational mental health during crises. However, given the descriptive and unadjusted nature of the study, no causal inferences can be drawn. Further research is needed to understand these associations better and inform future occupational health strategies. Full article

The COVID-19 pandemic accelerated the global shift to e-learning, raising concerns about its sustainability, student well-being, and educational inequality. This study evaluates e-learning in higher education during crises by examining its psychological, behavioral, social, and academic impacts on university students in the United Arab Emirates over two academic years of remote learning. Using a mixed-methods approach, data were collected from two cohorts (n = 228): Group 1 (G1, n = 76; 2020–2021) and Group 2 (G2, n = 152; 2021–2022). Analysis included descriptive statistics, independent sample t-tests, and thematic analysis. The results revealed significant differences between groups across most domains (p < 0.001). G2 reported higher psychological distress, including increased depression, stress, and reduced focus, while G1 demonstrated stronger behavioral and social adaptation, such as better self-care, family communication, and engagement in hobbies and sports. Regression analysis showed a strong linear relationship between online and campus grade distributions (R² = 0.7862), indicating academic consistency across learning modes. However, the findings highlight a sustainability paradox: although e-learning enhances flexibility and access and reduces environmental impact, prolonged reliance is linked to psychological strain, behavioral risks, and widening social inequality. The study underscores the need for a resilient and sustainable education model that supports students academically, psychologically, and socially to ensure the well-being and public health of all. These insights are particularly relevant amid ongoing regional crises and the continued expansion of e-learning and generative AI in education. Aligning with sustainable education goals, such approaches contribute to SDGs 3, 4, and 10, and support broader progress toward the 2030 Agenda. Full article

The planet faces the critical interconnected challenges of climate change and antimicrobial resistance (AMR); these two crises mutually reinforce each other, threatening global health and ecosystem stability. This study conducts a systematic documentary analysis to map the convergence and identify the structural gaps between two key technological domains: artificial intelligence (AI) for climate action and molecular methods for AMR. The methodology was based on a corpus of 179 scientific documents indexed in Scopus (2010–2025), analyzed with data science tools to identify trends, collaborations, and impact. Quantitative results revealed clear leadership by the United States, accounting for 37.4% of publications, followed by China (26.8%); this leadership reflects the concentration of high-throughput molecular surveillance infrastructure and data science clusters essential for monitoring the environmental resistome. In terms of scientific impact, Spain showed the highest average, with 32.8 citations per article. The most influential work, a review on food security and sustainability, accumulated 275 citations. Network analysis identified authors such as Zhu, Yongguan, with 240 citations in total, as central nodes in international collaborations. Thematically, metagenomics and machine learning emerged as mature and interconnected research cores. This analysis confirms a solid yet still fragmented relationship between the two fields. The analysis reveals that, while metagenomic tools dominate the current literature, a gap persists in correlating genotypic resistance potential with functional phenotypic expression under changing climatic stressors. The results confirm a solid yet still fragmented foundation, highlighting the need for hybrid platforms that transition from descriptive bibliometrics to functional integration for designing systemic solutions. Future work should prioritize the development of hybrid platforms, such as intelligent biosensors, and collaborative governance frameworks that accelerate effective responses to these dual crises. Full article

The public health concern of suicide continues to rise and is increasingly prevalent on social media. The severity of this growing issue highlights the need for improved methods for detecting suicide risk. Many current deep learning approaches do not possess the required level of explainability for application in clinical settings. This study proposes the development of a transformer-based framework called “CrisisFormer,” which was trained on an imbalanced dataset containing 40,000 Reddit posts from the Suicide Watch subreddit and enhanced using DistilBERT. Additionally, the CrisisFormer framework uses three forms of explainable artificial intelligence for interpreting results: SHapley Additive exPlanations (SHAP), Local Interpretable Model-Agnostic Explanations (LIME), and transformer attention visualizations. The CrisisFormer framework achieved superior results for detecting the risk of suicide, with 96.25% accuracy, 96.30% precision, 96.25% recall, 96.25% F1 score, and 0.9944 AUC, compared to traditional models such as CNN, LSTM, and BiLSTM. Furthermore, by including clinically relevant suicide terms in its results, CrisisFormer demonstrates a high potential for incorporation into real-world mental health systems for intervention during ongoing mental health crises. Full article

The COVID-19 pandemic contributed to more severe and frequent intimate partner violence (IPV) among victims, and less availability of services; however, this research has largely been conducted on only female victims. We investigated the COVID-19 pandemic’s contribution to more severe and frequent IPV among male victims, barriers to getting help, and factors contributing to both increased severity/frequency and barriers. Participants included 318 male IPV victims from English-speaking Western countries who reported being the victim of IPV during the pandemic. They completed a Qualtrics questionnaire asking about their IPV experiences, mental health, COVID-19-related experiences in general and IPV experiences in specific. Overall, 47.8% of the participants experienced an increase in frequency and/or severity of IPV victimization, with help-seeking barriers, job loss, being confined to the house with their aggressor, and prior trauma independently predicting increases. Also, 75.5% reported one or more barriers to accessing help; such barriers were independently predicted by increased severity/frequency of IPV, financial strain, relationship length, being married, using marijuana, severe depression, prior trauma, IPV stigma, and coercive control victimization. Results are discussed in terms of their consistency with the literature on female victims, and the need for gender inclusive research, service provisions, and service recommendations in light of crises such as the COVID-19 pandemic. Full article

Organizations ought to demonstrate a responsibility for conditions that reduce moral stress and enhance moral resilience for their employees. No literature to date has explored how Emergency Management Personnel (EMP) experience both moral stress and distress [(di)stress], building up to stigma during health crises, given their role in emergency management operations. This study draws from a primary study of EMP, including frontline and first responders and those in leadership, who reported structural stigma during the COVID-19 pandemic. Our research question was, In what ways did structural stigma shape the moral landscape of emergency management practice during COVID-19? This qualitative study draws on the paradigm of critical realism to conduct thematic analysis. Interviews and focus groups were collected in 2024 from a total of 23 participants in the Greater Toronto Area, Canada. Participants represented EMP across emergency and public service sectors. System-level stressors revealed disruptions or “cracks” from an overwhelmed public services system. In sum, systemic “cracks” gave rise to organizational mechanisms designed to compensate for system failures, inadvertently propagating structural stigma. At times these mechanisms generated moral distress and/or resilience, through simultaneously expanding and limiting EMP’s responsibility and agency. The authors suggest that EMP build their leadership capacity to enhance skills of structural competency. Full article

Background/Objectives: This study aimed to investigate how the disparities in unmet medical needs between immigrants to South Korea and native-born populations evolved during the COVID-19 pandemic. Methods: Using nationally representative cross-sectional data from the 2018 and 2020 Surveys on Immigrants’ Living Conditions and Labor Force in South Korea, we compared unmet medical needs among immigrants at two time points (N = 12,227 in 2018; N = 18,530 in 2020). Standardized prevalence ratios (SPRs) were calculated. Analyses were stratified according to work status, gender, Korean language proficiency, education level, and duration of stay. Results: Working immigrants had lower SPRs for unmet medical needs than Korean nationals (2018: 0.879; 2020: 0.745) but non-workers had consistently higher SPRs (2018: 1.117; 2020: 1.128). The SPRs for male and female non-workers increased and decreased, respectively. The SPRs were persistently higher among individuals with poorer Korean language proficiency, lower education, and shorter duration of stay. Conclusions: Systemic disruptions, such as the COVID-19 pandemic, may exacerbate pre-existing healthcare inequalities among immigrant populations. The persistence and widening of these disparities call for targeted policies that address structural barriers and ensure equitable healthcare access during future public health crises. Full article

(1) Background: The characteristics of rare diseases (RDs) vary considerably—not only between different disease types but also between individual patients with the same condition. In the Roma community, we analyzed the most frequent rare genetic disorders related to the founder effect. (2) Methods: This retrospective study, conducted between January 2019 and January 2025 at the Clinical Genetics and Metabolics Outpatient Clinic in Košice, included 61 patients aged from infancy to 25 years diagnosed with hypomyelinating leukodystrophy 14, pontocerebellar hypoplasia type 1B, neuronal ceroid lipofuscinosis 7, or TMEM70 deficiency. (3) Results: This study includes the largest known cohort of patients with hypomyelinating leukodystrophy 14 caused by the UFM1 c.-273_-271delTCA mutation, predominantly affecting males (n = 17). The disorder is severe, with most patients dying before one year of age, and is characterized by inspiratory stridor, axial hypotonia, spastic quadriparesis, pseudobulbar signs, and microcephaly. In a separate group with pontocerebellar hypoplasia type 1B, six Roma patients (three males, three females) shared the same EXOSC3 mutation. Diagnosis occurred at an average age of 8.8 months, and most children did not survive beyond three years. Common features included microcephaly, severe hypotonia, and spastic quadriplegia. Thirteen children from eight families were diagnosed with neuronal ceroid lipofuscinosis 7, all carrying the same MFSD8 mutation. Symptoms typically began with psychomotor regression between ages 3 and 4, along with intellectual disability and seizures, which were more frequent in males. The mean age at diagnosis was 4.5 years, and eight children died before age nine. Finally, 25 patients with TMEM70 deficiency associated with Roma ancestry were identified, predominantly females, with a mean age of 9.95 years and the oldest patient aged 25. Four children died due to severe metabolic crises. Common findings included intellectual disability, global hypotonia, hypertrophic cardiomyopathy, epilepsy, and failure to thrive. (4) Conclusions: Most rare diseases are genetic and carry high morbidity and mortality, with no targeted therapies currently available. Their increased prevalence in the Roma population reflects founder effects and high consanguinity. Prenatal and newborn screening, along with voluntary carrier testing for couples, is essential for proactive health management. Full article

Background: Miami-Dade County ranks first in Florida for HIV cases, yet broad epidemiological data often masks the “on-the-ground” reality of its most vulnerable residents. While standard reports suggest declining domestic violence, these statistics fail to account for community-defined health crises—the “SAVA” syndemic (substance use, violence, and HIV/AIDS)—occurring within localized micro-communities. Methods: Leveraging five years of Community-Based Participatory Research (CBPR) and Grounded Theory, this study engaged 97 community members and leaders to unmask these hidden burdens. We employed a multi-level sequential design and methodological triangulation, incorporating community forums, focus groups, and interviews with farm-workers, inner-city residents, and LGBTQ+ individuals. Results: Findings reveal a disconnect between official data and community reporting, including “Party and Play” methamphetamine/sex-trafficking networks in the LGBTQ+ scene, rampant youth vaping in inner cities, and child sexual abuse and opioids in farm-working communities. Mental health emerged as a pervasive need, masked by substance use and suppressed by cultural stigmas and institutional fears. Conclusions: Findings from this study highlight the value of community-level approaches in generating localized, culturally grounded insights that may not be fully captured in more aggregated geographic analyses (e.g., zip code, county, or state levels). We propose a collaborative, multi-sectoral model to address the systemic factors underlying the SAVA syndemic in these communities. Full article

As modern society grows increasingly complex, access to essential services such as healthcare, legal aid, tailored education, and psychological support remains heavily gated by socio-economic, neurological, and systemic barriers. This paper explores the transformative potential of Large Language Models (LLMs) and Generative Artificial Intelligence not merely as industrial productivity enhancers, but as vital “social scaffolds” capable of fostering a more inclusive society. Crucially, we propose a paradigm shift in the concept of Ethical Computing—moving from a passive defensive framework of non-maleficence (“do no harm”) to an active mandate of beneficence, where AI systems are explicitly developed to serve marginalized and un(der)served populations. Through this expanded ethical lens, we systematically analyze the democratizing impact of AI across four primary axes of inclusivity: socio-economic (providing zero-cost medical triage and legal translation for undocumented populations), neurospicy (acting as a non-judgmental communicative bridge for individuals with Autism Spectrum Disorder), pedagogical (delivering hyper-personalized executive function support for Special Educational Needs), and psychological (serving as an accessible, first-level triage system for mental health crises). By framing LLMs as a modern social safety net, we outline a clear trajectory for future research, advocating for an “ethical-by-design” development paradigm that explicitly prioritizes equity, accessibility, and the active dismantling of historical barriers for the digitally and socially disenfranchised. Full article

The Horn of Africa (Kenya, Djibouti, Uganda, Eritrea, Somalia, Ethiopia, South Sudan, and Sudan) faces the highest rates of hunger and malnutrition in the world, exacerbated by conflict and adverse weather conditions. These factors have serious health, educational, social, and economic consequences, especially for children under five and pregnant women. In this context, we analyze each country’s progress toward Sustainable Development Goals (SDGs) 1, 2, 3, and 4, which are closely linked to the eradication of hunger, improved health, and access to quality education. Using comparable data from the United Nations 2030 Agenda up to 2019, the achievement of the SDGs is assessed through a multidimensional approach based on Pena’s P₂ distance method, constructing a composite indicator that allows for robust cross-country comparisons. This method helps identify the key measures needed to prevent future humanitarian crises in the Horn of Africa, including providing urgent assistance to these countries in vital areas such as water, nutrition, education, sanitation, and child and maternal immunization. Factors related to the work of qualified healthcare personnel in treating diseases and improving maternal and neonatal health, as well as facilitating access to basic services such as clean drinking water and sanitation and ensuring girls’ access to primary education, top the rankings in terms of their correlation with greater progress by these countries in achieving these four SDGs, which are crucial for improving the well-being of their populations. Full article

Background: The COVID-19 pandemic triggered unprecedented mobility disruptions worldwide as governments imposed strict lockdowns to contain the spread of the virus. In India, prolonged restrictions severely affected economic activity, particularly for migrant workers, leading to a large-scale and unplanned exodus from urban employment centres to native places. This sudden population movement undermined containment efforts and contributed to the spatial diffusion of infections. Understanding evacuees’ behavioural responses during such crises is therefore critical for effective emergency logistics and evacuation planning. Methods: This study examines the determinants of transport mode and shelter choice decisions made by migrants during the COVID-19-induced evacuation in India. Using primary survey data, a multinomial logistic regression model is developed to analyze how socio-economic characteristics influence evacuees’ choices of travel mode and shelter type. Results: The results reveal significant heterogeneity in decision-making, highlighting the role of economic vulnerability and accessibility constraints in shaping evacuation behaviour. Conclusions: The findings offer actionable insights for policymakers and emergency planners to design inclusive evacuation strategies, improve crisis-responsive transportation planning, and enhance shelter provisioning in future pandemics or large-scale disruptions. The study contributes to the logistics and humanitarian operations literature by providing empirical evidence on evacuation behaviour under public health emergencies. Full article

Disinformation, amplified by digital platforms and algorithmic distribution systems, represents a growing challenge for media trust, public health communication, and societal stability. This narrative literature review examines disinformation through an integrative psychosocial perspective, focusing on how patterns of exposure interact with individual vulnerability factors—including education, political beliefs, social identity, personality traits, and emotional responses to uncertainty—to influence the processing and acceptance of misleading information. The review synthesises interdisciplinary evidence on how algorithmic amplification and emotionally salient content increase susceptibility to disinformation and shape risk perception, health-related decision-making, and preventive behaviours. Findings indicate that repeated exposure to false or misleading information reinforces perceived credibility through familiarity effects, contributes to declining trust in institutional sources, and intensifies social and political polarisation. Disinformation is therefore conceptualised not only as an informational problem but also as a psychosocial process affecting emotional regulation, cognitive evaluation, and collective responses to crises, particularly in public health contexts. The analysis further highlights a recursive feedback loop in which reduced media trust increases vulnerability to subsequent disinformation, with broader implications for democratic participation and social cohesion. Mitigation strategies discussed include media literacy initiatives, critical thinking education, platform governance, regulatory approaches, and interventions targeting psychosocial drivers of susceptibility. Full article

Background: The COVID-19 pandemic posed unprecedented challenges for elite athletes, disrupting training routines and affecting mental health. This study examined the impact of social isolation on training, sleep, motivation, and psychological well-being among Portuguese Paralympic athletes. Methods: Forty-five athletes (31.36 ± 10.81 years) from the Paralympic Preparation Program participated, divided into the Paralympic Preparation Project (PPP; n = 21) and the Paralympic Hopes and Talents Project (PHTP; n = 24). Training routines before and during social isolation were compared. Sleep duration, training motivation, and mental health were assessed using the Mental Health Inventory-5 (MHI-5). The analysis employed paired and independent t-tests and a multiple linear regression (Enter method) to examine predictors of mental health. Results: Daily training duration declined by 34.3% (p < 0.001), though weekly frequency remained stable (p = 0.061). PPP athletes reported higher mental health scores than PHTP athletes (66.24 vs. 60.37; p = 0.048). The regression model explained 42.8% of the variance in mental health (R² = 0.428). Sleep duration was positively associated with mental health and showed the highest standardized coefficient in the regression (β = 0.351; p = 0.008), followed by PPP status (β = 0.315; p = 0.024) and motivation (β = 0.278; p = 0.041). Conclusions: Maintaining biological routines, particularly sleep and motivation, supports mental health under social isolation. Higher well-being among PPP athletes underscores the need for targeted interventions for less experienced athletes. Sports organizations should prioritize sleep hygiene and psychological support to mitigate vulnerability during crises. Full article