Search Results (857)

Obesity is reaching global epidemic proportions worldwide, posing a significant burden on individual health and society. Altered gut microbiota is considered a key factor in the pathogenesis of many diseases, producing metabolites that contribute to the health-beneficial properties of postbiotics. Postbiotics, bioactive microbial components derived from probiotics, are emerging as a valuable strategy in modern medicine and a promising alternative for managing obesity without the need for live bacteria. This work provides a comprehensive overview of the potential health benefits of postbiotics, particularly in relation to obesity, which represents an important health challenge. Despite the encouraging insights into the health benefits of postbiotics, we highlight the need for further research to clarify the mechanisms and the specific roles of different postbiotic components. Integrating postbiotics into health interventions has the potential to enhance preventive care and significantly improve health outcomes in at-risk populations. Full article

Background: Emerging and re-emerging infectious diseases (EIDs and Re-EIDs) cause significant economic crises and public health problems worldwide. Epidemics appear to be more frequent, complex, and harder to prevent. Early warning systems can significantly reduce outbreak response times, contributing to better patient outcomes. Improving early warning systems and methods might be one of the most effective responses. This study employs a bibliometric analysis to dissect the global research hotspots and evolutionary trends in the field of infectious disease early warning, with the aim of providing guidance for optimizing public health emergency management strategies. Methods: Publications related to the role of early warning systems in detecting and responding to infectious disease outbreaks from 1999 to 2024 were retrieved from the Web of Science Core Collection (WoSCC) database. CiteSpace software was used to analyze the datasets and generate knowledge visualization maps. Results: A total of 798 relevant publications are included. The number of annual publications has sharply increased since 2000. The USA produced the highest number of publications and established the most extensive cooperation relationships. The Chinese Center for Disease Control & Prevention was the most productive institution. Drake, John M was the most prolific author, while the World Health Organization and AHMED W were the most cited authors. The top two cited references mainly focused on wastewater surveillance of SARS-CoV-2. The most common keywords were “infectious disease”, “outbreak”, “transmission”, “virus”, and “climate change”. The basic keyword “climate” ranked the first and long duration with the strongest citation burst. “SARS-CoV-2”, “One Health”, “early warning system”, “artificial intelligence (AI)”, and “wastewater-based epidemiology (WBE)” were emerging research foci. Conclusions: Over the past two decades, research on early warning of infectious diseases has focused on climate change, influenza, SARS, virus, machine learning, warning signals and systems, artificial intelligence, and so on. Current research hotspots include wastewater-based epidemiology, sewage, One Health, and artificial intelligence, as well as the early warning and monitoring of COVID-19. Research foci in this area have evolved from focusing on climate–disease interactions to pathogen monitoring systems, and ultimately to the “One Health” integrated framework. Our research findings underscore the imperative for public health policymakers to prioritize investments in real-time surveillance infrastructure, particularly wastewater-based epidemiology and AI-driven predictive models, and strengthen interdisciplinary collaboration frameworks under the One Health paradigm. Developing an integrated human–animal–environment monitoring system will serve as a critical development direction for early warning systems for epidemics. Full article

Campylobacteriosis has been described as an ever-changing disease and health issue that is rather dangerous for different population groups all over the globe. The World Health Organization (WHO) reports that 33 million years of healthy living are lost annually, and nearly one in ten persons have foodborne illnesses, including Campylobacteriosis. This explains why there is a need to develop new policies and strategies in the management of diseases at the intergovernmental level. Within this framework, an advanced stochastic fractional delayed model for Campylobacteriosis includes new stochastic, memory, and time delay factors. This model adopts a numerical computational technique called the Grunwald–Letnikov-based Nonstandard Finite Difference (GL-NSFD) scheme, which yields an exponential fitted solution that is non-negative and uniformly bounded, which are essential characteristics when working with compartmental models in epidemic research. Two equilibrium states are identified: the first is an infectious Campylobacteriosis-free state, and the second is a Campylobacteriosis-present state. When stability analysis with the help of the basic reproduction number $R_0$ is performed, the stability of both equilibrium points depends on the $R_0$ value. This is in concordance with the actual epidemiological data and the research conducted by the WHO in recent years, with a focus on the tendency to increase the rate of infections and the necessity to intervene in time. The model goes further to analyze how a delay in response affects the band of Campylobacteriosis spread, and also agrees that a delay in response is a significant factor. The first simulations of the current state of the system suggest that certain conditions can be achieved, and the eradication of the disease is possible if specific precautions are taken. The outcomes also indicate that enhancing the levels of compliance with the WHO-endorsed SOPs by a significant margin can lower infection rates significantly, which can serve as a roadmap to respond to this public health threat. Unlike most analytical papers, this research contributes actual findings and provides useful recommendations for disease management approaches and policies. Full article

Background: Type 2 diabetes mellitus (T2DM) represents a major global health burden, with prevalence rates escalating due to rapid urbanization, economic growth, and the obesity epidemic. Despite intensive research, the underlying molecular mechanisms remain incompletely understood, with emerging evidence suggesting multifactorial origins involving genetic, epigenetic, lifestyle, and environmental factors. Methods: This review synthesizes current epidemiological data on T2DM prevalence, risk factors, and demographic patterns from 1990 to 2017, and discusses projected trends through 2030. We examine the role of intestinal barrier dysfunction and gut microbiota dysbiosis in T2DM pathogenesis, highlighting key mechanistic insights. Furthermore, we analyze recent findings on the role of butyrate, a major short-chain fatty acid, in preserving gut integrity and its potential therapeutic effects on metabolic health. Results: Global T2DM prevalence has risen markedly across all age groups, with particularly high rates in Western Europe and Pacific Island nations. Disruption of the intestinal barrier (“leaky gut”) and gut microbiota alterations contribute significantly to systemic inflammation and insulin resistance, which are pivotal features in T2DM development. Butyrate plays a central role in maintaining epithelial barrier function, modulating immune responses, and regulating glucose metabolism. Preclinical studies have demonstrated that sodium butyrate supplementation improves gut integrity, reduces systemic endotoxemia, and ameliorates metabolic parameters. Emerging clinical evidence suggests benefits of sodium butyrate, particularly when combined with prebiotic fibers, in improving glycemic control and reducing inflammatory markers in T2DM patients. Conclusions: Gut barrier integrity and microbiota composition are critical factors in T2DM pathogenesis. Sodium butyrate shows promise as a complementary therapeutic agent in T2DM management, although further large-scale, long-term clinical trials are required to confirm its efficacy and safety. Targeting gut health may represent a novel strategy for the prevention and treatment of T2DM. Full article

This study simulates the spread of epidemics on university campuses using a multilayer temporal network model combined with the SEIR (Susceptible–Exposed–Infectious–Recovered) transmission model. The proposed approach explicitly captures the time-varying contact patterns across four distinct layers (Rest, Dining, Activity, and Academic) to reflect realistic student mobility driven by class schedules and spatial constraints. It evaluates the impact of various intervention measures on epidemic spreading, including subnetwork closure and zoned management. Our analysis reveals that the Academic and Activity layers emerge as high-risk transmission hubs due to their dynamic, high-density contact structures. Intervention measures exhibit layer-dependent efficacy: zoned management is highly effective in high-contact subnetworks, its impact on low-contact subnetworks remains limited. Consequently, intervention measures must be dynamically adjusted based on the characteristics of each subnetwork and the epidemic situations, with higher participation rates enhancing the effectiveness of these measures. This work advances methodological innovation in temporal network epidemiology by bridging structural dynamics with SEIR processes, offering actionable insights for campus-level pandemic preparedness. The findings underscore the necessity of layer-aware policies to optimize resource allocation in complex, time-dependent contact systems. Full article

The growing epidemic of childhood obesity is a major threat to their overall development and poses a number of challenges for health systems. We propose an integrated framework to comprehensively address childhood obesity. The proposed architecture addresses essential data management and pre-processing functionalities to support scalable, secure, and privacy-preserving data processing in distributed environments. We are also incorporating a health data-driven AI approach for predictive analytics and decision support. There is additionally a User Engagement Layer, which serves as the main point of interaction for users. It connects individuals to system capabilities, facilitating data collection, progress monitoring, and insights. Finally, we present four serious games designed to address protective factors (such as physical activity and healthy eating) and mitigate risk factors (such as excessive screen time and unhealthy food choices). The identified educational objectives were translated into game elements including goal setting, social support, and positive reinforcement. In order to facilitate our approach, we have described the essential data flows and user interactions within our Biobank architecture. Full article

Wheat stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), poses a significant threat to wheat production in China. Previous epidemic studies have demonstrated the potential of high genetic diversity in the southwest regions of China. Among this epidemic region, the eastern Xizang (Tibet) region holds particular significance, as both wheat and barley crops are susceptible to Pst. However, limited information exists regarding the level of population genetic diversity, reproduction model, and migration patterns of the rust in eastern Xizang. The present study seeks to address this gap by analyzing 146 Pst isolates collected from the Basu, Zuogong, and Mangkang regions, genotyping by the 20K target Gene Array (Genobait). Our results showed relatively low genotypic diversity in the Basu region, while the highest genetic diversity was observed in the Mangkang area. Structural analysis revealed the abundance of admixed groups in Mangkang, which exhibited this population occurred due to sexual recombination between two different ancestor groups. Gene flow was observed between Zuogong and Basu populations, but it almost did not occur between Mangkang and Zuogong/Basu populations. This region is the world’s highest-altitude epidemic area, thus facilitating the evolution of the rust and possessing the potential to transmit newly evolved Pst races to lower wheat-growing regions. Implementing disease management strategies in this area is of potential importance to prevent the transmission of Pst races to other parts of Xizang, even neighboring regions possibly. This study facilitates our understanding of epidemiological and population genetic knowledge and the evolution of Pst in Xizang. Full article

This study examined the factors influencing wild boar population density in Slovakia from 2013 to 2023, focusing on biometeorological, demographic, and ecological variables. Linear regression models were used to analyze spring population figures and the number of hunted animals across eight self-governing regions. Following the African swine fever outbreak in 2019, population dynamics changed significantly. The number of wild boars hunted increased while population densities decreased, particularly in the Presov, Kosice, and Banska Bystrica regions. Biometeorological factors, including monthly air temperature and precipitation, significantly influenced wild boar density at the national level, with soil temperature at a 5 cm depth playing a key role regionally. Demographic factors, such as road network and human population densities, also impacted wild boar populations, with road network density being the most important. Ecological factors, including the presence of brown hares, common pheasants, and grey wolves, had varying effects across regions. Grey wolf predation and interspecies competition were particularly significant in mountainous, less urbanized areas. The joint influence of biometeorological and demographic factors was higher in regions affected by African swine fever. This study highlights the complex interactions between environmental, demographic, and ecological factors and provides insights into more effective wildlife management strategies aimed at the sustainable management of wild boar populations. It advocates for a regionally tailored, integrated approach that considers the influence of biometeorological, demographic, and ecological factors, while also addressing the risks associated with epidemics, such as African swine fever. Full article

The interplay between Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) and viral hepatitis, primarily hepatitis B virus (HBV) and hepatitis C virus (HCV), presents a complex challenge in managing chronic liver diseases. Recent epidemiological insights suggest an escalating prevalence of MASLD globally, attributed mainly to the obesity epidemic and associated metabolic disorders. Concurrently, chronic viral hepatitis remains a significant contributor to liver disease morbidity and mortality worldwide, despite advances in antiviral therapies. According to the World Health Organization (WHO) 2023 data, approximately 296 million people are living with chronic HBV infection (about 3.8% of the global population), and 58 million people with HCV infection (about 0.7%), together accounting for over 1.1 million deaths annually. The coexistence of MASLD and viral hepatitis presents a complex scenario in clinical outcomes, where the effects on liver health can vary. Although many studies highlight the potential for additive or synergistic worsening of liver conditions, leading to complications such as cirrhosis, liver failure, and HCC, the impact of HBV on MASLD is not consistent. Managing patients with dual MASLD and viral hepatitis is complex due to the interplay of metabolic and viral factors. Lifestyle modifications, including weight loss, dietary changes, and physical activity, are fundamental to MASLD management and help reduce fibrosis risk in viral hepatitis. This review examines the dual impact of MASLD and viral hepatitis on liver pathology and delineates shared pathophysiological mechanisms, including the influence on hepatic steatosis, inflammation, and fibrogenesis. It also discusses therapeutic strategies tailored to manage this comorbidity, emphasizing the need for an integrated care approach that addresses both metabolic dysfunctions and viral infection to optimize patient outcomes. Full article

Objective: This study seeks to forecast the global burden of diabetes-related mortality by type, age group, WHO region, and income classification through 2030, and to assess progress toward Sustainable Development Goal (SDG) 3.4, which aims to reduce premature mortality (among people age 30–70 years) from noncommunicable diseases (including diabetes) by one-third. Methods: We analyzed diabetes mortality data from the Institute for Health Metrics and Evaluation, Global Burden of Disease 2019, covering 30 years (1990–2019). Using this historical dataset, we generated 11-year prospective forecasts (2020–2030) globally and stratified by diabetes type (type 1, type 2), age groups, WHO regions, and World Bank income classifications. We employed multiple time series and epidemic modeling approaches to enhance predictive accuracy, including ARIMA, GAM, GLM, Facebook’s Prophet, n-sub-epidemic, and spatial wave models. We compared model outputs to identify consistent patterns and trends. Results: Our forecasts indicate a substantial increase in global diabetes-related mortality, with type 2 diabetes driving the majority of deaths. By 2030, annual diabetes mortality is projected to reach 1.63 million deaths (95% PI: 1.48–1.91 million), reflecting a 10% increase compared to 2019. Particularly concerning is the projected rise in mortality among adults aged 15–49 and 50–69 years, especially in Southeast Asia and low- and middle-income countries. Mortality in upper-middle-income countries is also expected to increase significantly, exceeding a 50% rise compared to 2019. Conclusions: Diabetes-related deaths are rising globally, particularly in younger and middle-aged adults in resource-limited settings. These trends jeopardize the achievement of SDG 3.4. Urgent action is needed to strengthen prevention, early detection, and management strategies, especially in Southeast Asia and low-income regions. Our findings provide data-driven insights to inform global policy and target public health interventions. Full article

Understanding the time dynamics of systemic risk in banking networks is crucial for preventing financial crises and ensuring economic stability. This paper aims to quantify key transition times in the evolution of distress within a banking system using a mathematical framework. We investigate the dynamics of systemic risk in a hypothetical, homogeneous banking network using the Undistressed–Exposed–Distressed–Recovered (UEDR) model. The UEDR model, inspired by compartmental epidemic frameworks, captures how financial distress propagates and recedes through interactions between banks. It is selected because of its tractability and its ability to distinguish between different stages of bank vulnerability. We focus on two critical times, denoted as $t_1$ and $t_2$, which play a fundamental role in understanding the behavior of the distressed compartment (representing the number of distressed banks) over time. The time $t_1$ represents the first instance of a decrease in the number of distressed banks, indicating the containment of systemic risk. On the other hand, the time $t_2$ marks the onset when the number of undistressed banks falls below a specified threshold, signifying the restoration of financial stability. We examine these time dependencies by considering the initial conditions of the UEDR model and assess their characteristics using partial differential equations. We establish the continuity, smoothness, and uniqueness of solutions for $t_1$ and $t_2$, along with their corresponding boundary conditions. Furthermore, we provide explicit representation formulas for $t_1$ and $t_2$, allowing for precise estimation when the initial population compartments are large. Our results provide practical insights for financial regulators and policymakers in determining time-sensitive interventions for mitigating systemic risk and accelerating recovery in banking systems. The findings highlight how mathematical modeling can inform real-time risk management strategies in financial networks. Full article

Flaviviruses are a group of viruses transmitted mainly by mosquitoes and ticks, causing severe diseases in humans. Examples include dengue, Zika, West Nile virus, and yellow fever. They primarily affect individuals in tropical and subtropical regions, causing public health problems such as epidemic outbreaks and significant economic burdens due to hospitalizations and treatments. They share antigens, leading to cross-reactivity where antibodies generated against one flavivirus can react with others, complicating the accurate diagnosis of individual infections and making the development of treatments or vaccines more challenging. The role of T cells in the immune response to flaviviruses is a complex topic debated by scientists. On one hand, T cells help control infection by eliminating infected cells and protecting against disease. However, there is evidence that an excessive or dysregulated T cell response can cause tissue damage and worsen the disease, as seen in severe dengue cases. This duality underscores the complexity of the immune response to flavivirus infections, posing a significant challenge for researchers. Gaining a deeper understanding of the immune response at the cellular level, particularly the role of T follicular helper cells, can reveal new avenues of investigation that could lead to novel strategies for disease management. This review explores the dynamics of T cell responses, focusing on circulatory T follicular helper cells (cT_FH), to enhance our understanding of flavivirus immunity and inform future interventions. Full article

The Amazonian region comprises a set of ecosystems that play an essential role in stabilizing global climate and regulating carbon and water cycles. However, several environmental issues of anthropogenic origin threaten climate stability in this region: agribusiness, illegal mining, illegal timber exports, pesticide use, and biopiracy, among others. These actions lead to deforestation, soil erosion, fauna biodiversity loss, water resource contamination, land conflicts, violence against indigenous peoples, and epidemics. The present study aims to feature the current degradation process faced by the Amazonian biome and identify strategic alternatives based on science to inhibit and minimize the degradation of its biodiversity and water resources. This applied research, based on a systematic review, highlighted the complexity, fragility, and importance of the functioning of the Amazonian ecosystem. Although activities such as mining and agriculture notoriously cause soil degradation, this research focused on the scenarios of biodiversity and water resource degradation. The dynamics of the current Amazon degradation process associated with human activity and climate change advancement were also described. Ultimately, the study emphasizes that, given the invaluable importance of the Amazon’s biodiversity and natural resources for global climate balance and food and water security, anthropogenic threats endanger its sustainability. Beyond the well-known human-induced impacts on the forest and life, the findings highlight the need for strategies that integrate forest conservation, sustainable land management, and public policies focused on the region’s sustainable development. These strategies, supported by partnerships, include reducing deforestation and burning, promoting environmental education, engaging local communities, enforcing public policies, and conducting continuous monitoring using satellite remote sensing technology. Full article

Background: Bronchiolitis accounts for a substantial number of pediatric hospitalizations and its epidemiology closely parallels that of respiratory syncytial virus (RSV), its principal etiological agent. International guidelines recommend supportive therapy based primarily on oxygen supplementation and hydration. Methods: This study aimed to assess, across three pediatric wards, the impact of internal monitoring and targeted educational interventions on adherence to bronchiolitis management guidelines. Focus was placed on evaluating the effectiveness of tailored strategies in enhancing the appropriateness of treatment practices. Each center independently developed an audit and feedback strategy aligned with local practices and available resources. In Center 1, monthly staff meetings included guideline refreshers throughout the epidemic season. Center 2 appointed two attending physicians to monitor treatment prescriptions and report deviations. Center 3 established an internal protocol through staff consensus, followed by monthly review sessions. In this retrospective analysis, all consecutive patients admitted with bronchiolitis during the winter seasons of 2022–2023 and 2023–2024 (Period 2) were compared with those admitted in 2021–2022 (Period 1). Results: A total of 623 infants under 24 months of age were included, 451 (72%) of whom tested positive for RSV. Their median length of hospital stay was 6 days; 26 infants (4%) required intensive care, and no deaths were recorded. A comparative analysis of the treatment modalities used—high-flow nasal cannula (HFNC) oxygen therapy, inhaled medications, corticosteroids, and antibiotics—revealed a reduced use of non-recommended therapies (e.g., nebulized β2-agonists, steroids, and antibiotics) in Period 2, alongside heterogeneous patterns in HFNC use. Center-specific strategies, tailored to team dynamics and resource availability, effectively promoted greater adherence to evidence-based guidelines. Conclusions: Our findings suggest that structured internal interventions can lead to more appropriate bronchiolitis management and the improved standardization of care. Full article

Monkeypox (mpox) is a zoonotic disease (zoonose) caused by the monkeypox virus (MPXV). MPXV, a member of the Orthopoxviridae family, is categorized into two clades, Central Africa (I) and West Africa (II), each of which is further subdivided into subclades a and b. Clade I generally causes more serious illness and higher mortality rates, while Clade II results in milder illness. Historically, mpox epidemics were localized to specific regions and countries in Africa. Since 2022, the mpox epidemic, fueled by MPXV Clade IIb, has swiftly spread across various nations and regions, jeopardizing public health and safety. However, starting in 2024, Clade Ib gradually replaced Clade IIb. The notable genetic variation in Clade Ib may provide MPXV with new opportunities to evade the immune system and adapt to hosts. According to the World Health Organization (WHO), from 1 January 2022, to 24 November 2024, there were 117,663 confirmed cases and 2 probable cases, resulting in 263 deaths across 127 Member States in all six WHO regions. As of 9 January 2025, 12 countries outside Africa have reported imported MPXV Clade Ib cases, with secondary cases emerging in the United Kingdom, Germany, and China. Due to the incomplete development of a vaccine specifically for MPXV, the smallpox vaccine remains in use for preventing mpox or for emergency vaccination post-exposure. Therefore, the persistent spread of mpox is still a major concern, requiring greater awareness and vaccination efforts in populations at high risk. This paper aims to summarize the etiological characteristics, epidemic situation, and vaccine prevention efforts for mpox, offering a reference for managing this serious epidemic and ensuring effective scientific prevention and control. Full article