One Health最新文献

This systematic review investigates how One Health systems, integrated digital platforms combining human, animal, and environmental health data, are currently designed and implemented for infectious disease detection and management. The study aims to identify integration patterns, functional purposes, and user interactivity across 202 reviewed systems published between 2015 and 2024. It categorized these systems by their purpose, diseases addressed, data types (human, animal, environmental), and user groups, such as public health officials and researchers. The tasks performed include data collection, analysis, visualization, and decision-making. Interactive techniques range from interactive filtering to predictive modeling, with varying levels of user interactivity, and note whether functional systems are available online. The search strategy utilized the keywords "one health dashboard visualization system OR one health dashboard OR one health system" across various databases Including IEEE xplore ScienceDirect PubMed And google scholar As well as other sources. While a significant portion of studies still rely on single-domain data, i.e., 20% of studies use only human data, 12% use only animal data, and 10% use only environmental data. The largest group (30%) integrates human and animal data, followed by 12% combining human and environmental data, and a smaller portion (1%) integrating animal and environmental data. The details of this comprehensive survey can be found on this webpage: https://onlylinks.cc/DjHH. There is a clear trend toward integrating multiple datasets, especially Human and Animal data. However, fully integrated One Health systems that combine all three domains remain relatively limited and often take the form of commentaries rather than applied systems, highlighting an opportunity for more comprehensive, data-driven implementations in future research.

Antimicrobial resistance (AMR) in foodborne bacteria is an escalating global public health challenge, threatening the effectiveness of antibiotics and food safety. This review examines AMR trends in foodborne bacteria, compares management strategies across different regions, and explores policies aligned with the One Health approach. Data from Taiwan, the United States, the European Union, Japan, and Africa indicate that foodborne pathogens exhibit significant resistance to antibiotics, posing serious challenges to public health and food systems. In response to this growing challenge, nations have implemented surveillance programs, national action plans, and public awareness campaigns, often guided by the World Health Organization (WHO) and international frameworks. It also proposes key management strategies, including risk assessment, environmental monitoring of food production and processing, and enhanced cross-sector collaboration. By integrating national AMR management efforts with global best practices, countries can strengthen their capacity to address this pressing challenge. Collaborative actions, including policy alignment, research innovation, and cross-sector cooperation, are essential for achieving more effective control of foodborne AMR pathogens worldwide.

Blastocystis is one of the most prevalent intestinal protists, colonizing more than one billion people worldwide. Nevertheless, its role in health and disease remains blurred. Blastocystis was historically dismissed as a commensal. However, it can have pathogenic or protective effects. This review synthesizes molecular epidemiology, clinical research, microbiome studies, and experimental models through a One Health approach to reassess Blastocystis. Subtypes ST1-ST4 are dominant in humans, but their health outcomes vary. ST4 is associated with irritable bowel syndrome and inflammatory responses. However, it has also been shown to exert protective effects on murine colitis models. In contrast, ST3 is frequently detected in healthy individuals with a diverse gut microbiota. Blastocystis is also widespread in animals, untreated water, wastewater, and food, reflecting complex transmission dynamics and raising concerns in low- and middle-income countries where poverty-related exposures increase risks. Diagnostic advances have improved detection, although mixed infections and inconsistent clinical interpretations persist, and treatment guidelines remain absent. Rather than being a uniform pathogen or benign passenger, Blastocystis emerges as a context-dependent component of the gut ecosystem and environmental microbiota. Its ubiquity across humans, animals, and the environment requires integrated surveillance, subtype-informed research, and interdisciplinary health strategies. Recognizing the ecological complexity of Blastocystis is essential for equitable diagnostics, treatment, and public health responses within the One Health framework.

Vibrio has emerged as one of responsive pathogens to the conditions imposed by global warming, with an increasing impact in northern Europe. The epidemiological significance of these pathogens remains undetermined in the south of Europe. We analyzed clinical and epidemiological data from cases in southern Spain, a well-established climate hotspot. A 13-year retrospective analysis identified 167 clinical infection cases. Monthly seawater temperatures since 2010 were also evaluated to assess their correlation with infection occurrence. V. alginolyticus, Shewanella putrefaciens, S. algae, V. parahaemolyticus, V. fluvialis, and V. vulnificus were the most frequently isolated species from clinical cases such as otitis, gastroenteritis, infected wounds, and sepsis. An increase in incidence was observed over the study period in parallel to the warming trend in coastal waters. While this suggests an association between environmental change and Vibrio infections, additional factors such as population exposure patterns may likely also contribute. These findings underscore the need for surveillance systems to monitor the burden of these infections.

Global escalation of infectious disease outbreak risks necessitates advanced predictive models. Despite methodological advances, errors in initial states and parameters of epidemiological dynamic models remain a key limitation to prediction reliability. To address this limitation, we propose an optimized data assimilation framework for combined state-parameter optimization based on Ensemble Kalman Filter. We design space transformations and adaptive covariance inflation driven by epidemic development and prediction errors, achieving a more stable update process and rapid response to epidemic changes. Through synthetic experiments and real-world case studies, the proposed scheme significantly reduces initial state and parameter errors, leading to a substantial improvement in prediction accuracy during the early stages of an epidemic. Compared with predictions without data assimilation, the average prediction error rate decreased by more than 50 % for 1-day predictions and by approximately 15 % for 7-day predictions. The prediction accuracy rate for the peak day of the epidemic and the peak number of infected cases reached more than 70 % in advance by 3 days. Critically, simple dynamical model integrated with our data assimilation framework outperform complex models without data assimilation. This study establishes data assimilation as an essential tool for epidemic forecasting and provides an extensible framework adaptable to multiple infectious diseases, offering critical support for public health decision making.

Despite efforts to control visceral leishmaniasis (VL), the disease remains a major burden in low- and middle-income countries. In South America, insecticide-impregnated dog collars help prevent disease transmission, as dogs are the main reservoirs in urban areas. This study evaluated the efficacy of 4 % deltamethrin-impregnated collars (DMC) against canine VL (CVL) over a 24-month period in an endemic area of Brazil. We compared 941 DMC dogs with 1032 control dogs (C) across four geographic areas with similar baseline disease prevalence. The difference between the DMC and C cohorts was statistically significant (p < 0.05), and the study achieved an overall efficacy of 63 %, 51 %, 48 %, and 58 % at the first, second, third, and fourth follow-ups, respectively. Among dogs that remained protected, efficacy was 74 %, 67 %, 100 %, and 100 % across the follow-ups, whereas in dogs that lost their collars between follow-ups, efficacy was 45 %, 10 %, 23 %, and - 11 %. Collar loss between follow-ups was associated with a 2.25-fold increase in the odds of CVL (OR 2.25, p < 0.05). No statistically significant geographical variation in collar loss was observed, and most losses were potentially preventable. However, infrequently bathed dogs had significantly higher odds of CVL (OR 9.93, p < 0.05). These results help demystify sociocultural stigmas related to collar loss and support the development of targeted public health education initiatives. Ensuring collar retention, incorporating owners' cultural behaviors to promote consistent collar use, and integrating educational actions within the One Health and Health Promotion frameworks are crucial to maximizing the success of large-scale dog interventions in public health.

Bartonellosis is a neglected vector-borne zoonotic disease caused by Bartonella species that infect a wide array of mammals. The adaptation of Bartonella to various animal hosts, including small mammal populations, has been reported, indicating their potential as a significant reservoir harboring a high genetic diversity of these pathogens, thereby posing a risk for zoonotic transmission to humans through close ecological or physical contact. Thus, this study aimed to give an overview of the prevalence and the genetic diversity of Bartonella spp in small mammals throughout Europe. Consequently, a systematic review was undertaken by retrieving all relevant articles indexed in PubMed, Scopus and Web of Science. Subsequently, a meta-analysis was performed to compute the pooled prevalence of Bartonella spp. Moreover, subgroup moderator analyses were then performed, examining the impact of sub-European region, sample type, gender, and small mammal species on the observed prevalence estimates. A total of 76 studies were included in this study. The estimated pooled prevalence of Bartonella spp across small mammal populations in Europe was 30%. Notably, regional analysis revealed significant variations, with the highest prevalence observed in the Eastern region (43%). At the country level, Russia had the highest pooled prevalence of 65%, while Austria had the lowest estimated prevalence (5.7%). Although variations were observed in Bartonella spp prevalence among subgroups, this difference was not statistically significant (p-value > 0.05). A high diversity of Bartonella spp was observed in European small mammals with twenty-one Bartonella species detected, and nine of them being pathogenic to humans. The present study offers a comprehensive understanding of the eco-epidemiology of Bartonella spp in small mammal in Europe, providing insight into their role as reservoirs and potential vectors in the maintenance and transmission of Bartonella species.