Science in One Health最新文献

Background

Chagas disease (CD) is transmitted by vectors but can also be transmitted orally through contaminated food, drinks, or meat. The One Health perspective aims to understand the complex interaction between human, animal, and environmental health in controlling disease. This study analyzed risk factors and drew lessons from past outbreaks of orally transmitted CD to develop effective preventive strategies.

Methods

A simultaneous mixed methods study was conducted. The study consisted of two phases: an ecological epidemiological analysis at the municipal level using secondary data spanning from 1992 to 2023, and semistructured interviews with health providers and policymakers at the national level in Colombia. The results from both phases were triangulated to gain a comprehensive understanding of the topic.

Results

A total of 64 outbreaks, infecting 302 individuals, were reported. Most of these outbreaks (89.2%) were classified as family-related, and they occurred most frequently during the months of April to June (46.6%). It is worth noting that a significant number of these outbreaks took place in municipalities that lacked vector control plans. Risk factors for oral transmission included the location of food preparation, poor housing quality, food preparation water source, the presence of vectors/marsupials, forest type, and climatic variables. Interviews conducted emphasized the importance of implementing outbreak plans and providing staff training to effectively address the issue.

Conclusion

A One Health approach strengthening prevention, surveillance, case management and cross-sectoral collaboration is needed to control outbreaks and reduce transmission in Colombia. Preparedness plans and education of health professionals are also important. This study identified modifiable risk factors to guide public health interventions.

Haemaphysalis ticks are pathogenic vectors that threaten human and animal health and were identified in Chongming, the third largest island in China. To understand the distribution of these ticks and determine their potential invasion risk, this study aimed to identify the habitat suitability of the dominant tick H. flava based on natural environmental factors. Geographic information system (GIS) images were combined with sample points from tick investigations to map the spatial distribution of H. flava. Data on 19 bioclimatic variables, environmental variables, and satellite-based landscapes of Chongming Island were retrieved to create a landcover map related to natural environmental determinants of H. flava. These data included 38 sites associated with the vectors to construct species distribution models with MaxEnt, a model based on the maximum entropy principle, and to predict habitat suitability for H. flava on Chongming Island in 2050 and 2070 under different climate scenarios. The model performed well in predicting the H. flava distribution, with a training area under the curve of 0.84 and a test area under the curve of 0.73. A habitat suitability map of the whole study area was created for H. flava. The resulting map and natural environment analysis highlighted the importance of the normalized difference vegetation index and precipitation in the driest month for the bioecology of H. flava, with 141.61 km² (11.77%), 282.94 km² (23.35%), and 405.30 km² (33.69%) of highly, moderately, and poorly suitable habitats, respectively. The distribution decreased by 135.55 km² and 138.82 km² in 2050 and 2070, respectively, under the shared socioeconomic pathway (SSP) 1.2.6 climate change scenario. However, under SSP 5.8.5, the total area will decrease by 128.5 km² in 2050 and increase by 151.64 km² in 2070. From a One Health perspective, this study provides good knowledge that will guide tick control efforts to prevent the spread of Haemaphysalis ticks or transmission risk of Haemaphysalis-borne infections at the human-animal-environment interface on the island.

Neglected and underutilized species of plants (NUS) have been identified by the Food and Agriculture Organization as valuable resources for fighting poverty, hunger and malnutrition as they can help make agricultural production systems more sustainable and resilient. Adaptation of NUS to changing environments over several millennia has rendered most of these plants resistant to pests and climate change. In this paper, we explore the potential values of some of the Mayan fruit trees justifying conservation efforts in their native habitats. Our research was primarily based on a scoping review using Google Scholar. We considered articles published in English, Spanish and Portuguese. Our review rendered two sets of articles including those focusing on the nutritional and medicinal properties of NUS and their products, and those focusing on their uses in traditional medicine. Both sets of papers strongly support arguments for conservation of NUS. Additionally, our scoping review expands and includes a case study on the conservation of NUS, highlighting the critical role of civil society on how it can spearhead rescue efforts of botanical resources through the creation of what is possibly the first arboretum of its kind in the Americas. Among the project's key selling points was not only the rescue of an important component of Yucatan's cultural heritage but its nutritional value as well as its potential medicinal properties. Our paper is not prescriptive on how to preserve or even commercially exploit NUS. It is intended as a thought-provoking piece on the potential of a One Health approach as a multisectoral platform to support conservation efforts, while stimulating greater interest in the subject and encouraging more action from the academic and pharmaceutical sectors as well as civil society.

To detect and respond to emerging diseases more effectively, an integrated surveillance strategy needs to be applied to both human and animal health. Current programs in Asian countries operate separately for the two sectors and are principally concerned with detection of events that represent a short-term disease threat. It is not realistic to either invest only in efforts to detect emerging diseases, or to rely solely on event-based surveillance. A comprehensive strategy is needed, concurrently investigating and managing endemic zoonoses, studying evolving diseases which change their character and importance due to influences such as demographic and climatic change, and enhancing understanding of factors which are likely to influence the emergence of new pathogens. This requires utilisation of additional investigation tools that have become available in recent years but are not yet being used to full effect. As yet there is no fully formed blueprint that can be applied in Asian countries. Hence a three-step pathway is proposed to move towards the goal of comprehensive One Health disease surveillance and response.

Artificial intelligence (AI) is a rapidly evolving field that can impel research in communicable diseases with respect to climate projections, ecological indicators and environmental impact, at the same time revealing new, previously overlooked events. A number of zoonotic and vector-borne diseases already show signs of expanding their northern geographical ranges and appropriate risk assessment and decision support are urgently needed. The deployment of AI-enabled monitoring systems tracking animal populations and environmental changes is of immense potential in the study of transmission under different climate scenarios. In addition, AI's capability to identify new treatments should not only accelerate drug and vaccine discovery but also help predicting their effectiveness, while its contribution to genetic pathogen speciation would assist the evaluation of spillover risks with regard to viral infections from animals to human. Close collaboration between AI experts, epidemiologists and other stakeholders is not only crucial for responding to challenges interconnected with a variety of variables effectively, but also necessary to warrant responsible AI use. Despite its wider successful implementation in many fields, AI should be seen as a complement to, rather than a replacement of, traditional public health measures.

Background

Zoonotic diseases originating in animals pose a significant threat to global public health. Recent outbreaks, such as coronavirus disease 2019 (COVID-19), have caused widespread illness, death, and socioeconomic disruptions worldwide. To cope with these diseases effectively, it is crucial to strengthen surveillance capabilities and establish rapid response systems.

Aim

The aim of this review to examine the modern technologies and solutions that have the potential to enhance zoonotic disease surveillance and outbreak responses and provide valuable insights into how cutting-edge innovations could be leveraged to prevent, detect, and control emerging zoonotic disease outbreaks. Herein, we discuss advanced tools including big data analytics, artificial intelligence, the Internet of Things, geographic information systems, remote sensing, molecular diagnostics, point-of-care testing, telemedicine, digital contact tracing, and early warning systems.

Results

These technologies enable real-time monitoring, the prediction of outbreak risks, early anomaly detection, rapid diagnosis, and targeted interventions during outbreaks. When integrated through collaborative partnerships, these strategies can significantly improve the speed and effectiveness of zoonotic disease control. However, several challenges persist, particularly in resource-limited settings, such as infrastructure limitations, costs, data integration and training requirements, and ethical implementation.

Conclusion

With strategic planning and coordinated efforts, modern technologies and solutions offer immense potential to bolster surveillance and outbreak responses, and serve as a critical resource against emerging zoonotic disease threats worldwide.

The attention on microbiome research and its translation to application deployment is escalating along with diffused hype. There is real excitement in this new science, leveraging the growing potential of advances in molecular biology and sequencing techniques. Yet, despite the substantial efforts provided by the scientific communities, the true significance of research achievements requires coordinated and constructive actions across interdisciplinary fields. Individual researchers, universities, small and large companies, venture capitalists, and governments play a fundamental role in fostering collaboration and promoting knowledge that will benefit each other and sustain global prosperity. Making meaningful connections across different fields and getting a new perspective on how technological developments interrelate are the main drivers for creativity and progress.

To help the broader innovation community focus on potentially new cross-sectorial developments, the One Health-microbiome-centric approach, defined here as “Microbiome One Health”, is considered as the efficient, holistic approach to product and service exploitations meant to preserve human well-being within a healthy ecosystem. The model opposes the biomedical system and generalizes the “One World-One Health ™” concept. The focus will be given to Nutrition as a driver of health and the food system for its commercial exploitation microbiome-centric, specifically at the interface of human/animal/agricultural. Remarkably, at the interface of humans/animals, the interaction with pets, specifically dogs, has been recognized as a driving force of novel microbiome exploitation.

Background

Antimicrobial resistance (AMR) is a global public health threat that requires actions through One Health intervention. This study aims to trace the historical development of One Health research on AMR to provide evidence supporting future research and actions.

Methods

A bibliometric analysis is conducted with One Health articles in the field of antimicrobial resistance (AMR-OH articles) retrieved from the Web of Science Core Collection (WoSCC). AMR-OH articles refer to articles in the field of AMR that simultaneously involve elements from human health and at least one other domain, including animals, environment, or plants. Three research periods were identified based on the development of global actions in combating AMR. Descriptive analysis of publications, keyword cluster analysis, annual trending topic analysis, and co-authorship analysis were conducted using R software, VOSViewer, and Pajek.

Results

The results indicated that the percentage of AMR-OH articles among all AMR articles increased from 5.21% in 1990 to 20.01% in 2023. Key topics in the current AMR-OH articles included the mechanism of AMR, AMR epidemiology, and public health control strategies. Epidemiological research initially focused on human and animal health and then shifted to environmental factors in the third period. Research at the molecular level focused on the mechanisms of AMR transmission in various domains, along with the dynamics and diversity of antibiotic resistance genes (ARGs). The co-authorship analysis suggested a significant increase in cooperation among low- and middle-income countries in the third period.

Conclusion

The scope of epidemiological research on AMR has expanded by including human, animal, and environmental areas. Moreover, genetic and molecular level research represents the forefront of this field, offering innovative tools to combat AMR in the future. This study suggests further research to translate existing findings into practical implementation of the One Health strategy, and to support globally consistent action in combating AMR.

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