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.
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.
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.
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.
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.
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.
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.
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.
Over the past few decades, antimicrobial resistance (AMR) has emerged as a global health challenge in human and veterinary medicine. Research on AMR genes in captive wild animals has increased. However, the presence and molecular characteristics of tet(X)-carrying bacteria in these animals remain unknown.
Eighty-four samples were collected from captive wild animals. tet(X) variants were detected using polymerase chain reaction and the isolates were identified using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. All isolated strains were subjected to antimicrobial susceptibility testing and whole-genome sequencing. The virulence of an Escherichia coli strain carrying enterotoxin genes was assessed using a Galleria mellonella larval model.
We isolated two tet(X4)-positive E. coli strains and one tet(X4)-positive Raoultella ornithinolytica strain. Antimicrobial susceptibility tests revealed that all three tet(X4)-carrying bacteria were sensitive to the 13 tested antimicrobial agents, but exhibited resistance to tigecycline. Notably, one tet(X4)-carrying E. coli strain producing an enterotoxin had a toxic effect on G. mellonella larvae. Whole-genome sequencing analysis showed that the two tet(X4)-carrying E. coli strains had more than 95% similarity to tet(X4)-containing E. coli strains isolated from pigs and humans in China.
The genetic environment of tet(X4) closely resembled that of the plasmid described in previous studies. Our study identified tet(X4)-positive strains in wildlife and provided valuable epidemiological data for monitoring drug resistance. The identification of enterotoxin-producing E. coli strains also highlights the potential risks posed by virulence genes.

