ArticleFrontiers in public health2023
IRIDA-ARIES Genomics, a key player in the One Health surveillance of diseases caused by infectious agents in Italy.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- STEC in the natural environment of Uruguay: genomic surveillance and environmental circulation in the framework of One Health.Microbiology spectrum · 2026Article
- The European Union One Health 2024 Zoonoses Report.EFSA journal. European Food Safety Authority · 2025Article
- Isolation and Characterization Through Whole-Genome Sequencing of STEC Strains from Free-Ranging Red Deer.Veterinary sciences · 2025Article
- Developing a one health data integration framework focused on real-time pathogen surveillance and applied genomic epidemiology.One health outlook · 2025Article
- Editorial: Interactions at the viral-host nexus in animals: from omics insights to immune modulation.Frontiers in cellular and infection microbiology · 2025Article
- Current Uses and Future Perspectives of Genomic Technologies in Clinical Microbiology.Antibiotics (Basel, Switzerland) · 2023Review
- Genomic Surveillance of Foodborne Pathogens: Advances and Obstacles.Journal of public health management and practice : JPHMPArticle
Corrections and comments
- Erratum issued
Authors and funding
14 authors.
Funding
Abstract
Pathogen genomics is transforming surveillance of infectious diseases, deepening our understanding of evolution and diffusion of etiological agents, host-pathogen interactions and antimicrobial resistance. This discipline is playing an important role in the development of One Health Surveillance with public health experts of various disciplines integrating methods applied to pathogen research, monitoring, management and prevention of outbreaks. Especially with the notion that foodborne diseases may not be transmitted by food only, the ARIES Genomics project aimed to deliver an Information System for the collection of genomic and epidemiological data to enable genomics-based surveillance of infectious epidemics, foodborne outbreaks and diseases at the animal-human interface. Keeping in mind that the users of the system comprised persons with expertise in a wide variety of domains, the system was expected to be used with a low learning curve directly by the persons target of the analyses' results, keeping the information exchange chains as short as possible. As a result, the IRIDA-ARIES platform (https://irida.iss.it/) provides an intuitive web-based interface for multisectoral data collection and bioinformatic analyses. In practice, the user creates a sample and uploads the Next-generation sequencing reads, then an analysis pipeline is launched automatically performing a series of typing and clustering operations fueling the information flow. Instances of IRIDA-ARIES host the Italian national surveillance system for infections by
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.