Pathogens in Foods in the One Health Approach: Identification, Risk Assessment, Management and Data Sharing
A Special Issue of Foods (ISSN 2304-8158) belonging to the section "Food Microbiology".
Deadline for manuscript submissions: 15 October 2026 | Viewed by 1376
Editors
Interests: microbiolobical food safety; predictive microbiology; biopreservation; quantitative risk assessment; meta-analysis; LLM; AI; databases
Special Issues, Collections and Topics in MDPI journals
Interests: microbiolobical food safety; predictive microbiology; biopreservation; quantitative risk assessment; meta-analysis; LLM; AI; databases
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
One Health is an integrated strategy that recognises the inseparable link between human health, animal health, and the environment. In the context of food safety, this understanding is essential to address complex challenges such as zoonoses and antimicrobial resistance (AMR). Integrated surveillance throughout the food chain and advanced molecular technologies can help early pathogen identification, and at the same time, can produce multidisciplinary datasets, crucial to support the development of risk assessment models and risk prioritisation in One Health. The Special Issue (SI) “Pathogens in Foods in the One Health Approach: Identification, Risk Assessment, Management and Data Sharing” welcomes research on novel methods for integrated farm-to-fork monitorisation of hazards, early pathogen and outbreak detection, and data sharing as the most critical and challenging pillar for the operationalisation of One Health. The SI also targets risk assessment models that consider environmental factors, climate change, animal health, AMR, and/or current changes in human consumption patterns; as well as current efforts towards the implementation of preventive measures and coordinated controls across sectors; and the promotion of climate-resilient agricultural practices and responsible use of antibiotics. Contributions that explore AI and LLM as technological engines enabling One-Health to integrate multisectoral data (human, animal and environmental), translate human language, and create highly predictive surveillance systems are very welcome.
Prof. Dr. Ursula Gonzales-Barron
Prof. Dr. Vasco Cadavez
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Foods is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- farm-to-fork
- integrated surveillance
- antimicrobial resistance
- early pathogen detection
- climate change
- risk prioritisation
- data harmonisation
- AI
- LLM
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