ArticleFrontiers in microbiology2018
Source Attribution of Foodborne Diseases: Potentialities, Hurdles, and Future Expectations.
Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- Antimicrobial Resistance in the Food Chain: Bridging Knowledge Gaps for Effective Detection and Control.Antibiotics (Basel, Switzerland) · 2026Review
- A Review on Microbiological Source Attribution Methods of Human Salmonellosis: From Subtyping to Whole-Genome Sequencing.Foodborne pathogens and disease · 2024Review
- Source attribution of campylobacteriosis in Australia, 2017-2019.Risk analysis : an official publication of the Society for Risk Analysis · 2023Article
- Harmonization of supervised machine learning practices for efficient source attribution of Listeria monocytogenes based on genomic data.BMC genomics · 2023Article
- Utilization of Algae Extracts as Natural Antibacterial and Antioxidants for Controlling Foodborne Bacteria in Meat Products.Foods (Basel, Switzerland) · 2023Article
- Rapid geographical source attribution ofeLife · 2023Article
- Different Roles of Wild Boars and Livestock in Salmonella Transmission to Humans in Italy.EcoHealth · 2023Article
- 16S microbiome analysis of microbial communities in distribution centers handling fresh produce.Frontiers in microbiology · 2023Article
- Development and validation of a random forest algorithm for source attribution of animal and humanFrontiers in microbiology · 2023Article
- Transforming Shiga toxin-producingFrontiers in microbiology · 2023Article
- A Machine Learning Model for Food Source Attribution ofPathogens (Basel, Switzerland) · 2022Article
- Source attribution of salmonellosis by time and geography in New South Wales, Australia.BMC infectious diseases · 2022Article
- Review of major meat-borne zoonotic bacterial pathogens.Frontiers in public health · 2022Review
- Editorial: Integrating Whole Genome Sequencing Into Source Attribution and Risk Assessment of Foodborne Bacterial Pathogens.Frontiers in microbiology · 2021Article
- The Data Behind Risk Analysis of Campylobacter Jejuni and Campylobacter Coli Infections.Current topics in microbiology and immunology · 2021Review
- Mining whole genome sequence data to efficiently attribute individuals to source populations.Scientific reports · 2020Article
- Four European Salmonella Typhimurium datasets collected to develop WGS-based source attribution methods.Scientific data · 2020Article
- Source Attribution Study of SporadicFrontiers in microbiology · 2020Article
- Whole genome sequencing and metagenomics for outbreak investigation, source attribution and risk assessment of food-borne microorganisms.EFSA journal. European Food Safety Authority · 2019Article
- A Modular Bayesian Salmonella Source Attribution Model for Sparse Data.Risk analysis : an official publication of the Society for Risk Analysis · 2019Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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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.