ReviewFEMS microbiology letters2017
Escherichia coli, cattle and the propagation of disease.
Review in FEMS microbiology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed.
- Prevalence of extended-spectrum β-lactamase and carbapenemase-producing Escherichia coli from patients, cattle, and environmental sources in northwest Amhara, Ethiopia: a one health approach.BMC microbiology · 2026Article
- Large-scale genomic analysis reveals the distribution and diversity of type VI secretion systems inmSystems · 2025Article
- Prevalence and Risk Factors for the Contamination of Cattle Carcasses With Shiga Toxin-Producing Escherichia coli in Provincially Licensed Abattoirs in Ontario, Canada, Based on Molecular Surveillance.Zoonoses and public health · 2025Article
- Are SNPs Linked to Somatic Cell Score Suitable Markers for the Susceptibility to Specific Mastitis Pathogens in Holstein Cows?Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025Article
- Determination of Minimum Inhibitory Concentrations of Selected Antibiotics AgainstPathogens (Basel, Switzerland) · 2025Article
- Putative new combination vaccine candidates identified by reverse vaccinology and genomic approaches to control enteric pathogens.BMC immunology · 2024Article
- Anaerobic flora, Selenomonas ruminis sp. nov., and the bacteriocinogenic Ligilactobacillus salivarius strain MP3 from crossbred-lactating goats.Scientific reports · 2024Article
- Knowledge, attitudes and biosecurity practices among the small-scale dairy farmers in Sylhet district, Bangladesh.Veterinary medicine and science · 2023Article
- Multilayer networks of plasmid genetic similarity reveal potential pathways of gene transmission.The ISME journal · 2023Article
- Antimicrobial Susceptibility Profile of Pathogenic and Commensal Bacteria Recovered from Cattle and Goat Farms.Antibiotics (Basel, Switzerland) · 2023Article
- Cell membrane-coated nanoparticles: An emerging antibacterial platform for pathogens of food animals.Frontiers in veterinary science · 2023Review
- Adaptive sampling during sequencing reveals the origins of the bovine reproductive tract microbiome across reproductive stages and sexes.Scientific reports · 2022Article
- Antimicrobial Susceptibility and Molecular Characterization ofMicroorganisms · 2022Article
- Genomewide transcriptional response of Escherichia coli O157:H7 to norepinephrine.BMC genomics · 2022Article
- Evolution of pathogen tolerance and emerging infections: A missing experimental paradigm.eLife · 2021Review
- An Engineered Reporter Phage for the Fluorometric Detection ofMicroorganisms · 2021Article
- Farm animal contact is associated with progression to Hemolytic uremic syndrome in patients with Shiga toxin-producingOne health (Amsterdam, Netherlands) · 2020Article
- Assessing the Food Safety Risk Posed by Birds Entering Leafy Greens Fields in the US Southwest.International journal of environmental research and public health · 2020Article
- Isolation and characterization ofVeterinary world · 2020Article
- Infection Dynamics ofPathogens (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Several early models describing host-pathogen interaction have assumed that each individual host has approximately the same likelihood of becoming infected or of infecting others. More recently, a concept that has been increasingly emphasized in many studies is that for many infectious diseases, transmission is not homogeneous but highly skewed at the level of populations. In what became known as the '20/80 rule', about 20% of the hosts in a population were found to contribute to about 80% of the transmission potential. These heterogeneities have been described for the interaction between many microorganisms and their human or animal hosts. Several epidemiological studies have reported transmission heterogeneities for Escherichia coli by cattle, a phenomenon with far-reaching agricultural, medical and public health implications. Focusing on E. coli as a case study, this paper will describe super-spreading and super-shedding by cattle, review the main factors that shape these transmission heterogeneities and examine the interface with human health. Escherichia coli super-shedding and super-spreading by cattle are shaped by microorganism-specific, cattle-specific and environmental factors. Understanding the factors that shape heterogeneities in E. coli dispersion by cattle and the implications for human health represent key components that are critical for targeted infection control initiatives.
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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.