ArticleAntibiotics (Basel, Switzerland)2022
The Role of the Environment in Dynamics of Antibiotic Resistance in Humans and Animals: A Modelling Study.
Article in Antibiotics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Mapping the landscape of mathematical models for antimicrobial resistance: a scoping review.BMC public health · 2026Article
- Modelling the role of the microbiome in antimicrobial resistance across scales.Nature microbiology · 2026Review
- Antimicrobial resistance in Enterobacteriaceae across the human-animal-environment interface at the lower catchment area of Akaki River, Ethiopia.One health outlook · 2026Article
- Nitrogen-doped carbon dot-based dual-emission ratiometric probe for smartphone-assisted ultrasensitive detection of moxifloxacin.Scientific reports · 2026Article
- Longitudinal source-sink dynamics of fecal litter and farm indoor environmental resistomes in broiler chicken and Cherry Valley ducks.Animal microbiome · 2026Article
- Acinetobacter baumannii in the Age of Antimicrobial Resistance: Clinical Impact, Therapeutic Approaches, and Vaccine Development.BioMed research international · 2026Review
- Environmental exposures associated with the gut microbiome and resistome of pregnant women and children in Northwest Ecuador.Nature communications · 2025Article
- Article
- Environmental Exposures and the Human Gut Resistome in Northwest Ecuador.medRxiv : the preprint server for health sciences · 2025Article
- Artificial intelligence in drug resistance management.3 Biotech · 2025Review
- Ecological and public health dimensions of ESBL-producingVeterinary world · 2025Review
- Regulating antimicrobial resistance in the environment: analysis of Thailand legal framework and areas for reinforcement.Science in One Health · 2025Article
- Synergizing Ecotoxicology and Microbiome Data Is Key for Developing Global Indicators of Environmental Antimicrobial Resistance.Microbial ecology · 2024Review
- The Synergy of Machine Learning and Epidemiology in Addressing Carbapenem Resistance: A Comprehensive Review.Antibiotics (Basel, Switzerland) · 2024Review
- One Health approaches to tackling antimicrobial resistance.Science in One Health · 2024Review
- Antimicrobial Resistance ofAntibiotics (Basel, Switzerland) · 2023Article
- Clinical Aspects of Bacterial Distribution and Antibiotic Resistance in the Reproductive System of Equids.Antibiotics (Basel, Switzerland) · 2023Review
- Using Machine Learning to Predict Antimicrobial Resistance-A Literature Review.Antibiotics (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Antibiotic resistance is transmitted between animals and humans either directly or indirectly, through transmission via the environment. However, little is known about the contribution of the environment to resistance epidemiology. Here, we use a mathematical model to study the effect of the environment on human resistance levels and the impact of interventions to reduce antibiotic consumption in animals. We developed a model of resistance transmission with human, animal, and environmental compartments. We compared the model outcomes under different transmission scenarios, conducted a sensitivity analysis, and investigated the impacts of curtailing antibiotic usage in animals. Human resistance levels were most sensitive to parameters associated with the human compartment (rate of loss of resistance from humans) and with the environmental compartment (rate of loss of environmental resistance and rate of environment-to-human transmission). Increasing environmental transmission could lead to increased or reduced impact of curtailing antibiotic consumption in animals on resistance in humans. We highlight that environment-human sharing of resistance can influence the epidemiology of resistant bacterial infections in humans and reduce the impact of interventions that curtail antibiotic consumption in animals. More data on resistance in the environment and frequency of human-environment transmission is crucial to understanding antibiotic resistance dynamics.
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.