ArticleMicrobiome2017
Metagenomic characterization of ambulances across the USA.
Article in Microbiome, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 57 citations in OpenAlex.
- Recent Microbial Evolutionary Insights From Metagenomics.Genome biology and evolution · 2026Review
- Genome-resolved surveillance and predictive ecological risk modeling of urban microbiomes.Microbiome · 2025Article
- Probiotic-Based Approaches for Sustainable Control of Infectious Risk in Mass Transport: Current Data and Future Perspectives.Microbial biotechnology · 2025Review
- Enrichment of human nasopharyngeal bacteriome with bacteria from dust after short-term exposure to indoor environment: a pilot study.BMC microbiology · 2023Article
- Factors driving the halophyte rhizosphere bacterial communities in coastal salt marshes.Frontiers in microbiology · 2023Article
- Ozone Disinfection for Elimination of Bacteria and Degradation of SARS-CoV2 RNA for Medical Environments.Genes · 2022Article
- An improved workflow for accurate and robust healthcare environmental surveillance using metagenomics.Microbiome · 2022Article
- Targeted Hybridization Capture of SARS-CoV-2 and Metagenomics Enables Genetic Variant Discovery and Nasal Microbiome Insights.Microbiology spectrum · 2021Article
- Article
- Systematic evaluation of supervised machine learning for sample origin prediction using metagenomic sequencing data.Biology direct · 2020Article
- Emerging Priorities for Microbiome Research.Frontiers in microbiology · 2020Review
- The impact of an ambulance vehicle preparation service on the presence of bacteria: a service evaluation.British paramedic journal · 2019Article
- Article
- Rapid metagenomics analysis of EMS vehicles for monitoring pathogen load using nanopore DNA sequencing.PloS one · 2019Article
- One Health Relationships Between Human, Animal, and Environmental Microbiomes: A Mini-Review.Frontiers in public health · 2018Review
- Communicating the promise, risks, and ethics of large-scale, open space microbiome and metagenome research.Microbiome · 2017Article
Corrections and comments
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Authors and funding
12 authors at 9 institutions in 1 country.
Funding
Abstract
backgroundMicrobial communities in our built environments have great influence on human health and disease. A variety of built environments have been characterized using a metagenomics-based approach, including some healthcare settings. However, there has been no study to date that has used this approach in pre-hospital settings, such as ambulances, an important first point-of-contact between patients and hospitals.
resultsWe sequenced 398 samples from 137 ambulances across the USA using shotgun sequencing. We analyzed these data to explore the microbial ecology of ambulances including characterizing microbial community composition, nosocomial pathogens, patterns of diversity, presence of functional pathways and antimicrobial resistance, and potential spatial and environmental factors that may contribute to community composition. We found that the top 10 most abundant species are either common built environment microbes, microbes associated with the human microbiome (e.g., skin), or are species associated with nosocomial infections. We also found widespread evidence of antimicrobial resistance markers (hits ~ 90% samples). We identified six factors that may influence the microbial ecology of ambulances including ambulance surfaces, geographical-related factors (including region, longitude, and latitude), and weather-related factors (including temperature and precipitation).
conclusionsWhile the vast majority of microbial species classified were beneficial, we also found widespread evidence of species associated with nosocomial infections and antimicrobial resistance markers. This study indicates that metagenomics may be useful to characterize the microbial ecology of pre-hospital ambulance settings and that more rigorous testing and cleaning of ambulances may be warranted.
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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.