ArticleThe Journal of hospital infection2023
A methodology for using Lambda phages as a proxy for pathogen transmission in hospitals.
Article in The Journal of hospital infection, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Supramolecular nanofiber stabilization of microdroplets enables ultra-sensitive virus infection analysis.Nature communications · 2026Article
- Transmission pathways during high-contact care activities in nursing homes: a high-fidelity simulation study with surrogate markers.Infection control and hospital epidemiology · 2026Article
- DNA lipid nanoparticles as alcohol-sensitive surrogates to trace microbial transmission and monitor hand hygiene.Scientific reports · 2025Article
- Connecting pathogen transmission and healthcare worker cognition: a cognitive task analysis of infection prevention and control practices during simulated patient care.BMJ quality & safety · 2024Article
- Synthetic Microbial Surrogates Consisting of Lipid Nanoparticles Encapsulating DNA for the Validation of Surface Disinfection Procedures.ACS applied bio materials · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
backgroundOne major concern in hospitalized patients is acquiring infections from pathogens borne on surfaces, patients, and healthcare workers (HCWs). Fundamental to controlling healthcare-associated infections is identifying the sources of pathogens, monitoring the processes responsible for their transmission, and evaluating the efficacy of the procedures employed for restricting their transmission.
aimTo present a method using the bacteriophage Lambda (λ) to achieve these ends.
methodsDefined densities of multiple genetically marked λ phages were inoculated at known hotspots for contamination on high-fidelity mannequins. HCWs then entered a pre-sanitized simulated hospital room and performed a series of patient care tasks on the mannequins. Sampling occurred on the scrubs and hands of the HCWs, as well as previously defined high-touch surfaces in hospital rooms. Following sampling, the rooms were decontaminated using procedures demonstrated to be effective. Following the conclusion of the simulation, the samples were tested for the presence, identity, and densities of these λ phages.
findingsThe data generated enabled the determination of the sources and magnitude of contamination caused by the breakdown of established infection prevention practices by HCWs. This technique enabled the standardized tracking of multiple contaminants during a single episode of patient care. Unlike other biological surrogates, λ phages are susceptible to common hospital disinfectants, and allow for a more accurate evaluation of pathogen transmission.
conclusionWhereas our application of these methods focused on healthcare-associated infections and the role of HCW behaviours in their spread, these methods could be employed for identifying the sources and sites of microbial contamination in other settings.
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