Evidence map›Paper›PMID 42316926›Full record

ArticleMicrobiologyOpen2026

Hospital-Associated Antimicrobial Resistant Bacteria on 95 Mobile Phones: An International Metagenomic "Phonome" Analysis.

Adrian Goldsworthy, Matthew Olsen, Nchafatso G Obonyo, Peter Jones, Simon McKirdy, Abiola Senok, Rashed Alghafri, Rose Ghemrawi, Reem Almheiri, Oystein Tronstad and 3 more

Abstract read
In one paragraph

Article in MicrobiologyOpen, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Adrian GoldsworthyCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.ORCID 0000-0001-7628-5725
Matthew OlsenFaculty of Health Sciences and Medicine, Bond University, Gold Coast, Queensland, Australia.ORCID 0000-0002-0974-524X
Nchafatso G ObonyoCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.ORCID 0000-0002-5040-4359
Peter JonesFaculty of Health Sciences and Medicine, Bond University, Gold Coast, Queensland, Australia.ORCID 0000-0003-2932-6971
Simon McKirdyHarry Butler Institute, Murdoch University, Murdoch, Queensland, Australia.ORCID 0000-0001-6578-5521
Abiola SenokCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE.ORCID 0000-0001-6382-198X
Rashed AlghafriInternational Centre for Forensics, Dubai Police, Dubai, UAE.ORCID 0000-0002-8321-9678
Rose GhemrawiAAU Health and Biomedical Research Center, Al Ain University, Abu Dhabi, UAE.ORCID 0000-0002-2465-0812
Reem AlmheiriInternational Centre for Forensics, Dubai Police, Dubai, UAE.
Oystein TronstadCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.ORCID 0000-0001-7751-3267
Jacky Y SuenCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.ORCID 0000-0002-0309-2524
John F FraserCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.ORCID 0000-0002-7012-2519
Lotti TajouriHarry Butler Institute, Murdoch University, Murdoch, Queensland, Australia.ORCID 0000-0002-2100-8824

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistant healthcare-associated infections present an increasing threat to public safety and the sustainability of healthcare systems around the world. Mobile phones have been highlighted as a fomite that negates hand hygiene and contributes to the dissemination of pathogenic microorganisms in healthcare settings. The objective of the current stidy was to investigate the presence of bacteria, antimicrobial resistance and virulence genes associated with high morbidity on 95 mobile phones within healthcare settings. Next-Generation Metagenomic Sequencing was undertaken and FastQ files were subsequently analyzed within COSMOSid to enable taxonomic identification. Antibiotic resistant genes, virulence genes and bacteriophages were co-located with bacteria associated with the highest global mortality. Antibiotic resistant genes were manually annotated and cross referenced with the Comprehensive Antibiotic Resistance Database (CARD) to identify gene-drug interactions. On average, mobile phones were identified to be contaminated with 3.62 of the top 10 highest mortality-causing bacteria and 2.49 ESKAPE pathogens. A total of 262 unique ARGs, 448 unique VFGs, and 314 bacteriophages were identified. Mobile phones within healthcare settings harbor pathogens alongside genes associated with increased virulence and antimicrobial resistance. Additionally, mobile phones, known to be infrequently sanitized, may increase antimicrobial resistance by providing a contaminated platform which facilitates continued horizontal genetic transfer.

Indexed as

BacteriaCell PhoneCross InfectionDrug Resistance, BacterialFomitesAnti-Bacterial AgentsBacteriophagesHigh-Throughput Nucleotide SequencingHospitalsHumansMetagenomicsVirulence FactorsAnti-Bacterial AgentsVirulence Factorsantimicrobial resistancebacteriafomiteinfectionmetagenomics

Identifiers

PMID42316926
PMCPMC13280219

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LicenceCC BY
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Registered trials

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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.