Evidence map›Paper›PMID 37550710›Full record

ArticleAnnals of clinical microbiology and antimicrobials2023

Prevalence, antimicrobial resistance, and enterotoxin gene profiles of Staphylococcus aureus isolated from mobile phones of the food vendors in Phayao province, Thailand.

Krissana Khoothiam, Watsawan Prapasawat, Atchariya Yosboonruang, Anchalee Rawangkan, Chorpaka Phuangsri, Kitwadee Rupprom, Parinya Kraivuttinun, Wimonrat Tanomsridachchai, Orasa Suthienkul, Achiraya Siriphap

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

10 authors at 5 institutions in 1 country.

Krissana KhoothiamDivision of Microbiology, School of Medical Sciences, University of Phayao, Phayao, Thailand.
Watsawan PrapasawatDepartment of Clinic, Faculty of Veterinary Medicine, Mahanakorn University of Technology, Bangkok, Thailand.
Atchariya YosboonruangDivision of Microbiology, School of Medical Sciences, University of Phayao, Phayao, Thailand.
Anchalee RawangkanDivision of Microbiology, School of Medical Sciences, University of Phayao, Phayao, Thailand.
Chorpaka PhuangsriDivision of Microbiology, School of Medical Sciences, University of Phayao, Phayao, Thailand.
Kitwadee RuppromDepartment of Clinical Pathology, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok, Thailand.
Parinya KraivuttinunDepartment of Environmental Science, Faculty of Science and Technology, Uttaradit Rajabhat University, Uttaradit, Thailand.
Wimonrat TanomsridachchaiDepartment of Clinic, Faculty of Veterinary Medicine, Mahanakorn University of Technology, Bangkok, Thailand.
Orasa SuthienkulFaculty of Public Health, Mahidol University, Bangkok, 10400, Thailand.
Achiraya SiriphapDivision of Microbiology, School of Medical Sciences, University of Phayao, Phayao, Thailand. achiraya.si@up.ac.th.
University of Phayao · THMahanakorn University of Technology · THMahidol University · THNavamindradhiraj University · THUttaradit Rajabhat University · TH

Funding

University of Phayao 2021University of Phayao FF64-RIM038
6 · The paper itself

Abstract

backgroundMobile phones are widely used and may cause bacterial pathogens to spread among various professionals. Staphylococcus aureus from the mobile phones can contaminate the hands of food vendors and food during the cooking or packaging process. This research aimed to determine the prevalence, enterotoxin genes, and antimicrobial resistance (AMR) profiles of S. aureus contaminating the vendors' mobile phones.

methodsIn this study, 266 mobile phone samples were randomly collected from food vendors selling food on walking streets (n = 139) and in food centers (n = 127) in Phayao province. All samples were identified as S. aureus by the conventional culture method and confirmed species-specific gene by polymerase chain reaction (PCR). Then, all identified S. aureus isolates were tested for antimicrobial susceptibility by broth microdilution method and for the presence of staphylococcal enterotoxin (SE) genes by PCR.

resultsThe results showed that 12.8% of the mobile phones collected were contaminated with S. aureus. Of 49 S. aureus isolates obtained, 30 (61.2%) were positive for SE genes. The most common SE gene was sea followed by sec, seb, sem, seq, and sel. Moreover, S. aureus was most frequently resistant to penicillin, followed by chloramphenicol and tetracycline, erythromycin, clindamycin, and gentamicin. Methicillin-resistant S. aureus (MRSA), vancomycin-resistant S. aureus (VRSA), and multidrug-resistant (MDR) strains were also detected.

conclusionsThis study showed that mobile phones were an intermediate surface for the transmission of S. aureus, including MDR variants. It indicates that hand hygiene and the decontamination of mobile phones are essential to prevent cross-contamination of S. aureus in food settings.

Indexed as

Methicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsAnti-Bacterial AgentsDrug Resistance, BacterialDrug Resistance, Multiple, BacterialEnterotoxinsFood MicrobiologyHumansMicrobial Sensitivity TestsPrevalenceStaphylococcus aureusThailandAnti-Bacterial AgentsEnterotoxinsAntimicrobial resistanceFood vendorMobile phoneStaphylococcal enterotoxinStaphylococcus aureus

Identifiers

PMID37550710
PMCPMC10408101
OpenAlexW4385638570

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.