Evidence map›Paper›PMID 36744172›Full record

ArticleNew microbes and new infections2023

Evaluation of the bacterial contamination of face masks worn by personnel in a center of COVID 19 hospitalized patients: A cross-sectional study.

Milad Yousefimashouf, Rasoul Yousefimashouf, Mohammad Sina Alikhani, Hamid Hashemi, Pezhman Karami, Zahra Rahimi, Seyed Mostafa Hosseini

Open access · goldAbstract read
In one paragraph

Article in New microbes and new infections, 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
4.1field-weighted citation impact, top 6% 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, 16 citations in OpenAlex.

  1. Article
  2. Risks and benefits of face masks in children.Frontiers in pediatrics · 2026
    Review
  3. Demonstration of a Home Laundering Method for Cloth Facepieces to Achieve Hygienic and Sustainable Reuse.New solutions : a journal of environmental and occupational health policy : NS · 2025
    Article
  4. Article
  5. Article
  6. Review
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

7 authors at 2 institutions in 1 country.

Milad YousefimashoufDepartment of Medical Laboratory Sciences, Faculty of Paramedical, Borujerd Branch, Islamic Azad University, Borujerd, Iran.
Rasoul YousefimashoufResearch Center For Molecular Medicine, Hamadan University of Medicine Sciences, Hamadan, Iran.
Mohammad Sina AlikhaniStudents Research Committee, Hamadan University of Medical Sciences, Iran.
Hamid HashemiInfectious Disease Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
Pezhman KaramiInfectious Disease Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
Zahra RahimiDepartment of Microbiology, Faculty of Medicine, Hamadan University of Medical Sciences, Iran.
Seyed Mostafa HosseiniDepartment of Microbiology, Faculty of Medicine, Hamadan University of Medical Sciences, Iran.
Hamedan University of Medical Sciences · IRIslamic Azad University Boroujerd Branch · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: During the Coronavirus Pandemic, the use of masks has increased significantly. The lack of control on hygiene protocols and the need to use PPE properly increases the spread of bacterial infection. The purpose of this study was to investigate the degree of contamination and frequency of bacterial species isolated from surgical and N95 masks used by hospital personnel. Methods: A total number of 175 masks were collected from staff working in Sina hospital (Hamadan province, Iran) during the first six months of 2022. The bacterial contamination of masks were evaluated and identified using biochemical kits. Antimicrobial susceptibility testing of the isolates were done using Kirby-Bauer methods and MIC were assessed for each isolate against different disinfectants (Sodium hypochlorite 5%, Hydrogen Peroxide 3%, Ethanol 70% and Deconex). Results: Of 175 masks, 471 bacterial isolates were detected including 9 species. The most prevalent strain were Conclusions: According to the results of this study, there was a high prevalence of

Indexed as

Antibioticsbacterial contaminationCoronavirusDisinfectantSurgical masks

Identifiers

PMID36744172
PMCPMC9883076
OpenAlexW4318321025

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.