Evidence map›Paper›PMID 31119112›Full record

ArticleGerms2019

Antibiotic susceptibility of bacterial pathogens recovered from the hand and mobile phones of university students.

Waleed Al Momani, Moawiah Khatatbeh, Zaid Altaany

Abstract read
In one paragraph

Article in Germs, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  7. Multidrug-Resistant Bacteria on the Mobile Phones and Computer Keyboards of Healthcare University Students in Ghana.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2021
    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

3 authors at 1 institution in 1 country.

Waleed Al MomaniBSc PhD, Department of Basic Medical Sciences, Faculty of Medicine, Yarmouk University, P.O Box 566, 21163, Irbid, Jordan.
Moawiah KhatatbehBSc, MSc PhD, Department of Basic Medical Sciences, Faculty of Medicine, Yarmouk University, P.O Box 566, 21163, Irbid, Jordan.
Zaid AltaanyBSc, MSc PhD Department of Basic Medical Sciences, Faculty of Medicine, Yarmouk University, P.O Box 566, 21163, Irbid, Jordan.
Yarmouk University · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study aimed to isolate bacterial pathogens from the dominant hand and mobile phones and to determine their antibiotic susceptibility profiles. The dominant hand and mobile surfaces were swabbed to detect the transmission of bacterial pathogens among university students.

methodsTwo hundred and twenty hand and mobile phone swabs were collected from the students of four different colleges in a Jordanian university between October and December 2017. The swabs were collected and transported to the Microbiology laboratory within one hour. At the lab, swabs were inoculated on nutrient agar, MacConkey agar, blood agar and mannitol salt agar. The subsequent bacterial isolates were identified by their cultural, morphological and biochemical characteristics.

resultsEight bacterial species were isolated and identified in the current study, namely

conclusionsPathogenic bacteria were detected with multiple antibiotic resistance indexes. Hands and mobile phones can act as carriers for infectious agents, suggesting the need for proper hand hygiene and disinfecting mobile phones surfaces.

Indexed as

antibiogram.bacterial pathogensHand hygienemobile phonestudents

Identifiers

PMID31119112
PMCPMC6446487
OpenAlexW2938581451

What OpenQuestion holds

Textmetadata
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.