Evidence map›Paper›PMID 37308817›Full record

ArticleBMC infectious diseases2023

Clonal diversity of Staphylococcus aureus isolates in clinical specimens from selected health facilities in Ethiopia.

Rajiha Abubeker Ibrahim, Zelalem Mekuria, Shu-Hua Wang, Jose R Mediavilla, Barry Kreiswirth, Eyasu T Seyoum, Solomon H Mariam, Wondwossen A Gebreyes, Tesfa Addis Kefale, Geremew Tasew Guma and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Systematic review and meta-analysis ofOne health (Amsterdam, Netherlands) · 2025
    Review
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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

11 authors at 4 institutions in 2 countries.

Rajiha Abubeker IbrahimAkililu Lemma Institute of Pathobiology, Addis Ababa University, Ababa, Ethiopia. rajihabubeker@gmail.com.
Zelalem MekuriaColleges of Veterinary Medicine, The Ohio State University, Columbus, OH, USA.
Shu-Hua WangGlobal One Health initiative (GOHi), The Ohio State University, Columbus, OH, USA.
Jose R MediavillaCenter for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ, USA.
Barry KreiswirthCenter for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ, USA.
Eyasu T SeyoumOhio State Global One Health (GOH) LLC, Addis Ababa, Ethiopia.
Solomon H MariamAkililu Lemma Institute of Pathobiology, Addis Ababa University, Ababa, Ethiopia.
Wondwossen A GebreyesColleges of Veterinary Medicine, The Ohio State University, Columbus, OH, USA.
Tesfa Addis KefaleEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Geremew Tasew GumaEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Nega BerheAkililu Lemma Institute of Pathobiology, Addis Ababa University, Ababa, Ethiopia.
Ethiopian Public Health Institute · ETThe Ohio State University · USAddis Ababa University · ETHackensack Meridian Health · US

Funding

Sustainable One Health Research Training Capacity: Molecular Epidemiology of Zoonotic Foodborne and Waterborne Pathogens in Eastern AfricaD43TW008650 · FIC · OHIO STATE UNIVERSITY · PI WONDWOSSEN A. GEBREYES, SAMUEL M KARIUKI · 2010 to 2026
$2.9M
This work was supported by Sustainable One Health Research Training Capacity (OHEART): Molecular epidemiology of zoonotic foodborne and waterborne pathogens in Eastern Africa. Funded by the NIH Fogarty International Center, through the Global One Health initiative (GOHi). (D43TW008650)
6 · The paper itself

Abstract

Staphylococcus aureus is among the top three causative agents of nosocomial infection in Ethiopia. The majority of studies in Ethiopia have focused on the epidemiology of S. aureus in hospital settings, with limited molecular genotyping results. Molecular characterization of S. aureus is essential for identification of strains, and contributes to the control and prevention of S. aureus infection. The aim of the current study was to determine the molecular epidemiology of methicillin-susceptible S. aureus (MSSA) and methicillin-resistant S. aureus (MRSA) isolates recovered from clinical specimens in Ethiopia. A total of 161 MSSA and 9 MRSA isolates were characterized using pulsed-field gel electrophoresis (PFGE) and staphylococcal protein A (spa) typing. Based on the PFGE analysis, MSSA isolates were grouped into eight pulso-types groups (from A to I), while MRSA isolates clustered into three (A, B and C) pulso-types with more than 80% similarity. The spa typing analysis showed diversity of S. aureus with 56 distinct spa types. Spa type t355 was most prevalent (56/170, 32.9%), while eleven new spa types were detected including t20038, t20039, and t20042. The identified spa types were clustered into 15 spa-clonal complexes (spa-CCs) using BURP analysis; novel/unknown spa types were further subjected to MLST analysis. The majority of isolates belonged to spa-CC 152 (62/170, 36.4%), followed by spa-CC 121 (19/170, 11.2%), and spa-CC 005 (18 /170, 10.6%). Of the nine MRSA isolates, 2 (22.2%) were spa-CC 239 with staphylococcal cassette chromosome (SCC)mec III. These findings highlight the diversity of S. aureus strains in Ethiopia, as well as the presence of potentially epidemic strains circulating in the country necessitating further characterization of S. aureus for antimicrobial resistance detection and infection prevention purposes.

Indexed as

Methicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsEthiopiaHealth FacilitiesHumansMultilocus Sequence TypingStaphylococcus aureusClinical specimenEthiopiaMolecular epidemiologyS. aureus

Identifiers

PMID37308817
PMCPMC10262481
OpenAlexW4380367878

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.