Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 237

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

MRSA in Africa: Filling the Global Map of Antimicrobial Resistance

Open access
Falagas, Matthew E., Karageorgopoulos, Drosos E., Leptidis, John, Korbila, Ioanna P.·2013·PLoS ONE

Abstract

We sought to assess the prevalence of methicillin-resistance among Staphylococcus aureus isolates in Africa. We included articles published in 2005 or later reporting for the prevalence of MRSA among S. aureus clinical isolates. Thirty-two studies were included. In Tunisia, the prevalence of MRSA increased from 16% to 41% between 2002-2007, while in Libya it was 31% in 2007. In South Africa, the prevalence decreased from 36% in 2006 to 24% during 2007-2011. In Botswana, the prevalence varied from 23-44% between 2000-2007. In Algeria and Egypt, the prevalence was 45% and 52% between 2003-2005, respectively. In Nigeria, the prevalence was greater in the northern than the southern part. In Ethiopia and the Ivory Coast, the prevalence was 55% and 39%, respectively. The prevalence of MRSA was lower than 50% in most of the African countries, although it appears to have risen since 2000 in many African countries, except for South Africa.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0068024

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Cited by

See all 237

Metadata

Authors
Falagas, M. E., Karageorgopoulos, D. E., Leptidis, J., & Korbila, I. P.
Venue
PLoS ONE
Published
2013-07-29
Volume
8
Issue
7
Pages
e68024
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2080712953
Cited by
237
References
2
FWCI
8.30
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: MRSA in Africa: Filling the Global Map of Antimicrobial Resistance. https://app.cochat.ai/papers/10.1371/journal.pone.0068024
The paper
Falagas, M. E., Karageorgopoulos, D. E., Leptidis, J., & Korbila, I. P. (2013). MRSA in Africa: Filling the Global Map of Antimicrobial Resistance. PLoS ONE. https://doi.org/10.1371/journal.pone.0068024

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.