Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 191

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

MERS coronaviruses from camels in Africa exhibit region-dependent genetic diversity

Open access
Chu, Daniel K. W., Hui, Kenrie P. Y., Perera, Ranawaka A. P. M., Miguel, Eve, Niemeyer, Daniela, Zhao, Jincun, Channappanavar, Rudragouda, Dudas, Gytis, Oladipo, Jamiu O., Traoré, Amadou, Fassi-Fihri, Ouafaa, Ali, Abraham, Demissié, Getnet F., Muth, Doreen, Chan, Michael C. W., Nicholls, John M., Meyerholz, David K., Kuranga, Sulyman A., Mamo, Gezahegne, Zhou, Ziqi, So, Ray T. Y., Hemida, Maged G., Webby, Richard J., Roger, Francois, Rambaut, Andrew, Poon, Leo L. M., Perlman, Stanley, Drosten, Christian, Chevalier, Veronique, Peiris, Malik·2018·Proceedings of the National Academy of Sciences

Abstract

Significance: Middle East respiratory syndrome (MERS) is a zoonotic disease of global health concern, and dromedary camels are the source of human infection. Although Africa has the largest number of dromedary camels, and MERS-coronavirus (MERS-CoV) is endemic in these camels, locally acquired zoonotic MERS is not reported from Africa. However, little is known of the genetic or phenotypic characterization of MERS-CoV from Africa. In this study we characterize MERS-CoV from Burkina Faso, Nigeria, Morocco, and Ethiopia. We demonstrate viral genetic and phenotypic differences in viruses from West Africa, which may be relevant to differences in zoonotic potential, highlighting the need for studies of MERS-CoV at the animal–human interface.

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 · 10.1073/pnas.1718769115

Cites

1 of 1 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 1 references

Cited by

See all 191

Metadata

Authors
Chu, D. K. W., Hui, K. P. Y., Perera, R. A. P. M., Miguel, E., Niemeyer, D., Zhao, J., Channappanavar, R., Dudas, G., Oladipo, J. O., Traoré, A., Fassi-Fihri, O., Ali, A., Demissié, G. F., Muth, D., Chan, M. C. W., Nicholls, J. M., Meyerholz, D. K., Kuranga, S. A., Mamo, G., Zhou, Z., So, R. T. Y., Hemida, M. G., Webby, R. J., Roger, F., Rambaut, A., Poon, L. L. M., Perlman, S., Drosten, C., Chevalier, V., & Peiris, M.
Venue
Proceedings of the National Academy of Sciences
Published
2018-03-05
Volume
115
Issue
12
Pages
3144-3149
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2789368753
Cited by
191
References
1
FWCI
20.23
Type
journal article
Language
en
Open access
hybrid

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: MERS coronaviruses from camels in Africa exhibit region-dependent genetic diversity. https://app.cochat.ai/papers/10.1073/pnas.1718769115
The paper
Chu, D. K. W., Hui, K. P. Y., Perera, R. A. P. M., Miguel, E., Niemeyer, D., Zhao, J., Channappanavar, R., Dudas, G., Oladipo, J. O., Traoré, A., Fassi-Fihri, O., Ali, A., Demissié, G. F., Muth, D., Chan, M. C. W., Nicholls, J. M., Meyerholz, D. K., Kuranga, S. A., Mamo, G., . . . Peiris, M. (2018). MERS coronaviruses from camels in Africa exhibit region-dependent genetic diversity. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1718769115

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.