Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 246

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

The role of superspreading in Middle East respiratory syndrome coronavirus (MERS-CoV) transmission

Open access
Kucharski, A J, Althaus, C L·2015·Eurosurveillance

Abstract

As at 15 June 2015, a large transmission cluster of Middle East respiratory syndrome coronavirus (MERS-CoV) was ongoing in South Korea. To examine the potential for such events, we estimated the level of heterogeneity in MERS-CoV transmission by analysing data on cluster size distributions. We found substantial potential for superspreading; even though it is likely that R 0 < 1 overall, our analysis indicates that cluster sizes of over 150 cases are not unexpected for MERS-CoV infection.

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 · 10.2807/1560-7917.es2015.20.25.21167

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 246

Metadata

Authors
Kucharski, A. J., & Althaus, C. L.
Venue
Eurosurveillance
Published
2015-06-25
Volume
20
Issue
25
Pages
14-8
ISSN
  • 1025-496X (ISSN-L)
  • 1560-7917
OpenAlex
W1042757214
Cited by
246
References
1
FWCI
11.08
Type
journal article
Language
en
Open access
diamond

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: The role of superspreading in Middle East respiratory syndrome coronavirus (MERS-CoV) transmission. https://app.cochat.ai/papers/10.2807/1560-7917.es2015.20.25.21167
The paper
Kucharski, A. J., & Althaus, C. L. (2015). The role of superspreading in Middle East respiratory syndrome coronavirus (MERS-CoV) transmission. Eurosurveillance. https://doi.org/10.2807/1560-7917.es2015.20.25.21167

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.