Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 346

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Aerosol transmission is an important mode of influenza A virus spread

Open access
Cowling, Benjamin J., Ip, Dennis K. M., Fang, Vicky J., Suntarattiwong, Piyarat, Olsen, Sonja J., Levy, Jens, Uyeki, Timothy M., Leung, Gabriel M., Malik Peiris, J. S., Chotpitayasunondh, Tawee, Nishiura, Hiroshi, Mark Simmerman, James·2013·Nature Communications

Abstract

Influenza A viruses are believed to spread between humans through contact, large respiratory droplets and small particle droplet nuclei (aerosols), but the relative importance of each of these modes of transmission is unclear. Volunteer studies suggest that infections via aerosol transmission may have a higher risk of febrile illness. Here we apply a mathematical model to data from randomized controlled trials of hand hygiene and surgical face masks in Hong Kong and Bangkok households. In these particular environments, inferences on the relative importance of modes of transmission are facilitated by information on the timing of secondary infections and apparent differences in clinical presentation of secondary infections resulting from aerosol transmission. We find that aerosol transmission accounts for approximately half of all transmission events. This implies that measures to reduce transmission by contact or large droplets may not be sufficient to control influenza A virus transmission in households. Influenza A viruses spread through contact, large and small respiratory droplets (aerosols), but the relative importance of these modes of transmission is unclear. Cowling et al. model data from community trials of face masks and hand hygiene and find that aerosol transmission accounts for half of influenza occurrences.

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 · 10.1038/ncomms2922

Cites

6 of 6 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

Cited by

See all 346

Metadata

Authors
Cowling, B. J., Ip, D. K. M., Fang, V. J., Suntarattiwong, P., Olsen, S. J., Levy, J., Uyeki, T. M., Leung, G. M., Malik Peiris, J. S., Chotpitayasunondh, T., Nishiura, H., & Mark Simmerman, J.
Venue
Nature Communications
Published
2013-06-04
Volume
4
Issue
1
Pages
1935-1935
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2005006106
Cited by
346
References
6
FWCI
9.30
Type
journal article
Language
en
Open access
green

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

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.