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Cited by 530

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Virus–virus interactions impact the population dynamics of influenza and the common cold

Open access
Nickbakhsh, Sema, Mair, Colette, Matthews, Louise, Reeve, Richard, Johnson, Paul C. D., Thorburn, Fiona, von Wissmann, Beatrix, Reynolds, Arlene, McMenamin, James, Gunson, Rory N., Murcia, Pablo R.·2019·Proceedings of the National Academy of Sciences

Abstract

Significance: When multiple pathogens cocirculate this can lead to competitive or cooperative forms of pathogen–pathogen interactions. It is believed that such interactions occur among cold and flu viruses, perhaps through broad-acting immunity, resulting in interlinked epidemiological patterns of infection. However, to date, quantitative evidence has been limited. We analyzed a large collection of diagnostic reports collected over multiple years for 11 respiratory viruses. Our analyses provide strong statistical support for the existence of interactions among respiratory viruses. Using computer simulations, we found that very short-lived interferences may explain why common cold infections are less frequent during flu seasons. Improved understanding of how the epidemiology of viral infections is interlinked can help improve disease forecasting and evaluation of disease control interventions.

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Metadata

Authors
Nickbakhsh, S., Mair, C., Matthews, L., Reeve, R., Johnson, P. C. D., Thorburn, F., von Wissmann, B., Reynolds, A., McMenamin, J., Gunson, R. N., & Murcia, P. R.
Venue
Proceedings of the National Academy of Sciences
Published
2019-12-16
Volume
116
Issue
52
Pages
27142-27150
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2995514760
Cited by
530
References
5
FWCI
45.21
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Virus–virus interactions impact the population dynamics of influenza and the common cold. https://app.cochat.ai/papers/10.1073/pnas.1911083116
The paper
Nickbakhsh, S., Mair, C., Matthews, L., Reeve, R., Johnson, P. C. D., Thorburn, F., von Wissmann, B., Reynolds, A., McMenamin, J., Gunson, R. N., & Murcia, P. R. (2019). Virus–virus interactions impact the population dynamics of influenza and the common cold. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1911083116

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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.