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Cited by 1,759

The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.

Age-dependent effects in the transmission and control of COVID-19 epidemics

Open access
Davies, Nicholas G., Klepac, Petra, Liu, Yang, Prem, Kiesha, Jit, Mark, CMMID COVID-19 working group, Pearson, Carl A. B., Quilty, Billy J., Kucharski, Adam J., Gibbs, Hamish, Clifford, Samuel, Gimma, Amy, van Zandvoort, Kevin, Munday, James D., Diamond, Charlie, Edmunds, W. John, Houben, Rein M. G. J., Hellewell, Joel, Russell, Timothy W., Abbott, Sam, Funk, Sebastian, Bosse, Nikos I., Sun, Yueqian Fiona, Flasche, Stefan, Rosello, Alicia, Jarvis, Christopher I., Eggo, Rosalind M.·2020·Nature Medicine

Published version of a preprint

Abstract

The COVID-19 pandemic has shown a markedly low proportion of cases among children. Age disparities in observed cases could be explained by children having lower susceptibility to infection, lower propensity to show clinical symptoms, or both. We evaluate these possibilities by fitting an age-structured mathematical model to epidemic data from six countries. We estimate that clinical symptoms occur in 25% (95% CrI: 19-32%) of infections in 10-19-year-olds, rising to 76% (68-82%) in over-70s, and that susceptibility to infection in under-20s is approximately half that of older adults. Accordingly, we find that interventions aimed at children may have a relatively small impact on total cases, particularly if the transmissibility of subclinical infections is low. The age-specific clinical fraction and susceptibility we have estimated has implications for the expected global burden of COVID-19 because of demographic differences across settings: in younger populations, the expected clinical attack rate would be lower, although it is likely that comorbidities in low-income countries will affect disease severity. Without effective control measures, regions with older populations may see disproportionally more clinical cases, particularly in the later stages of the pandemic.

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Show all 57 references

Research works printed but not linked: 8

  1. Riccardo, F. et al. Epidemiological characteristics of COVID-19 cases in Italy and estimates of the reproductive numbers one month into the epidemic. Preprint at http://medrxiv.org/lookup/doi/10.1101/2020.04.08.20056861 (2020). · doi:10.1101/2020.04.08.20056861
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  6. Liu, Y. et al. Active or latent tuberculosis increases susceptibility to COVID-19 and disease severity. Preprint at http://medrxiv.org/lookup/doi/10.1101/2020.03.10.20033795 (2020). · doi:10.1101/2020.03.10.20033795
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Metadata

Authors
Davies, N. G., Klepac, P., Liu, Y., Prem, K., Jit, M., CMMID COVID-19 working group, Pearson, C. A. B., Quilty, B. J., Kucharski, A. J., Gibbs, H., Clifford, S., Gimma, A., van Zandvoort, K., Munday, J. D., Diamond, C., Edmunds, W. J., Houben, R. M. G. J., Hellewell, J., Russell, T. W., Abbott, S., Funk, S., Bosse, N. I., Sun, Y. F., Flasche, S., Rosello, A., Jarvis, C. I., & Eggo, R. M.
Venue
Nature Medicine
Published
2020-06-16
Volume
26
Issue
8
Pages
1205-1211
ISSN
  • 1078-8956 (ISSN-L)
  • 1546-170X
OpenAlex
W3034304416
Cited by
1,759
References
57
FWCI
57.30
Type
journal article
Language
en
Open access
hybrid
Licence

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Davies, N. G., Klepac, P., Liu, Y., Prem, K., Jit, M., CMMID COVID-19 working group, Pearson, C. A. B., Quilty, B. J., Kucharski, A. J., Gibbs, H., Clifford, S., Gimma, A., van Zandvoort, K., Munday, J. D., Diamond, C., Edmunds, W. J., Houben, R. M. G. J., Hellewell, J., Russell, T. W., . . . Eggo, R. M. (2020). Age-dependent effects in the transmission and control of COVID-19 epidemics. Nature Medicine. https://doi.org/10.1038/s41591-020-0962-9

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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.