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1000 Titel
  • Early dynamics of transmission and control of COVID-19: a mathematical modelling study
1000 Autor/in
  1. Kucharski, Adam J. |
  2. Russell, Timothy W. |
  3. Diamond, Charlie |
  4. Liu, Yang |
  5. Edmunds, John |
  6. Funk, Sebastian |
  7. Eggo, Rosalind M. |
  8. Sun, Fiona |
  9. Jit, Mark |
  10. Munday, James D. |
  11. Davies, Nicholas |
  12. Gimma, Amy |
  13. van Zandvoort, Kevin |
  14. Gibbs, Hamish |
  15. Hellewell, Joel |
  16. Jarvis, Christopher I. |
  17. Clifford, Sam |
  18. Quilty, Billy J. |
  19. Bosse, Nikos I. |
  20. Abbott, Sam |
  21. Klepac, Petra |
  22. Flasche, Stefan |
1000 Mitwirkende/r
  1. Centre for Mathematical Modelling of Infectious Diseases COVID-19 working group |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-03-11
1000 Erschienen in
1000 Quellenangabe
  • In Press
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/S1473-3099(20)30144-4 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7158569 |
1000 Ergänzendes Material
  • https://www.sciencedirect.com/science/article/pii/S1473309920301444#sec1 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: An outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to 95 333 confirmed cases as of March 5, 2020. Understanding the early transmission dynamics of the infection and evaluating the effectiveness of control measures is crucial for assessing the potential for sustained transmission to occur in new areas. Combining a mathematical model of severe SARS-CoV-2 transmission with four datasets from within and outside Wuhan, we estimated how transmission in Wuhan varied between December, 2019, and February, 2020. We used these estimates to assess the potential for sustained human-to-human transmission to occur in locations outside Wuhan if cases were introduced. METHODS: We combined a stochastic transmission model with data on cases of coronavirus disease 2019 (COVID-19) in Wuhan and international cases that originated in Wuhan to estimate how transmission had varied over time during January, 2020, and February, 2020. Based on these estimates, we then calculated the probability that newly introduced cases might generate outbreaks in other areas. To estimate the early dynamics of transmission in Wuhan, we fitted a stochastic transmission dynamic model to multiple publicly available datasets on cases in Wuhan and internationally exported cases from Wuhan. The four datasets we fitted to were: daily number of new internationally exported cases (or lack thereof), by date of onset, as of Jan 26, 2020; daily number of new cases in Wuhan with no market exposure, by date of onset, between Dec 1, 2019, and Jan 1, 2020; daily number of new cases in China, by date of onset, between Dec 29, 2019, and Jan 23, 2020; and proportion of infected passengers on evacuation flights between Jan 29, 2020, and Feb 4, 2020. We used an additional two datasets for comparison with model outputs: daily number of new exported cases from Wuhan (or lack thereof) in countries with high connectivity to Wuhan (ie, top 20 most at-risk countries), by date of confirmation, as of Feb 10, 2020; and data on new confirmed cases reported in Wuhan between Jan 16, 2020, and Feb 11, 2020. FINDINGS: We estimated that the median daily reproduction number (Rt) in Wuhan declined from 2·35 (95% CI 1·15–4·77) 1 week before travel restrictions were introduced on Jan 23, 2020, to 1·05 (0·41–2·39) 1 week after. Based on our estimates of Rt, assuming SARS-like variation, we calculated that in locations with similar transmission potential to Wuhan in early January, once there are at least four independently introduced cases, there is a more than 50% chance the infection will establish within that population. INTERPRETATION: Our results show that COVID-19 transmission probably declined in Wuhan during late January, 2020, coinciding with the introduction of travel control measures. As more cases arrive in international locations with similar transmission potential to Wuhan before these control measures, it is likely many chains of transmission will fail to establish initially, but might lead to new outbreaks eventually.
1000 Sacherschließung
gnd 1206347392 COVID-19
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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1000 Label
1000 Förderer
  1. Wellcome |
  2. Health Data Research UK |
  3. Bill and Melinda Gates Foundation |
  4. National Institute for Health Research |
1000 Fördernummer
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1000 Förderprogramm
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1000 Dateien
1000 Förderung
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    1000 Förderer Wellcome |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Health Data Research UK |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Bill and Melinda Gates Foundation |
    1000 Förderprogramm -
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer National Institute for Health Research |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6420058.rdf
1000 Erstellt am 2020-04-14T16:24:32.144+0200
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