Statistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventions

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Statistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventions. / Panovska-Griffiths, J.; Swallow, B.; Hinch, R.; Cohen, J.; Rosenfeld, K.; Stuart, R. M.; Ferretti, L.; Di Lauro, F.; Wymant, C.; Izzo, A.; Waites, W.; Viner, R.; Bonell, C.; Fraser, C.; Klein, D.; Kerr, C. C.

In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 380, No. 2233, 20210315, 2022.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Panovska-Griffiths, J, Swallow, B, Hinch, R, Cohen, J, Rosenfeld, K, Stuart, RM, Ferretti, L, Di Lauro, F, Wymant, C, Izzo, A, Waites, W, Viner, R, Bonell, C, Fraser, C, Klein, D & Kerr, CC 2022, 'Statistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventions', Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 380, no. 2233, 20210315. https://doi.org/10.1098/rsta.2021.0315

APA

Panovska-Griffiths, J., Swallow, B., Hinch, R., Cohen, J., Rosenfeld, K., Stuart, R. M., Ferretti, L., Di Lauro, F., Wymant, C., Izzo, A., Waites, W., Viner, R., Bonell, C., Fraser, C., Klein, D., & Kerr, C. C. (2022). Statistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventions. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2233), [20210315]. https://doi.org/10.1098/rsta.2021.0315

Vancouver

Panovska-Griffiths J, Swallow B, Hinch R, Cohen J, Rosenfeld K, Stuart RM et al. Statistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventions. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2022;380(2233). 20210315. https://doi.org/10.1098/rsta.2021.0315

Author

Panovska-Griffiths, J. ; Swallow, B. ; Hinch, R. ; Cohen, J. ; Rosenfeld, K. ; Stuart, R. M. ; Ferretti, L. ; Di Lauro, F. ; Wymant, C. ; Izzo, A. ; Waites, W. ; Viner, R. ; Bonell, C. ; Fraser, C. ; Klein, D. ; Kerr, C. C. / Statistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventions. In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2022 ; Vol. 380, No. 2233.

Bibtex

@article{9dbb6da880cc413196d617e9d3446143,
title = "Statistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventions",
abstract = "The English SARS-CoV-2 epidemic has been affected by the emergence of new viral variants such as B.1.177, Alpha and Delta, and changing restrictions. We used statistical models and the agent-based model Covasim, in June 2021, to estimate B.1.177 to be 20% more transmissible than the wild type, Alpha to be 50-80% more transmissible than B.1.177 and Delta to be 65-90% more transmissible than Alpha. Using these estimates in Covasim (calibrated 1 September 2020 to 20 June 2021), in June 2021, we found that due to the high transmissibility of Delta, resurgence in infections driven by the Delta variant would not be prevented, but would be strongly reduced by delaying the relaxation of restrictions by one month and with continued vaccination. This article is part of the theme issue 'Technical challenges of modelling real-life epidemics and examples of overcoming these'. ",
keywords = "agent-based modelling, COVID-19, multivariate regression modelling",
author = "J. Panovska-Griffiths and B. Swallow and R. Hinch and J. Cohen and K. Rosenfeld and Stuart, {R. M.} and L. Ferretti and {Di Lauro}, F. and C. Wymant and A. Izzo and W. Waites and R. Viner and C. Bonell and C. Fraser and D. Klein and Kerr, {C. C.}",
note = "Publisher Copyright: {\textcopyright} 2022 The Authors.",
year = "2022",
doi = "10.1098/rsta.2021.0315",
language = "English",
volume = "380",
journal = "Philosophical transactions. Series A, Mathematical, physical, and engineering sciences",
issn = "1364-503X",
publisher = "Royal Society Publishing",
number = "2233",

}

RIS

TY - JOUR

T1 - Statistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventions

AU - Panovska-Griffiths, J.

AU - Swallow, B.

AU - Hinch, R.

AU - Cohen, J.

AU - Rosenfeld, K.

AU - Stuart, R. M.

AU - Ferretti, L.

AU - Di Lauro, F.

AU - Wymant, C.

AU - Izzo, A.

AU - Waites, W.

AU - Viner, R.

AU - Bonell, C.

AU - Fraser, C.

AU - Klein, D.

AU - Kerr, C. C.

N1 - Publisher Copyright: © 2022 The Authors.

PY - 2022

Y1 - 2022

N2 - The English SARS-CoV-2 epidemic has been affected by the emergence of new viral variants such as B.1.177, Alpha and Delta, and changing restrictions. We used statistical models and the agent-based model Covasim, in June 2021, to estimate B.1.177 to be 20% more transmissible than the wild type, Alpha to be 50-80% more transmissible than B.1.177 and Delta to be 65-90% more transmissible than Alpha. Using these estimates in Covasim (calibrated 1 September 2020 to 20 June 2021), in June 2021, we found that due to the high transmissibility of Delta, resurgence in infections driven by the Delta variant would not be prevented, but would be strongly reduced by delaying the relaxation of restrictions by one month and with continued vaccination. This article is part of the theme issue 'Technical challenges of modelling real-life epidemics and examples of overcoming these'.

AB - The English SARS-CoV-2 epidemic has been affected by the emergence of new viral variants such as B.1.177, Alpha and Delta, and changing restrictions. We used statistical models and the agent-based model Covasim, in June 2021, to estimate B.1.177 to be 20% more transmissible than the wild type, Alpha to be 50-80% more transmissible than B.1.177 and Delta to be 65-90% more transmissible than Alpha. Using these estimates in Covasim (calibrated 1 September 2020 to 20 June 2021), in June 2021, we found that due to the high transmissibility of Delta, resurgence in infections driven by the Delta variant would not be prevented, but would be strongly reduced by delaying the relaxation of restrictions by one month and with continued vaccination. This article is part of the theme issue 'Technical challenges of modelling real-life epidemics and examples of overcoming these'.

KW - agent-based modelling

KW - COVID-19

KW - multivariate regression modelling

U2 - 10.1098/rsta.2021.0315

DO - 10.1098/rsta.2021.0315

M3 - Journal article

C2 - 35965458

AN - SCOPUS:85134371098

VL - 380

JO - Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

JF - Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

SN - 1364-503X

IS - 2233

M1 - 20210315

ER -

ID: 343301625