Imperial College London
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DrAnneCori

Faculty of Medicine, School of Public Health

Senior Lecturer in Infectious Disease Modelling
 
 
 
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Contact

 

+44 (0)20 7594 3229a.cori

 
 
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Location

 

404School of Public HealthWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Bhatia:2021:10.1101/2021.11.26.21266899,
author = {Bhatia, S and Wardle, J and Nash, RK and Nouvellet, P and Cori, A},
doi = {10.1101/2021.11.26.21266899},
title = {A generic method and software to estimate the transmission advantage of pathogen variants in real-time : SARS-CoV-2 as a case-study},
url = {http://dx.doi.org/10.1101/2021.11.26.21266899},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:title>Abstract</jats:title><jats:p>Recent months have demonstrated that emerging variants may set back the global COVID-19 response. The ability to rapidly assess the threat of new variants in real-time is critical for timely optimisation of control strategies.</jats:p><jats:p>We extend the EpiEstim R package, designed to estimate the time-varying reproduction number (<jats:italic>R</jats:italic><jats:sub><jats:italic>t</jats:italic></jats:sub>), to estimate in real-time the effective transmission advantage of a new variant compared to a reference variant. Our method can combine information across multiple locations and over time and was validated using an extensive simulation study, designed to mimic a variety of real-time epidemic contexts.</jats:p><jats:p>We estimate that the SARS-CoV-2 Alpha variant is 1.46 (95% Credible Interval 1.44-1.47) and 1.29, (95% CrI 1.29-1.30) times more transmissible than the wild type, using data from England and France respectively. We further estimate that Beta and Gamma combined are 1.25 (95% CrI 1.24-1.27) times more transmissible than the wildtype (France data). All results are in line with previous estimates from literature, but could have been obtained earlier and more easily with our off-the-shelf open-source tool.</jats:p><jats:p>Our tool can be used as an important first step towards quantifying the threat of new variants in real-time. Given the popularity of EpiEstim, this extension will likely be used widely to monitor the co-circulation and/or emergence of multiple variants of infectious pathogens.</jats:p><jats:sec><jats:title>Significance Statement</jats:title><jats:p>Early assessment of the transmissibility of new variants of an infectious pathogen is critical for anticipating their impact and designing appropriate interventions. However, this often requires complex and bespoke analyses relying
AU  - Bhatia,S
AU  - Wardle,J
AU  - Nash,RK
AU  - Nouvellet,P
AU  - Cori,A
DO  - 10.1101/2021.11.26.21266899
PY  - 2021///
TI  - A generic method and software to estimate the transmission advantage of pathogen variants in real-time : SARS-CoV-2 as a case-study
UR  - http://dx.doi.org/10.1101/2021.11.26.21266899
ER  -
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