Imperial College London
Alternate

DrPierreNouvellet

Faculty of Medicine, School of Public Health

Visiting Reader
 
 
 
//

Contact

 

p.nouvellet

 
 
//

Location

 

UG 11Norfolk PlaceSt Mary's Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Bhatia:2021:10.1101/2021.07.19.21260746,
author = {Bhatia, S and Parag, KV and Wardle, J and Imai, N and Van, Elsland SL and Lassmann, B and Cuomo-Dannenburg, G and Jauneikaite, E and Unwin, HJT and Riley, S and Ferguson, N and Donnelly, CA and Cori, A and Nouvellet, P},
doi = {10.1101/2021.07.19.21260746},
title = {Global predictions of short- to medium-term COVID-19 transmission trends : a retrospective assessment},
url = {http://dx.doi.org/10.1101/2021.07.19.21260746},
year = {2021}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>As of July 2021, more than 180,000,000 cases of COVID-19 have been reported across the world, with more than 4 million deaths. Mathematical modelling and forecasting efforts have been widely used to inform policy-making and to create situational awareness.</jats:p></jats:sec><jats:sec><jats:title>Methods and Findings</jats:title><jats:p>From 8<jats:sup>th</jats:sup> March to 29<jats:sup>th</jats:sup> November 2020, we produced weekly estimates of SARS-CoV-2 transmissibility and forecasts of deaths due to COVID-19 for countries with evidence of sustained transmission. The estimates and forecasts were based on an ensemble model comprising of three models that were calibrated using only the reported number of COVID-19 cases and deaths in each country. We also developed a novel heuristic to combine weekly estimates of transmissibility and potential changes in population immunity due to infection to produce forecasts over a 4-week horizon. We evaluated the robustness of the forecasts using relative error, coverage probability, and comparisons with null models.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>During the 39-week period covered by this study, we produced short- and medium-term forecasts for 81 countries. Both the short- and medium-term forecasts captured well the epidemic trajectory across different waves of COVID-19 infections with small relative errors over the forecast horizon. The model was well calibrated with 56.3% and 45.6% of the observations lying in the 50% Credible Interval in 1-week and 4-week ahead forecasts respectively. We could accurately characterise the overall phase of the epidemic up to 4-weeks ahead in 84.9% of country-days. The medium-term forecasts can be used in conjunction with the short-term fo
AU  - Bhatia,S
AU  - Parag,KV
AU  - Wardle,J
AU  - Imai,N
AU  - Van,Elsland SL
AU  - Lassmann,B
AU  - Cuomo-Dannenburg,G
AU  - Jauneikaite,E
AU  - Unwin,HJT
AU  - Riley,S
AU  - Ferguson,N
AU  - Donnelly,CA
AU  - Cori,A
AU  - Nouvellet,P
DO  - 10.1101/2021.07.19.21260746
PY  - 2021///
TI  - Global predictions of short- to medium-term COVID-19 transmission trends : a retrospective assessment
UR  - http://dx.doi.org/10.1101/2021.07.19.21260746
ER  -
Download