Abstract
The effective reproduction number R was widely accepted as a key indicator during the early stages of the COVID-19 pandemic. In the UK, the R value published on the UK Government Dashboard has been generated as a combined value from an ensemble of epidemiological models via a collaborative initiative between academia and government. In this paper, we outline this collaborative modelling approach and illustrate how, by using an established combination method, a combined R estimate can be generated from an ensemble of epidemiological models. We analyse the R values calculated for the period between April 2021 and December 2021, to show that this R is robust to different model weighting methods and ensemble sizes and that using heterogeneous data sources for validation increases its robustness and reduces the biases and limitations associated with a single source of data. We discuss how R can be generated from different data sources and show that it is a good summary indicator of the current dynamics in an epidemic.
| Original language | English |
|---|---|
| Article number | e59 |
| Journal | Epidemiology and Infection |
| Volume | 152 |
| DOIs | |
| Publication status | Published - 14 Mar 2024 |
Bibliographical note
Publisher Copyright:© The Author(s), 2024.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- COVID-19
- ensemble modelling
- reproduction number R
- statistical analysis
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