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Nowcasting COVID‐19 deaths in England by age and region

Understanding the trajectory of the daily number of COVID‐19 deaths is essential to decisions on how to respond to the pandemic, but estimating this trajectory is complicated by the delay between deaths occurring and being reported. In England the delay is typically several days, but it can be weeks...

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Autores principales: Seaman, Shaun R., Samartsidis, Pantelis, Kall, Meaghan, De Angelis, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349735/
https://www.ncbi.nlm.nih.gov/pubmed/35942006
http://dx.doi.org/10.1111/rssc.12576
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author Seaman, Shaun R.
Samartsidis, Pantelis
Kall, Meaghan
De Angelis, Daniela
author_facet Seaman, Shaun R.
Samartsidis, Pantelis
Kall, Meaghan
De Angelis, Daniela
author_sort Seaman, Shaun R.
collection PubMed
description Understanding the trajectory of the daily number of COVID‐19 deaths is essential to decisions on how to respond to the pandemic, but estimating this trajectory is complicated by the delay between deaths occurring and being reported. In England the delay is typically several days, but it can be weeks. This causes considerable uncertainty about how many deaths occurred in recent days. Here we estimate the deaths per day in five age strata within seven English regions, using a Bayesian model that accounts for reporting‐day effects and longer‐term changes in the delay distribution. We show how the model can be computationally efficiently fitted when the delay distribution is the same in multiple strata, for example, over a wide range of ages.
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spelling pubmed-93497352022-08-04 Nowcasting COVID‐19 deaths in England by age and region Seaman, Shaun R. Samartsidis, Pantelis Kall, Meaghan De Angelis, Daniela J R Stat Soc Ser C Appl Stat Original Articles Understanding the trajectory of the daily number of COVID‐19 deaths is essential to decisions on how to respond to the pandemic, but estimating this trajectory is complicated by the delay between deaths occurring and being reported. In England the delay is typically several days, but it can be weeks. This causes considerable uncertainty about how many deaths occurred in recent days. Here we estimate the deaths per day in five age strata within seven English regions, using a Bayesian model that accounts for reporting‐day effects and longer‐term changes in the delay distribution. We show how the model can be computationally efficiently fitted when the delay distribution is the same in multiple strata, for example, over a wide range of ages. John Wiley and Sons Inc. 2022-06-15 /pmc/articles/PMC9349735/ /pubmed/35942006 http://dx.doi.org/10.1111/rssc.12576 Text en © 2022 The Authors. Journal of the Royal Statistical Society: Series C (Applied Statistics) published by John Wiley & Sons Ltd on behalf of Royal Statistical Society. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Seaman, Shaun R.
Samartsidis, Pantelis
Kall, Meaghan
De Angelis, Daniela
Nowcasting COVID‐19 deaths in England by age and region
title Nowcasting COVID‐19 deaths in England by age and region
title_full Nowcasting COVID‐19 deaths in England by age and region
title_fullStr Nowcasting COVID‐19 deaths in England by age and region
title_full_unstemmed Nowcasting COVID‐19 deaths in England by age and region
title_short Nowcasting COVID‐19 deaths in England by age and region
title_sort nowcasting covid‐19 deaths in england by age and region
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349735/
https://www.ncbi.nlm.nih.gov/pubmed/35942006
http://dx.doi.org/10.1111/rssc.12576
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