Nowcasting COVID-19 Deaths in England by Age and Region
Authors
Seaman, Shaun R
Samartsidis, Pantelis
Kall, Meaghan
De Angelis, Daniela
Publication Date
2022-11-01Journal Title
Journal of the Royal Statistical Society Series C: Applied Statistics
ISSN
0035-9254
Publisher
Oxford University Press (OUP)
Language
en
Type
Article
This Version
AO
VoR
Metadata
Show full item recordCitation
Seaman, S. R., Samartsidis, P., Kall, M., & De Angelis, D. (2022). Nowcasting COVID-19 Deaths in England by Age and Region. Journal of the Royal Statistical Society Series C: Applied Statistics https://doi.org/10.1111/rssc.12576
Abstract
<jats:title>Abstract</jats:title>
<jats:p>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.</jats:p>
Keywords
ORIGINAL ARTICLE, ORIGINAL ARTICLES, epidemic monitoring, generalised Dirichlet, reporting delay, right‐truncation
Identifiers
rssc12576
External DOI: https://doi.org/10.1111/rssc.12576
This record's URL: https://www.repository.cam.ac.uk/handle/1810/338148
Rights
Licence:
http://creativecommons.org/licenses/by/4.0/
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