Nowcasting COVID‐19 deaths in England by age and region. Issue 5 (15th June 2022)

• Record Type: Journal Article
• Authors: Seaman, Shaun R.; Samartsidis, Pantelis; Kall, Meaghan; De Angelis, Daniela
• Is Part Of: Journal of the Royal Statistical Society. Volume 71:Issue 5(2022)
• Page Start: 1266
• Page End: 1281
• Publication Date: 2022-06-15
• Subjects: epidemic monitoring -- generalised Dirichlet -- reporting delay -- right‐truncation; Statistics -- Periodicals; 519.5
• DOI: 10.1111/rssc.12576
• Languages: English
• ISSNs: 0035-9254

Abstract

Abstract: 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.