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Comparison of methods for predicting COVID-19-related death in the general population using the OpenSAFELY platform

Abstract:
Background Obtaining accurate estimates of the risk of COVID-19-related death in the general population is challenging in the context of changing levels of circulating infection.
Methods We propose a modelling approach to predict 28-day COVID-19-related death which explicitly accounts for COVID-19 infection prevalence using a series of sub-studies from new landmark times incorporating time-updating proxy measures of COVID-19 infection prevalence. This wa... Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1186/s41512-022-00120-2

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Role:
Author
ORCID:
0000-0001-6905-876X
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Contributors

Medical Research Council More from this funder
Publisher:
BioMed Central Publisher's website
Journal:
Diagnostic and Prognostic Research Journal website
Volume:
6
Issue:
1
Article number:
6
Publication date:
2022-02-24
Acceptance date:
2022-01-04
DOI:
EISSN:
2397-7523
Pmid:
35197114
Language:
English
Keywords:
Pubs id:
1241259
Local pid:
pubs:1241259
Deposit date:
2022-06-01

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