Bayesian inference across multiple models suggests a strong increase in lethality of COVID-19 in late 2020 in the UK.
Cates, Michael E
Public Library of Science (PLoS)
MetadataShow full item record
Pietzonka, P., Brorson, E., Bankes, W., Cates, M. E., Jack, R., & Adhikari, R. (2021). Bayesian inference across multiple models suggests a strong increase in lethality of COVID-19 in late 2020 in the UK.. PLoS One, 16 (11) https://doi.org/10.1371/journal.pone.0258968
We apply Bayesian inference methods to a suite of distinct compartmental models of generalised SEIR type, in which diagnosis and quarantine are included via extra compartments. We investigate the evidence for a change in lethality of COVID-19 in late autumn 2020 in the UK, using age-structured, weekly national aggregate data for cases and mortalities. Models that allow a (step-like or graded) change in infection fatality rate (IFR) have consistently higher model evidence than those without. Moreover, they all infer a close to two-fold increase in IFR. This value lies well above most previously available estimates. However, the same models consistently infer that, most probably, the increase in IFR preceded the time window during which variant B.1.1.7 (alpha) became the dominant strain in the UK. Therefore, according to our models, the caseload and mortality data do not offer unequivocal evidence for higher lethality of a new variant. We compare these results for the UK with similar models for Germany and France, which also show increases in inferred IFR during the same period, despite the even later arrival of new variants in those countries. We argue that while the new variant(s) may be one contributing cause of a large increase in IFR in the UK in autumn 2020, other factors, such as seasonality, or pressure on health services, are likely to also have contributed.
Research Article, Medicine and health sciences, People and places, Engineering and technology, Physical sciences, Earth sciences, Biology and life sciences, Computer and information sciences
European Research Council (740269)
External DOI: https://doi.org/10.1371/journal.pone.0258968
This record's URL: https://www.repository.cam.ac.uk/handle/1810/331044
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: firstname.lastname@example.org