image: Deterministic trajectories for the various model variants are shown, along with data (black). Models without change in infection fatality rate (IFR) are shown as dashed, models with change in IFR solid. view more
Credit: Pietzonka et al., 2021, PLOS ONE, CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
A new statistical analysis supports beliefs that COVID-19 became more lethal in the U.K. in late 2020, while also suggesting that multiple factors—not just the alpha variant of the virus that causes COVID-19—were to blame. Patrick Pietzonka of the University of Cambridge, UK, and colleagues present these findings in the open-access journal PLOS ONE on November 24, 2021.
Studying how the lethality of COVID-19 has changed over time in different regions could help guide continued efforts to address this disease. While simple, preliminary evaluations of infection and mortality data suggest that COVID-19 may have become more lethal in the UK in late 2020, more rigorous analyses have been lacking.
To explore whether COVID-19 indeed became more lethal in late 2020, Pietzonka and colleagues employed a statistical approach known as Bayesian inference. This enabled them to draw statistically stronger conclusions about lethality from weekly data on the number of cases and the number of deaths due to COVID-19 in the U.K. Specifically, they used Bayesian inference to compare predictions from different mathematical simulations of COVID-19 spread and deaths, some of which incorporated increased lethality.
This analysis suggests that, in late autumn of 2020 in the U.K., COVID-19 did indeed become more lethal—meaning that the probability that an infected person would die from the disease increased.
Prior speculations hold that this increase in lethality was driven by the alpha variant (B.1.1.7) of the SARS-CoV-2 virus, which was more infectious than previously widespread variants in the U.K. However, the new analysis suggests that lethality increased to a greater degree than the alpha variant would have accounted for, and that the increase in lethality began before the alpha variant became widespread.
These findings suggest that, while the alpha variant contributed to increased lethality in late 2020, other factors were also in play. Further research will be needed to identify those factors, but the authors suggest they may include increased strain on health care services and seasonality—a seasonal cycle in the severity of a virus that is commonly seen for other respiratory diseases like the common cold and the flu.
Journal
PLoS ONE
Method of Research
Computational simulation/modeling
Subject of Research
Not applicable
Article Title
Bayesian inference across multiple models suggests a strong increase in lethality of COVID-19 in late 2020 in the UK
Article Publication Date
24-Nov-2021
COI Statement
The authors have declared that no competing interests exist. They received funding from Microsoft Corporation, a commercial source. E.B. is employed by a commercial company, JPMorgan Chase & Co. W.B. works for JPMorgan Chase & Co, and is employed by Kubrick Group, London. None of this alters their adherence to PLOS ONE policies on sharing data and materials.