Epidemiological drivers of transmissibility and severity of SARS-CoV-2 in England
- PMID: 37460537
- PMCID: PMC10352350
- DOI: 10.1038/s41467-023-39661-5
Epidemiological drivers of transmissibility and severity of SARS-CoV-2 in England
Erratum in
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Author Correction: Epidemiological drivers of transmissibility and severity of SARS-CoV-2 in England.Nat Commun. 2023 Dec 7;14(1):8099. doi: 10.1038/s41467-023-44062-9. Nat Commun. 2023. PMID: 38062038 Free PMC article. No abstract available.
Abstract
As the SARS-CoV-2 pandemic progressed, distinct variants emerged and dominated in England. These variants, Wildtype, Alpha, Delta, and Omicron were characterized by variations in transmissibility and severity. We used a robust mathematical model and Bayesian inference framework to analyse epidemiological surveillance data from England. We quantified the impact of non-pharmaceutical interventions (NPIs), therapeutics, and vaccination on virus transmission and severity. Each successive variant had a higher intrinsic transmissibility. Omicron (BA.1) had the highest basic reproduction number at 8.3 (95% credible interval (CrI) 7.7-8.8). Varying levels of NPIs were crucial in controlling virus transmission until population immunity accumulated. Immune escape properties of Omicron decreased effective levels of immunity in the population by a third. Furthermore, in contrast to previous studies, we found Alpha had the highest basic infection fatality ratio (2.9%, 95% CrI 2.7-3.2), followed by Delta (2.2%, 95% CrI 2.0-2.4), Wildtype (1.2%, 95% CrI 1.1-1.2), and Omicron (0.7%, 95% CrI 0.6-0.8). Our findings highlight the importance of continued surveillance. Long-term strategies for monitoring and maintaining effective immunity against SARS-CoV-2 are critical to inform the role of NPIs to effectively manage future variants with potentially higher intrinsic transmissibility and severe outcomes.
© 2023. The Author(s).
Conflict of interest statement
P.P.G. has consulted for Pfizer. A.C. has received payment from Pfizer for teaching of mathematical modelling of infectious diseases. R.S. and N.I. are currently employed by the Wellcome Trust, however the Wellcome Trust had no role in the study design, data collection, data analysis, data interpretation or writing of the manuscript. K.A.M.G. has received honoraria from Wellcome Genome Campus for lectures and salary support from the Bill & Melinda Gates Foundation and Gavi, the Vaccine Alliance, through Imperial College London for work outside this study. L.K.W. has received consultancy payments from the Wellcome Trust. All other authors declare no competing interests.
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References
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- Office for National Statistics. International Comparisons of Possible Factors Affecting Excess Mortality. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/... (2022).
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- Office for National Statistics. Early Insights into the Impacts of the Coronavirus (COVID-19) Pandemic and EU Exit on Business Supply Chains in the UK. https://www.ons.gov.uk/businessindustryandtrade/internationaltrade/artic... (2022).
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