COVID-19 Actuaries Response Group

Tracking the Mutation Potential of SARS-CoV-2

Bulletin 70 | Dan Ryan

Mutation is key to evolution in a competitive environment, and this holds for the SARS-CoV2 virus just as it has done for our ancestors. Coronaviruses, unlike other RNA viruses, have a ‘proofreading mechanism’ to reduce errors during replication, and hence exhibit a lower rate of mutation. Data analysis so far shows mutations at around half the rate that we see for influenza. On the other hand, the prevalent strain of the coronavirus ‘today’ is a mutated form of what was the prevailing strain at the start of the year, so this is not a theoretical or laboratory concern.

The dynamics of natural selection for the coronavirus may alter with the advent of mass vaccination (hopefully next year), and new mutations may prove to have a selective advantage. The vaccines currently under testing target the distinctive ‘spike’ protein of the virus. Thus any further mutations affecting this spike protein could reduce the effectiveness of a vaccine.

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Dan Ryan

Chief Science Officer - COIOS Research

Dan is an epidemiologist and digital demographer with 25 years experience in the insurance industry.

He led global multi-disciplinary research teams at Swiss Re and Willis Towers Watson in diverse areas including forward-looking risk models, behavioural science and the rapid development of digital ecosystems that will transform how insurance is distributed and how risk is assessed, managed and mitigated.

Dan is an internationally recognised expert on demographic trends, emerging insurance risks and digital innovation. He pioneered the concept of disease-based models of mortality using electronic health records and was a key contributor to the development of the Pandemic Emergency Facility with the Institute of Medicine, WHO and World Bank.

Dan has an MA in Medical Sciences from Cambridge University and an MBA from Heriot-Watt University. He is currently engaged in a DHealth at the University of Bath that is examining the role of medication adherence in improving the management of hypertension in stroke.

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