Evolutionary Implications of the COVID-19 Vaccination Programme

Created: 2021-04-20 10:35
Institution: Isaac Newton Institute for Mathematical Sciences
Description: Background

The COVID-19 vaccine is currently being rolled out in the UK and globally, but there is a limited supply available. Therefore, countries are having to prioritise which subgroups of the population will receive the vaccine first. For example, in the UK vaccination has been targeted at the older age groups, health-care workers and those that are at greater risk of needing hospitalisation as a result of contracting COVID-19. Such a strategy is focused on reducing disease rather than transmission, since currently the impacts of the vaccine on blocking transmission are still uncertain.

At the same time, the virus is evolving with a number of new more transmissible variants, for example B117 and B1351, emerging in recent months. It is commonly accepted that the use of vaccines can result in novel selective pressure on pathogen populations, often resulting in the emergence of resistant genotypes. Therefore, it is important to consider the evolutionary implications of vaccination programmes. In particular, as more vaccine doses become available it is important to consider the optimal design of vaccination programmes to not only minimise disease or transmission, but also to minimise the risk of the emergence of COVID-19 variants that are resistant to the vaccine.

This event will be the first delivered by the Newton Gateway in its key role in the RAMP Continuity Network (a UKRI funded project) to deliver a series of meetings, workshops and virtual study groups that react to key priority areas in the UK’s response to the current pandemic. This event is guided by links with groups such as the JUNIPER consortium and the Isaac Newton Institute Infectious Dynamics of Pandemics research programme to ensure relevance to current UK policy, and will ensure engagement with the wider mathematical modelling and epidemiology communities.


Aims and Objectives

This workshop will focus on the use of quantitative modelling approaches to understand the evolutionary implications of vaccination programmes. Such approaches are key to developing optimal vaccination strategies and understanding which subgroups in society should be prioritised for vaccination against COVD-19.

The aim of these 2 afternoon sessions will be to understand the potential implications of different vaccination strategies on the evolutionary dynamics of COVID-19. A key goal of this event is to build links between epidemic modellers and the wider modelling community with interests in COVID-19, such as within-host modelling teams – including, but not limited to members of RAMP-initiated projects.
 

Media items

This collection contains 9 media items.

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Media items

Background to these Discussions

   4 views

Struchiner, C
Monday, April 19, 2021 - 15:10 to 15:20

Collection: Evolutionary Implications of the COVID-19 Vaccination Programme

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 20 Apr 2021


SARS-CoV-2 Evolution and Vaccination

   14 views

Metcalf, J
Tuesday, April 20, 2021 - 16:30 to 17:00

Collection: Evolutionary Implications of the COVID-19 Vaccination Programme

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Thu 6 May 2021


The Speed of Pathogen Adaptation to Vaccines

   9 views

Gandon , S
Monday, April 19, 2021 - 15:30 to 16:00

Collection: Evolutionary Implications of the COVID-19 Vaccination Programme

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 20 Apr 2021


Welcome and Introduction

   5 views

Abrahams, D
Cates , M
Monday, April 19, 2021 - 15:00 to 15:10

Collection: Evolutionary Implications of the COVID-19 Vaccination Programme

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 20 Apr 2021


Welcome and Introduction

   6 views

Leeks, J
Dangerfield, C
Tuesday, April 20, 2021 - 15:00 to 15:10

Collection: Evolutionary Implications of the COVID-19 Vaccination Programme

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 5 May 2021