Optimal Vaccination Strategies
| Created: | 2021-12-20 14:15 |
|---|---|
| Institution: | Isaac Newton Institute for Mathematical Sciences |
| Editors' group: | SMS Editors group for the Newton Institute |
| Description: | The huge impact of the COVID-19 pandemic across the globe has been met by heroic efforts from the entire scientific community— developing vaccines and delivering them in the most effective manner in order to minimise disease burden and reduce the reliance as much as possible on socially damaging non-pharmaceutical interventions. With quantity and deployment speed of vaccines initially limited, the question of optimal deployment strategy and who to target first, has and continues to be of great importance for policy makers across the globe.
Vaccination has been shown to reduce an individual’s susceptibility, disease severity, length of infectious period, and viral load. These effects correspond to giving direct protection such as by reducing the chance of severe illness, or indirect protection - benefiting the whole population by reducing the spread of infection. It is then not obvious whether to target the vulnerable, such as the elderly and those with health conditions who make up the majority of hospitalisations and deaths, or the younger and healthier population, who may be most responsible for spreading infection. There is also the problem of disparity between levels of vaccination achieved across the world, which throws up difficult questions regarding vaccine nationalism. From an altruistic perspective there would be significant advantages to minimising health impacts from prioritising the sharing of vaccination beyond pursuing the highest possible levels of internal infection, though even from a purely selfish standpoint reducing the amount of infection worldwide may have considerable benefits for all. This event is guided by links with the JUNIPER Consortium and is delivered by the RAMP Continuity Network, the follow on to the Royal Society’s Rapid Assistance in Modelling the Pandemic (RAMP) initiative. It brings together modelling expertise from a diverse range of disciplines to support the pandemic modelling community already working on COVID-19. |
Media items
This collection contains 9 media items.
Media items
International Vaccination: Potential Impact on Viral Evolution
23 views
C. Jessica Metcalf
Princeton University
14/12/2021
Collection: Optimal Vaccination Strategies
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 20 Dec 2021
Model Informed COVID-19 Vaccine Prioritization Strategies by Age and Serostatus
5 views
Kate Bubar
University of Colorado Boulder
14/12/2021
Collection: Optimal Vaccination Strategies
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 20 Dec 2021
Optimal Vaccination Strategies
9 views
Mark Jit, London School of Hygiene and Tropical Medicine, 14/12/2021
Collection: Optimal Vaccination Strategies
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 20 Dec 2021
Optimal Vaccine Allocation Strategies Within and Between Countries
4 views
Alexandra Hogan
Imperial College London
14/12/2021
Collection: Optimal Vaccination Strategies
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 20 Dec 2021
Optimising Vaccine Allocation for COVID-19 Shows the Potential Role of Single Dose Vaccination
3 views
Laura Matrajt
Fred Hutchinson Cancer Research Centre
14/12/2021
Collection: Optimal Vaccination Strategies
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 20 Dec 2021
Scientific Cooperation and Vaccine Distribution by China around the COVID-19 Crisis
7 views
Dr Caroline Wagner
Mac Lang
Ohio State University
14/12/2021
Collection: Optimal Vaccination Strategies
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 20 Dec 2021
Spatial Allocation of Scarce Vaccine for COVID-19
12 views
James Sanchirico
Francois Castonguay
University of California, Davis
14/12/2021
Collection: Optimal Vaccination Strategies
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 20 Dec 2021
The Potential Epidemiological and Economic Impacts of Accelerated COVID-19 Vaccination in Kenya
4 views
Dr John Ojal
Sam Brand
KEMRI-Wellcome Trust Research Programme
14/12/2021
Collection: Optimal Vaccination Strategies
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 20 Dec 2021
Welcome and Introduction
4 views
Jane Leeks, Newton Gateway to Mathematics
Ciara Dangerfield, JUNIPER Consortium
Samuel Moore, University of Warwick
14/12/2021
Collection: Optimal Vaccination Strategies
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 20 Dec 2021