Within-country age-based prioritisation, global allocation, and public health impact of a vaccine against SARS-CoV-2: a mathematical modelling analysis
File(s)1-s2.0-S0264410X21004278-main (1).pdf (2.25 MB)
Published version
Author(s)
Type
Journal Article
Abstract
The worldwide endeavour to develop safe and effective COVID-19 vaccines has been extraordinary, and vaccination is now underway in many countries. However, the doses available in 2021 are likely to be limited. We extended a mathematical model of SARS-CoV-2 transmission across different country settings to evaluate the public health impact of potential vaccines using WHO-developed target product profiles. We identified optimal vaccine allocation strategies within- and between-countries to maximise averted deaths under constraints on dose supply. We found that the health impact of SARS-CoV-2 vaccination depends on the cumulative population-level infection incidence when vaccination begins, the duration of natural immunity, the trajectory of the epidemic prior to vaccination, and the level of healthcare available to effectively treat those with disease. Within a country we find that for a limited supply (doses for <20% of the population) the optimal strategy is to target the elderly. However, with a larger supply, if vaccination can occur while other interventions are maintained, the optimal strategy switches to targeting key transmitters to indirectly protect the vulnerable. As supply increases, vaccines that reduce or block infection have a greater impact than those that prevent disease alone due to the indirect protection provided to high-risk groups. Given a 2 billion global dose supply in 2021, we find that a strategy in which doses are allocated to countries proportional to population size is close to optimal in averting deaths and aligns with the ethical principles agreed in pandemic preparedness planning.
Date Issued
2021-05-21
Date Acceptance
2021-04-01
Citation
Vaccine, 2021, 39 (22), pp.2995-3006
ISSN
0264-410X
Publisher
Elsevier BV
Start Page
2995
End Page
3006
Journal / Book Title
Vaccine
Volume
39
Issue
22
Copyright Statement
© 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
License URL
Sponsor
Imperial College LOndon
Identifier
https://www.sciencedirect.com/science/article/pii/S0264410X21004278?via%3Dihub
Subjects
Science & Technology
Life Sciences & Biomedicine
Immunology
Medicine, Research & Experimental
Research & Experimental Medicine
SARS-CoV-2
Mathematical model
COVID-19
Vaccination model
Optimisation
INFLUENZA VACCINATION
POPULATION
COVID-19
Mathematical model
Optimisation
SARS-CoV-2
Vaccination model
Aged
COVID-19
COVID-19 Vaccines
Humans
Models, Theoretical
Public Health
SARS-CoV-2
Vaccination
Vaccines
Humans
Vaccines
Vaccination
Public Health
Models, Theoretical
Aged
COVID-19
SARS-CoV-2
COVID-19 Vaccines
06 Biological Sciences
07 Agricultural and Veterinary Sciences
11 Medical and Health Sciences
Virology
Publication Status
Published
Date Publish Online
2021-04-08