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Within-country age-based prioritisation, global allocation, and public health impact of a vaccine against SARS-CoV-2: a mathematical modelling analysis

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Title: Within-country age-based prioritisation, global allocation, and public health impact of a vaccine against SARS-CoV-2: a mathematical modelling analysis
Authors: Hogan, AB
Winskill, P
Watson, OJ
Walker, PGT
Whittaker, C
Baguelin, M
Brazeau, NF
Charles, GD
Gaythorpe, KAM
Hamlet, A
Knock, E
Laydon, DJ
Lees, JA
Løchen, A
Verity, R
Whittles, LK
Muhib, F
Hauck, K
Ferguson, NM
Ghani, AC
Item 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.
Issue Date: 21-May-2021
Date of Acceptance: 1-Apr-2021
URI: http://hdl.handle.net/10044/1/87484
DOI: 10.1016/j.vaccine.2021.04.002
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/).
Sponsor/Funder: Imperial College LOndon
Keywords: 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
Online Publication Date: 2021-04-08
Appears in Collections:Department of Infectious Diseases
Faculty of Medicine
Imperial College London COVID-19
School of Public Health



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