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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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1-s2.0-S0264410X21004278-main (1).pdf | Published version | 2.31 MB | Adobe PDF | View/Open |
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 |
This item is licensed under a Creative Commons License