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Modelling optimal vaccination strategy for SARS-CoV-2 in the UK
- Source :
- PLoS Computational Biology, Vol 17, Iss 5, p e1008849 (2021), PLoS Computational Biology
- Publication Year :
- 2021
- Publisher :
- Public Library of Science (PLoS), 2021.
-
Abstract
- The COVID-19 outbreak has highlighted our vulnerability to novel infections. Faced with this threat and no effective treatment, in line with many other countries, the UK adopted enforced social distancing (lockdown) to reduce transmission—successfully reducing the reproductive number R below one. However, given the large pool of susceptible individuals that remain, complete relaxation of controls is likely to generate a substantial further outbreak. Vaccination remains the only foreseeable means of both containing the infection and returning to normal interactions and behaviour. Here, we consider the optimal targeting of vaccination within the UK, with the aim of minimising future deaths or quality adjusted life year (QALY) losses. We show that, for a range of assumptions on the action and efficacy of the vaccine, targeting older age groups first is optimal and may be sufficient to stem the epidemic if the vaccine prevents transmission as well as disease.<br />Author summary In line with most other countries across the globe, and in the absence of a vaccine or pharmaceutical treatments, the UK has relied heavily upon non-pharmaceutical social measures to control the impact of the COVID-19 pandemic. While this has proved effective in reducing the healthcare burden compared to an uncontrolled outbreak, this is achieved to the detriment of the economy, education and many other societal factors. As vaccines are developed which mitigate the disease, it is of great importance that they are delivered in an optimal manner—reducing mortality and healthcare demands. Using an age-structured mathematical model of SARS-CoV-2 transmission, we test different vaccine ordering strategies to identify which members of society should be targeted for vaccination first in order to achieve a specified health objective. In all scenarios we find vaccinating the most elderly and vulnerable first to have the greatest impact, though the ultimate success of any vaccination scheme will be highly contingent on the characteristics of the vaccine itself and the level of population uptake.
- Subjects :
- RNA viruses
Immunity, Herd
0301 basic medicine
Viral Diseases
Coronaviruses
Epidemiology
Vulnerability
Disease
law.invention
Medical Conditions
0302 clinical medicine
law
Medicine and Health Sciences
Medicine
Public and Occupational Health
030212 general & internal medicine
Biology (General)
Pathology and laboratory medicine
Vaccines
Ecology
Social distance
Viral Vaccine
Vaccination
Medical microbiology
Vaccination and Immunization
Infectious Diseases
Transmission (mechanics)
Computational Theory and Mathematics
Modeling and Simulation
Viruses
SARS CoV 2
Pathogens
Research Article
RM
COVID-19 Vaccines
Infectious Disease Control
SARS coronavirus
QH301-705.5
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Immunology
Microbiology
Herd immunity
03 medical and health sciences
Cellular and Molecular Neuroscience
Virology
Environmental health
Vaccine Development
Genetics
Humans
Computer Simulation
Molecular Biology
Ecology, Evolution, Behavior and Systematics
business.industry
Organisms
Viral pathogens
Biology and Life Sciences
COVID-19
Outbreak
Viral Vaccines
Covid 19
United Kingdom
Microbial pathogens
Quality-adjusted life year
030104 developmental biology
Age Groups
Medical Risk Factors
People and Places
Communicable Disease Control
Population Groupings
Preventive Medicine
business
RA
Subjects
Details
- Language :
- English
- ISSN :
- 15537358
- Volume :
- 17
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- PLoS Computational Biology
- Accession number :
- edsair.doi.dedup.....c58c1bd233cb6817d5d01566210b1354