
The Library
Evaluating strategies for spatial allocation of vaccines based on risk and centrality
Tools
Singer, B., Thompson, Robin N. and Bonsall, M. (2022) Evaluating strategies for spatial allocation of vaccines based on risk and centrality. Journal of the Royal Society, Interface, 19 (187). 20210709. doi:10.1098/rsif.2021.0709 ISSN 1742-5662.
|
PDF
WRAP-Evaluating-strategies-spatial-allocation-vaccines-risk-centrality-2022.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (743Kb) | Preview |
|
![]() |
PDF
WRAP-Evaluating-strategies-spatial-allocation-vaccines-risk-centrality-2022.pdf - Accepted Version Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Download (1056Kb) |
|
![]() |
PDF
WRAP-Singer-2022-Supplementary.pdf - Supplemental Material Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Download (793Kb) |
Official URL: https://doi.org/10.1098/rsif.2021.0709
Abstract
When vaccinating a large population in response to an invading pathogen, it is often necessary to prioritize some individuals to be vaccinated first. One way to do this is to choose individuals to vaccinate based on their location. Methods for this prioritization include strategies that target those regions most at risk of importing the pathogen, and strategies that target regions with high centrality on the travel network. We use a simple infectious disease epidemic model to compare a risk-targeting strategy to two different centrality-targeting strategies based on betweenness centrality and random walk percolation centrality, respectively. We find that the relative effectiveness of these strategies in reducing the total number of infections varies with the basic reproduction number of the pathogen, travel rates, structure of the travel network and vaccine availability. We conclude that when a pathogen has high spreading capacity, or when vaccine availability is limited, centrality-targeting strategies should be considered as an alternative to the more commonly used risk-targeting strategies.
Item Type: | Journal Article | ||||||||
---|---|---|---|---|---|---|---|---|---|
Subjects: | Q Science > QA Mathematics R Medicine > RA Public aspects of medicine |
||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Mathematics | ||||||||
Library of Congress Subject Headings (LCSH): | Vaccines, Vaccines -- Mathematical models, Epidemiology -- Research -- Methodology, Epidemiology -- Statistical methods, Communicable diseases -- Vaccination -- Mathematical models | ||||||||
Journal or Publication Title: | Journal of the Royal Society, Interface | ||||||||
Publisher: | Royal Society | ||||||||
ISSN: | 1742-5662 | ||||||||
Official Date: | February 2022 | ||||||||
Dates: |
|
||||||||
Volume: | 19 | ||||||||
Number: | 187 | ||||||||
Article Number: | 20210709 | ||||||||
DOI: | 10.1098/rsif.2021.0709 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||
Date of first compliant deposit: | 13 January 2022 | ||||||||
Date of first compliant Open Access: | 13 January 2022 | ||||||||
RIOXX Funder/Project Grant: |
|
||||||||
Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
![]() |
View Item |
Downloads
Downloads per month over past year