Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/36739
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Abernethy, Gavin M | en_UK |
dc.contributor.author | Glass, David H | en_UK |
dc.date.accessioned | 2025-03-09T01:10:47Z | - |
dc.date.available | 2025-03-09T01:10:47Z | - |
dc.date.issued | 2022-03 | en_UK |
dc.identifier.uri | http://hdl.handle.net/1893/36739 | - |
dc.description.abstract | An age-structured SEIR model simulates the propagation of COVID-19 in the population of Northern Ireland. It is used to identify optimal timings of short-term lockdowns that enable long-term pandemic exit strategies by clearing the threshold for herd immunity or achieving time for vaccine development with minimal excess deaths. | en_UK |
dc.language.iso | en | en_UK |
dc.publisher | The Royal Society | en_UK |
dc.relation | Abernethy GM & Glass DH (2022) Optimal COVID-19 lockdown strategies in an age-structured SEIR model of Northern Ireland. <i>Journal of The Royal Society Interface</i>, 19 (188). https://doi.org/10.1098/rsif.2021.0896 | en_UK |
dc.rights | © 2022 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. | en_UK |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_UK |
dc.subject | compartmental model | en_UK |
dc.subject | epidemiology | en_UK |
dc.subject | lockdown simulation | en_UK |
dc.subject | SARS-CoV-2 | en_UK |
dc.title | Optimal COVID-19 lockdown strategies in an age-structured SEIR model of Northern Ireland | en_UK |
dc.type | Journal Article | en_UK |
dc.identifier.doi | 10.1098/rsif.2021.0896 | en_UK |
dc.identifier.pmid | 35259954 | en_UK |
dc.citation.jtitle | Journal of the Royal Society Interface | en_UK |
dc.citation.issn | 1742-5662 | en_UK |
dc.citation.volume | 19 | en_UK |
dc.citation.issue | 188 | en_UK |
dc.citation.publicationstatus | Published | en_UK |
dc.citation.peerreviewed | Refereed | en_UK |
dc.type.status | VoR - Version of Record | en_UK |
dc.contributor.funder | Sheffield Hallam University | en_UK |
dc.author.email | gavin.abernethy@stir.ac.uk | en_UK |
dc.citation.date | 09/03/2022 | en_UK |
dc.contributor.affiliation | Sheffield Hallam University | en_UK |
dc.contributor.affiliation | Ulster University | en_UK |
dc.identifier.isi | WOS:000791271700002 | en_UK |
dc.identifier.scopusid | 2-s2.0-85126079732 | en_UK |
dc.identifier.wtid | 2081113 | en_UK |
dc.contributor.orcid | 0000-0001-6983-6349 | en_UK |
dc.contributor.orcid | 0000-0002-6180-696X | en_UK |
dc.date.accepted | 2022-02-16 | en_UK |
dcterms.dateAccepted | 2022-02-16 | en_UK |
dc.date.filedepositdate | 2024-12-12 | en_UK |
dc.subject.tag | COVID-19 | en_UK |
rioxxterms.apc | not required | en_UK |
rioxxterms.version | VoR | en_UK |
local.rioxx.author | Abernethy, Gavin M|0000-0001-6983-6349 | en_UK |
local.rioxx.author | Glass, David H|0000-0002-6180-696X | en_UK |
local.rioxx.project | Project ID unknown|Sheffield Hallam University|http://dx.doi.org/10.13039/100010035 | en_UK |
local.rioxx.freetoreaddate | 2025-02-14 | en_UK |
local.rioxx.licence | http://creativecommons.org/licenses/by/4.0/|2025-02-14| | en_UK |
local.rioxx.filename | abernethy-glass-2022-optimal-covid-19-lockdown-strategies-in-an-age-structured-seir-model-of-northern-ireland.pdf | en_UK |
local.rioxx.filecount | 1 | en_UK |
local.rioxx.source | 1742-5662 | en_UK |
Appears in Collections: | Computing Science and Mathematics Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
abernethy-glass-2022-optimal-covid-19-lockdown-strategies-in-an-age-structured-seir-model-of-northern-ireland.pdf | Fulltext - Published Version | 1.88 MB | Adobe PDF | View/Open |
This item is protected by original copyright |
A file in this item is licensed under a Creative Commons License
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.