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.
| Original language | English |
|---|---|
| Article number | 20210896 |
| Pages (from-to) | 1-11 |
| Number of pages | 11 |
| Journal | Journal of The Royal Society Interface |
| Volume | 19 |
| Issue number | 188 |
| Early online date | 9 Mar 2022 |
| DOIs | |
| Publication status | Published online - 9 Mar 2022 |
Bibliographical note
Funding Information:The authors would like to thank Dr Xu Xu, Dr Ros Porter and Dr Angharad Ugonna of Sheffield Hallam University and Dr Mark McCartney of Ulster University for their assistance conceptualizing the manuscript.
Publisher Copyright:
© 2022 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License.
Funding
Funding Information: The authors would like to thank Dr Xu Xu, Dr Ros Porter and Dr Angharad Ugonna of Sheffield Hallam University and Dr Mark McCartney of Ulster University for their assistance conceptualizing the manuscript. Publisher Copyright: © 2022 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Life Sciences–Mathematics interface
- Research articles
- compartmental model
- epidemiology
- lockdown simulation
- SARS-CoV-2
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