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Vaccination and testing of the border workforce for COVID-19 and risk of community outbreaks: a modelling study

Throughout 2020 and the first part of 2021, Australia and New Zealand have followed a COVID-19 elimination strategy. Both countries require overseas arrivals to quarantine in government-managed facilities at the border. In both countries, community outbreaks of COVID-19 have been started via infecti...

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Autores principales: Plank, Michael J., Binny, Rachelle N., Hendy, Shaun C., Lustig, Audrey, Ridings, Kannan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479330/
https://www.ncbi.nlm.nih.gov/pubmed/34631122
http://dx.doi.org/10.1098/rsos.210686
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author Plank, Michael J.
Binny, Rachelle N.
Hendy, Shaun C.
Lustig, Audrey
Ridings, Kannan
author_facet Plank, Michael J.
Binny, Rachelle N.
Hendy, Shaun C.
Lustig, Audrey
Ridings, Kannan
author_sort Plank, Michael J.
collection PubMed
description Throughout 2020 and the first part of 2021, Australia and New Zealand have followed a COVID-19 elimination strategy. Both countries require overseas arrivals to quarantine in government-managed facilities at the border. In both countries, community outbreaks of COVID-19 have been started via infection of a border worker. This workforce is rightly being prioritized for vaccination. However, although vaccines are highly effective in preventing disease, their effectiveness in preventing infection with and transmission of SARS-CoV-2 is less certain. There is a danger that vaccination could prevent symptoms of COVID-19 but not prevent transmission. Here, we use a stochastic model of SARS-CoV-2 transmission and testing to investigate the effect that vaccination of border workers has on the risk of an outbreak in an unvaccinated community. We simulate the model starting with a single infected border worker and measure the number of people who are infected before the first case is detected by testing. We show that if a vaccine reduces transmission by 50%, vaccination of border workers increases the risk of a major outbreak from around 7% per seed case to around 9% per seed case. The lower the vaccine effectiveness against transmission, the higher the risk. The increase in risk as a result of vaccination can be mitigated by increasing the frequency of routine testing for high-exposure vaccinated groups.
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spelling pubmed-84793302021-10-08 Vaccination and testing of the border workforce for COVID-19 and risk of community outbreaks: a modelling study Plank, Michael J. Binny, Rachelle N. Hendy, Shaun C. Lustig, Audrey Ridings, Kannan R Soc Open Sci Mathematics Throughout 2020 and the first part of 2021, Australia and New Zealand have followed a COVID-19 elimination strategy. Both countries require overseas arrivals to quarantine in government-managed facilities at the border. In both countries, community outbreaks of COVID-19 have been started via infection of a border worker. This workforce is rightly being prioritized for vaccination. However, although vaccines are highly effective in preventing disease, their effectiveness in preventing infection with and transmission of SARS-CoV-2 is less certain. There is a danger that vaccination could prevent symptoms of COVID-19 but not prevent transmission. Here, we use a stochastic model of SARS-CoV-2 transmission and testing to investigate the effect that vaccination of border workers has on the risk of an outbreak in an unvaccinated community. We simulate the model starting with a single infected border worker and measure the number of people who are infected before the first case is detected by testing. We show that if a vaccine reduces transmission by 50%, vaccination of border workers increases the risk of a major outbreak from around 7% per seed case to around 9% per seed case. The lower the vaccine effectiveness against transmission, the higher the risk. The increase in risk as a result of vaccination can be mitigated by increasing the frequency of routine testing for high-exposure vaccinated groups. The Royal Society 2021-09-29 /pmc/articles/PMC8479330/ /pubmed/34631122 http://dx.doi.org/10.1098/rsos.210686 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Mathematics
Plank, Michael J.
Binny, Rachelle N.
Hendy, Shaun C.
Lustig, Audrey
Ridings, Kannan
Vaccination and testing of the border workforce for COVID-19 and risk of community outbreaks: a modelling study
title Vaccination and testing of the border workforce for COVID-19 and risk of community outbreaks: a modelling study
title_full Vaccination and testing of the border workforce for COVID-19 and risk of community outbreaks: a modelling study
title_fullStr Vaccination and testing of the border workforce for COVID-19 and risk of community outbreaks: a modelling study
title_full_unstemmed Vaccination and testing of the border workforce for COVID-19 and risk of community outbreaks: a modelling study
title_short Vaccination and testing of the border workforce for COVID-19 and risk of community outbreaks: a modelling study
title_sort vaccination and testing of the border workforce for covid-19 and risk of community outbreaks: a modelling study
topic Mathematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479330/
https://www.ncbi.nlm.nih.gov/pubmed/34631122
http://dx.doi.org/10.1098/rsos.210686
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