Modelling the impact of travel restrictions on COVID-19 cases in Newfoundland and Labrador

In many jurisdictions, public health authorities have implemented travel restrictions to reduce coronavirus disease 2019 (COVID-19) spread. Policies that restrict travel within countries have been implemented, but the impact of these restrictions is not well known. On 4 May 2020, Newfoundland and La...

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Published in:Royal Society Open Science
Main Authors: Hurford, Amy, Rahman, Proton, Loredo-Osti, J. Concepción
Format: Text
Language:English
Published: The Royal Society 2021
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206704/
https://doi.org/10.1098/rsos.202266
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spelling ftpubmed:oai:pubmedcentral.nih.gov:8206704 2023-05-15T17:21:33+02:00 Modelling the impact of travel restrictions on COVID-19 cases in Newfoundland and Labrador Hurford, Amy Rahman, Proton Loredo-Osti, J. Concepción 2021-06-16 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206704/ https://doi.org/10.1098/rsos.202266 en eng The Royal Society http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206704/ http://dx.doi.org/10.1098/rsos.202266 © 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. CC-BY R Soc Open Sci Ecology Conservation and Global Change Biology Text 2021 ftpubmed https://doi.org/10.1098/rsos.202266 2021-06-20T00:59:23Z In many jurisdictions, public health authorities have implemented travel restrictions to reduce coronavirus disease 2019 (COVID-19) spread. Policies that restrict travel within countries have been implemented, but the impact of these restrictions is not well known. On 4 May 2020, Newfoundland and Labrador (NL) implemented travel restrictions such that non-residents required exemptions to enter the province. We fit a stochastic epidemic model to data describing the number of active COVID-19 cases in NL from 14 March to 26 June. We predicted possible outbreaks over nine weeks, with and without the travel restrictions, and for contact rates 40–70% of pre-pandemic levels. Our results suggest that the travel restrictions reduced the mean number of clinical COVID-19 cases in NL by 92%. Furthermore, without the travel restrictions there is a substantial risk of very large outbreaks. Using epidemic modelling, we show how the NL COVID-19 outbreak could have unfolded had the travel restrictions not been implemented. Both physical distancing and travel restrictions affect the local dynamics of the epidemic. Our modelling shows that the travel restrictions are a plausible reason for the few reported COVID-19 cases in NL after 4 May. Text Newfoundland PubMed Central (PMC) Newfoundland Royal Society Open Science 8 6 202266
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Ecology
Conservation
and Global Change Biology
spellingShingle Ecology
Conservation
and Global Change Biology
Hurford, Amy
Rahman, Proton
Loredo-Osti, J. Concepción
Modelling the impact of travel restrictions on COVID-19 cases in Newfoundland and Labrador
topic_facet Ecology
Conservation
and Global Change Biology
description In many jurisdictions, public health authorities have implemented travel restrictions to reduce coronavirus disease 2019 (COVID-19) spread. Policies that restrict travel within countries have been implemented, but the impact of these restrictions is not well known. On 4 May 2020, Newfoundland and Labrador (NL) implemented travel restrictions such that non-residents required exemptions to enter the province. We fit a stochastic epidemic model to data describing the number of active COVID-19 cases in NL from 14 March to 26 June. We predicted possible outbreaks over nine weeks, with and without the travel restrictions, and for contact rates 40–70% of pre-pandemic levels. Our results suggest that the travel restrictions reduced the mean number of clinical COVID-19 cases in NL by 92%. Furthermore, without the travel restrictions there is a substantial risk of very large outbreaks. Using epidemic modelling, we show how the NL COVID-19 outbreak could have unfolded had the travel restrictions not been implemented. Both physical distancing and travel restrictions affect the local dynamics of the epidemic. Our modelling shows that the travel restrictions are a plausible reason for the few reported COVID-19 cases in NL after 4 May.
format Text
author Hurford, Amy
Rahman, Proton
Loredo-Osti, J. Concepción
author_facet Hurford, Amy
Rahman, Proton
Loredo-Osti, J. Concepción
author_sort Hurford, Amy
title Modelling the impact of travel restrictions on COVID-19 cases in Newfoundland and Labrador
title_short Modelling the impact of travel restrictions on COVID-19 cases in Newfoundland and Labrador
title_full Modelling the impact of travel restrictions on COVID-19 cases in Newfoundland and Labrador
title_fullStr Modelling the impact of travel restrictions on COVID-19 cases in Newfoundland and Labrador
title_full_unstemmed Modelling the impact of travel restrictions on COVID-19 cases in Newfoundland and Labrador
title_sort modelling the impact of travel restrictions on covid-19 cases in newfoundland and labrador
publisher The Royal Society
publishDate 2021
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206704/
https://doi.org/10.1098/rsos.202266
geographic Newfoundland
geographic_facet Newfoundland
genre Newfoundland
genre_facet Newfoundland
op_source R Soc Open Sci
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206704/
http://dx.doi.org/10.1098/rsos.202266
op_rights © 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.
op_rightsnorm CC-BY
op_doi https://doi.org/10.1098/rsos.202266
container_title Royal Society Open Science
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