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Spatiotemporal dynamics of the COVID-19 pandemic in the arctic: early data and emerging trends
Since February 2020 the COVID-19 pandemic has been unfolding in the Arctic, placing many communities at risk due to remoteness, limited healthcare options, underlying health issues and other compounding factors. Preliminary analysis of available COVID-19 data in the Arctic at the regional (subnation...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Taylor & Francis
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595240/ https://www.ncbi.nlm.nih.gov/pubmed/33074067 http://dx.doi.org/10.1080/22423982.2020.1835251 |
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author | Petrov, Andrey N. Welford, Mark Golosov, Nikolay DeGroote, John Degai, Tatiana Savelyev, Alexander |
author_facet | Petrov, Andrey N. Welford, Mark Golosov, Nikolay DeGroote, John Degai, Tatiana Savelyev, Alexander |
author_sort | Petrov, Andrey N. |
collection | PubMed |
description | Since February 2020 the COVID-19 pandemic has been unfolding in the Arctic, placing many communities at risk due to remoteness, limited healthcare options, underlying health issues and other compounding factors. Preliminary analysis of available COVID-19 data in the Arctic at the regional (subnational) level suggests that COVID-19 infections and mortality were highly variable, but generally remained below respective national levels. Based on the trends and magnitude of the pandemic through July, we classify Arctic regions into four groups: Iceland, Faroe Islands, Northern Norway, and Northern Finland with elevated early incidence rates, but where strict quarantines and other measures promptly curtailed the pandemic; Northern Sweden and Alaska, where the initial wave of infections persisted amid weak (Sweden) or variable (Alaska) quarantine measures; Northern Russia characterised by the late start and subsequent steep growth of COVID-19 cases and fatalities and multiple outbreaks; and Northern Canada and Greenland with no significant proliferation of the pandemic. Despite limitations in available data, further efforts to track and analyse the pandemic at the pan-Arctic, regional and local scales are crucial. This includes understanding of the COVID-19 patterns, mortality and morbidity, the relationships with public-health conditions, socioeconomic characteristics, policies, and experiences of the Indigenous Peoples. Data used in this paper are available at https://arctic.uni.edu/arctic-covid-19. |
format | Online Article Text |
id | pubmed-7595240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-75952402020-11-10 Spatiotemporal dynamics of the COVID-19 pandemic in the arctic: early data and emerging trends Petrov, Andrey N. Welford, Mark Golosov, Nikolay DeGroote, John Degai, Tatiana Savelyev, Alexander Int J Circumpolar Health Short Communication Since February 2020 the COVID-19 pandemic has been unfolding in the Arctic, placing many communities at risk due to remoteness, limited healthcare options, underlying health issues and other compounding factors. Preliminary analysis of available COVID-19 data in the Arctic at the regional (subnational) level suggests that COVID-19 infections and mortality were highly variable, but generally remained below respective national levels. Based on the trends and magnitude of the pandemic through July, we classify Arctic regions into four groups: Iceland, Faroe Islands, Northern Norway, and Northern Finland with elevated early incidence rates, but where strict quarantines and other measures promptly curtailed the pandemic; Northern Sweden and Alaska, where the initial wave of infections persisted amid weak (Sweden) or variable (Alaska) quarantine measures; Northern Russia characterised by the late start and subsequent steep growth of COVID-19 cases and fatalities and multiple outbreaks; and Northern Canada and Greenland with no significant proliferation of the pandemic. Despite limitations in available data, further efforts to track and analyse the pandemic at the pan-Arctic, regional and local scales are crucial. This includes understanding of the COVID-19 patterns, mortality and morbidity, the relationships with public-health conditions, socioeconomic characteristics, policies, and experiences of the Indigenous Peoples. Data used in this paper are available at https://arctic.uni.edu/arctic-covid-19. Taylor & Francis 2020-10-19 /pmc/articles/PMC7595240/ /pubmed/33074067 http://dx.doi.org/10.1080/22423982.2020.1835251 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Short Communication Petrov, Andrey N. Welford, Mark Golosov, Nikolay DeGroote, John Degai, Tatiana Savelyev, Alexander Spatiotemporal dynamics of the COVID-19 pandemic in the arctic: early data and emerging trends |
title | Spatiotemporal dynamics of the COVID-19 pandemic in the arctic: early data and emerging trends |
title_full | Spatiotemporal dynamics of the COVID-19 pandemic in the arctic: early data and emerging trends |
title_fullStr | Spatiotemporal dynamics of the COVID-19 pandemic in the arctic: early data and emerging trends |
title_full_unstemmed | Spatiotemporal dynamics of the COVID-19 pandemic in the arctic: early data and emerging trends |
title_short | Spatiotemporal dynamics of the COVID-19 pandemic in the arctic: early data and emerging trends |
title_sort | spatiotemporal dynamics of the covid-19 pandemic in the arctic: early data and emerging trends |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595240/ https://www.ncbi.nlm.nih.gov/pubmed/33074067 http://dx.doi.org/10.1080/22423982.2020.1835251 |
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