Confirmed coronavirus disease (COVID-19) cases and deaths in the Arctic 2020 - 2021
This project focuses on the development and deployment of a real-time web-based Coronavirus disease 2019 (COVID-19) data hub managed by an interdisciplinary team of experts in data science, geoinformatics, epidemiology and geography. The team is collecting, analyzing, and disseminating data on the s...
Main Authors: | , , , , , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
NSF Arctic Data Center
2021
|
Subjects: | |
Online Access: | https://dx.doi.org/10.18739/a2rb6w34r https://arcticdata.io/catalog/view/doi:10.18739/A2RB6W34R |
id |
ftdatacite:10.18739/a2rb6w34r |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.18739/a2rb6w34r 2023-05-15T14:34:37+02:00 Confirmed coronavirus disease (COVID-19) cases and deaths in the Arctic 2020 - 2021 Petrov, Andrey Welford, Mark Golosov, Nikolay DeGroote, John Degai, Tatiana Savelyev, Alexander 2021 text/xml https://dx.doi.org/10.18739/a2rb6w34r https://arcticdata.io/catalog/view/doi:10.18739/A2RB6W34R en eng NSF Arctic Data Center COVID19 dataset Dataset 2021 ftdatacite https://doi.org/10.18739/a2rb6w34r 2021-11-05T12:55:41Z This project focuses on the development and deployment of a real-time web-based Coronavirus disease 2019 (COVID-19) data hub managed by an interdisciplinary team of experts in data science, geoinformatics, epidemiology and geography. The team is collecting, analyzing, and disseminating data on the spatial and temporal dynamics of the COVID-19 pandemic in the Arctic. Both datasets and analyses of spatiotemporal trends at the subregional level will be made available to stakeholders including Arctic residents, researchers, and policymakers. Pandemic data are be contextualized through the collection of first-person accounts of the COVID-19 experience in Arctic communities. The team is also developing geovisualization tools and analyze datasets to address urgent questions related to the spread and geography of COVID-19 in the Arctic, assessing containment and mitigation policies and evaluating whether case fatality rates are affected by environmental, socioeconomic, and/or geographic variables. Long-term curation of Arctic COVID-19 data and data products will ensure availability for future analysis, historical study and policy consideration. This project is supported by NSF Award #2034886. Dataset Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
COVID19 |
spellingShingle |
COVID19 Petrov, Andrey Welford, Mark Golosov, Nikolay DeGroote, John Degai, Tatiana Savelyev, Alexander Confirmed coronavirus disease (COVID-19) cases and deaths in the Arctic 2020 - 2021 |
topic_facet |
COVID19 |
description |
This project focuses on the development and deployment of a real-time web-based Coronavirus disease 2019 (COVID-19) data hub managed by an interdisciplinary team of experts in data science, geoinformatics, epidemiology and geography. The team is collecting, analyzing, and disseminating data on the spatial and temporal dynamics of the COVID-19 pandemic in the Arctic. Both datasets and analyses of spatiotemporal trends at the subregional level will be made available to stakeholders including Arctic residents, researchers, and policymakers. Pandemic data are be contextualized through the collection of first-person accounts of the COVID-19 experience in Arctic communities. The team is also developing geovisualization tools and analyze datasets to address urgent questions related to the spread and geography of COVID-19 in the Arctic, assessing containment and mitigation policies and evaluating whether case fatality rates are affected by environmental, socioeconomic, and/or geographic variables. Long-term curation of Arctic COVID-19 data and data products will ensure availability for future analysis, historical study and policy consideration. This project is supported by NSF Award #2034886. |
format |
Dataset |
author |
Petrov, Andrey Welford, Mark Golosov, Nikolay DeGroote, John Degai, Tatiana Savelyev, Alexander |
author_facet |
Petrov, Andrey Welford, Mark Golosov, Nikolay DeGroote, John Degai, Tatiana Savelyev, Alexander |
author_sort |
Petrov, Andrey |
title |
Confirmed coronavirus disease (COVID-19) cases and deaths in the Arctic 2020 - 2021 |
title_short |
Confirmed coronavirus disease (COVID-19) cases and deaths in the Arctic 2020 - 2021 |
title_full |
Confirmed coronavirus disease (COVID-19) cases and deaths in the Arctic 2020 - 2021 |
title_fullStr |
Confirmed coronavirus disease (COVID-19) cases and deaths in the Arctic 2020 - 2021 |
title_full_unstemmed |
Confirmed coronavirus disease (COVID-19) cases and deaths in the Arctic 2020 - 2021 |
title_sort |
confirmed coronavirus disease (covid-19) cases and deaths in the arctic 2020 - 2021 |
publisher |
NSF Arctic Data Center |
publishDate |
2021 |
url |
https://dx.doi.org/10.18739/a2rb6w34r https://arcticdata.io/catalog/view/doi:10.18739/A2RB6W34R |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_doi |
https://doi.org/10.18739/a2rb6w34r |
_version_ |
1766307625747611648 |