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COVID Border Accountability Project, a hand-coded global database of border closures introduced during 2020
Quantifying the timing and content of policy changes affecting international travel and immigration is key to ongoing research on the spread of SARS-CoV-2 and the socioeconomic impacts of border closures. The COVID Border Accountability Project (COBAP) provides a hand-coded dataset of >1000 polic...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8481472/ https://www.ncbi.nlm.nih.gov/pubmed/34588463 http://dx.doi.org/10.1038/s41597-021-01031-5 |
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author | Shiraef, Mary A. Hirst, Cora Weiss, Mark A. Naseer, Sarah Lazar, Nikolas Beling, Elizabeth Straight, Erin Feddern, Lukas Taylor, Noah Rusk Jackson, Cayleigh Yu, William Bhaskaran, Aadya Mattar, Layth Amme, Matthew Shum, Maggie Mitsdarffer, Mary Louise Sweere, Johanna Brantley, Susanna E. Schenoni, Luis L. Lewis-Beck, Colin |
author_facet | Shiraef, Mary A. Hirst, Cora Weiss, Mark A. Naseer, Sarah Lazar, Nikolas Beling, Elizabeth Straight, Erin Feddern, Lukas Taylor, Noah Rusk Jackson, Cayleigh Yu, William Bhaskaran, Aadya Mattar, Layth Amme, Matthew Shum, Maggie Mitsdarffer, Mary Louise Sweere, Johanna Brantley, Susanna E. Schenoni, Luis L. Lewis-Beck, Colin |
author_sort | Shiraef, Mary A. |
collection | PubMed |
description | Quantifying the timing and content of policy changes affecting international travel and immigration is key to ongoing research on the spread of SARS-CoV-2 and the socioeconomic impacts of border closures. The COVID Border Accountability Project (COBAP) provides a hand-coded dataset of >1000 policies systematized to reflect a complete timeline of country-level restrictions on movement across international borders during 2020. Trained research assistants used pre-set definitions to source, categorize and verify for each new border policy: start and end dates, whether the closure is “complete” or “partial”, which exceptions are made, which countries are banned, and which air/land/sea borders were closed. COBAP verified the database through internal and external audits from public health experts. For purposes of further verification and future data mining efforts of pandemic research, the full text of each policy was archived. The structure of the COBAP dataset is designed for use by social and biomedical scientists. For broad accessibility to policymakers and the public, our website depicts the data in an interactive, user-friendly, time-based map. |
format | Online Article Text |
id | pubmed-8481472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84814722021-10-08 COVID Border Accountability Project, a hand-coded global database of border closures introduced during 2020 Shiraef, Mary A. Hirst, Cora Weiss, Mark A. Naseer, Sarah Lazar, Nikolas Beling, Elizabeth Straight, Erin Feddern, Lukas Taylor, Noah Rusk Jackson, Cayleigh Yu, William Bhaskaran, Aadya Mattar, Layth Amme, Matthew Shum, Maggie Mitsdarffer, Mary Louise Sweere, Johanna Brantley, Susanna E. Schenoni, Luis L. Lewis-Beck, Colin Sci Data Data Descriptor Quantifying the timing and content of policy changes affecting international travel and immigration is key to ongoing research on the spread of SARS-CoV-2 and the socioeconomic impacts of border closures. The COVID Border Accountability Project (COBAP) provides a hand-coded dataset of >1000 policies systematized to reflect a complete timeline of country-level restrictions on movement across international borders during 2020. Trained research assistants used pre-set definitions to source, categorize and verify for each new border policy: start and end dates, whether the closure is “complete” or “partial”, which exceptions are made, which countries are banned, and which air/land/sea borders were closed. COBAP verified the database through internal and external audits from public health experts. For purposes of further verification and future data mining efforts of pandemic research, the full text of each policy was archived. The structure of the COBAP dataset is designed for use by social and biomedical scientists. For broad accessibility to policymakers and the public, our website depicts the data in an interactive, user-friendly, time-based map. Nature Publishing Group UK 2021-09-29 /pmc/articles/PMC8481472/ /pubmed/34588463 http://dx.doi.org/10.1038/s41597-021-01031-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Shiraef, Mary A. Hirst, Cora Weiss, Mark A. Naseer, Sarah Lazar, Nikolas Beling, Elizabeth Straight, Erin Feddern, Lukas Taylor, Noah Rusk Jackson, Cayleigh Yu, William Bhaskaran, Aadya Mattar, Layth Amme, Matthew Shum, Maggie Mitsdarffer, Mary Louise Sweere, Johanna Brantley, Susanna E. Schenoni, Luis L. Lewis-Beck, Colin COVID Border Accountability Project, a hand-coded global database of border closures introduced during 2020 |
title | COVID Border Accountability Project, a hand-coded global database of border closures introduced during 2020 |
title_full | COVID Border Accountability Project, a hand-coded global database of border closures introduced during 2020 |
title_fullStr | COVID Border Accountability Project, a hand-coded global database of border closures introduced during 2020 |
title_full_unstemmed | COVID Border Accountability Project, a hand-coded global database of border closures introduced during 2020 |
title_short | COVID Border Accountability Project, a hand-coded global database of border closures introduced during 2020 |
title_sort | covid border accountability project, a hand-coded global database of border closures introduced during 2020 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8481472/ https://www.ncbi.nlm.nih.gov/pubmed/34588463 http://dx.doi.org/10.1038/s41597-021-01031-5 |
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