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A dataset to assess mobility changes in Chile following local quarantines
Fighting the COVID-19 pandemic, most countries have implemented non-pharmaceutical interventions like wearing masks, physical distancing, lockdown, and travel restrictions. Because of their economic and logistical effects, tracking mobility changes during quarantines is crucial in assessing their ef...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809531/ https://www.ncbi.nlm.nih.gov/pubmed/36596790 http://dx.doi.org/10.1038/s41597-022-01893-3 |
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author | Pappalardo, Luca Cornacchia, Giuliano Navarro, Victor Bravo, Loreto Ferres, Leo |
author_facet | Pappalardo, Luca Cornacchia, Giuliano Navarro, Victor Bravo, Loreto Ferres, Leo |
author_sort | Pappalardo, Luca |
collection | PubMed |
description | Fighting the COVID-19 pandemic, most countries have implemented non-pharmaceutical interventions like wearing masks, physical distancing, lockdown, and travel restrictions. Because of their economic and logistical effects, tracking mobility changes during quarantines is crucial in assessing their efficacy and predicting the virus spread. Unlike many other heavily affected countries, Chile implemented quarantines at a more localized level, shutting down small administrative zones, rather than the whole country or large regions. Given the non-obvious effects of these localized quarantines, tracking mobility becomes even more critical in Chile. To assess the impact on human mobility of the localized quarantines, we analyze a mobile phone dataset made available by Telefónica Chile, which comprises 31 billion eXtended Detail Records and 5.4 million users covering the period February 26th to September 20th, 2020. From these records, we derive three epidemiologically relevant metrics describing the mobility within and between comunas. The datasets made available may be useful to understand the effect of localized quarantines in containing the COVID-19 pandemic. |
format | Online Article Text |
id | pubmed-9809531 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98095312023-01-04 A dataset to assess mobility changes in Chile following local quarantines Pappalardo, Luca Cornacchia, Giuliano Navarro, Victor Bravo, Loreto Ferres, Leo Sci Data Data Descriptor Fighting the COVID-19 pandemic, most countries have implemented non-pharmaceutical interventions like wearing masks, physical distancing, lockdown, and travel restrictions. Because of their economic and logistical effects, tracking mobility changes during quarantines is crucial in assessing their efficacy and predicting the virus spread. Unlike many other heavily affected countries, Chile implemented quarantines at a more localized level, shutting down small administrative zones, rather than the whole country or large regions. Given the non-obvious effects of these localized quarantines, tracking mobility becomes even more critical in Chile. To assess the impact on human mobility of the localized quarantines, we analyze a mobile phone dataset made available by Telefónica Chile, which comprises 31 billion eXtended Detail Records and 5.4 million users covering the period February 26th to September 20th, 2020. From these records, we derive three epidemiologically relevant metrics describing the mobility within and between comunas. The datasets made available may be useful to understand the effect of localized quarantines in containing the COVID-19 pandemic. Nature Publishing Group UK 2023-01-03 /pmc/articles/PMC9809531/ /pubmed/36596790 http://dx.doi.org/10.1038/s41597-022-01893-3 Text en © The Author(s) 2023 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/) . |
spellingShingle | Data Descriptor Pappalardo, Luca Cornacchia, Giuliano Navarro, Victor Bravo, Loreto Ferres, Leo A dataset to assess mobility changes in Chile following local quarantines |
title | A dataset to assess mobility changes in Chile following local quarantines |
title_full | A dataset to assess mobility changes in Chile following local quarantines |
title_fullStr | A dataset to assess mobility changes in Chile following local quarantines |
title_full_unstemmed | A dataset to assess mobility changes in Chile following local quarantines |
title_short | A dataset to assess mobility changes in Chile following local quarantines |
title_sort | dataset to assess mobility changes in chile following local quarantines |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809531/ https://www.ncbi.nlm.nih.gov/pubmed/36596790 http://dx.doi.org/10.1038/s41597-022-01893-3 |
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