Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Pappalardo, Luca, Cornacchia, Giuliano, Navarro, Victor, Bravo, Loreto, Ferres, Leo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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
_version_ 1784863146989584384
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
work_keys_str_mv AT pappalardoluca adatasettoassessmobilitychangesinchilefollowinglocalquarantines
AT cornacchiagiuliano adatasettoassessmobilitychangesinchilefollowinglocalquarantines
AT navarrovictor adatasettoassessmobilitychangesinchilefollowinglocalquarantines
AT bravoloreto adatasettoassessmobilitychangesinchilefollowinglocalquarantines
AT ferresleo adatasettoassessmobilitychangesinchilefollowinglocalquarantines
AT pappalardoluca datasettoassessmobilitychangesinchilefollowinglocalquarantines
AT cornacchiagiuliano datasettoassessmobilitychangesinchilefollowinglocalquarantines
AT navarrovictor datasettoassessmobilitychangesinchilefollowinglocalquarantines
AT bravoloreto datasettoassessmobilitychangesinchilefollowinglocalquarantines
AT ferresleo datasettoassessmobilitychangesinchilefollowinglocalquarantines