COVID-19 is linked to changes in the time-space dimension of human mobility
dc.contributor.author | Santana, C | |
dc.contributor.author | Botta, F | |
dc.contributor.author | Barbosa, H | |
dc.contributor.author | Privitera, F | |
dc.contributor.author | Menezes, R | |
dc.contributor.author | Di Clemente, R | |
dc.date.accessioned | 2023-09-18T14:45:39Z | |
dc.date.issued | 2023-07-27 | |
dc.date.updated | 2023-09-18T14:22:41Z | |
dc.description.abstract | Socio-economic constructs and urban topology are crucial drivers of human mobility patterns. During the coronavirus disease 2019 pandemic, these patterns were reshaped in their components: the spatial dimension represented by the daily travelled distance, and the temporal dimension expressed as the synchronization time of commuting routines. Here, leveraging location-based data from de-identified mobile phone users, we observed that, during lockdowns restrictions, the decrease of spatial mobility is interwoven with the emergence of asynchronous mobility dynamics. The lifting of restriction in urban mobility allowed a faster recovery of the spatial dimension compared with the temporal one. Moreover, the recovery in mobility was different depending on urbanization levels and economic stratification. In rural and low-income areas, the spatial mobility dimension suffered a more considerable disruption when compared with urbanized and high-income areas. In contrast, the temporal dimension was more affected in urbanized and high-income areas than in rural and low-income areas. | en_GB |
dc.description.sponsorship | Economic and Social Research Council (ESRC) | en_GB |
dc.description.sponsorship | ADR UK | en_GB |
dc.format.extent | 1-11 | |
dc.format.medium | Print-Electronic | |
dc.identifier.citation | Published online 27 July 2023 | en_GB |
dc.identifier.doi | https://doi.org/10.1038/s41562-023-01660-3 | |
dc.identifier.grantnumber | ES/W003937/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/134026 | |
dc.identifier | ORCID: 0000-0002-5681-4535 (Botta, Federico) | |
dc.identifier | ScopusID: 56890901600 (Botta, Federico) | |
dc.identifier | ResearcherID: I-3688-2019 (Botta, Federico) | |
dc.identifier | ORCID: 0000-0002-3927-969X (Barbosa, Hugo) | |
dc.identifier | ScopusID: 57130275200 (Barbosa, Hugo) | |
dc.identifier | ORCID: 0000-0002-6479-6429 (Menezes, Ronaldo) | |
dc.language.iso | en | en_GB |
dc.publisher | Nature Research | en_GB |
dc.relation.url | https://doi.org/10.5281/zenodo.8014785 | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/37500782 | en_GB |
dc.rights | © The Author(s) 2023. 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/. | en_GB |
dc.title | COVID-19 is linked to changes in the time-space dimension of human mobility | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2023-09-18T14:45:39Z | |
dc.identifier.issn | 2397-3374 | |
exeter.place-of-publication | England | |
dc.description | This is the final version. Available on open access from Nature Research via the DOI in this record | en_GB |
dc.description | Data availability: The paper contains all the necessary information to assess its conclusions, including details found in both the paper and Supplementary Information. Due to contractual and privacy obligations, we are unable to share the raw mobile phone data. However, access can be provided by Spectus upon agreement and signature of the non-disclosure agreement. More information on data access for research can be found at Spectus -"Data for Good" movement. | en_GB |
dc.description | Code availability: Scripts and Notebooks in Python with our analyses and to reproduce the results in this paper were archived with Zenodo (https://doi.org/10.5281/zenodo.8014785). | en_GB |
dc.identifier.eissn | 2397-3374 | |
dc.identifier.journal | Nature Human Behaviour | en_GB |
dc.relation.ispartof | Nat Hum Behav | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2023-06-20 | |
dc.rights.license | CC BY | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2023-07-27 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2023-09-18T14:43:23Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2023-09-18T14:45:40Z | |
refterms.panel | B | en_GB |
refterms.dateFirstOnline | 2023-07-27 |
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