Covid-19 is linked to changes in the time-space dimension of human mobility
Bibliographic Data
| ID | 4616670 |
|---|---|
| Authors | Clodomir Santana (0000-0001-7869-7184, University of Exeter), Federico Botta (0000-0002-5681-4535, University of Exeter), Helena Barbosa (0000-0002-3927-969X, University of Exeter), Filippo Privitera (0000-0003-4381-5501), Ronaldo Menezes (0000-0002-6479-6429, University of Exeter), Rick Di Clemente (0000-0001-8005-6351, Turing Institute, corresponding author) |
| Year | 2023 |
| Volume | 7 |
| Issue | 10 |
| Pages | 1729-1739 |
| Publication date | 2023-07-27 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Nature Human Behaviour (JOURNAL) |
| Journal identifiers | ISSN: 2397-3374 • E-ISSN: 2397-3374 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1038/s41562-023-01660-3 |
| PMID | 37500782 |
| OpenAlex | W4385302684 |
| Language | EN |
| Citations received | 18 |
| References cited | 94 |
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
Asynchronous communication · Economic geography · Economic growth · Economics · Geography · Mobile phone · Pandemic · Telecommunications · Urbanization · Computer Science · COVID-19 epidemiological studies · Data-Driven Disease Surveillance · Human Mobility and Location-Based Analysis · Mathematics · Medicine
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| Unique citing works | 18 |
|---|---|
| Citations per year | 9 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 18 |