ArticleScientific data2023
A dataset to assess mobility changes in Chile following local quarantines.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
6 citing papers in PubMed.
- Inference of latent epidemic regimes and generative simulations reveal how inequality and mobility shape COVID-19 transmission.Scientific reports · 2026Article
- Review
- The social stratification of internal migration and daily mobility during the COVID-19 pandemic.Scientific reports · 2024Article
- Assessment of the Occurrence of Forest Fires in Pandemic Period by COVID-19 in Chile. Preliminary Backgrounds.International journal of environmental research and public health · 2021Article
- Changes in local travel behaviour before and during the COVID-19 pandemic in Hong Kong.Cities (London, England) · 2021Article
- Evaluation of home detection algorithms on mobile phone data using individual-level ground truth.EPJ data science · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
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.
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Registered trials
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