ArticleBig data & society2020
COVID-19 is spatial: Ensuring that mobile Big Data is used for social good.
Article in Big data & society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 83 citations in OpenAlex.
- Analyzing post-COVID-19 demographic and mobility changes in Andalusia using mobile phone data.Scientific reports · 2024Article
- Short- and Long-Term Predicted and Witnessed Consequences of Digital Surveillance During the COVID-19 Pandemic: Scoping Review.JMIR public health and surveillance · 2024Article
- Towards more realistic measures of accessibility to emergency departments in Sweden.International journal of health geographics · 2024Article
- People's political views, perceived social norms, and individualism shape their privacy concerns for and acceptance of pandemic control measures that use individual-level georeferenced data.International journal of health geographics · 2023Article
- Estimation of mobility and population in Spain during different phases of the COVID-19 pandemic from mobile phone data.Scientific reports · 2023Article
- A data-driven framework to assess population dynamics during novel coronavirus outbreaks: A case study on Xiamen Island, China.PloS one · 2023Article
- Determination of Population Mobility Dynamics in Popayán-Colombia during the COVID-19 Pandemic Using Open Datasets.International journal of environmental research and public health · 2022Article
- Spatial Syndromic Surveillance and COVID-19 in the U.S.: Local Cluster Mapping for Pandemic Preparedness.International journal of environmental research and public health · 2022Article
- A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland.Scientific data · 2022Article
- Data science for pedestrian and high street retailing as a framework for advancing urban informatics to individual scales.Urban informatics · 2022Review
- Analysis of pandemic outdoor recreation and green infrastructure in Nordic cities to enhance urban resilience.npj urban sustainability · 2022Article
- Applying contextual integrity to digital contact tracing and automated triage for hospitals during COVID-19.Technology in society · 2021Article
- Outdoor recreation and nature's contribution to well-being in a pandemic situation - Case Turku, Finland.Urban forestry & urban greening · 2021Article
- The association between socioeconomic status and mobility reductions in the early stage of England's COVID-19 epidemic.Health & place · 2021Article
- Socioeconomic Conditioning of the Development of the COVID-19 Pandemic and Its Global Spatial Differentiation.International journal of environmental research and public health · 2021Article
- Use of digital technologies for public health surveillance during the COVID-19 pandemic: A scoping review.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The mobility restrictions related to COVID-19 pandemic have resulted in the biggest disruption to individual mobilities in modern times. The crisis is clearly spatial in nature, and examining the geographical aspect is important in understanding the broad implications of the pandemic. The avalanche of mobile Big Data makes it possible to study the spatial effects of the crisis with spatiotemporal detail at the national and global scales. However, the current crisis also highlights serious limitations in the readiness to take the advantage of mobile Big Data for social good, both within and beyond the interests of health sector. We propose two strategical pathways for the future use of mobile Big Data for societal impact assessment, addressing access to both raw mobile Big Data as well as aggregated data products. Both pathways require careful considerations of privacy issues, harmonized and transparent methodologies, and attention to the representativeness, reliability and continuity of data. The goal is to be better prepared to use mobile Big Data in future crises.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.