ArticleNature communications2025
Citizens' smartphones unravel earthquake shaking in urban areas.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
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.
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Who cites it
2 citing papers in PubMed.
- Performance and user response of android's smartphone-based alerts in the 2025 Marmara Ereğlisi earthquake.Nature communications · 2026Article
- Citizens' smartphones unravel earthquake shaking in urban areas.Nature communications · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Seismic shaking maps (known as ShakeMaps) have become an essential tool for assessing the impact of a recent earthquake or for scenario studies of future events. The spatial resolution of ShakeMaps remains low, particularly in urban areas where spatial variations can have a major impact on damage due to varying population density. Smartphones, with their internal accelerometers and widespread use, help to increase the density of seismic recording precisely where the potential impact of the earthquake may be greatest. In this work, we use statistical spatial modelling to show that smartphone measurements collected by the Earthquake Network citizen science initiative allow us to map site amplification at high spatial resolution, generate high-resolution ShakeMaps, and improve existing ground motion models. We apply the method to the red zone of Campi Flegrei, Italy, a high volcanic and seismic risk area with around 500,000 inhabitants and characterised by a complex spatial pattern of site amplification.
Identifiers
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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.