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Articoli scientifici

Articoli scientifici sul progetto Earthquake Network

  1. Aiello, L., Argiento, R., Finazzi, F. and Paci, L. (2025). Survival modelling of smartphone trigger data in crowdsourced seismic monitoring: with applications to the 2023 Pazarcik and 2019 Ridgecrest earthquakes. Journal of the Royal Statistical Society Series A: Statistics in Society. doi.org/10.1093/jrsssa/qnae148.
  2. Finazzi, F., Bossu, R. and Cotton, F. (2024) Smartphones enabled up to 58 s strong-shaking warning in the M7.8 Türkiye earthquake. Scientific Reports, 14: 4878.
  3. Finazzi, F. and Massoda Tchoussi, F.Y. (2024) Assessing the alerting capabilities of the Earthquake Network early warning system in Haiti with Monte Carlo simulations. Stochastic Environmental Research and Risk Assessment, 38: 147–156.
  4. Massoda Tchoussi, F.Y. and Finazzi, F. (2023) A statistical methodology for classifying earthquake detections and for earthquake parameter estimation in smartphone-based earthquake early warning systems. Front. Appl. Math. Stat. 9: 1107243.
  5. Finazzi, F., Bondár, I., Bossu, R. and Steed, R. (2022) A Probabilistic Framework for Modeling the Detection Capability of Smartphone Networks in Earthquake Early Warning. Seismological Research Letters. 93: 3291–3307.
  6. Fallou, L., Finazzi, F. and Bossu, R. (2021) Efficacy and Usefulness of an Independent Public Earthquake Early Warning System: A Case Study—The Earthquake Network Initiative in Peru. Seismological Research Letters. 93: 827–839.
  7. Bossu, R., Finazzi, F.,  Steed, R., Fallou, L. and Bondár, I. (2021) “Shaking in 5 seconds!” A Voluntary Smartphone-based Earthquake Early Warning System. Seismological Research Letters. 93: 137–148.
  8. Finazzi, F. (2020) The Earthquake Network Project: A Platform for Earthquake Early Warning, Rapid Impact Assessment, and Search and Rescue. Front. Earth Sci. 8: 243.
  9. Finazzi, F. (2020) Fulfilling the information need after an earthquake: statistical modelling of citizen science seismic reports for predicting earthquake parameters in near realtime. Journal of the Royal Statistical Society: Series A (Statistics in Society). 183: 857–882.
  10. Finazzi, F. and Fassò, A. (2017) A statistical approach to crowdsourced smartphone-based earthquake early warning systems. Stoch Environ Res Risk Assess  31: 1649–1658.
  11. Finazzi, F. (2016) How a smartphone network detects earthquakes in real time. Significance, 13: 6–7.
  12. Finazzi, F. (2016) The Earthquake Network Project: Toward a Crowdsourced Smartphone‐Based Earthquake Early Warning System. Bulletin of the Seismological Society of America. 106: 1088–1099.

Articoli scientifici legati al progetto Earthquake Network

  1. Finazzi, F. (2023) Replacing discontinued Big Tech mobility reports: a penetration-based analysis. Scientific Reports, 13: 935.
  2. Finazzi, F. and Fassò, A. (2020) The impact of the Covid‐19 pandemic on Italian mobility. Significance. 17: 17–18.
  3. Finazzi, F. and Paci, L. (2019) Quantifying personal exposure to air pollution from smartphone‐based location data. Biometrics. 75: 1356–1366.
  4. Finazzi, F. and Paci, L. (2019) Kernel-based estimation of individual location densities from smartphone data. Statistical Modelling. 20: 617–633.