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Book Chapter

I dati delle piattaforme durante la crisi da COVID-19

  • Antonello Romano

The chapter critically explores the role of 'platform data' during the COVID-19 pandemic.

  • Keywords:
  • Google,
  • Facebook,
  • COVID-19,
  • Big Data,
+ Show More

Antonello Romano

University of Siena, Italy - ORCID: 0000-0003-2834-5628

  1. Wesolowski, A., Buckee, C. O., Bengtsson, L., Wetter, E., Lu, X., & Tatem, A. J. (2014). Commentary: containing the Ebola outbreakthe potential and challenge of mobile network data. PLoS currents, 6. DOI: 10.1371/currents.outbreaks.0177e7fcf52217b8b634376e2f3efc5e
  2. Buckee, C. O., Balsari, S., Chan, J., Crosas, M., Dominici, F., Gasser, U., ... & Schroeder, A. (2020). Aggregated mobility data could help fight COVID-19. Science (New York, NY), 368(6487), 145-146. DOI: 10.1126/science.abb8021
  3. Wellenius, G. A., Vispute, S., Espinosa, V., Fabrikant, A., Tsai, T. C., Hennessy, J., ... & Gabrilovich, E. (2020). Impacts of state-level policies on social distancing in the United States using aggregated mobility data during the COVID-19 pandemic. arXiv preprint arXiv:2004.10172. DOI: 10.1038/s41467-021-23404-5
  4. Nouvellet, P., Bhatia, S., Cori, A. et al. Reduction in mobility and COVID-19 transmission. Nat Commun 12, 1090 (2021). 10.1038/s41467-021-21358-2 DOI: 10.1038/s41467-021-21358-2
  5. Hao, Q., Chen, L., Xu, F., & Li, Y. (2020, August). Understandingthe Urban Pandemic Spreading of COVID-19 with Real World Mobility Data. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 3485-3492). DOI: 10.1145/3394486.3412860
  6. Huang, J., Wang, H., Fan, M., Zhuo, A., Sun, Y., & Li, Y. (2020, August). Understanding the impact of the COVID-19 pandemic on transportationrelated behaviors with human mobility data. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 3443-3450). DOI: 10.1145/3394486.3412856
  7. Campos-Vazquez, R. M., & Esquivel, G. (2021). Consumption and geographic mobility in pandemic times. Evidence from Mexico. Review of Economics of the Household, 1-19. DOI: 10.1007/s11150-020-09539-2
  8. Micheli, D., Muratore, G., Vannelli, A., & Sola, G. (2020). Un modello dinamico su un approccio Big- Data alla mobilità per lo studio della diffusione del COVID-19 nel nord Italia, Notiziario tecnico n.1-2020.
  9. Buckee, C. O., Balsari, S., Chan, J., Crosas, M., Dominici, F., Gasser, U., ... & Schroeder, A. (2020). Aggregated mobility data could help fight COVID-19. Science (New York, NY), 368(6487), 145-146. DOI: 10.1126/science.abb8021
  10. Oliver, N, Lepri, B, Sterly, H, et al.(2020). Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. Science Advances 6(23): eabc0764 DOI: 10.1126/sciadv.abc0764
  11. Kitchin, R. (2014). Big Data, new epistemologies and paradigm shifts. Big data & society, 1(1). DOI: 10.1177/2053951714528481
PDF
  • Publication Year: 2022
  • Pages: 72-95
  • Content License: CC BY 4.0
  • © 2022 Author(s)

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  • Publication Year: 2022
  • Content License: CC BY 4.0
  • © 2022 Author(s)

Chapter Information

Chapter Title

I dati delle piattaforme durante la crisi da COVID-19

Authors

Antonello Romano

Language

Italian

DOI

10.36253/978-88-5518-602-5.06

Peer Reviewed

Publication Year

2022

Copyright Information

© 2022 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

La geografia delle piattaforme digitali

Book Subtitle

Mappe, spazi e dati dell’intermediazione digitale

Authors

Antonello Romano

Peer Reviewed

Publication Year

2022

Copyright Information

© 2022 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/978-88-5518-602-5

eISBN (pdf)

978-88-5518-602-5

eISBN (xml)

978-88-5518-603-2

Series Title

Strumenti per la didattica e la ricerca

Series ISSN

2704-6249

Series E-ISSN

2704-5870

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