[go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

The PERISCOPE Data Atlas: A Demonstration of Release v1.2

  • Conference paper
  • First Online:
Artificial Intelligence in Medicine (AIME 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13263))

Included in the following conference series:

Abstract

The Data Atlas is the centerpiece of the PERISCOPE project’s data-driven research. The Atlas constitutes a centralized access point for the exploration, visualization and analysis of the original data produced by PERISCOPE partners, integrated with the most relevant information about the COVID-19 pandemic and its effects on health, economics, policy-making, and society at large. The Atlas interfaces and tools make such data readily available to the research community, decision makers and the general public, providing the means to amplify its reach and impact. The present demo, showcases the features of v1.2 release of the Atlas, 18 months from the project kick-off, and some of the planned enhancements to be delivered until project month 24.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    See www.periscopeproject.eu for further details.

  2. 2.

    See https://bit.ly/3vzXZ3H.

References

  1. Cheng, C., Barceló, J., Hartnett, A.S., et al.: COVID-19 government response event dataset (CoronaNet v.1.0). Nat. Hum. Behav. 4(7), 756–768 (2020)

    Article  Google Scholar 

  2. Hale, T., Angrist, N., Goldszmidt, R., et al.: A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat. Hum. Behav. 5(4), 529–538 (2021)

    Article  Google Scholar 

  3. Kubinec, R., Barceló, J., Goldszmidt, R., at al., Statistically validated indices for COVID-19 public health policies. Statistically validated indices for COVID-19 public health policies. SocArXiv. (2021)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Pavia, Pavia, Italy

    Enea Parimbelli, Cristiana Larizza, Daniele Pala, Vittorio Casella, Riccardo Bellazzi & Paolo Giudici

  2. Belit doo, Belgrade, Serbia

    Vladimir Urosevic

  3. GeneGIS GI, Milan, Italy

    Andrea Pogliaghi

  4. Universidad Politecnica de Madrid, UPM, Madrid, Spain

    Manuel Ottaviano

  5. Technical University of Munich, Munich, Germany

    Cindy Cheng

  6. Assistance Publique Hospitaux de Parix, APHP, Paris, France

    Vincent Benoit

Authors
  1. Enea Parimbelli
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Cristiana Larizza
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Vladimir Urosevic
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Andrea Pogliaghi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Manuel Ottaviano
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Cindy Cheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Vincent Benoit
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Daniele Pala
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Vittorio Casella
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Riccardo Bellazzi
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Paolo Giudici
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Enea Parimbelli .

Editor information

Editors and Affiliations

  1. University of Minnesota, Minneapolis, MN, USA

    Martin Michalowski

  2. Dalhousie University, Halifax, NS, Canada

    Syed Sibte Raza Abidi

  3. Dalhousie University, Halifax, NS, Canada

    Samina Abidi

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Parimbelli, E. et al. (2022). The PERISCOPE Data Atlas: A Demonstration of Release v1.2. In: Michalowski, M., Abidi, S.S.R., Abidi, S. (eds) Artificial Intelligence in Medicine. AIME 2022. Lecture Notes in Computer Science(), vol 13263. Springer, Cham. https://doi.org/10.1007/978-3-031-09342-5_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-09342-5_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-09341-8

  • Online ISBN: 978-3-031-09342-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation