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

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Artificial Intelligence in Medicine (AIME 2022)

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

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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.

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Notes

  1. 1.

    See www.periscopeproject.eu for further details.

  2. 2.

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

References

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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
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  2. Cristiana Larizza
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  3. Vladimir Urosevic
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  4. Andrea Pogliaghi
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  5. Manuel Ottaviano
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  6. Cindy Cheng
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  7. Vincent Benoit
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  8. Daniele Pala
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  9. Vittorio Casella
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  10. Riccardo Bellazzi
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  11. Paolo Giudici
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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

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

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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

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

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-09341-8

  • Online ISBN: 978-3-031-09342-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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