IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v13y2021i2p45-d498271.html
   My bibliography  Save this article

Dashboard COMPRIME_COMPRI_MOv: Multiscalar Spatio-Temporal Monitoring of the COVID-19 Pandemic in Portugal

Author

Listed:
  • Nuno Marques da Costa

    (Institute of Geography and Spatial Planning, Universidade de Lisboa, 1600-276 Lisbon, Portugal)

  • Nelson Mileu

    (Institute of Geography and Spatial Planning, Universidade de Lisboa, 1600-276 Lisbon, Portugal)

  • André Alves

    (Institute of Geography and Spatial Planning, Universidade de Lisboa, 1600-276 Lisbon, Portugal)

Abstract

Due to its novelty, the recent pandemic of the coronavirus disease (COVID-19), which is associated with the spread of the new severe acute respiratory syndrome coronavirus (SARS-CoV-2), triggered the public’s interest in accessing information, demonstrating the importance of obtaining and analyzing credible and updated information from an epidemiological surveillance context. For this purpose, health authorities, international organizations, and university institutions have published online various graphic and cartographic representations of the evolution of the pandemic with daily updates that allow the almost real-time monitoring of the evolutionary behavior of the spread, lethality, and territorial distribution of the disease. The purpose of this article is to describe the technical solution and the main results associated with the publication of the COMPRIME_COMPRI_MOv dashboard for the dissemination of information and multi-scale knowledge of COVID-19. Under two rapidly implementing research projects for innovative solutions to respond to the COVID-19 pandemic, promoted in Portugal by the FCT (Foundation for Science and Technology), a website was created. That website brings together a diverse set of variables and indicators in a dynamic and interactive way that reflects the evolutionary behavior of the pandemic from a multi-scale perspective, in Portugal, constituting itself as a system for monitoring the evolution of the pandemic. In the current situation, this type of exploratory solutions proves to be crucial to guarantee everyone’s access to information while simultaneously emerging as an epidemiological surveillance tool that is capable of assisting decision-making by public authorities with competence in defining control policies and fight the spread of the new coronavirus.

Suggested Citation

  • Nuno Marques da Costa & Nelson Mileu & André Alves, 2021. "Dashboard COMPRIME_COMPRI_MOv: Multiscalar Spatio-Temporal Monitoring of the COVID-19 Pandemic in Portugal," Future Internet, MDPI, vol. 13(2), pages 1-17, February.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:2:p:45-:d:498271
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/13/2/45/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/13/2/45/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kourtit, Karima & Nijkamp, Peter, 2018. "Big data dashboards as smart decision support tools for i-cities – An experiment on stockholm," Land Use Policy, Elsevier, vol. 71(C), pages 24-35.
    2. Changfeng Jing & Mingyi Du & Songnian Li & Siyuan Liu, 2019. "Geospatial Dashboards for Monitoring Smart City Performance," Sustainability, MDPI, vol. 11(20), pages 1-23, October.
    3. Yigitbasioglu, Ogan M. & Velcu, Oana, 2012. "A review of dashboards in performance management: Implications for design and research," International Journal of Accounting Information Systems, Elsevier, vol. 13(1), pages 41-59.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Somnath Chaudhuri & Gerard Giménez-Adsuar & Marc Saez & Maria A. Barceló, 2022. "PandemonCAT: Monitoring the COVID-19 Pandemic in Catalonia, Spain," IJERPH, MDPI, vol. 19(8), pages 1-22, April.
    2. Ekaterina Ignatenko & Manuel Ribeiro & Mónica D. Oliveira, 2022. "Informing the Design of Data Visualization Tools to Monitor the COVID-19 Pandemic in Portugal: A Web-Delphi Participatory Approach," IJERPH, MDPI, vol. 19(17), pages 1-18, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Changfeng Jing & Mingyi Du & Songnian Li & Siyuan Liu, 2019. "Geospatial Dashboards for Monitoring Smart City Performance," Sustainability, MDPI, vol. 11(20), pages 1-23, October.
    2. Duggal, Angel Swastik & Singh, Rajesh & Gehlot, Anita & Gupta, Lovi Raj & Akram, Sheik Vaseem & Prakash, Chander & Singh, Sunpreet & Kumar, Raman, 2021. "Infrastructure, mobility and safety 4.0: Modernization in road transportation," Technology in Society, Elsevier, vol. 67(C).
    3. Peters, Matt D. & Wieder, Bernhard & Sutton, Steve G. & Wakefield, James, 2016. "Business intelligence systems use in performance measurement capabilities: Implications for enhanced competitive advantage," International Journal of Accounting Information Systems, Elsevier, vol. 21(C), pages 1-17.
    4. Rikhardsson, Pall & Yigitbasioglu, Ogan, 2018. "Business intelligence & analytics in management accounting research: Status and future focus," International Journal of Accounting Information Systems, Elsevier, vol. 29(C), pages 37-58.
    5. Dilla, William N. & Raschke, Robyn L., 2015. "Data visualization for fraud detection: Practice implications and a call for future research," International Journal of Accounting Information Systems, Elsevier, vol. 16(C), pages 1-22.
    6. Kocsis, David, 2019. "A conceptual foundation of design and implementation research in accounting information systems," International Journal of Accounting Information Systems, Elsevier, vol. 34(C), pages 1-1.
    7. Hutchison, Paul D. & Daigle, Ronald J. & George, Benjamin, 2018. "Application of latent semantic analysis in AIS academic research," International Journal of Accounting Information Systems, Elsevier, vol. 31(C), pages 83-96.
    8. Cagliano, Anna Corinna & Mustafa, Muhammad Salman & Rafele, Carlo & Zenezini, Giovanni, 2014. "Logistics Performance Measurement for Sustainability in the Fast Fashion Industry," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Next Generation Supply Chains: Trends and Opportunities. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 18, volume 18, pages 113-135, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    9. Olszewski, Robert & Wendland, Agnieszka, 2021. "Digital Agora – Knowledge acquisition from spatial databases, geoinformation society VGI and social media data," Land Use Policy, Elsevier, vol. 109(C).
    10. Davood Askarany & Hassan Yazdifar, 2018. "The Diffusion of Balanced Scorecard from the Perspective of Adopters: Evidence from Australia," Review of Economics & Finance, Better Advances Press, Canada, vol. 14, pages 71-82, November.
    11. Behn, Oliver & Leyer, Michael & Iren, Deniz, 2024. "Employees’ acceptance of AI-based emotion analytics from speech on a group level in virtual meetings," Technology in Society, Elsevier, vol. 76(C).
    12. Fang‐Li Ruan & Liang Yan, 2022. "Challenges facing indicators to become a universal language for sustainable urban development," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(1), pages 41-57, February.
    13. Eduardo Graells-Garrido & Vanessa Peña-Araya & Loreto Bravo, 2020. "Adoption-Driven Data Science for Transportation Planning: Methodology, Case Study, and Lessons Learned," Sustainability, MDPI, vol. 12(15), pages 1-17, July.
    14. Reinking, Jeff & Arnold, Vicky & Sutton, Steve G., 2020. "Synthesizing enterprise data through digital dashboards to strategically align performance: Why do operational managers use dashboards?," International Journal of Accounting Information Systems, Elsevier, vol. 37(C).
    15. PH.D. Teodora Maria SUCIU (AVRAM), 2019. "Dashboard - Tool For Improving Financial Performance For Entities In The Romanian Clothing Industry," Management Strategies Journal, Constantin Brancoveanu University, vol. 45(3), pages 109-117.
    16. Karima Kourtit & Bart Neuts & Peter Nijkamp & Marie H. Wahlström, 2021. "A Structural Equation Model for Place-based City Love: An Application to Swedish Cities," International Regional Science Review, , vol. 44(3-4), pages 432-465, May.
    17. Rodrigo Tapia-McClung, 2020. "Exploring the Use of a Spatio-Temporal City Dashboard to Study Criminal Incidence: A Case Study for the Mexican State of Aguascalientes," Sustainability, MDPI, vol. 12(6), pages 1-25, March.
    18. Cristina ALPOPI & Stefan Gabriel BURCEA & Ruxandra Irina POPESCU & Sorin BURLACU, 2022. "Evaluation Of Romania'S Progress In Achieving Sdg 11: Sustainable Cities And Communities," APPLIED RESEARCH IN ADMINISTRATIVE SCIENCES, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 3(2), pages 76-87, August.
    19. Lisa Perkhofer & Conny Walchshofer & Peter Hofer, 2020. "Does design matter when visualizing Big Data? An empirical study to investigate the effect of visualization type and interaction use," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(1), pages 55-95, April.
    20. Fábio Albuquerque & Paula Gomes Dos Santos, 2023. "Recent Trends in Accounting and Information System Research: A Literature Review Using Textual Analysis Tools," FinTech, MDPI, vol. 2(2), pages 1-27, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:13:y:2021:i:2:p:45-:d:498271. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.