COVID-19 Borescope: uma ferramenta intuitiva, escalável e flexível para compreender e correlacionar padrões de mobilidade da população e casos de infecção

  • Antonio A. de A. Rocha UFF
  • Nilson L. Damasceno UFF
  • Peron R. de Sousa UFF


Lack of physical distancing, isolation, and social interactions are some of the key factors that have contributed to the spread of COVID-19 and transformed it into this global pandemic. Combining and correlating human mobility with the COVID-19 cases being reported may help to determine possible hotspots. Further, it may also help to provide guidance on how to possibly make lifestyle changes and choices to avert/limit future waves of this pandemic or a similar one. This project aims to cope with the research problems involved in the development of a graphical and interactive tool that performs intelligent data analysis of visually selected geo-temporal subsets of collected information. As a result of the project, it was launched the COVID-19 Borescope, which is shown in Figure 1.


Abdulkadir Atalan. 2020. Is the lockdown important to prevent the COVID-19pandemic? Eff ects on psychology, environment and economy-perspective. Annals of Medicine and Surgery 56 (2020), 38–42.

Timm Boettger, Ghida Ibrahim, and Ben Vallis. 2020. How the Internet reacted to Covid-19. In Proceedings of Internet Measurement Conference (IMC).

Emily Chen, Kristina Lerman, and Emilio Ferrara. 2020. Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set. JMIR Public Health and Surveillance 6, 2 (2020), e19273.

Nilson L. Damasceno. 2020. Tinycubes: Tecnologia modular para exploração visual e interativa de grandes volumes de dados espaço-temporais multidimensionais geradoscontinuamente. Master’s thesis. Programa de Pós-graduação em Computação -Universidade Federal Fluminense.

Anja Feldmann, Oliver Gasser, Franziska Lichtblau, Enric Pujol, Ingmar Poese, Christoph Dietzel, Daniel Wagner, Matthias Wichtlhuber, Juan Tapidor, Narseo Vallina-Rodriguez, et al. 2020. The Lockdown Effect: Implications of the COVID-19 Pandemic on Internet Traffic. In Proceedings of Internet Measurement Conference(IMC).

R. A. Finkel and J. L. Bentley. 1974. Quad trees a data structure for retrieval on composite keys. Acta Informatica 4, 1 (1974), 1–9.

J. Gray, A. Bosworth, A. Lyaman, and H. Pirahesh. 1996. Data cube: a relational aggregation operator generalizing GROUP-BY, CROSS-TAB, and SUB-TOTALS. In Proceedings of the Twelfth International Conference on Data Engineering. 152–159.

L. Lins, J. T. Klosowski, and C. Scheidegger. 2013. Nanocubes for Real-Time Exploration of Spatiotemporal Datasets. IEEE Transactions on Visualization and Computer Graphics 19, 12 (2013), 2456–2465.

Andra Lutu, Diego Perino, Marcelo Bagnulo, Enrique Frias-Martinez, and Javad Khangosstar. 2020. A Characterization of the COVID-19 Pandemic Impact on a Mobile Network Operator Traffic. In Proceedings of Internet Measurement Conference.

Amee Trivedi, Camellia Zakaria, Rajesh Balan, and Prashant Shenoy. 2020. WiFi-Trace: Network-based Contact Tracing for Infectious Diseases Using Passive WiFi Sensing. arXiv preprint arXiv:2005.12045 (2020).

Camellia Zakaria, Amee Trivedi, Michael Chee, Prashant Shenoy, and Rajesh Balan. 2020. Analyzing the Impact of Covid-19 Control Policies on Campus Occupancy and Mobility via Passive WiFi Sensing. arXiv preprint arXiv:2005.12050(2020).
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ROCHA, Antonio A. de A.; DAMASCENO, Nilson L. ; SOUSA, Peron R. de. COVID-19 Borescope: uma ferramenta intuitiva, escalável e flexível para compreender e correlacionar padrões de mobilidade da população e casos de infecção. In: WORKSHOP DE FERRAMENTAS E APLICAÇÕES - SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 26. , 2020, São Luís. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 125-129. ISSN 2596-1683. DOI: