Infovis na Pandemia

Authors

  • Lucia Vilela Leite Filgueiras Universidade de São Paulo
  • Leandro Manuel dos Reis Velloso Universidade de São Paulo
  • Johne Marcus Jarske Universidade de São Paulo
  • Luiz Sérgio de Souza Universidade de São Paulo

DOI:

https://doi.org/10.5753/compbr.2020.42.4453

Keywords:

COVID-19, Pandemia, Infovis

Abstract

O artigo discute o suporte da ferramenta Infovis na visualização de informações durante a pandemia da Covid-19.

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Referências

CAIRO, A. How Charts Lie: Getting Smarter about Visual Information. EUA: W. W. Norton & Company, 2019.

JOSHI, A.; THORPE, L.; WALDRON, L. Population Health INFORMATICS. 1. ed. Michael Brown, 2017

MAKULEC, A. Ten Considerations Before You Create Another Chart About COVID-19. Medium Nightingale online. 2020.

ROSENFELD, A.; RICHARDSON, A. Explainability in human-agent systems. Autonomous Agents and Multi-Agent Systems, v. 33, 2019.

SARIKAYA, A. et al. What do we talk about when we talk about dashboards? IEEE Transactions on Visualization and Computer Graphics, v. 25, n. 1, p. 682–692, 2019.

SUBRAMANIAN, S. S. et al. Explainable Visualization of Collaborative Vandal Behaviors in Wikipedia. 2019 IEEE VizSec. Anais...IEEE, out. 2019.

WANG, C. J.; NG, C. Y.; BROOK, R. H. Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing. Journal of the American Medical Association. 2020.

ZAKKAR, M.; SEDIG, K. Interactive visualization of public health indicators to support policymaking: An exploratory study. Online journal of public health informatics, v. 9, n. 2, p. e190, 201.

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Published

2020-09-01

Como Citar

Filgueiras, L. V. L., Velloso, L. M. dos R., Jarske, J. M., & Souza, L. S. de. (2020). Infovis na Pandemia. Computação Brasil, 42(42), 33–36. https://doi.org/10.5753/compbr.2020.42.4453

Issue

No. 42 (2020)

Section

Artigos

Licença

Creative Commons License

Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial 4.0 International License.