FiscalCovid: exercendo o controle social na temática da COVID-19
Resumo
The COVID-19 pandemic had substantial impacts on society, both socially and economically, with devastating impacts on our country. Aiming at assisting on coping with such pandemic and providing relevant information for society on matters such as the portion of the population under quarantine, details on philanthropic institutions and the location of health Units, we developed FiscalCovid. Using geoprocessing and crowdsourcing techniques, this system enables the social control as a support tool for the battle against COVID-19.
Referências
Z. Peng, R. Wang, L. Liu, H. Wu. Exploring Urban Spatial Features of COVID-19 Transmission in Wuhan Based on Social Media Data. ISPRS Int. J. Geo Inf. 9(6): 402 (2020)
U. Qazi, M. Imran, F. Ofli. GeoCoV19: a dataset of hundreds of millions of multilingual COVID-19 tweets with location information. ACM SIGSPATIAL Special 12(1): 6-15 (2020)
A. Züfle. Introduction to this special issue: Modeling and understanding the spread of COVID-19: (part I). ACM SIGSPATIAL Special 12(1): 1-2 (2020)
W. Naudé. Artificial intelligence vs COVID-19: limitations, constraints and pitfalls. AI Soc. 35(3): 761-765 (2020)
A. A. Hussain, O. Bouachir, F. Al-Turjman, M. Aloqaily. AI Techniques for COVID-19. IEEE Access 8: 128776-128795 (2020)
T. R. Coelho, M. A. Cunha, M. Pozzebon. eParticipation and the policy cycle: Designing a research agenda. DG.O 2017: 368-376
A. G. R. Falcão, P. F. Wanderley, T. H. S. Leite, C. S. Bapista, J. E. R. de Queiroz, M. G. de Oliveira, J. H. Rocha. Crowdsourcing Urban Issues in Smart Cities: a Usability Assessment of the Crowd4City System. 10.1007/978-3-030-27523-5_11 (2019)
U. Qazi, M. Imran, F. Ofli. GeoCoV19: a dataset of hundreds of millions of multilingual COVID-19 tweets with location information. ACM SIGSPATIAL Special 12(1): 6-15 (2020)
A. Züfle. Introduction to this special issue: Modeling and understanding the spread of COVID-19: (part I). ACM SIGSPATIAL Special 12(1): 1-2 (2020)
W. Naudé. Artificial intelligence vs COVID-19: limitations, constraints and pitfalls. AI Soc. 35(3): 761-765 (2020)
A. A. Hussain, O. Bouachir, F. Al-Turjman, M. Aloqaily. AI Techniques for COVID-19. IEEE Access 8: 128776-128795 (2020)
T. R. Coelho, M. A. Cunha, M. Pozzebon. eParticipation and the policy cycle: Designing a research agenda. DG.O 2017: 368-376
A. G. R. Falcão, P. F. Wanderley, T. H. S. Leite, C. S. Bapista, J. E. R. de Queiroz, M. G. de Oliveira, J. H. Rocha. Crowdsourcing Urban Issues in Smart Cities: a Usability Assessment of the Crowd4City System. 10.1007/978-3-030-27523-5_11 (2019)
Publicado
30/11/2020
Como Citar
BAPTISTA, Cláudio de S.; FALCÃO, Ana Gabrielle R. ; RAMALHO, Rich E. C. ; CUNHA, Mateus Q. ; OLIVEIRA, Aillkeen B. ; ROCHA, Júlio H. ; ALMEIDA, Damião Ribeiro de.
FiscalCovid: exercendo o controle social na temática da COVID-19. 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. 137-141.
ISSN 2596-1683.
DOI: https://doi.org/10.5753/webmedia_estendido.2020.13077.
