Vigilância Entomológica da Dengue, Zika e Chikungunya: Uma Solução Baseada em Redes Sociais e Dispositivos Móveis
Abstract
Dengue, Chikungunya and Zika are one of the major public health problems in the world (OMS). The use of mobile, Internet and social networks grows day by day. Thus, they offer a simple interaction way that enables a faster society mobilization to combat the vector of those diseases (Aedes Aegypti mosquito). This paper describes a technology solution (Vaza Dengue) developed to allow the society to notify and see in real time cases of Dengue outbreaks. Doing social media data mining, the system shows the situation of the outbreaks and other information correlated to the mosquito.
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Blei, D. M.; Ng, A. Y.; and Jordan, M. I. 2003. Latent Dirichlet Allocation. J. Mach. Learn. Res. 3:993–1022.
Boletim Epidemiológico Secretaria de Vigilância em Saúde − Ministério da Saúde – Brasil, consultado em 08/03/2016, http://portalsaude.saude.gov.br/images/pdf/2016/fevereiro/29/2016-006---Dengue-SE5-publica----o.pdf
M. S. Gerber, “Predicting crime using Twitter and kernel density estimation,” Decis. Support Syst., vol. 61, pp. 115–125, 2014.
A. Go, R. Bhayani, and L. Huang, “Twitter sentiment classification using distant supervision,” CS224N Proj. Report, Stanford, vol. 1, no. 12, 2009.
J. Gomide, A. Veloso, W. Meira, V. Almeida, F. Benevenuto, F. Ferraz, and M. Teixeira, “Dengue surveillance based on a computational model of spatio-temporal locality of Twitter,” Proc. ACM WebSci’11, June 14-17 2011, Koblenz, Ger., pp. 1–8, 2011.
S. B. Kotsiantis, “Supervised Machine Learning: A Review of Classification Techniques”. Proc. Emerging Artificial Intelligence Applications in Computer Enginnering, pp 3-24, 2007
V. Lampos and N. Cristianini, “Tracking the flu pandemic by monitoring the social web,” 2010 2nd Int. Work. Cogn. Inf. Process. CIP2010, 2010.
Organização Pan-Americana de Saúde, consultado em 08/03/2016 http://www.paho.org/bra/index.php?option=com_content&view=article&id=5015:relatoriode-situacao-sobre-Zika-da-oms-aponta-transmissao-local-do-virus-em-47-paises&Itemid=816
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Ramage, D.; Dumais, S. T.; and Liebling, D. J. 2010. Char- acterizing Microblogs with Topic Models. ICWSM 10:1.
Published
2016-07-04
How to Cite
FIORINI, Soeli; SOUSA, Leonardo; CEDRIM, Diego; GARCIA, Alessandro; SAADE, Débora; MORAES, Igor; FRAJHOF, Leonardo.
Vigilância Entomológica da Dengue, Zika e Chikungunya: Uma Solução Baseada em Redes Sociais e Dispositivos Móveis. In: BRAZILIAN SYMPOSIUM ON COMPUTING APPLIED TO HEALTH (SBCAS), 16. , 2016, Porto Alegre.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2016
.
p. 2567-2576.
ISSN 2763-8952.
DOI: https://doi.org/10.5753/sbcas.2016.9903.
