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Dengue surveillance based on a computational model of spatio-temporal locality of Twitter

Gomide, Janaina and Veloso, Adriano and Meira, Wagner and Almeida, Virgilio and Benevenuto, Fabricio and Ferraz, Fernanda and Teixeira, Mauro (2011) Dengue surveillance based on a computational model of spatio-temporal locality of Twitter. pp. 1-8. In: Proceedings of the ACM WebSci'11, June 14-17 2011, Koblenz, Germany.

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Official URL: http://www.websci11.org/fileadmin/websci/Papers/92_paper.pdf

Abstract

Twitter is a unique social media channel, in the sense that users discuss and talk about the most diverse topics, including their health conditions. In this paper we analyze how Dengue epidemic is re ected on Twitter and to what extent that information can be used for the sake of surveillance. Dengue is a mosquito-borne infectious disease that is a leading cause of illness and death in tropical and subtropical regions, including Brazil. We propose an active surveillance methodology that is based on four dimensions: volume, location, time and public perception. First we explore the public perception dimension by performing sentiment analysis. This analysis enables us to lter out content that is not relevant for the sake of Dengue surveillance. Then, we verify the high correlation between the number of cases reported by ocial statistics and the number of tweets posted during the same time period (i.e., R2 = 0:9578). A clustering approach was used in order to exploit the spatiotemporal dimension, and the quality of the clusters obtained becomes evident when they are compared to ocial data (i.e., RandIndex = 0:8914). As an application, we propose a Dengue surveillance system that shows the evolution of the dengue situation reported in tweets, which is implemented in www.observatorio.inweb.org.br/dengue/.

Item Type:Conference or Workshop Item (Paper)
Web Science Comments:WebSci Conference 2011
Subjects:WS9 Sociology > WS93 Social Networks
WS1 Computer Science > WS12 Decentralized Information Systems
Web Science Events > Web Science 2011
ID Code:429
Deposited By: Lisa Sugiura
Deposited On:07 Jun 2011 16:53
Last Modified:25 Oct 2011 17:10

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