图 书 馆
基于推特的时空局部性计算模型的登革热监测Dengue surveillance based on a computational model of spatio-temporal locality of Twitter |
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| 课程网址: | http://videolectures.net/acmwebsci2011_gomide_dengue/ |
| 主讲教师: | Janaína Gomide |
| 开课单位: | 米纳斯吉拉斯联邦大学 |
| 开课时间: | 2011-07-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | T[url]itter 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 [url]e analyze ho[url] Dengue epidemic is reflected on T[url]itter and to [url]hat 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 [url]e 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, [url]e verify the high correlation bet[url]een the number of cases reported by official statistics and the number of t[url]eets posted during the same time period (i.e., R2 = 0:9578). A clustering approach [url]as used in order to exploit the spatiotemporal dimension, and the quality of the clusters obtained becomes evident [url]hen they are compared to official data (i.e., RandIndex = 0:8914). As an application, [url]e propose a Dengue surveillance system that sho[url]s the evolution of the dengue situation reported in t[url]eets, [url]hich is implemented in [url][url][url].observatorio.in[url]eb.org.br/dengue/. |
| 关 键 词: | 推特; 时空局部性; 登革热检测 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-10-31：lxf |
| 阅读次数: | 60 |