Rastreia Saúde:一个基于开放非结构化数据和GIS的时空疾病跟踪系统

Q4 Social Sciences
L. H. A. Cardim, N. P. Kozievitch
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引用次数: 0

摘要

自动化疾病追踪已经成为当今越来越重要的工具。本文描述了巴西境内疾病追踪系统的原型,在帕拉纳州一级和库里提巴市一级进行了初步测试。本研究旨在从新闻门户网站中提取的非结构化数据中提取并呈现健康领域的相关信息。该系统生成的数据允许在不同的粒度级别上进行分析,从小型城市到国家级别。研究结果表明了该系统的可行性,并允许作者在处理后的数据中识别出一些模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rastreia Saúde: A Spatiotemporal Disease Tracking System through Open Unstructured Data and GIS
Automated disease tracking has become an increasingly important tool today. This article describes the prototype of a disease tracking system for the Brazilian territory, preliminarily tested at the state level, in Paraná, and at the municipal level, in Curitiba. This study aims to extract and present relevant information in the health segment from unstructured data, extracted from news portals. The system generates data that allows analysis at different levels of granularity, from small municipalities to the national level. The results of the study shows the viability of the system and allows the authors to identify some patterns in the processed data.
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来源期刊
Revista Brasileira de Cartografia
Revista Brasileira de Cartografia Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
0.70
自引率
0.00%
发文量
37
审稿时长
16 weeks
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