{"title":"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","authors":"L. H. A. Cardim, N. P. Kozievitch","doi":"10.14393/rbcv73n4-59881","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":36183,"journal":{"name":"Revista Brasileira de Cartografia","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rastreia Saúde: A Spatiotemporal Disease Tracking System through Open Unstructured Data and GIS\",\"authors\":\"L. H. A. Cardim, N. P. Kozievitch\",\"doi\":\"10.14393/rbcv73n4-59881\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":36183,\"journal\":{\"name\":\"Revista Brasileira de Cartografia\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista Brasileira de Cartografia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14393/rbcv73n4-59881\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Brasileira de Cartografia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14393/rbcv73n4-59881","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Social Sciences","Score":null,"Total":0}
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.