Open AccessRastreia Saúde: A Spatiotemporal Disease Tracking System through Open Unstructured Data and GIS
Author(s) -
Luiz Henrique Anjos Cardim,
Nádia P. Kozievitch
Publication year - 2021
Publication title -
rbc. revista brasileira de cartografia/revista brasileira de cartografia
Language(s) - English
Resource type - Journals
eISSN - 1808-0936
pISSN - 0560-4613
DOI - 10.14393/rbcv73n4-59881
Subject(s) - curitiba , tracking system , computer science , tracking (education) , granularity , state (computer science) , database , geography , data mining , data science , cartography , artificial intelligence , operating system , psychology , pedagogy , philosophy , algorithm , humanities , kalman filter
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.