DESIGN AND IMPLEMENTATION OF A COLLABORATIVE PLATFORM MODEL FOR EPIDEMIC AND COLLECTIVE HEALTH SERVICES

Abstract

The aggregation and visualization of data are part of one of the most important fields of Data Science’s application today. This class of tools evidences its importance in the area of public health, especially in the context of epidemics and pandemics. However, there are several issues in accessing reliable data, such as diverse sources, economic interests, and technical difficulties. This work proposes and explores the technological choices for the implementation of a system in which, collaboratively, users provide health information, which are made available through panels with scalability in access and flexibility in the analysis, allowing a macro view of the situation. Also, with the use of these visualizations and mobile application technologies, users can take advantage of services such as monitoring health status and sending alerts of emergency situations.