Monitoring Pandemics, using Sensor Data from Smart Ecosystems

Abstract

In recent decades, new solutions, shaping smart city architecture. Data generated by healthcare and smart devices infiltrate into smart city solutions. This topic is heavily challenging and rapidly evolving. The constant and fast change in the subject technologies that implement an architecture and the sensitivity of data from human sources can be seen as key factors in these challenges. In this research, we have tried to present some possibilities that are obtainable by smart city solutions, in such a way, that they can be used effectively, by healthcare during a pandemic. Research focuses on how data from wearable devices can be collected and used, how these can be integrated into the ecosystem of smart cities, and how data can be used in health care. Access to health-related and personal data is regulated by the General Data Protection Regulation, which made the architecture use a high level of abstraction business definition and extensibility. The envisioned features of the above- mentioned architecture rely solely on the disciplinary areas of service-oriented architecture and component-oriented development methodologies. The described smart ecosystem offers the possibility of cognitive supplementation of human capabilities based on general bio- sensor data. It illustrates an example of use, for a healthcare workflow, where service abstraction plays a key role.