An IoT system based on open APIs and geolocation for human health data analysis

Development of applications based on open API is becoming increasingly popular today. Innovative projects using these technologies provide new opportunities for real-time human health monitoring. Such opportunities are also implemented using Internet of Things (IoT), artificial intelligence (AI) and cloud computing technologies. In the study, we developed an application based on open APIs using smart gadgets and meteorological geographic information system in the process of generating a message about the dangers to human health associated with: the presence of pollen in the air (grass pollen, birch pollen and olive pollen) indicating the level of its concentration in the air;problems with air quality, if the air quality indicator exceeds the permissible standards. The addition of such functions expands the possibilities to provide timely information about potential risks and threats and, accordingly, is an "anthropo-geo-sensor-digital"prerequisite for effective decision-making, prevailing. The implementation of this IoT system has significant methodological and technological potential that can be used to improve the efficiency of Healthcare, both in extreme conditions and in conditions of sustainable existence. First of all, this is relevant during and after the COVID-19 pandemic. The system we have developed can also be seen as one of the ways to innovate in Healthcare, in the educational process in institutions of higher education and in further scientific research on this topic. Further research in this area may be related to data processing in Healthcare systems based on machine learning, deep learning. © 2023 Copyright for this paper by its authors.

Development of the health-preserving competence of a physical education teacher based on the knowledge about influenza and bronchitis prevention

The article presents the methodology and methods of improving the health-preserving competence of a Physical Education teacher under conditions of postgraduate education based on the knowledge of prevention of acute bronchitis, COVID-19 influenza and acute respiratory diseases. The "Disciplinary and methodological matrix of health -preserving competence of a Physical Education teacher" is used, which includes such developed "integrated disciplines" as Pathopedagogy, Propaedeutics of Health and Health Therapy. The matrix is aimed at professionalisation, methodologisation, technologisation, anthropologisation, axiologisation of the health -preserving competence of a teacher. The "Methodology of developing health -preserving competence of a Physical Education teacher based on the knowledge of prevention of acute bronchitis, influenza and acute respiratory diseases" is used. The methodology is based on the competence approach, the above-mentioned matrix, problem-based and flipped learning, andragogy, game, maieutic and dialogic methods, the use of pedagogical tasks, the Hellenistic concept of "self-care" and others. In this methodology, knowledge, values and practical health -preserving strategies are hierarchised with the singling out of three levels A, B and C. Level A is obligatory, and levels B and C are given less attention. An experimental study was conducted the result of which determined the effectiveness of this method. These methodology and method are humanistic and ecocentric and consistent with the ideas and sustainable development goals.