Research conducted to curb the spread of infectious diseases in cities confirms that technology is making a significant contribution. A significant number of scientific studies analyze the impact of technology on the covid-19 pandemic in various aspects. However, the problems associated with the implementation of monitoring systems based on the Internet of Things are not studied in depth, they are related to the design of systems, their implementation in everyday life. This research provides an up-to-date analysis of how technology is helping to fight infectious diseases. Along with this, we consider the main challenges faced by users of such technologies, namely: privacy, security, scalability, etc. As a result, we can say that related technologies have a significant impact on the detection, tracking and containment of viruses. The organization and movement of a person has a great influence on the frequency of contacts, which, as a result, affects the transmission, spread and persistence of disease-causing pathogens. The search for contact structures of infectious diseases in view of human mobility requires a clear consideration of the spatial and temporal dimensions of pathogen transmission, which depend on the type of pathogen and the method of its transmission, the number of contacts and location. A platform that can help collect and analyze data mainly depends on having access to accurate details about various factors. Therefore, obtaining information is of prime importance for the development of this kind of technological platform. Using advanced technologies and tools such as IoT, remote monitoring devices, GPS, artificial intelligence and data analytics, contact tracing programs can provide an extra layer of protection when it comes to monitoring and controlling people's lives and health. The proposed approach to ensure the effective implementation of the IT platform for monitoring infectious diseases, as well as the formed group of roles. This approach makes it easier to launch the platform, distributing work between assigned roles and reducing the burden on health care resources and other city services.

The concept of creating a multi-level mobile personalized system for fighting viral diseases, in particular Covid-19, was developed. Using the integration of the Internet of Things, Cloud Computing and Big Data technologies, the system involves a combination of two architectures: client-server and publication-subscription. The advantage of the system is the permanent help with viral diseases, namely on communication, information, and medical stages. The smart city concept in the context of viral disease control focuses on the application of Big Data analysis methods and the improvement of forecasting procedures and emergency treatment protocols. Using different technologies, cloud server stores the positioning data obtained from different devices, and the application accesses API to display and analyze the positioning data in real time. Due to the technologies combination, internal and external positioning can be used with a certain accuracy degree, being useful for various medical and emergency situations and analysis and the following processing by other smart city information systems. The result of the given investigation is the development of the conceptual model of multi-level mobile personalized health status monitoring system used for intellectual data analysis, prediction, treatment and prevention of viral diseases such as Covid-19 in modern “smart city”.