RESUMEN
The paper presents a formal model and based on its software solution for monitoring and analysis of state social-economic sustainability parameters. Initial data is taken from open sources available on the Internet. The model provides a basis for statistical analysis of the mutual influence of factors and hidden patterns. Social well-being is calculated based on the use of neural network models of message processing. The proposed model is implemented as a software package with a graphical interface for practical application in assessing the effects of ongoing or planned activities of national and regional projects. Practical results of its probation and testing were received in the regional health monitoring and management. Initial data included the morbidity growth statistics concerned with coronavirus infection circulation in 2020 and 2021 taken from online open data sources. Monitoring and simulation results allowed generating recommendations of the regional health care system development and provide reasonable decision-making support. The proposed solution can be utilized as a component of an analytical system for social-economic sustainability monitoring and development. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.