The aim of the paper is checking the hypothesis on the linking between consequences of pandemic lockdown and air pollution, public health, and economic growth. Materials and methods: for prediction and modelling of the pandemic lockdown’s impact on the air pollution, health, and economic growth with the system dynamics analysis and software Vensim; for the analysis, the authors used the methods as follows: bibliometric analysis with Scopus Tools Analysis and software VOSviewer. Results: The findings confirmed that the current rate of infected from growing disease was 11%. If quarantine continues the rate of infected from the growing disease will be 15%. If the quarantine cancels the rate of infected from the growing disease will be 5%, and the declining of GDP increment will be higher, than in scenario with quarantine. Conclusions: The findings confirmed the hypothesis that lockdown has the negative impact on the economic, social, and ecological growth of the country. At the same time, in the case, if the government cancel the quarantine, the declining of GDP increment will be higher, and the rate of infected from the growing disease will be the highest – 15%. In this case, the government should provide the quarantine regime and strengthen the control of the compliance.

The aim: To form a methodological basis for assessing socio-economic trends in operation of the labor market in the health care. Materials and methods: The article analyzes the scientific methods of the investigation the labor market, determines their main advantages and disadvantages. The proposed model is based on the evaluation of supply and demand for the vocational medical professionals. Both for all indicators, the study initially set the calculation base and then this parameter was multiplied by a number of correction determinants. Conclusions: The market of the vocational medical professionals became the most influenced from the pandemic tendencies. The list and scope of educational services providedby regional vocational educational institutions should clearly correspond to the needs of regional level in the condition of the pandemic COVID-19.

The aim: Is to build a forecast of the COVID-19 disease course, considering the vaccination of the population from particular countries. Materials and methods: Based on the analysis of statistical data, the article deals with the topical issue of the impact made by vaccination on the prevention of the COVID-19 pandemic. The time series, showing the dynamics of changes in the number of infected in Chile, Latvia, Japan, Israel, Australia, Finland, India, United States of America, New Zealand, Czech Republic, Venezuela, Poland, Ukraine, Brazil, Georgia for the period 07.08. 2020–09.09.2021, are analyzed. Trend-cyclic models of time series are obtained using fast Fourier transform. The predicted values of the COVID-19 incidence rate for different countries in the period from September 10, 2021 to February 2, 2022 were calculated using the constructed models. Results and conclusions: The results of the study show that vaccination of the population is one of the most effective methods to prevent the COVID-19 pandemic. The proposed method of modeling the dynamics of the incidence rate based on statistical data can be used to build further predictions of the incidence rate dynamics. The study of behavioral aspects of trust in vaccination is proposed to be conducted within the theory regarding the self-organization of complex systems.

Introduction: Medical-demographic processes are one of the main signs of life quality, the level of socio-economic development of society. The aim of the work is to compare and evaluate the medical-demographic processes in the two neighboring regions of neighboring countries, due to their geographical proximity, the ratio of the size of the territories and the population. Materials and methods: The study was conducted on the basis of official statistics published by the State Statistics Service of Ukraine and the Main Department of Statistics in Poland, the depth of the research - 2008-2017, the scope of the study - Lviv region of Ukraine and the Podkarpackie region of Poland. The system approach, demographicand medical-statistical methods were used in the work. Review: In both territories the population aging is going on, illustrated by indicators such as the age structure of the population, the level of demographic load and the average age of the population. Data on population reproduction in both regions is narrowed, indicating a prevalence of mortality over births. The average life expectancy in the Podkarpackie region is higher and has a tendency for further growth. In the Lviv oblast, the average life expectancy is also growing, due to the positive trend towards a decrease in overall mortality, but is offset by a decline in fertility and high infant mortality and mortality rates, especially from circulatory system pathology. Conclusions: The analysis of our 10 indicators showed the heterogeneity of medical and demographic processes in the two neighboring regions of neighboring countries, despite their geographical proximity, the ratio of the size of the territories and the population. KEY WORDS: medical-demographic processes, population. Wiad Lek 2019, 72, 5 cz. I, -

The aim is to develop an integrated indicator that characterizes the degree of satisfaction of the population with medical services. Materials and methods: integrated indicator was formed in terms of three stages for 24 regions of Ukraine and Kyiv. At the first stage, the expediency of using five influential groups of input indicators (behavioral, physical, economic, social and legal orientation) with a total of 59 features using descriptive modeling is substantiated. At the second stage, canonical correlation models were developed for the most correlated complex features, which form an indicator of the population satisfaction degree with the received medical services: physical condition features, social and behavioral orientation qualities. The third stage of factor modeling (using orthogonal transformation methods Varimax, Quartimax and Equimax) allowed identifying the five most influential factors for the formation of an integrated indicator and the development of econometric models for the healthcare state. Results: the necessity to improve the medical service quality and innovation in healthcare reform is confirmed since there were no regions where citizens were fully satisfied with the medical service level. The population of most Ukrainian regions (76% of regions), including Kyiv, is rather dissatisfied with the received medical services. Conclusions: the study results provide ample opportunities for healthcare workers, medical professionals, and public authorities to ensure quality and timely adjustment of existing rules and regulations within the Health Care Reform, improving the level of public satisfaction with the received medical services, and the immediate improvement of the nation’s health.