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The introduction of various technologies for the prevention of chronic viral infections into practice requires well-founded evidence of their effectiveness, which can be obtained using pharmacoeconomic methods and models that determine not only the effectiveness and feasibility of introducing preventive technologies, but also the socio-economic associated consequences. In this context, the development of a unified model for the pharmacoeconomic evaluation of medical technologies at all stages of the prevention of chronic viral infections is key to implementing optimal strategies for combating them for both individual groups and the entire population, developing recommendations for the rational use of diagnostic tests and viral vaccines, and determining the optimal level of pharmaceutical care for patients. The aim of the work – development of a conceptual model of pharmacoeconomic analysis of technologies for the prevention of chronic viral infections. Pharmacoeconomic evaluation of technologies for the prevention of chronic viral infections is possible on the basis of an analytical platform that determines the relationship between the target population to be prevented, and the effectiveness of intermediate and final results. The pharmacoeconomic analysis of technologies for the prevention of socially significant chronic viral infections was proposed to be carried out according to the developed algorithm. Implementation of the proposed algorithm for pharmacoeconomic analysis of various technologies for the prevention of chronic viral infections was based on developed unified model of the spread of viral infection in the population, where individuals can be assigned to different clinical and epidemiological classes. This model was a combination of epidemiological and clinical prognostic approaches and can be used to predict and conduct pharmacoeconomic assessment of viral infection prevention technologies with a general decrease in the number of people in a particular epidemiological class when applying medical technology for a certain period of time. The presented concept allows to formulate the principles of pharmacoeconomic evaluation of technologies for the prevention of chronic viral infections. It was advisable to use the concept of quality of life in assessing the usefulness of the technologies under study, which allows to formalize the cost-utility coefficient, minimization of which determines pharmacoeconomic reasonable strategies for the prevention of chronic viral infections. The developed concept is promising, and information technologies based on it can become a reliable source of information to support decision-making by health experts in the pharmacoeconomic evaluation of technologies for the prevention of chronic viral infections.

According to modern view, bacterial pathogens are the leading and most common cause of community-acquired pneumonia (CAP), but at the same time the results of numerous microbiological studies conducted in recent years showed that viruses confidently play the next leading role of CAP causes. Today, antiviral therapy is successfully used within the complex therapy of respiratory diseases, which allows reduction of the disease severity and minimizes the risk of complications. The main requirements for the antiviral drug are fully responsive to the new antiviral drug vitaglutam, the active component of which is pentanedioic acid imidazolyl ethanamide, is a low molecular weight compound, an analogue of the natural peptidoamine. The aim of the work. Mathematical modeling and analysis of clinical and laboratory indicators dynamics of CAP with additional antiviral pharmacotherapy based on pentanedioic acid imidazolyl ethanamide. In the study, it was used retrospective data of 106 patients with mild form of CAP of viral and bacterial etiology. Patients were randomly divided into two groups. In the 1st main group (50 patients), antibacterial therapy was combined with the antiviral drug vitaglutam. Analysis of antiviral therapy efficiency was provided by grouping of patients and determination of their distribution by gradations of clinical and laboratory indicators, as well as the construction of a mathematical model of their dynamics. According to modeling results, the rate of body temperature normalization, which was higher in patients taking vitaglutam, was a clear criterion for the efficiency of antiviral therapy. With additional antiviral therapy, the dynamics of sputum in the lungs was less intense. Positive clinical changes were accompanied by an improvement in the clinical blood analysis indicators, namely, more significant was the dynamics of ESR decrease. At the same time, dynamics of leukocytes number in patients’ blood was approximately the same in both groups. Analysis of dynamics of clinical and laboratory indicators using the proposed mathematical model suggests that additional prescription of vitaglutam to empirical stepwise antibiotic therapy can significantly reduce the time to achieve clinical and laboratory results of treatment of patients with CAP of viral and bacterial etiology.

A couple of studies have shown that viruses cause from 25 to 60% of acute intestinal infections (AII) cases, among which rotaviruses play a leading role in the structure of children's AII of viral etiology. According to the WHO recommendations, vaccination against rotavirus infection should be included into national immunization programs. Due to a wide diversity of circulating rotavirus genotypes, the issue of RVI vaccine efficiency, taking into account the dynamics of the molecular-genetic spectrum of RVI pathogens over time, remains relevant. The aim of the work – мodeling the dynamics of the molecular genetic spectrum of RVI pathogens and bioinformation analysis of f rotavirus vaccine efficiency. The object of the analysis was the results of molecular and epidemiological studies of RVI in Kyiv, conducted from 2007 to 2015. The dynamics of the genotypic spectrum was modeled using a Markov model, which involved replacing shares of the molecular genetic spectrum of rotaviruses with others ones according to homology with the vaccine strain: homology in both G and P genotypes, homology in G genotype or P genotype, no homology in both G and P genotypes. The method of rotavirus vaccine efficiency evaluation is based on data from clinical observations of vaccine efficiency, where different degrees of its efficiency against severe gastroenteritis caused by rotaviruses with different genotypes were shown. The shares of each genotype group in the general circulation of genotypes were taken as weights of the degree of homology relative to the vaccine strain, and the effectiveness of the vaccine against the strains of a specific homology group was obtained from clinical observations. The results of the analysis based on the constructed distribution curves of the molecular genetic spectrum of rotaviruses due to rotavirus vaccine strain homology in Kiev showed that, despite the observed dynamics of the molecular genetic spectrum of RVI pathogens, the expected genotype-specific efficiency of rotavirus vaccine would be constant with a value of 0.835 or 83.5% against rotavirus gastroenteritis with a Vesikari severity of > 11 points. It was proposed mathematical model for prediction of molecular genetic spectrum of rotaviruses dynamics, taking into account the homology of the genotypes of RVI pathogens with respect to the vaccine strain. According to the literature data of molecular and epidemiological studies of rotaviruses in Kyiv, the parameters of the proposed mathematical model and the dynamics of the molecular genetic spectrum of RVI pathogens were determined. Using mathematical modeling, the expected genotype-specific efficiency of the rotavirus vaccine was determined based on Kyiv regional retrospective molecular and epidemiological data.

The results of computational and theoretical studies related to assessing of efficiency indicators of immunization with rotavirus vaccine in Ukraine among children under five years are presented. The Indicators of the impact were received with computer implementation of decision tree model based on Markov processes. Under strategies of vaccination and no vaccination projected levels of morbidity, number of hospital admissions, mortality of rotavirus infection and other factors were received. It was shown that the vaccination with rotavirus vaccine will have significant medical significance in Ukraine.