SCIENTIFIC ANALYTICAL RESEARCH INVESTIGATING PROBLEMS OF THE SPREAD OF ACUTE RESPIRATORY DISEASES, FLU AND COVID-19

Authors

DOI:

https://doi.org/10.11603/1681-2786.2024.3.14950

Keywords:

infectious diseases, influenza epidemics, anti-epidemiological measures, analytical review, forecasting models

Abstract

Purpose: to analyze the relevance of the problem of epidemiology and prevention of acute respiratory diseases, influenza and COVID-19 in the conditions of martial law using an analytical search of sources in the Scopus scientometric database.

Materials and Mehtods. A search query on the specified topic in the scientometric database Scopus for the period 1993–2024 found 355 scientific works. An analytical review of them was carried out with the distribution by years, countries, universities and world-class scientists.

Results. Regardless of the military situation in the country, acute respiratory diseases, influenza and COVID-19 will continue to be one of the most urgent medical and social problems due to their ability to spread rapidly epidemically even in the warm period of the year, the appearance of new genetic variants of the SARS-COV virus 2, high morbidity, often severe clinical course and risk of developing complications dangerous to human health, especially in older persons and those with medical risk, exacerbation of chronic diseases and, as a result, mortality. This is confirmed, in particular, by the increase in the incidence of COVID-19 in August this year. Therefore, analytical analysis and development of adequate models for monitoring, assessment, epidemic situation and timely response to threats of epidemic development with methods of timely impact and prevention of the spread of the disease are relevant. The issue of continuation of special anti-epidemic measures in the conditions of martial law, which is accompanied by population migration, the formation of organized collectives, problems of access to timely medical care in certain territories, is relevant.

Conclusion. According to the results of an analytical review in the scientometric database Scopus, the issues of epidemiology of acute respiratory diseases, influenza and COVID-19 in the world remain relevant, in particular, the largest number of studies on this topic were conducted in the leading countries of the world: USA, Great Britain, Australia, Germany, India, China, etc.

Author Biographies

V. О. Panychev, SІ “Ternopil Regional Center for Disease Control and Prevention of the Ministry of Health of Ukraineˮ, Ternopil, Ukraine

epidemiologist

A. S. Sverstiuk, Ivan Horbachevsky Ternopil National Medical University of the Ministry of Health of Ukraine, Ternopil, Ukraine

DM (Technical Sciences), Professor of the Department of Medical Informatics

O. M. Kuchvara, Ivan Horbachevsky Ternopil National Medical University of the Ministry of Health of Ukraine, Ternopil, Ukraine

PhD (Technical Sciences), Associate Professor of the Department of Medical Informatics

O. A. Bagrii-Zaiats, Ivan Horbachevsky Ternopil National Medical University of the Ministry of Health of Ukraine, Ternopil, Ukraine

PhD (Technical Sciences), Associate Professor of the Department of Medical Physics of Diagnostic and Medical Equipment

Z. V. Maihruk, Ivan Horbachevsky Ternopil National Medical University of the Ministry of Health of Ukraine, Ternopil, Ukraine

PhD (Technical Sciences), Associate Professor of the Department of Medical Physics of Diagnostic and Medical Equipment

References

Martsenyuk, V., Karpinski, M., Klos-Witkowska, A., Veselska, O., Andrushchak, I., Sverstiuk, A., & Kuchvara, O. (2020). Computational modeling of coexistence of virus strains:unpredictability because of nonlinear phenomena. Medical Informatics and Engineering, 1, 38-44.

Martsenyuk, V.P., Andrushchak, I.Ye., & Kuchvara, A.M. (2011). On conditions of asymptotic stability in SIR-models of mathematical epidemiology. Journal of Automation and Information Sciences, 43(12), 59-68.

Nakonechnyi, A., Martsenyuk, V., Sverstiuk, A., Davydenko, Ye., Andrushchak, I., & Loiko, I. (2020). Network Modeling of Coexistence of Virus Strains Admitting Chaotic Behavior. IDDM. (pp. 56-61).

Abubakar, S.A., & Sverstyuk, A. (2024). Analytical review of publications on machine learning methods in oncology and approach to evaluating their quality. Computer systems and information technologies, 1, 6-16. DOI 10.31891/csit-2024-1-1.

Gunter, B. (2023). Psychology of Behavioural Interventions and Pandemic Control. Routledge. DOI 10.4324/9781003365907.

Roberts, I.M.S., & Bolognesi, M.M. (2024). The Influence of Metaphorical Framing on Emotions and Reasoning About the COVID-19 Pandemic. Metaphor and Symbol, 39(1), 55-74. DOI 10.1080/10926488.2023.2273301.

Beach, B., Clay, K., & Saavedra, M. (2022). The 1918 Influenza Pandemic and Its Lessons for COVID-19. Journal of Economic Literature, 60(1), 41-84. DOI 10.1257/jel.20201641.

Published

2024-10-30

How to Cite

Panychev V. О., Sverstiuk, A. S., Kuchvara, O. M., Bagrii-Zaiats, O. A., & Maihruk, Z. V. (2024). SCIENTIFIC ANALYTICAL RESEARCH INVESTIGATING PROBLEMS OF THE SPREAD OF ACUTE RESPIRATORY DISEASES, FLU AND COVID-19. Bulletin of Social Hygiene and Health Protection Organization of Ukraine, (3), 64–70. https://doi.org/10.11603/1681-2786.2024.3.14950

Issue

Section

Medical personnel training