Abstract
MATERIAL AND METHODS: Data from the Federal State Statistics Service, as well as statistical materials from the digest “Rural Healthcare in Russia in 2021”, provided by the Federal State Budgetary Institution “Russian Research Institute of Health” of the Russian Ministry of Health were the main sources of information for this study. Analytical procedures included Pearson correlation analysis, factor analysis (principal component method), hierarchical cluster analysis, multiple linear regression with backward elimination method for selecting variables. RESULTS: Six typological groups of regions of the Russian Federation were identified based on the variations in the morbidity rates of the rural population across certain classes of diseases including infectious and parasitic diseases, neoplasms, diseases of the circulatory system, diseases of the respiratory system, digestive system, and external causes. It has been established that there was a differentiation in the regions of Russia in terms of factors influencing the morbidity rate of the rural population by the main classes of diseases during the COVID-19 pandemic in 2021. Healthcare system, medical and social factors had the greatest impact on the overall morbidity in the regions of the fourth and fifth classification groups, on the detection of some infectious and parasitic diseases in the regions of the second, fifth and sixth groups, and respiratory and digestive diseases in the third classification group. The housing quality in the regions of almost all groups was one of the most significant social factors. Economic conditions had a significant impact on the incidence of infectious and parasitic diseases in the regions of the third and sixth groups, as well as on the level of injuries and some consequences of external causes in the regions of the first and third groups. Environmental factors were significant determinants of morbidity in the regions of the fifth group. At the same time, regression analysis showed associations between selected factors for all classification groups of regions for some infectious and parasitic diseases. The smallest number of models has been defined for the incidence of neoplasms and circulatory organs. CONCLUSION: Contribution of socioeconomic, demographic, environmental and natural factors to rural public health should guide the development of policies aimed at development of rural healthcare taking into account regional characteristics.
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