Spatial Distribution of COVID-19 Under the Influence of Environmental Factors: Correlation and Regression Analysis

Close monitoring of morbidity and mortality from COVID-19 has become a "supplier" large amounts spatially distributed information. This, in turn, led to the creation many models for development pandemic. We used official information on incidence 24 regions (oblasts republics) Volga basin Russian Federation. performed multiple regression analysis test significance impact 19 social, economic environmental indicators. 10 parameters turned out be statistically significant number cases, among which social indicators make contribution (63.19%). For indicator "mortality COVID-19", we identified 15 factors. At same time, note prevalence socio-economic (58.4%) over ones (31.2%). Among analyzed indicators, there were no such with help it is possible quickly influence COVID-19. Vaccination population still topical remedy. Nevertheless, consider very approach study successful. By combining efforts infectious disease specialists, systemologists, ecologists other one can hope create workable (predictive manageable) model