Spatial Distribution of COVID-19 Under the Influence of Environmental Factors: Correlation and Regression Analysis
| Autor: | R. S. Kuznetsova, G. S. Rozenberg, N. V. Kostina |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | IOP Conference Series: Earth and Environmental Science. 818:012023 |
| ISSN: | 1755-1315 1755-1307 |
| Popis: | Close monitoring of morbidity and mortality from COVID-19 has become a “supplier” of large amounts of spatially distributed information. This, in turn, has led to the creation of many models for the development of a pandemic. We used official information on the incidence and mortality of COVID-19 for 24 regions (oblasts and republics) of the Volga basin of the Russian Federation. We performed multiple regression analysis to test the significance of the impact of 19 social, economic and environmental indicators. 10 parameters turned out to be statistically significant for the number of cases, among which social indicators make a significant contribution (63.19%). For the indicator “mortality from COVID-19”, we identified 15 statistically significant factors. At the same time, we note the prevalence of socio-economic parameters (58.4%) over the environmental ones (31.2%). Among the analyzed 19 indicators, there were no such indicators with the help of which it is possible to quickly influence the incidence and mortality from COVID-19. Vaccination of the population is still a topical remedy. Nevertheless, we consider the very approach to the study of spatially distributed information to be successful. By combining the efforts of infectious disease specialists, systemologists, ecologists and other specialists, one can hope to create a workable (predictive and manageable) model for the development of COVID-19. |
| Databáze: | OpenAIRE |
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