GEOINFORMATION MONITORING AND MATHEMATICAL MODELING OF THE COVID-19 PANDEMIC DEVELOPMENT
Aleksander K. Cherkashin, Svetlana I. Lesnykh, Natalia E. Krasnoshtanova
Siberian Branch of the Russian Academy of Sciences
Information and mathematical technology for collecting and primary processing of spatial data is organized in the form of geoinformation monitoring (GIM) according to metatheoretical principles of the structure of spatially distributed commutation fields stratified (bundle) functionally connected spaces of constructive activity. This corresponds to the rules of information and mathematical support of CAD for creating spatial-graphic forms and thematic maps with different content. A layer of information interactions between different projects and users is formed around database of different distributed GIS. Individual database correspond to portals as nodes of communication of the user’s GIS with the global information diversity. The GIM technology is implemented on the example of the operational formation of a special GIS database and the construction of statistical graphs of the development of the novel coronavirus (COVID-19) pandemic at the national level. Processes and graphs are modeled in terms of reliability theory with the description of curves by probability density functions of the distribution of extreme events, of which the Frechet function of the time moments distribution for coronavirus disease detected cases in the population is optimal. The use of relative reliability indicators minimizes the impact of data errors, and their cross-country analysis indicates the presence of constant coefficients of the equations, which makes it possible to apply the epidemiological model in further studies of statistical data.
geoinformation monitoring, novel coronavirus pandemic, COVID-19, mathematical model-ing, national characteristics