  The monitoring, analysis and prediction of epidemic spread in the region
require the construction of mathematical model, big data processing and
visualization because the amount of population and the size of the region could
be huge. One of the important steps is refinement of mathematical model, i.e.
determination of initial data and coefficients of system of differential
equations which describe the epidemiology processes. We analyze numerical
method for solving inverse problem of epidemiology based on genetic algorithm
and traditional optimization ideas. Numerical results are applied to analysis
and prediction of epidemic situation in regions of Russian Federation, Republic
of Kazakhstan and People's Republic of China. Due to a great amount of data we
use a special Geo-information system for visualization of epidemic process,
i.e. a special software named Digital Earth.
