Geo-information system of tuberculosis spread based on inversion and prediction
Kabanikhin S. Krivorotko O. Takuadina A. Andornaya D. Zhang S.
1 February 2021De Gruyter Open Ltd
Journal of Inverse and Ill-Posed Problems
2021#29Issue 165 - 79 pp.
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 of epidemiologic processes using additional information. We analyze numerical method for solving inverse problem of epidemiology based on genetic algorithm and traditional optimization approach. Our algorithms are applied to analysis and prediction of epidemic situation in regions of Russian Federation, Republic of Kazakhstan and Peoples Republic of China. Due to a great amount of data we use a special software Digital Earthfor visualization of epidemic.
Digital Earth , epidemiology , genetic algorithm , Inverse problem , optimization , prediction
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Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk State University, Novosibirsk, Russian Federation
Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk State University, Novosibirsk, Russian Federation
L. N. Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan
Novosibirsk State University, Novosibirsk, Russian Federation
Tianjin University of Finance and Economics, Tianjin, China
Institute of Computational Mathematics and Mathematical Geophysics SB RAS
Institute of Computational Mathematics and Mathematical Geophysics SB RAS
L. N. Gumilyov Eurasian National University
Novosibirsk State University
Tianjin University of Finance and Economics
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