Прогнозування хвиль коронавірусу на основі відновленоїкогнітивної карти міжрегіонального впливу
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This article considers the urgent task of predicting the start, peak and end waves of daily increases in the number of confirmed
coronavirus patients in a given region based on a cognitive map that takes into account interregional influence, ie other regions on a given,
and vice versa. A method for identifying the weights of such a cognitive map for neighboring regions is proposed. A step-by-step algorithm
for applying this method in practice based on real data on coronavirus patients in these regions has been developed, a number of techniques
for its implementation have been presented, and its automation in Python has been carried out. An example is given to test the efficiency of
the proposed method and algorithm on the example of interaction analysis and prediction of the end date of the coronavirus wave in Ukraine
according to Romania based on the restored weights of the second order cognitive map.
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Прогнозування хвиль коронавірусу на основі відновленоїкогнітивної карти міжрегіонального впливу [Текст] / В. Мокін, М. Дратований, А. Лосенко, С. Жуков // Інформаційні технології та комп`ютерна інженерія. – 2021. – № 3. – С. 86-94.
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