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Main Authors: Neverov, Andrei, Krivorotko, Olga
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2412.01844
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author Neverov, Andrei
Krivorotko, Olga
author_facet Neverov, Andrei
Krivorotko, Olga
contents This paper considers the problem of modeling epidemic outbreaks in different regions with a common model, that uses additional information about these regions to adjust its parameters and relieve us of mundanity of data collecting, and inverse problem solving for each region separately. To that end, we study tuberculosis and HIV dynamics in regions of Russian Federation from 2009 to 2023 in connection with number of socio-economic parameters. SIR-like model was taken and modified as a dynamic model for tuberculosis-HIV co-infection and inverse problem of transfer rates between compartments was solved, based on statistical data of diseases incidence. To shorten the list of socio-economic parameters we make use of Shapley vector that allows us to estimate importance of these parameters in reconstruction of differential model parameters using regression algorithms.
format Preprint
id arxiv_https___arxiv_org_abs_2412_01844
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Feature importance of socio-economic parameters in Tuberculosis modeling
Neverov, Andrei
Krivorotko, Olga
Physics and Society
Populations and Evolution
65Z05
This paper considers the problem of modeling epidemic outbreaks in different regions with a common model, that uses additional information about these regions to adjust its parameters and relieve us of mundanity of data collecting, and inverse problem solving for each region separately. To that end, we study tuberculosis and HIV dynamics in regions of Russian Federation from 2009 to 2023 in connection with number of socio-economic parameters. SIR-like model was taken and modified as a dynamic model for tuberculosis-HIV co-infection and inverse problem of transfer rates between compartments was solved, based on statistical data of diseases incidence. To shorten the list of socio-economic parameters we make use of Shapley vector that allows us to estimate importance of these parameters in reconstruction of differential model parameters using regression algorithms.
title Feature importance of socio-economic parameters in Tuberculosis modeling
topic Physics and Society
Populations and Evolution
65Z05
url https://arxiv.org/abs/2412.01844