Estimation of the Migration Impact on COVID-19 Dynamics in Slovakia by Machine Learning: Simulation Study during Russian War in Ukraine

D. Chumachenko, Pavlo Pyrohov
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Abstract

COVID-19 has rapidly spread worldwide and has been a public health problem for more than two years. Russia's full-scale invasion of Ukraine launched on February 24, 2022, brought killings and injuries to Ukrainians and affected the spread of infectious diseases. The escalation of the war led to a migration crisis. Slovakia became one of the countries that accepted a large number of refugees. The study uses machine learning to assess the impact of refugees from Ukraine on the dynamics of the COVID-19 epidemic process in Slovakia. To do this, a simulation model was built to predict new cases and deaths from COVID-19 a month before the escalation of the war and in the first month after. The high accuracy of modeling for both periods suggests that the forced migration of the Ukrainian population to Slovakia is not a decisive factor in the increase in the incidence of COVID-19 in the country.
用机器学习估计移民对斯洛伐克COVID-19动态的影响:乌克兰俄罗斯战争期间的模拟研究
COVID-19在全球迅速蔓延,两年多来一直是一个公共卫生问题。俄罗斯于2022年2月24日全面入侵乌克兰,给乌克兰人带来了伤亡,并影响了传染病的传播。战争的升级导致了移民危机。斯洛伐克成为接纳大量难民的国家之一。该研究使用机器学习来评估乌克兰难民对斯洛伐克COVID-19疫情动态的影响。为此,建立了一个模拟模型,用于预测战争升级前一个月和战争升级后第一个月的新病例和死亡人数。这两个时期模型的高准确性表明,乌克兰人口被迫迁移到斯洛伐克并不是该国COVID-19发病率增加的决定性因素。
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