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<p>The COVID-19 pandemic necessitated the production of mathematical models that could explain and thoroughly study various aspects and features of the pandemic. In this work, we utilize mathematical modeling to model COVID-19 spread, also reflecting changes in growth rates over time. Empirically, we use data from January 2020 to May 2022, and according to the results, a significant correlation between confirmed COVID-19 cases and crude oil futures prices is revealed, with linear and non-linear analysis indicating a strong association. The findings highlight the dynamic link between public health crises and global economic factors, pointing out the need for multifaceted risk assessment frameworks that integrate health metrics with economic forecasting for improved resilience against pandemic-caused disruptions.</p>

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Modeling the COVID-19 incorporating oil futures

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年1月30日

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  • Moawia Alghalith,
  • Christos Floros,
  • Theodoros Daglis,
  • Konstantinos Gkillas

摘要

The COVID-19 pandemic necessitated the production of mathematical models that could explain and thoroughly study various aspects and features of the pandemic. In this work, we utilize mathematical modeling to model COVID-19 spread, also reflecting changes in growth rates over time. Empirically, we use data from January 2020 to May 2022, and according to the results, a significant correlation between confirmed COVID-19 cases and crude oil futures prices is revealed, with linear and non-linear analysis indicating a strong association. The findings highlight the dynamic link between public health crises and global economic factors, pointing out the need for multifaceted risk assessment frameworks that integrate health metrics with economic forecasting for improved resilience against pandemic-caused disruptions.