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<p>The emergence of Novel Coronavirus Pneumonia (COVID-19) in 2019 has imposed a significant burden on countries, societies, and individuals worldwide. Through mathematical methods, the effectiveness of various preventive measures and vaccination strategies is evaluated, the evolution of the epidemic under different scenarios and interventions is quantitatively predicated, and the detection methods are studied and analyzed to provide scientific theory basis for epidemic prevention and control, and provide references for governments, societies and individuals. This paper reviews the mathematical researches on the preventive measures, prediction and detection methods of the COVID-19 pandemic, and provides a reference for the combination of theoretical modeling, epidemic prevention and control.</p>

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A review of mathematical researches on the COVID-19 pandemic

  • 期刊论文

  • 发表日期：

    2025年1月8日

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  • Yuping Chen,
  • Lijun Pei,
  • Youming Lei

摘要

The emergence of Novel Coronavirus Pneumonia (COVID-19) in 2019 has imposed a significant burden on countries, societies, and individuals worldwide. Through mathematical methods, the effectiveness of various preventive measures and vaccination strategies is evaluated, the evolution of the epidemic under different scenarios and interventions is quantitatively predicated, and the detection methods are studied and analyzed to provide scientific theory basis for epidemic prevention and control, and provide references for governments, societies and individuals. This paper reviews the mathematical researches on the preventive measures, prediction and detection methods of the COVID-19 pandemic, and provides a reference for the combination of theoretical modeling, epidemic prevention and control.