基于切比雪夫多项式拟合函数的英国疫情预测分析

Forecast and Analysis of the UK Epidemic Based on Chebyshev Polynomial Fitting Function

摘要: 随着疫情在全球多点暴发并快速蔓延，各个国家的疫情都有不同程度的恶化，令世界公共卫生安全面临极大挑战，本文基于非线性多项式拟合函数，以英国为例，使用Python对数据进行非线性多项式拟合函数估计，对该国新冠疫情新增病例进行分析，根据预测结果并结合英国目前防疫工作的进度和国家情况，提出可行和科学的防疫措施和政策。

Abstract: With the outbreak and rapid spread of the epidemic in multiple locations around the world, the epidemic situation in various countries has deteriorated to varying degrees, making the world public health security facing great challenges. Based on the nonlinear polynomial fitting function, this paper takes the UK as an example and uses Python to perform the nonlinear polynomial fitting function estimation on data to analyze the new cases of COVID-19 in the country. Based on the predicted results and the progress of the current epidemic prevention work and the national situation in the UK, feasible and scientific epidemic prevention measures and policies are proposed.