日本新冠肺炎(阳性/检测)比例的非线性曲线拟合

Tsai Cheng-Yen, Tanaka Yuki, Igarashi Masao
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引用次数: 0

摘要

我们调查了2020年3月1日至2022年11月19日日本感染COVID-19的人数。为了估计感染者的趋势,我们引入了一个由“阳性”人数与“检测”人数定义的比率。比率柱状图从2021年11月开始迅速增长。我们沿着时间序列将比率分为3个区间(增加、减少和振荡),并评估每个区间的拟合曲线。使用Mathematica内置的FindFit函数计算曲线的系数。当FindFit在给定的迭代时间内没有收敛时,我们稍微改变初始值,反转曲线系数的符号,或者增加曲线的参数数量。结果表明,迭代次数减少,残差减小。关键词:COVID-19, PCR检测,检测阳性,比率,周和,Sinc(x),非线性曲线
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Fitting a Nonlinear Curve to the Ratio (Positive/Tested) of COVID-19 in Japan
We examine the number of people infected with COVID-19 in Japan from March 1st, 2020 to November 19th, 2022. To estimate the trends of infected people, we introduce a ratio defined by the number of "Positive" people to "Tested" people. The bar graphs of the ratios increase rapidly from November, 2021. We divide the ratios into 3 intervals (increasing, decreasing, and oscillating) along the time series and evaluate the fitting curve for each interval. Mathematica built-in function named FindFit is applied to calculate the coefficients of the curve. When FindFit does not converge within the given iteration times, we slightly change the initial value, reverse the sign of the coefficients of the curve, or increase the number of parameters for the curve. As the results, the number of iteration times and the residual errors are reduced. Keywords : COVID-19, PCR tested, Tested positive, Ratio, Week sum, Sinc(x), Nonlinear curve
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