基于线性回归和多项式回归方法的印度尼西亚Covid-19病例预测模型

Amid Rakhman, Y. Cahyana, Rahmat, Tukino, Syahroni Wahyu Iriananda
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摘要

2020年3月11日,世界卫生组织宣布2019冠状病毒病(Covid-19)为大流行。Covid-19是一种由新型冠状病毒即Sars-CoV-2引起的疾病,会影响呼吸系统。到目前为止,印度尼西亚每天都有Covid-19阳性确诊病例。这项研究旨在预测印度尼西亚新增的Covid-19病例。数据来源于公共API页面covid . 19.go。在印度尼西亚新增的新冠肺炎病例数增加了122行数据。预测使用线性回归和多项式回归方法作为比较。线性回归方法的评价值R2 = 0.57,而多项式回归方法的评价值R2 = 0.84。基于这些评价,多项式回归方法比线性回归方法效果更好。利用多项式回归方法预测2022年1 - 3月印度尼西亚新冠肺炎病例数,预测新增病例数将再次上升。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction Model for Covid-19 Cases in Indonesia Using Linear Regression and Polynomial Regression Methods
The World Health Organization on March 11, 2020, declared Coronavirus Disease 2019 (Covid-19) a pandemic. Covid-19 is a disease caused by a new type of coronavirus, namely Sars-CoV-2, which affects the respiratory system. Until now, positive confirmed cases of Covid-19 in Indonesia are still occurring every day. This study aims to predict the addition of Covid-19 cases in Indonesia. The data is sourced from the public API page covid19.go.id in the form of an additional number of Covid-19 cases in Indonesia by 122 lines of data. Predictions are made using linear regression and polynomial regression methods as comparisons. Evaluation of the linear regression method obtains a value of R2 = 0.57, while the polynomial regression method obtains a value of R2 = 0.84. Based on these evaluations, the polynomial regression method yields better results than the linear regression method. The prediction of Covid-19 cases in Indonesia from January to March 2022 using the polynomial regression methods predicts that the addition of Covid-19 cases will rise again.
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