基于切比雪夫多项式拟合函数的新冠疫情新增数据分析——以英国、印度和埃塞俄比亚为例
Analysis of New Coronary Epidemic Data Based on Chebyshev Polynomial Fitting Function—Taking the UK, India and Ethiopia as Examples
DOI: 10.12677/MM.2021.115064, PDF,    科研立项经费支持
作者: 魏景琪, 石悦琳, 周雨薇, 阎虎勤:厦门国家会计学院,福建 厦门
关键词: 新冠病毒疫情防控英国发展中国家New Coronavirus Epidemic Prevention and Control The UK Developing Countries
摘要: 2020年新冠疫情肺炎的全球大流行影响了世界格局,本文以英国、印度、埃塞俄比亚这3个有代表性的欧洲资本主义发达国家、南亚和非洲发展中国家为例,分析其抗疫方法和目前形势,使用Python中的切比雪夫函数对新冠肺炎的新增确诊人数和新增死亡人数的数据进行了拟合以及预测,分析了疫情对英国和对以印度和埃塞俄比亚为例的发展中国家的影响,并提出了一些建议。
Abstract: The global pandemic of the new crown pneumonia in 2020 has affected the world structure. This article takes the three representative countries, the United Kingdom, India, and Ethiopia to represent European capitalist developed countries, South Asian and African developing countries, as examples to analyze their anti-epidemic methods and current situation. According to the situation, the Chebyshev function in Python was used to fit and predict the data of the new cases and new deaths of new coronary pneumonia, and analyzed the impact of the epidemic on the United Kingdom and the developing countries taking India and Ethiopia as examples. Then corresponding suggestions were put forward.
文章引用:魏景琪, 石悦琳, 周雨薇, 阎虎勤. 基于切比雪夫多项式拟合函数的新冠疫情新增数据分析——以英国、印度和埃塞俄比亚为例[J]. 现代管理, 2021, 11(5): 496-504. https://doi.org/10.12677/MM.2021.115064

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