Panvel 市 COVID-19 病例和康复趋势的时间分析：样条曲线法

Journal of Advanced Zoology Pub Date : 2024-02-29 DOI:10.53555/jaz.v44is8.4097

N. K. Patil, S.S. Jadhav, S.G. Pagare, M. Joshi, S. Khairnar

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引用次数: 0

摘要

对数学建模中的样条曲线法进行了评估，以确定其在拟合 Panvel 市每日治愈和 COVID-19 阳性患者数据时的有效性。这项研究强调了选择适当的样条曲线插值度数对于建立可靠的疾病相关数据集模型的关键作用。

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Temporal Analysis Of COVID-19 Cases And Recovery Trends In Panvel City: A Spline Curve Approach

The spline curve method in mathematical modeling, was assessed across degrees for its efficacy in fitting daily cured and COVID-19 positive patient data of Panvel City. This study highlights the critical role of selecting an appropriate degree in spline interpolation for reliable disease-related dataset modeling.

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Journal of Advanced Zoology

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