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

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Published: Dec 26, 2023
DOI: https://doi.org/10.53555/jaz.v44iS8.4097
Keywords:
Temporal, COVID-19, Recovery, Spline, Panvel

Main Article Content

N. K. Patil
S.S. Jadhav
S.G. Pagare
M.A. Joshi
S.L. Khairnar

Abstract

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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How to Cite
N. K. Patil, S.S. Jadhav, S.G. Pagare, M.A. Joshi, & S.L. Khairnar. (2023). Temporal Analysis Of COVID-19 Cases And Recovery Trends In Panvel City: A Spline Curve Approach. Journal of Advanced Zoology, 44(S8), 343–352. https://doi.org/10.53555/jaz.v44iS8.4097
Issue
Vol. 44 No. S8 (2023): Mathematics and Applied Sciences
Section
Articles
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This work is licensed under a Creative Commons Attribution 4.0 International License.

Author Biographies

N. K. Patil

Department of Mathematics and Statistics, JVM'S Mehta Degree College, Airoli, Navi Mumbai

S.S. Jadhav

Department of Mathematics, Sundarrao More College of Arts, Commerce & Science, Poladpur

S.G. Pagare

Department of Education, Brahma Valley Educational College of Anjaneri, Trimbakeshwar (Nashik)

M.A. Joshi

Department of Mathematics, Changu Kana Thakur Arts, Commerce and Science College New Panvel

S.L. Khairnar

Department of Mathematics, Changu Kana Thakur Arts, Commerce and Science College New Panvel

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