Issue |
E3S Web of Conf.
Volume 531, 2024
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2024)
|
|
---|---|---|
Article Number | 03013 | |
Number of page(s) | 10 | |
Section | Mathematical Modelling of Energy Systems | |
DOI | https://doi.org/10.1051/e3sconf/202453103013 | |
Published online | 03 June 2024 |
Mathematical analysis on novel coronavirus model using HPM
1 Department of Science and Humanities, SRM Madurai College for Engineering and Technology, Pottapalayam, Sivagangai District, Tamil Nadu, India
2 Department of Mathematics, Kongu Engineering College, Perundurai, Erode, Tamil Nadu, India
3 Department of Mathematics, College of Engineering and Technology, SRM Institute of Science and Technology, Kathankulathur, Tamil Nadu, India
* Corresponding author: senthamr@srmist.edu.in
An analysis of the model underpinning the description of the spread of coronavirus infection reservoir (seafood market) is examined in detail in this work. We considered the infection cases available from January 21, 2020 to January 28, 2020 and parameterized the model. An iteration technique, namely, the homotopy perturbation method (HPM), is implemented to provide an approximate solution for non-linear systems of differential equations. The approximated solution obtained by HPM is compared with those obtained numerical to prove the trustworthiness of HPM. Moreover, the lessening and simplicity in calculations give HPM broader applicability. The given model is then numerically solved by MATLAB program, with numerous graphical findings that can aid in infection mitigation. Excellent agreement is noted on comparisons between the analytical and numerical results.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.