Power-series solution of compartmental epidemiological models
Clicks: 197
ID: 272224
2021
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
197 views
43 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #1 of 3 articles by views in mathematical biosciences and engineering
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
In this work, power-series solutions of compartmental epidemiological models are used to provide alternate methods to solve the corresponding systems of nonlinear differential equations. A simple and classical SIR compartmental model is considered to reveal clearly the idea of our approach. Moreover, a SAIRP compartmental model is also analyzed by using the same methodology, previously applied to the COVID-19 pandemic. Numerical experiments are performed to show the accuracy of this approach.
| Reference Key |
srivastava2021mathematicalpower-series
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | H. M. Srivastava;I. Area;J. J. Nieto;H. M. Srivastava;I. Area;J. J. Nieto;H. M. Srivastava;I. Area;J. J. Nieto; |
| Journal | mathematical biosciences and engineering |
| Year | 2021 |
| DOI |
doi:10.3934/mbe.2021163
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.