Optimal control and sensitivity analysis of COVID-19 transmission model with the presence of waning immunity in West Java, Indonesia
Abstract
In this paper, we developed optimal control and sensitivity analysis on the model of SEIQR COVID-19 transmission in the presence of waning immunity by adding the combination of Partical Rank Correlation Coefficient (PRCC) and Latin Hypercube Sampling (LHS). The most influental parameters to the model are the isolation rate, the infection rate and the recovery rate. We used daily cases of COVID-19 data in West Java, Indonesia to parameterize the infection rate and the recovery rate of the model. Optimal control is applied to the most sensitive parameter i.e. treatments. Treatment is effective to reduce the infected population.
- Published
- 23 February 2022
- Volume
- 2022 (2022)
- License
- CC BY 3.0
Copyright © 2022 Fatuh Inayaturohmat, Nursanti Anggriani, Asep Kuswandi Supriatna. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cite this article
F. Inayaturohmat, N. Anggriani, A. K. Supriatna, Optimal control and sensitivity analysis of COVID-19 transmission model with the presence of waning immunity in West Java, Indonesia, Commun. Math. Biol. Neurosci. 2022 (2022), 19. https://doi.org/10.28919/cmbn/7124
BibTeX
@article{Inayaturohmat2022,
author = {Inayaturohmat, Fatuh and Anggriani, Nursanti and Supriatna, Asep Kuswandi},
title = {Optimal control and sensitivity analysis of COVID-19 transmission model with the presence of waning immunity in West Java, Indonesia},
journal = {Commun. Math. Biol. Neurosci.},
volume = {2022},
year = {2022},
pages = {19},
doi = {10.28919/cmbn/7124}
}