Mathematical analysis of COVID-19 dynamics in Iraq utilising empirical data

Mathematical analysis of COVID-19 dynamics in Iraq utilising empirical data

This study examines the impact and transmission of COVID-19 in Iraq via the development of a mathematical model grounded in the SIIhR framework. We assess and quantify the biological parameters of the model utilising empirical data. To ascertain the model’s reliability, we examine the existence and...

Full description

Saved in:
Bibliographic Details
Main Authors: Wasan I. Khalil, Ayad R. Khudair
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Results in Control and Optimization
Subjects:
S I Ih R model
COVID-19 pandemic
Mathematical model
Sensitivity analysis
Optimal vaccination strategy
Online Access:http://www.sciencedirect.com/science/article/pii/S2666720725000141
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study examines the impact and transmission of COVID-19 in Iraq via the development of a mathematical model grounded in the SIIhR framework. We assess and quantify the biological parameters of the model utilising empirical data. To ascertain the model’s reliability, we examine the existence and uniqueness of a positive solution. Utilising the validated model, we establish an optimal control problem aimed at minimising daily infections via vaccination, employing a cost function. We also present algorithms utilising Pontryagin’s minimum principle, with time-delay modifications, to identify the optimal vaccination strategy.
ISSN:2666-7207

Similar Items