View source for Optimal control analysis for the Nipah infection with constant and time-varying vaccination and treatment under real data application

'''Authors:''' Muhammad Younas Khan, Saif Ullah, Muhammad Farooq, Basem Al Alwan, Abdul Baseer Saqib

'''Year:''' 2024

'''Journal:''' Scientific Reports

'''DOI:''' 10.xxxx/xxxxx

=== Summary ===
This paper formulates a mathematical model to analyze the dynamics and optimal control of Nipah virus (NiV). The model considers human-to-human and food-borne transmission, as well as contact with an infected corpse. The paper fits the model to reported cases in Bangladesh from 2001 to 2015, performs sensitivity analysis, and derives necessary optimality conditions.

=== Key Findings ===
* The model identifies three equilibrium states: NiV-free equilibrium, infected flying foxes-free equilibrium, and NiV-endemic equilibrium state
* Theoretical analysis presents the stability of the model equilibria
* Model fitting, parameter estimation, and sensitivity analysis are performed using standard least squares technique

=== Methodology ===
* '''Study Type:''' Mathematical Modeling
* '''Sample Size:''' Data from reported cases in Bangladesh from 2001 to 2015
* '''Geographic Focus:''' Bangladesh
* '''Time Period:''' 2001-2015

=== Topics ===
Nipah Virus, Mathematical Modeling, Epidemiology

=== Relevance ===
This paper provides insights into the dynamics and control strategies of Nipah virus, which is a significant paramyxovirus transmitted by bats, causing severe respiratory illness and encephalitis in humans. The findings could help in developing effective strategies for disease eradication.

=== Source ===
[[File:41598_2024_Article_68091.PDF|PDF Document]]