Comprehensive Analysis of Conformable Mathematical Model of Ebola Virus with Effective Control Strategies

The Ebola virus is a highly infectious disease that can propagate throughout apopulation depending on how people interact in society. This research presents a modifiedmathematical model of the Ebola Virus Disease, using effective control strategies such asQuarantine, Self-Isolated and Hospitalized Individuals. These Compartments have playeda key role in understanding the transmission of the Ebola Virus Disease in the society. Byusing a conformable derivative, a system of equations has been developed for the EbolaVirus Disease model. Basic reproduction number R0 has been determined using the Nextgenerationmatrix method. To understand the impact of parameter variations on Ebolavirus disease, sensitivity analysis of R0 has been observed. Stability analysis has been calculatedat both the disease-free equilibrium point and the disease-present equilibrium pointto assess the behaviour of virus. The conformable derivative facilitates a smooth transitionfrom fractional order to classical models as the parameter (c) approaches to 1. Additionally,implementation of quarantine, self-isolation, and hospitalization emerges as a highly effectivestrategy, significantly reduced Ebola virus disease in society. These findings enhanceour understanding of Ebola dynamics and offer critical implications for effective outbreakcontrol strategies.

Authors

Institutions

Publication Details

Journal
Scientia Iranica
Published
2024-09-30
DOI
https://doi.org/10.24200/sci.2024.63509.8441
Primary Topic
Viral Infections and Outbreaks Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive Analysis of Conformable Mathematical Model of Ebola Virus with Effective Control Strategies

Sehrish Ramzan, Nadeem Abbas, Aqsa Nazir, Wasfı Shatanawi et al.
1 links
Scientia Iranica
Viral Infections and Outbreaks Research
article

Comprehensive Analysis of Conformable Mathematical Model of Ebola Virus with Effective Control Strategies

Sehrish Ramzan, Nadeem Abbas, Aqsa Nazir, Wasfı Shatanawi, Syeda Alishwa Zanib
article en

Abstract

The Ebola virus is a highly infectious disease that can propagate throughout apopulation depending on how people interact in society. This research presents a modifiedmathematical model of the Ebola Virus Disease, using effective control strategies such asQuarantine, Self-Isolated and Hospitalized Individuals. These Compartments have playeda key role in understanding the transmission of the Ebola Virus Disease in the society. Byusing a conformable derivative, a system of equations has been developed for the EbolaVirus Disease model. Basic reproduction number R0 has been determined using the Nextgenerationmatrix method. To understand the impact of parameter variations on Ebolavirus disease, sensitivity analysis of R0 has been observed. Stability analysis has been calculatedat both the disease-free equilibrium point and the disease-present equilibrium pointto assess the behaviour of virus. The conformable derivative facilitates a smooth transitionfrom fractional order to classical models as the parameter (c) approaches to 1. Additionally,implementation of quarantine, self-isolation, and hospitalization emerges as a highly effectivestrategy, significantly reduced Ebola virus disease in society. These findings enhanceour understanding of Ebola dynamics and offer critical implications for effective outbreakcontrol strategies.

Scientia IranicaVol. 0(0)
Prince Sultan University (SA), National University of Modern Languages (PK), China Medical University (TW), Government College University, Faisalabad (PK), Riphah International University (PK), China Medical University Hospital (TW)
Prince Sultan University
Openalex Percentile: Top 68%
Viral Infections and Outbreaks Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.