Identifying Critical Parameters in SIR Model for Spread of Disease

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Open Journal of Modelling and Simulation

ISSN Print: 2327-4018
ISSN Online: 2327-4026
www.scirp.org/journal/ojmsi
E-mail: ojmsi@scirp.org

Citations h5-index & Ranking*

Journals Menu

"Identifying Critical Parameters in SIR Model for Spread of Disease"
written by Sarbaz H. A. Khoshnaw, Najem A. Mohammad, Rizgar H. Salih,
published by Open Journal of Modelling and Simulation, Vol.5 No.1, 2017

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Entropy production and lumping of species can effectively reduce complex cell signaling pathways
	Physica Scripta, 2022

[2]	A Flexible Rolling Regression Framework for Time-Varying SIRD models: Application to COVID-19
	2021

[3]	Optimal Transmission Rate in a Basic Three-Compartment Epidemic Model
	2021

[4]	Transmission mechanism of Novel coronavirus based on SIR model and emergency supplies network's relation
	2020

[5]	Minimizing cell signalling pathway elements using lumping parameters
	2020

[6]	Application of fractional derivative on non-linear biochemical reaction models
	2020

[7]	Analysis coronavirus disease (COVID-19) model using numerical approaches and logistic model
	2020

[8]	Mathematical modelling for coronavirus disease (COVID-19) in predicting future behaviours and sensitivity analysis
	2020

[9]	Mathematical modeling for enzyme inhibitors with slow and fast subsystems
	2020

[10]	A Quantitative and Qualitative Analysis of the COVID–19 Pandemic Model
	2020

[11]	Model Reduction for Non-linear Protein Translation Pathways Using Slow and Fast Subsystems
	2019

[12]	Mathematical Modelling for Complex Biochemical Networks and Identification of Fast and Slow Reactions
	2019

[13]	Using the sir epidemic model to infer the SARS outbreak in Beijing, 2003
	2019

[14]	Slow and fast subsystems for complex biochemical reactions
	2018

[15]	Mathematical Model for the Ebola Virus Disease
	Journal of Advanced Physics, 2018

[16]	Dynamic Analysis of a Predator and Prey Model with Some Computational Simulations
	2017

[17]	Mathematical modelling of infectious disease models
	2017

[18]	STUDY OF INFECTIOUS DISEASE COVID-19 BASED ON MATHEMATICAL MODELING AND IMPACT OF LOCKDOWN IN INDIA

[1]	Entropy production and lumping of species can effectively reduce complex cell signaling pathways Physica Scripta, 2022 DOI:10.1088/1402-4896/ac6211

[2]	Mathematical Methods and Modelling in Applied Sciences Lecture Notes in Networks and Systems, 2020 DOI:10.1007/978-3-030-43002-3_6

[3]	Mathematical modelling for coronavirus disease (COVID-19) in predicting future behaviours and sensitivity analysis Mathematical Modelling of Natural Phenomena, 2020 DOI:10.1051/mmnp/2020020

[4]	Application of fractional derivative on non-linear biochemical reaction models International Journal of Intelligent Networks, 2020 DOI:10.1016/j.ijin.2020.05.001

[5]	Mathematical modeling for enzyme inhibitors with slow and fast subsystems Arab Journal of Basic and Applied Sciences, 2020 DOI:10.1080/25765299.2020.1844369

[6]	A mathematical modelling approach for childhood vaccination with some computational simulations 2019 DOI:10.1063/1.5097819

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Open Journal of Modelling and Simulation

Open Journal of Modelling and Simulation

Journals Menu

Home

About SCIRP

Service

Policies