DocumentCode
3149186
Title
Notice of Violation of IEEE Publication Principles
Optimal control applied to cholera model
Author
Fei Liao
Author_Institution
Dept. of Math., Mudanjiang Normal Coll., Mudanjiang, China
Volume
7
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
2662
Lastpage
2666
Abstract
Notice of Violation of IEEE Publication Principles
"Optimal Control Applied to Cholera Model"
by Fei Liao
in the Proceedings of the 2010 3rd International Conference on Biomedical Engineering and Informatics (BMEI 2010), Oct 2010, pp. 2662-2666
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper is a near verbatim copy of the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.
Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:
"Modeling Optimal Intervention Strategies for Cholera"
by Rachael L. Miller Neilan, Elsa Schaefer, Holly Gaff, K. Renee Fister, Suzanne Lenhart
in the Bulletin of Mathematical Biology (2010) 72, March 2010, pp. 2004-2018
While cholera has been a recognized disease for about 200 years, the control of deadly outbreaks remains a challenge. We formulate a mathematical model to include essential components such as a hyperinfectious, short-lived bacterial state, a separate class for mild human infections, and waning disease immunity. A new result quantifies contributions to the basic reproductive number from multiple infectious classes. Using optimal control theory, parameter sensitivity analysis, and numerical simulations, a cost-effective balance of multiple intervention methods is compared for two endemic populations. Results provide a framework for designing cost-effective strategies for diseases with multiple intervention methods.
"Optimal Control Applied to Cholera Model"
by Fei Liao
in the Proceedings of the 2010 3rd International Conference on Biomedical Engineering and Informatics (BMEI 2010), Oct 2010, pp. 2662-2666
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper is a near verbatim copy of the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.
Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:
"Modeling Optimal Intervention Strategies for Cholera"
by Rachael L. Miller Neilan, Elsa Schaefer, Holly Gaff, K. Renee Fister, Suzanne Lenhart
in the Bulletin of Mathematical Biology (2010) 72, March 2010, pp. 2004-2018
While cholera has been a recognized disease for about 200 years, the control of deadly outbreaks remains a challenge. We formulate a mathematical model to include essential components such as a hyperinfectious, short-lived bacterial state, a separate class for mild human infections, and waning disease immunity. A new result quantifies contributions to the basic reproductive number from multiple infectious classes. Using optimal control theory, parameter sensitivity analysis, and numerical simulations, a cost-effective balance of multiple intervention methods is compared for two endemic populations. Results provide a framework for designing cost-effective strategies for diseases with multiple intervention methods.
Keywords
diseases; medical control systems; microorganisms; optimal control; sensitivity analysis; cholera model; deadly outbreak control; disease immunity; endemic population; hyperinfectious short-lived bacterial state; mathematical model; mild human infection; numerical simulation; optimal control; parameter sensitivity analysis; Analytical models; Biological system modeling; Differential equations; Diseases; Microorganisms; Optimal control; Sensitivity analysis; SIR model; basic reproductive number; cholera; optimal control; sensitivity analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6495-1
Type
conf
DOI
10.1109/BMEI.2010.5639857
Filename
5639857
Link To Document