[Iefac.list] CFP - IIE Transactions Special Issue on Health Surveillance

jiangwei at sjtu.edu.cn jiangwei at sjtu.edu.cn
Thu Aug 11 10:52:19 EDT 2011


Dear Dir/Madam,

Can you please kindly post this CFP announcement for the IIE Special  
Issue on Health Surveillance on the IE Faculty List? Please let me  
know if you have any questions.

Thank you very much.

Best regards,

Wei Jiang, Ph.D
Head and Professor of Operations Management
Antai College of Economics and Management
Shanghai Jiaotong University


-------------------------------------------------
IIE Transactions Call for Papers
Special issue on “Public Health and Healthcare Surveillance and Response”
Guest Editors: Wei Jiang, Lianjie Shu, and Kwok-L. Tsui

The objective of public health surveillance is to systematically  
collect, analyze, and interpret public health data (chronic or  
infectious diseases) in order to understand trends, detect changes in  
disease incidence and death rates, and plan, implement and evaluate  
public health practices. Numerous organizations such as CDC, WHO, etc.  
as well as private companies such as Google Inc. have collected and  
published health related data in a regular basis nowadays, especially  
during the period of H1N1 influenza in 2009-2010. Recently, studies  
have been conducted to develop methods and algorithms for health  
surveillance and disease outbreak detection based on these macro- and  
micro-level health datasets. It is well recognized that disease  
outbreaks or unanticipated healthcare inefficiency can be effectively  
mitigated or avoided by enacting effective healthcare standardization,  
quality management, and surveillance systems. As a result, the public  
health and healthcare system can be significantly improved through  
timely medical mitigation (such as vaccination or targeted groups for  
antiviral prescriptions), non-medical mitigation (such as school  
closings or quarantine), as well as other quality improvement  
strategies.

Two major tasks in public health surveillance are to quickly detect an  
adverse health event and to promptly respond to the event. The earlier  
an increase in the incidence rate can be detected, the earlier  
preventive actions can be taken before further severe health  
situations occur such as disease spreading or mutation. Therefore,  
quick detection and prevention are beneficial to both individuals and  
society. Moreover, once an adverse event has occurred, the public  
health and healthcare administrators should take advantage of the  
surveillance methods and other quantitative tools (such as simulation  
and optimization) to manage and respond to the outbreak or epidemic  
situations. To address these two issues, statistical methods for  
public health surveillance and responses have been widely studied. The  
central theme of this Special Issue is to understand the requirements  
and opportunities in healthcare and public health surveillance and to  
encourage the applications of statistical methods in complex  
healthcare systems. The purpose is to show the state-of-the-art  
research and applications in health surveillance and response by  
bringing together researchers from various research fields to address  
the significant advancement, expose the unsolved challenges, and  
provide visions for future research and development.



* Subject Coverage

We are particularly interested in the research results in the  
following two categories: (i) temporal, spatial, and spatiotemporal  
surveillance methodologies in public health; and (ii) applications of  
quantitative methodologies such as optimization, simulation, and  
quality control to healthcare and public health surveillance and  
response. Topics to be covered include, but not limited to the  
following:

•	Data collection systems in healthcare applications
•	Healthcare system modeling and forecasting including call centers
•	Time study in hospital management
•	Hospital workforce management
•	Emergency room management
•	Temporal surveillance methods in health care applications
•	Spatial surveillance methods for cluster detection in health  
care applications
•	Spatiotemporal surveillance methods for detecting emerging clusters
•	Disease-related research such as outbreak detection and  
disease risk estimation and monitoring
•	Performance merits for surveillance methods in healthcare applications
•	Healthcare response to disease outbreaks and pandemic


	Notes for Intending Authors

All papers are to be submitted through  
http://mc.manuscriptcentral.com/iietransactions.  Please select  
“Special Issue” under Manuscript Category of your submission.  All  
manuscripts must be prepared according to the IIE Transactions  
publication guidelines.

	Important Dates

•	December 1, 2011:	Intent to submit (optional)
•	March 1, 2012: 	Paper submission deadline
•	September 1, 2012: 	Completion of the first round review
•	January 1, 2013: 	Completion of the second round review
•	March 1, 2013: 	Final manuscripts due
•	September 1 2013:	Tentative publication date

	Editor’s notes

You may communicate with any of the Guest Editors on any aspect of the  
Special Issue as follows:

Prof. Wei Jiang
Shanghai Jiaotong University, China
jiangwei at sjtu..edu.cn

Prof. Lianjie Shu
University of Macau, Macau
ljshu at umac.mo

Prof. Kwok-Leung Tsui
Georgia Institute of Technology, USA
ktsui at isye.gatech.edu


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