DocumentCode
3409906
Title
Gray Verhulst modeling prediction and education research for Beijing SARS
Author
Boming, Yin ; Yuanbo, Wang
Author_Institution
Shanghai Pudong Inst. of Educ. Dev., Shanghai, China
fYear
2009
fDate
10-12 Nov. 2009
Firstpage
497
Lastpage
501
Abstract
In 2003 year, Beijing SARS epidemic is a process of gray system, which related to government decision-making, health prevention and treatment, scientific research, transportation, architectural building of site, indigenous communities, material suppliers and so on. The published data of SARS cases from March 31th to April 18th are not allowed to incomplete data. So that the author studied the ways to fill the data into the large array, and on May 9th completion the modeling of the Beijing SARS. The model successfully predicted the cumulative eventual number of SARS cases at 2512 people (the actual number is 2521 people), about May 21th new SARS cases entered the single-digit growth stage, during the days from May 30th to June 10th entered the saturation phase of zero growth. Model prediction accuracy has reached 99.2%.
Keywords
diseases; grey systems; Beijing SARS epidemic; government decision making; gray Verhulst modeling prediction; health prevention; scientific research; Accuracy; Buildings; Communities; Computer science education; Decision making; Diseases; Intelligent structures; Intelligent transportation systems; Local government; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4914-9
Electronic_ISBN
978-1-4244-4916-3
Type
conf
DOI
10.1109/GSIS.2009.5408262
Filename
5408262
Link To Document