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 :
بازگشت