Title
Prediction-Prevention Mathematic Model Of Ebola'S Spread And Eradication
Abstract
Considering the huge global influence of Ebola, its an urgent task to think out an approach to eradicate its spread. In this paper, we build a Prediction-Prevention mathematic model which succeeds in optimizing the eradication of Ebola. We also call it the P&P model. Firstly, we establish the RISK (Recovered-Infected-Susceptible-Isolated) epidemic model, which is the modified version of classic SIR (Susceptible-Infected-Recovered) epidemic model. Secondly, we establish the Delivery model to better describe the delivery mechanism. The Delivery model is composed of three sub-models: The production model, the transportation model and the distribution model. Finally, the relationship between the RISK model and the delivery model are established. The results show that our model has good robustness and thus more reliable.
Year
DOI
Venue
2015
10.1109/ICInfA.2015.7279574
2015 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION
Keywords
Field
DocType
mathematical model,production,transportation
Distribution model,Epidemic model,Computer science,Operations research,Robustness (computer science),Risk model
Conference
Citations 
PageRank 
References 
0
0.34
1
Authors
4
Name
Order
Citations
PageRank
yannong li100.34
Yi Jiang2427.04
y fu300.34
Jialu Fan434819.01