Mathematical Modeling for the Transmission of Ebola Virus
- DOI
- 10.2991/iccsae-15.2016.46How to use a DOI?
- Keywords
- SEIR model; Ebola transmission model; Grey Prediction mode
- Abstract
The goal of this model is to optimize the eradication of Ebola, which has been increasingly severe since 2014, causing more than 8966 deaths. Without effective control, human society will face a serious threat. This paper primarily addresses the problem by predicting the trend of Ebola transmission using the modified SIR model—SEIR model. Based on the data from the WHO, the parameters of this model are obtained. From this, epidemic situation in the future can be clearly observed. Besides, relatively accurate data in the short term can be gotten through this Grey Prediction model, which remedies the shortage of SEIR model in the short-term prediction. Thus, Ebola epidemic situation is bound to be eased and possibly be eradicated within a certain period.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Anqi Li PY - 2016/02 DA - 2016/02 TI - Mathematical Modeling for the Transmission of Ebola Virus BT - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering PB - Atlantis Press SP - 239 EP - 244 SN - 2352-538X UR - https://doi.org/10.2991/iccsae-15.2016.46 DO - 10.2991/iccsae-15.2016.46 ID - Li2016/02 ER -