Inhibit the Spread of Ebola
- DOI
- 10.2991/icassr-15.2016.30How to use a DOI?
- Keywords
- Ebola virus, Immune Optimization Algorithm, Convergence Analysis
- Abstract
Nowadays, Ebola epidemic situation is more and more severe and out of control. Taking Sierra Leone as an example, we build a reliable and extensive model to control or at least inhibit the spread of Ebola. We select 16 cities that are affected by Ebola according to the news re¬ports. Taking advantage of the conclusions above, we calculate the daily amount of medicines needed for each cities when considering about the demand for vaccines and drugs. Then, we turn the problem into the Location-Allocation Model skillfully when synthesizing the daily amount of medicines and geographic location, so that we get the five optimal distribution centers. We develop the feasible deliv¬ery system by the Immune Optimal Algorithm, and finally obtain the daily quan¬tity of medicines of each distribution center and the bell's trend curve of daily new cases. At last, we analyze the convergence of the im¬mune algorithm, the resultant curve trends toward the optimal fitness curve, which proves the stability and practicality of our model.
- 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 - He Guo PY - 2016/08 DA - 2016/08 TI - Inhibit the Spread of Ebola BT - Proceedings of the 3d International Conference on Applied Social Science Research PB - Atlantis Press SP - 104 EP - 107 SN - 1951-6851 UR - https://doi.org/10.2991/icassr-15.2016.30 DO - 10.2991/icassr-15.2016.30 ID - Guo2016/08 ER -