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/).

Download article (PDF)

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  -