The multi-object optimization of a medicine delivery system of Ebola

DOI

10.2991/icmemtc-16.2016.163How to use a DOI?

Keywords

the Epidemic Model SIQR; The Analytic Hierarchy Process; Ebola

Abstract

After analyzing the data from WHO, we choose Guinea to be an example to simulate our model. We rst predict the trend of infected people by using the Epidemic Model SIQR. After analyzing the epidemic of Guinea, we learn that Ebola in Guinea has reached its maximum and it is in decline now. So we determine the demand of medicine according to the current situation. Then, we summarize the data and use the Analytic Hierarchy Process to nd out 3 distribution centers from 6 heavily infected cities with respect to four criterion which are the most critical. In the nal part of the basic model, we take a numerical example to validate the availability of our model and the agreement between the mathematical experiment and the reality shows the rationality 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/).

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TY  - CONF
AU  - Yue Song
PY  - 2016/04
DA  - 2016/04
TI  - The multi-object optimization of a medicine delivery system of Ebola
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 831
EP  - 834
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.163
DO  - 10.2991/icmemtc-16.2016.163
ID  - Song2016/04
ER  -