Eradication of Ebola Based on Dynamic Programming

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Abstract

This paper mainly studies the eradication of the Ebola virus, proposing a scientific system, including three modules for the eradication of Ebola virus. Firstly, we build a basic model combined with nonlinear incidence rate and maximum treatment capacity. Secondly, we use the dynamic programming method and the Dijkstra Algorithm to set up M-S (storage) and several delivery locations in West Africa. Finally, we apply the previous results to calculate the total cost, production cost, storage cost, and shortage cost.

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Zhu, J. M., Wang, L., & Liu, J. B. (2016). Eradication of Ebola Based on Dynamic Programming. Computational and Mathematical Methods in Medicine, 2016. https://doi.org/10.1155/2016/1580917

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