Mathematical Modeling of Ebola Virus Infection Mechanism and Drug Distribution Strategy
JI Yuan-xin
ZHU Jia-ming
WANG Xi-yao
HU Xue-feng
Abstract：In view of the Ebola virus outbreak, we select Guinea, Liberia and Sierra Leone which suffer the most serious epidemic. Firstly we analyze the change of Ebola infections with time passing by based on the original epidemic model. Therefore we use differential equations of population growth to simulate the epidemic. Then we focus on the most seriously affected area Guinea to examine whether this place need to develop new drugs through variance analysis. To simplify the problem rationally, we choose pulmonary tuberculosis, with heat, AIDS as main potential subjects to compare them with Ebola virus and estimate the deadline of pharmacy according to the previous condition. Finally, aimed at the creation of drugs, we establish the mechanism for choosing the most appropriate pharmaceutical companies. Hence, we manage to provide the theoretical cooperation program for companies in order to reduce the cost and risk of pharmacy and improve the pharmacy level.
Keywords：Ebola virusdifferential equationvariance analysisepidemic modelMatlab
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 82-86 )