EA Algorithm Model for Spread Estimating and Countermeasures Evaluating

摘要：

Based on presupposition that the population is variable, we build a series of solvable ODE models and provide an EA algorithm model to estimate the spread of HIV/AIDS, evaluate different countermeasures to HIV/AIDS and analyze the development of ARV-resistant disease strains. As conclusions, three main periods spread of HIV/AIDS, and finally comes to the stable spread period; the limitations and applications of the antiretroviral (ARV) drug therapies; the minimum proportion of vaccination in a country to eliminate HIV/AIDS.

关键词： AIDS/HIV ODE EA ARV vaccine high performance computing

作者: Siyuan Liu Chao Liu Yu Liu Chunzhe Zhao

作者单位: Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen, China Institute of C Institute of Computing Technology Chinese Academy of Sciences Beijing, China College of Mathematics and System Science Shandong University Jinan, China Academy of Mathematics and System Science Chinese Academy of Sciences Beijing, China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 1135-1138

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）