Research on Computer Aided Computation of Infectious Disease SIR Model Algorithm Based on Parameter Control. Issue 3 (October 2020)

• Record Type: Journal Article
• Authors: Wang, Jiale; Liu, Hailin; Gao, Runshan; Ye, Jiahui; Yang, Chen; Zhang, Zhijie
• Is Part Of: Journal of physics. Volume 1650:Issue 3(2020)
• Publication Date: 2020-10
• Subjects: Parameter control -- computer algorithm -- SIR model -- infectious disease prevention; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1650/3/032043
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: The algorithm proposed in this paper conceives the process of solving optimization problems as a process in which an infectious disease spreads among several individuals in an ecosystem. Its propagation law can be described by the SIR infectious disease model. Infectious diseases attack certain locations in several disease-causing genes of individuals. For different individuals, which disease genes and which sites are attacked are completely random; if an individual is cured, which immune genes and which sites are immunized are also completely random. Because of the problem of determining the growth rate of the number of infectious diseases, and improved SIR model is established, combined with historical data to quantitatively predict the future growth rate of the number of infected people, to formulate corresponding disease prevention and control measures.