Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Identification the mathematical model of the transmission TB/HIV co-infection in endemic areas. / Kabanikhin, Sergey; Krivorotko, Olga; Kashtanova, Victoriya et al.
Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 77-81 8109841.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Identification the mathematical model of the transmission TB/HIV co-infection in endemic areas
AU - Kabanikhin, Sergey
AU - Krivorotko, Olga
AU - Kashtanova, Victoriya
AU - Latyshenko, Varvara
N1 - Publisher Copyright: © 2017 IEEE.
PY - 2017/11/14
Y1 - 2017/11/14
N2 - The mathematical model of the spread of TB and HIV co-infection is theoretically investigated. The sensitivity analysis is carried out based on eigenvalue method for the Hessian of sensitivity matrix. Numerical results are shown that six parameters (from 15 available) are identifiable uniquely by the given data only about numbers of infectious TB individuals with and without HIV and full-blown AIDS individuals during at least 3 years. The sensitivity analysis is closed to investigation of linearized inverse problem (parameter identification) for dynamic systems and very important before applying a numerical method for solving arising inverse problem.
AB - The mathematical model of the spread of TB and HIV co-infection is theoretically investigated. The sensitivity analysis is carried out based on eigenvalue method for the Hessian of sensitivity matrix. Numerical results are shown that six parameters (from 15 available) are identifiable uniquely by the given data only about numbers of infectious TB individuals with and without HIV and full-blown AIDS individuals during at least 3 years. The sensitivity analysis is closed to investigation of linearized inverse problem (parameter identification) for dynamic systems and very important before applying a numerical method for solving arising inverse problem.
KW - HIV
KW - Identifiability
KW - Inverse problem
KW - Mathematical model
KW - Sensitivity analysis
KW - TB
UR - http://www.scopus.com/inward/record.url?scp=85040528307&partnerID=8YFLogxK
U2 - 10.1109/SIBIRCON.2017.8109841
DO - 10.1109/SIBIRCON.2017.8109841
M3 - Conference contribution
AN - SCOPUS:85040528307
SP - 77
EP - 81
BT - Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017
Y2 - 18 September 2017 through 22 September 2017
ER -
ID: 9133539