TY - JOUR
T1 - Optimizing tuberculosis control
T2 - a comprehensive simulation of integrated interventions using a mathematical model
AU - Peter, Olumuyiwa James
AU - Abidemi, Afeez
AU - Fatmawati, Fatmawati
AU - Ojo, Mayowa M.
AU - Oguntolu, Festus Abiodun
N1 - Publisher Copyright:
© 2024 by the authors.
PY - 2024/9/30
Y1 - 2024/9/30
N2 - Tuberculosis (TB) remains a formidable global health challenge, demanding effective control strategies to alleviate its burden. In this study, we introduce a comprehensive mathematical model to unravel the intricate dynamics of TB transmission and assess the efficacy and cost-effectiveness of diverse intervention strategies. Our model meticulously categorizes the total population into seven distinct compartments, encompassing susceptibility, vaccination, diagnosed infectious, undiagnosed infectious, hospitalized, and recovered individuals. Factors such as susceptible individual recruitment, the impact of vaccination, immunity loss, and the nuanced dynamics of transmission between compartments are considered. Notably, we compute the basic reproduction number, providing a quantitative measure of TB transmission potential. Through this comprehensive model, our study aims to offer valuable insights into optimal control measures for TB prevention and control, contributing to the ongoing global efforts to combat this pressing health challenge.
AB - Tuberculosis (TB) remains a formidable global health challenge, demanding effective control strategies to alleviate its burden. In this study, we introduce a comprehensive mathematical model to unravel the intricate dynamics of TB transmission and assess the efficacy and cost-effectiveness of diverse intervention strategies. Our model meticulously categorizes the total population into seven distinct compartments, encompassing susceptibility, vaccination, diagnosed infectious, undiagnosed infectious, hospitalized, and recovered individuals. Factors such as susceptible individual recruitment, the impact of vaccination, immunity loss, and the nuanced dynamics of transmission between compartments are considered. Notably, we compute the basic reproduction number, providing a quantitative measure of TB transmission potential. Through this comprehensive model, our study aims to offer valuable insights into optimal control measures for TB prevention and control, contributing to the ongoing global efforts to combat this pressing health challenge.
KW - basic reproduction number
KW - drug resistance
KW - preventive strategies
KW - Tuberculosis
UR - http://www.scopus.com/inward/record.url?scp=85206850014&partnerID=8YFLogxK
U2 - 10.53391/mmnsa.1461011
DO - 10.53391/mmnsa.1461011
M3 - Article
AN - SCOPUS:85206850014
SN - 2791-8564
VL - 4
SP - 238
EP - 255
JO - Mathematical Modelling and Numerical Simulation with Applications
JF - Mathematical Modelling and Numerical Simulation with Applications
IS - 3
ER -
