TY - JOUR
T1 - Mathematical modeling of COVID-19 with partial comorbid subpopulations and two isolation treatments in Indonesia
AU - Rois, Muhammad Abdurrahman
AU - Fatmawati,
AU - Alfiniyah, Cicik
N1 - Publisher Copyright:
© 2023, International Journal of Mathematics and Computer Science.All Rights Reserved.
PY - 2023
Y1 - 2023
N2 - In this study, we analyze a mathematical model of COVID-19 with comorbidity to understand the transmission dynamics of COVID-19 with other infectious diseases. Mathematical analyses were presented, including model validation, positivity and boundedness of solutions, equilibrium points, basic reproduction number, and stability of the equilibrium point. Moreover, this disease is endemic in Indonesia, with the obtained basic reproduction number R0 = 1.57.
AB - In this study, we analyze a mathematical model of COVID-19 with comorbidity to understand the transmission dynamics of COVID-19 with other infectious diseases. Mathematical analyses were presented, including model validation, positivity and boundedness of solutions, equilibrium points, basic reproduction number, and stability of the equilibrium point. Moreover, this disease is endemic in Indonesia, with the obtained basic reproduction number R0 = 1.57.
KW - COVID-19
KW - basic reproduction number
KW - comorbid subpopulations
KW - stability
UR - http://www.scopus.com/inward/record.url?scp=85151272341&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85151272341
SN - 1814-0424
VL - 18
SP - 233
EP - 242
JO - International Journal of Mathematics and Computer Science
JF - International Journal of Mathematics and Computer Science
IS - 2
ER -
