Mathematical Analysis of a COVID-19 SEIQR Model with Time-Varying Transmission
Document Type
Conference Proceeding
Publication Date
1-24-2024
Abstract
Threshold conditions for a COVID-19 susceptible-exposed-infectious-treated-recovered (SEIQR) model with constant recruitment rate and time-varying transmission rate are studied. Results show that the condition R¯ < 1, with R¯ as the reproduction number of the average system, is sufficient but not necessary to establish the local asymptotic stability of the disease-free equilibrium of the system (SEIQR). Furthermore, as long as R¯ < 1, the disease is eradicated regardless of the number of infectious agents at the beginning.
Recommended Citation
Lutero, Destiny S.; Teng, Timothy Robin; and Tolentino, Mark Anthony C., (2024). Mathematical Analysis of a COVID-19 SEIQR Model with Time-Varying Transmission. Archīum.ATENEO.
https://archium.ateneo.edu/mathematics-faculty-pubs/262