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
Destiny S. Lutero, Timothy Robin Y. Teng, Mark Anthony C. Tolentino; Mathematical analysis of a COVID-19 SEIQR model with time-varying transmission. AIP Conf. Proc. 24 January 2024; 3016 (1): 020002. https://doi.org/10.1063/5.0192872
