Work

Stability analysis of the SEIRS epidemic model with infectious dynamics during latent and infectious periods

Year: 2024

Type: article

Abstract: Coronary pneumonia caused by the SARS-CoV-2 virus was one of the most significant public health threats in recent years. In this paper, we develop and investigate an SEIRS epidemic model that incorporates infectivity during both the latent and infectious stages to characterize the transmission dynamics of COVID-19. By calculating the basic reproduction number (R0) and applying monotonic dynamical system theory along with geometric methods, we validate the threshold theorem. Our analysis demonstrates that the disease-free equilibrium is globally stable when R0 < 1, while the endemic equilibrium becomes globally stable when R0 > 1.

Source: Mathematics and Systems Science

DOI: 10.54517/mss2885

Authors: Guichen Lu, Yifan Miao

Institutions: University of Electronic Science and Technology of China, Chongqing University of Technology

Language: English

Topic: Mathematical and Theoretical Epidemiology and Ecology Models

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

Funders: China Postdoctoral Science Foundation, Chongqing Municipal Education Commission