Year: 2024
Type: article
Abstract: In this paper, we present a mathematical model to analyze the dynamics of leptospirosis and COVID-19 co-infection. The model used actual data, and estimation of the parameters via the MLE method is performed, which includes the rates of disease transmission, progression of the disease, disease-related death, and recovery rates for each disease and their co-infection. Key parameters: $$\beta _1$$ β 1 , $$\beta _2$$ β 2 , $$\phi _1$$ ϕ 1 , $$\phi _2$$ ϕ 2 , and $$\mu _c$$ μ c are used to characterize the dynamics of the co-infection burden of leptospirosis and COVID-19. The results reveal a notable contrast in transmission dynamics and clinical outcomes between the two diseases, with leptospirosis demonstrating a higher transmission rate and increased morbidity. Co-infections showed more severe clinical outcomes, with higher mortality and delayed recovery than single infections. These findings highlight the importance of targeted public health strategies for managing co-infected populations.
Authors: Muhammad Said, Yunil Roh, Il Hyo Jung
Institution: Pusan National University
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,790
OpenAlex ID: W4404833420