期刊论文详细信息
AIMS Mathematics
Stability analysis of SARS-CoV-2/HTLV-I coinfection dynamics model
article
A. M. Elaiw1  A. S. Shflot1  A. D. Hobiny1 
[1] Department of Mathematics, Faculty of Science, King Abdulaziz University;Department of Mathematics, Faculty of Science, King Khalid University
关键词: COVID-19;    SARS-CoV-2;    HTLV-I;    coinfection;    global stability;    Lyapunov function;   
DOI  :  10.3934/math.2023310
学科分类:地球科学(综合)
来源: AIMS Press
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【 摘 要 】

Although some patients with coronavirus disease 2019 (COVID-19) develop only mild symptoms, fatal complications have been observed among those with underlying diseases. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative of COVID-19. Human T-cell lymphotropic virus type-I (HTLV-I) infection can weaken the immune system even in asymptomatic carriers. The objective of the present study is to formulate a new mathematical model to describe the co-dynamics of SARS-CoV-2 and HTLV-I in a host. We first investigate the properties of the model's solutions, and then we calculate all equilibria and study their global stability. The global asymptotic stability is examined by constructing Lyapunov functions. The analytical findings are supported via numerical simulation. Comparison between the solutions of the SARS-CoV-2 mono-infection model and SARS-CoV-2/HTLV-I coinfection model is given. Our proposed model suggest that the presence of HTLV-I suppresses the immune response, enhances the SARS-CoV-2 infection and, consequently, may increase the risk of COVID-19. Our developed coinfection model can contribute to understanding the SARS-CoV-2 and HTLV-I co-dynamics and help to select suitable treatment strategies for COVID-19 patients who are infected with HTLV-I.

【 授权许可】

CC BY   

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