MATHEMATICAL MODELLING OF CO-INFECTION OF LASSA FEVER AND COVID-19

被引：0

作者：

Oluwagunwa, A. P. ^{[1
]}

Moremedi, G. M. ^{[1
]}

Neossi-Nguetchue, S. N. ^{[2
]}

Eegunjobi, A. S. ^{[2
]}

机构：

[1] Univ South Africa, Dept Math Sci, Pretoria, South Africa

[2] Namibia Univ Sci & Technol, Dept Math Stat & Actuarial Sci, Windhoek, Namibia

来源：

COMMUNICATIONS IN MATHEMATICAL BIOLOGY AND NEUROSCIENCE | 2025年

关键词：

coinfection; COVID-19; lassa fever; co-epidemi; asymptomatic; VIRUS;

D O I：

10.28919/cmbn/9242

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The prevalence of Lassa fever (LF) and COVID-19 co-infections has been increasing, primarily because their modes of transmission are closely related, making individuals highly susceptible to co-infections. While there is no vaccine for LF, COVID-19 has one. Due to their significant implications, this situation necessitates implementing effective control measures to prevent a co-epidemic of these two diseases in our society. To address this, a deterministic model for LF and the COVID-19 epidemic is considered, highlighting consequences that should be addressed to avoid the challenges associated with a co-epidemic. The model undergoes qualitative analysis, and the primary reproduction number (R0) is derived. Criteria for the stability of each model equilibrium are established. The model is numerically solved and simulated for different co-epidemic scenarios, and the findings from these simulations are discussed.

引用

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