Modeling the dynamics of Lassa fever in Nigeria

Abstract Lassa fever is a zoonotic disease spread by infected rodents known as multimammate rats. The has posed significant and major health challenge in West African countries, including Nigeria. To have deeper understanding of epidemiology Nigeria, we present deterministic dynamical model to study its transmission behavior the population. mimic disease’s biological history, divide population into two groups: humans rodents. We established quantity reproduction number $${\mathcal {R}}_{0}$$ R 0 . results show that if {R}}_{0} <1$$ < 1 then system stable, otherwise it unstable. fitting was performed using nonlinear least square method on cumulative reported cases from Nigeria between 2018 2020 obtain best fit describes dynamics this In addition, sensitivity analysis performed, numerical solution derived an iterative scheme, fifth-order Runge–Kutta method. Using different numeric values for each parameter, investigate effect all highest indices’ parameters Our findings indicate any control strategies methods reduce rodent populations risk would aid population’s fever.