Lassa fever is an acute viral hemorrhagic disease caused by Lassa virus. It is transmitted to humans through direct contactwith infected mastomys natalensis rodents, or through food or household items contaminated with urine or feces of infectedrodents. Nigeria is an endemic country for Lassa fever, the current overall risk at the national level is considered high due toseveral factors including lack of awareness and education about the disease. In this study, a mathematical model of Lassa fevertransmission with perception of risks was developed. The model was parameterized using Lassa fever data from 2017-2022obtained from Nigerian Centers for Disease Prevention and Control. Results of the global sensitivity analysis shows thesignificant impact of rodent-to-rodent, rodent-to-human and human-to-human transmission probabilities, as well as perceptionof risks terms on the response functions. Other influential parameters are the rodent growth and death rates as well as humanrecovery and disease progression rates. Humans’ natural death and disease induced death rates including perception of riskdecay term all have impact on the response functions. The distribution profile of the reproduction number values is within theinterval [0.7801,3.0049] for years 2017–2022. The simulation results show that increase in transmission probabilities increasethe disease burden in the community while increase in perception of risks of the disease decreases the disease burden.