Thesis Abstract

Meningococcal disease is a serious health threat in the human body which begins rapidly with a relative high case fatality rate particularly in the absence of treatment and thus is a priority when it comes to prevention. Delayed treatment can lead to death or invasive meningococcal disease which causes complications such as neurologic disorder, loss of limbs, hearing loss and paralysis even in survivors. In this work, therefore the main objective is to investigate the epidemiology of meningococcal meningitis in Obuasi municipality to develop a model for predict the spreading and combating of cerebrospinal meningitis within the municipality. Using SEIR model we employed the simple Susceptible-Exposed-Infectious and Recovered model to compute those affected ones. The model equations are solved numerically with MatLab that employ Runge-Kutta method. Simulation and sensitivity analysis are then performed on the model equations to determine the effect of the parameter values on the spread of the disease.

Thesis Overview