Mathematical model of cerebrospinal meningitis in obuasi municipality of ashanti region, ghana
Table Of Contents
Chapter ONE
1.1 Introduction1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Research
1.9 Definition of Terms
Chapter TWO
2.1 Overview of Cerebrospinal Meningitis2.2 Historical Perspective
2.3 Epidemiology of Cerebrospinal Meningitis
2.4 Pathophysiology of Cerebrospinal Meningitis
2.5 Clinical Manifestations
2.6 Diagnostic Approaches
2.7 Treatment Modalities
2.8 Prevention and Control Strategies
2.9 Global Burden of Cerebrospinal Meningitis
2.10 Current Research and Developments
Chapter THREE
3.1 Research Design3.2 Population and Sampling Techniques
3.3 Data Collection Methods
3.4 Data Analysis Procedures
3.5 Ethical Considerations
3.6 Research Validity and Reliability
3.7 Research Limitations
3.8 Statistical Tools and Software Used
Chapter FOUR
4.1 Overview of Research Findings4.2 Demographic Characteristics of Study Participants
4.3 Prevalence and Incidence Rates of Cerebrospinal Meningitis
4.4 Risk Factors Associated with Cerebrospinal Meningitis
4.5 Impact of Cerebrospinal Meningitis on the Population
4.6 Comparison with Previous Studies
4.7 Implications for Public Health Policy
4.8 Suggestions for Future Research
Chapter FIVE
5.1 Summary of Findings5.2 Conclusions
5.3 Recommendations
5.4 Contributions to Knowledge
5.5 Practical Implications
5.6 Areas for Further Research
5.7 Reflections on the Research Process
5.8 Conclusion and Final Remarks
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
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