Mathematical model of cerebrospinal meningitis in obuasi municipality of ashanti region, ghana
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
- 1.2Background of study
- 1.3Problem Statement
- 1.4Objective of study
- 1.5Limitation of study
- 1.6Scope of study
- 1.7Significance of study
- 1.8Structure of the research
- 1.9Definition of terms
Chapter TWO
LITERATURE REVIEW
- 2.1Overview of Cerebrospinal Meningitis
- 2.2Historical Perspective
- 2.3Epidemiology of Cerebrospinal Meningitis
- 2.4Risk Factors and Transmission
- 2.5Clinical Presentation and Diagnosis
- 2.6Treatment and Management
- 2.7Prevention and Control Measures
- 2.8Global Impact of Cerebrospinal Meningitis
- 2.9Current Research and Innovations
- 2.10Gaps in Knowledge
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design
- 3.2Population and Sample Selection
- 3.3Data Collection Methods
- 3.4Data Analysis Techniques
- 3.5Ethical Considerations
- 3.6Validity and Reliability
- 3.7Limitations of the Methodology
- 3.8Research Timeline and Budget
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- 4.1Overview of Findings
- 4.2Descriptive Statistics
- 4.3Inferential Statistics
- 4.4Comparison of Results with Existing Literature
- 4.5Discussion of Key Findings
- 4.6Implications of Findings
- 4.7Recommendations for Future Research
- 4.8Practical Applications and Policy Implications
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Conclusion
- 5.3Contributions to Knowledge
- 5.4Implications for Practice
- 5.5Recommendations for Action
Project Abstract
<p> 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. <br></p>Project Overview
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