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
- 2.4Pathophysiology of Cerebrospinal Meningitis
- 2.5Clinical Manifestations
- 2.6Diagnostic Approaches
- 2.7Treatment Modalities
- 2.8Prevention and Control Strategies
- 2.9Global Burden of Cerebrospinal Meningitis
- 2.10Current Research and Developments
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design
- 3.2Population and Sampling Techniques
- 3.3Data Collection Methods
- 3.4Data Analysis Procedures
- 3.5Ethical Considerations
- 3.6Research Validity and Reliability
- 3.7Research Limitations
- 3.8Statistical Tools and Software Used
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- 4.1Overview of Research Findings
- 4.2Demographic Characteristics of Study Participants
- 4.3Prevalence and Incidence Rates of Cerebrospinal Meningitis
- 4.4Risk Factors Associated with Cerebrospinal Meningitis
- 4.5Impact of Cerebrospinal Meningitis on the Population
- 4.6Comparison with Previous Studies
- 4.7Implications for Public Health Policy
- 4.8Suggestions for Future Research
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Conclusions
- 5.3Recommendations
- 5.4Contributions to Knowledge
- 5.5Practical Implications
- 5.6Areas for Further Research
- 5.7Reflections on the Research Process
- 5.8Conclusion 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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