Time series analysis on the total number of patients treated for malaria fever (between 2001 ans 2010)
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 Malaria Fever
- 2.2Historical Perspectives
- 2.3Global Impact of Malaria
- 2.4Epidemiology of Malaria
- 2.5Symptoms and Diagnosis
- 2.6Treatment and Prevention
- 2.7Socioeconomic Factors
- 2.8Impact on Public Health
- 2.9Current Research Trends
- 2.10Future Directions
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design
- 3.2Data Collection Methods
- 3.3Sampling Techniques
- 3.4Variables and Measurements
- 3.5Data Analysis Procedures
- 3.6Ethical Considerations
- 3.7Reliability and Validity
- 3.8Research Limitations
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- 4.1Descriptive Statistics
- 4.2Time Series Analysis
- 4.3Trend Analysis
- 4.4Seasonal Variation
- 4.5Correlation Analysis
- 4.6Regression Analysis
- 4.7Forecasting Models
- 4.8Interpretation of Results
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Conclusions
- 5.3Implications of the Study
- 5.4Recommendations
- 5.5Contributions to Knowledge
- 5.6Research Limitations
- 5.7Areas for Future Research
- 5.8Final Remarks
Thesis Abstract
This project work reveled the rate at which people are infected with malaria the least square method used for analysis showed that people are infected with malaria irrespective of the time and seasons of a successive year,
There is no noticeable direction as regarding the number of patient treated for malaria over time.
Also, the analysis from autoregressive moving average report shows that both autoregressive and moving average of order four were both appropriate while the report from autocorrelation and autocovanance does not indicate any noticeable trend in the number of patients treated for malaria.
Thesis Overview
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