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Time series analysis on the total number of patients treated for malaria fever (between 2001 ans 2010)

 

Table Of Contents


Chapter ONE

1.1 Introduction
1.2 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 Time Series Analysis
2.2 History of Malaria Fever
2.3 Epidemiology of Malaria
2.4 Factors Influencing Malaria Incidence
2.5 Treatment Protocols for Malaria
2.6 Impact of Climate Change on Malaria
2.7 Previous Studies on Malaria Treatment
2.8 Data Sources for Malaria Fever Analysis
2.9 Statistical Models for Time Series Analysis
2.10 Technology in Malaria Treatment Monitoring

Chapter THREE

3.1 Research Design
3.2 Data Collection Methods
3.3 Sampling Techniques
3.4 Variables and Measures
3.5 Data Analysis Procedures
3.6 Ethical Considerations
3.7 Reliability and Validity of Data
3.8 Statistical Tools Used

Chapter FOUR

4.1 Overview of Data Analysis
4.2 Trends in Malaria Treatment Cases
4.3 Seasonal Variation in Malaria Incidence
4.4 Impact of Interventions on Malaria Cases
4.5 Demographic Factors and Malaria Treatment
4.6 Comparison of Treatment Outcomes
4.7 Challenges in Malaria Treatment
4.8 Future Implications of Findings

Chapter FIVE

5.1 Summary of Findings
5.2 Conclusion
5.3 Recommendations for Future Research
5.4 Implications for Public Health
5.5 Practical Applications of Study

Project 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.

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