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

Chapter THREE

RESEARCH METHODOLOGY

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

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

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

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

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

Project Abstract

<p> 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,<br>There is no noticeable direction as regarding the number of patient treated for malaria over time.<br>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. <br></p>

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