Abstract
The Cumulative Sum (CUSUM) Control Chart was widely used in manufacturing industries to monitor process performance, set up standard for the operational parameters, maintaining standard and monitor for improvement. In this study, CUSUM Scheme is designed and implemented to evaluate the performance of programmes on immunization considering vaccination activities and deaths recorded as a result of outbreak of some selected diseases. Also, retrospective analysis was used to determined the occurrence of local maxima or minimum value as observed from the CUSUM chart; regression analysis and analysis of covariance were carried out to determine the expected death rate as a result of outbreak of some selected diseases; and the use of analysis of Covariance to determine the mean difference between the ratio of death to vaccination and their incidence rate in three senatorial districts of kogi state. The data used was collected from Kogi State Ministry of Health, Lokoja. In this research work, It was observed that CUSUM Chart technique is more sensitive at detecting small shift in vaccination and death level in Kogi State. The retrospective study shows that the immunization programme has a positive impact in kogi state, because there was quality improvement in the vaccine administration in the State, this helps to reduce child mortality rate to the minimum level. Also, the regression and analysis of covariance indicate that there was mean difference between the ratios of death to vaccination in all the senatorial districts of kogi state.
TABLE OF CONTENTS
Abstract
CHAPTER ONE
1.0 Introduction
1.1 Background of Study
1.2 Statement of Problems
1.3 Research Objectives
1.4 Research Question
1.5 Research Hypothesis
1.6 Scope of Study
1.7 Significance of study
1.8 Limitation of study
1.9 Definition of terms
CHAPTER TWO
2.0 Literature Review
CHAPTER THREE
3.0 Research methodology
3.1 Research Design
3.2 Population of study
3.3 Sampling Design and Procedure
3.4 Data Collection Instrument
3.5 Administration of Data Collection Instrument
3.6 Methods of data analysis
CHAPTER FOUR
4.0 Data Presentation and Analysis
4.1 Data Presentation
4.2 Test of Hypothesis
CHAPTER FIVE
5.0 Summary, Conclusion and Recommendation
5.1 Summary
5.2 Conclusion
5.3 Recommendation
References
Questionnaire