Time series analysis on the total number of patients treated for malaria fever | Blazingprojects Postgraduate Thesis
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Time series analysis on the total number of patients treated for malaria fever

 

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 Burden of Malaria
  • 2.4Symptoms and Diagnosis of Malaria
  • 2.5Treatment of Malaria
  • 2.6Prevention and Control Strategies
  • 2.7Impact of Climate Change on Malaria
  • 2.8Socioeconomic Factors and Malaria
  • 2.9Technological Advances in Malaria Research
  • 2.10Current Trends in Malaria Management

Chapter THREE

SYSTEM DESIGN AND IMPLEMENTATION

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

Chapter FOUR

SYSTEM TESTING AND EVALUATION

  • 4.1Overview of Data Analysis
  • 4.2Descriptive Statistics
  • 4.3Time Series Analysis Techniques
  • 4.4Regression Analysis
  • 4.5Hypothesis Testing
  • 4.6Interpretation of Results
  • 4.7Comparison with Previous Studies
  • 4.8Recommendations for Future Research

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • 5.1Conclusion and Summary
  • 5.2Summary of Findings
  • 5.3Implications of the Study
  • 5.4Practical Applications
  • 5.5Contributions to Knowledge
  • 5.6Recommendations for Practice
  • 5.7Recommendations for Policy
  • 5.8Areas for Future Research

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

<p> </p><p><strong>1.0</strong><strong>INTRODUCTION</strong></p><p>The term time series refers to one the quantitative method used in determination pattern in data collected over time e.g weekly monthly, quarterly or yearly.</p><p>Time service is the statistic tool or methodology that can be used to transform past experience to predict future event which would enable the researcher or organization to plan.</p><p>It gives information about how the particular case of study has been behaving in the past and present and such information can be used in prediction The number of people treated for malaria fever at the otan Ayegbaju management hospital. Comprehensive health centre otan. We are going to seen how change occur over mouths in each year in the occurrence of the disease in the hospital. &nbsp;As a result of this, we will be able to know certain factor responsible for increase or decrease in the rate of infection of the disease over the period of time.</p><p>Record of time series data can be made in the following ways:-</p><p>A. &nbsp; <strong>THROUGH CUMULATIVE FIGURES:-</strong>&nbsp;these represent value of input through the quarter. We must always bear in mind the different when handling time series data and as certain which particular type we are dealing with in every case.</p><p>B. &nbsp; <strong>CUMULATIVE TYPE ADDED COMPILATION:-</strong>&nbsp;some cases when an added compilation introduced for the cumulative type of data the figure which are related to month of the year and not &nbsp;the total for month. further more the characteristic movement, seasonal variation Irregular variation in the analysis of time series, we have two types of model are generally accepted as good approximation of the true data association among the component of observed data, they are the most commonly assumed relationship between time series and its components. These are additive model and Multiplicative mode. All time series contain at least on of four of its components. These components are:-</p><p>1. &nbsp; &nbsp;Long term trend</p><p>2. &nbsp; &nbsp;Seasonal variation</p><p>3. &nbsp; &nbsp;Cyclical variation</p><p>4. &nbsp; &nbsp;Irregular or random variation value</p><p><strong>IRREGULAR OR RANDOM COMPONENT</strong></p><p>This venation cannot BE attributed to any of three previously discussed component in the sense that is unpredictable.</p><p>Irregulars flotation can be cause by many factor such as war, flood drought and other human as action. Two type of irregular variation may exit in a time series viz. minor and major irregularities minor irregularities show up as serivtooth like pattern are under the long term trend. These irregularited are in organization long term operation:</p><p><strong>MODELS OF TIME SERIES</strong></p><p>We usually denote the component of time series as T,TS,C and I: There Are Two Types Of Modern That Are Appropriate For Joining Component Of Time Series these moderns are additive and multiplicative modern.</p><p>The additive moder assumes that the valve of the original data is the sum total of other four elements it is:</p><p>T=T+S+C+I where</p><p>T is value of the originally conserved data (dependent)</p><p>T is the value of secular or trend</p><p>S is the value ofr cyclical venation and</p><p>I is the value of irregular venation</p><p>Mufti active modern on the other hand assumes that the value of the observed data is the Y = TSCI</p><p><strong>1.1 BACKGROUND OF STUDY</strong></p><p>one of the factor that determine the population of a country, state local government e.t.c is death rate, that is to say, the more the disease infected the population of such an area and vice-versa. The fact prompted the writer into the study of quarterly number of people given treatment for malaria at the comprehensive health centre otan ayegbaju, in addition to that it is done to know weather infected people come to the hospital fur test or they stay back due to the old custom self medication.</p><p>In order to carry our the analysis data will be collected from daily record of the hospital at record department over some years to get all necessity information so as to carry out computation and predict about the nearest future by using secondary method of data collection.</p><p><strong>1.2</strong><strong>SCOPE AND COVERAGE OF THE STUDT</strong></p><p>This project work was carried out on the number of people treated for malaria fever between year 2001 to 2010. The data was collected from the &nbsp;comprehensive health centre Otan Ayegbaju osun state.</p><p><strong>AIM AND OBJECTIVE OF THE STUDY</strong></p><p>i. &nbsp; &nbsp; &nbsp; &nbsp;to know whether the yearly spread of malaria is increasing pr decreasing.</p><p>ii. &nbsp; &nbsp; &nbsp; &nbsp;To formulate a model that can best explain the relationship between malaria increases over the years</p><p>iii. &nbsp; &nbsp; &nbsp; &nbsp;To use the modern to forecast the occurrence of malaria</p><p>iv. &nbsp; &nbsp; &nbsp; &nbsp;To plot the graph of the original data i.e occurrence of malaria against year correlogram and moving average.</p><p><strong>1.3</strong><strong>SOURCES OF DATA COLLECTION</strong></p><p>Data used for research are of two main sources: these source are primary and secondary data.</p><p>Primary data are fresh data which are collected for the task at hand. An example of such is census registration for cards.</p><p>Secondary data on the other hand are data dreaded in existence. They are originally collected for some purpose other than research current problem. They can be collected from school, hospital organization, government agencies, newspaper, monthly or annual report e.t.c thus a secondary data is used in this project.</p><p><strong>1.4 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; LIMITATION OF THE STUDY</strong></p><p>As we know that a researcher is bound to face certain problem. various problem were encountered before during and after data collection</p><p>The problem are:-</p><p>Poor storage, which make the transfer of data difficult Data were not properly recorded and in some cases, we have missing value.</p><p>Also data for some period are missing from the record office: those were available were poorly recorded this establishing one of the major.</p><p>Disadvantage of a secondary data usage data</p><p><strong>collection :-</strong>&nbsp;before the data was released to me, I had to present a cover letter from the HOD and my student identify card and also promised that the data would be used for statistical purpose only.</p> <br><p></p>

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