Statistical Applications in the Analysis of Vaccine Preventable Diseases

Statistical Applications in the Analysis of Vaccine Preventable Diseases

Abstract

Disease outbreaks are a constant threat to public health and so effective management of these outbreaks is vital. By using statistical methods, we can better understand how a disease is affecting populations and monitor the progression of diseases over time. This thesis applies and develops statistical methods to studies of vaccine-preventable disease outbreaks in Scotland and aims to aid in the detection and management of outbreaks.

Publication
University of Strathclyde

Chapter List:

  1. Introduction
  2. Tuberculosis in Scotland
    • Finding Potential Strain Clusters
  3. Characteristics of 2009 Pandemic Influenza in Scotland
  4. Methods of Estimating Reproductive Numbers (Literature Review)
  5. Estimation of Reproductive Numbers for 2009 Pandemic Influenza in Scotland
    • Spatial Method
  6. Studies of Influenza Vaccine Effectiveness (Literature Review)
  7. Influenza Vaccine Effectiveness in Scotland
    • Season 2011-12 and 2012-13
  8. Conclusions
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Alan Yeung
Research Fellow and Analyst

Applied statistician, currently working mainly on blood borne viruses. Supporter of all things R.