Resources Repository
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Lesson/ModuleWeb Portal, Teaching Resource 2014Life Saving Maths: How Does Vaccination Work?
This learning module explores decision-making in vaccinations, and unpacks how epidemics spread through herd immunity. …
This learning module explores decision-making in vaccinations, and unpacks how epidemics spread through herd immunity. Through video clips, Dr. Julia Gog and Dr. Andrew Conlan explain simple mathematical models for infectious disease to illustrate the importance of immunization. Related resources, such as activities, worksheets, and presentations, are available to help students investigate the effects of vaccination. These activities are recommended to be used together but can also be used independently. They are aimed at a…
Dynamic Transmission | Mathematical Models | Infectious Diseases | Health/Medicine | Science/Technology | Global | High School | Critical Thinking/Analysis | Quantitative Literacy -
Tutorial/PrimerPublication, Teaching Resource 2005Refining Clinical Diagnosis with Likelihood Ratios
This article serves as a concise tutorial about the interpretation and use of likelihood ratios …
This article serves as a concise tutorial about the interpretation and use of likelihood ratios in clinical decision-making. Likelihood ratios can refine clinical diagnosis on the basis of signs and symptoms; however, they are underused for patients' care. A likelihood ratio is the percentage of ill people with a given test result divided by the percentage of well individuals with the same result. Ideally, abnormal test results should be much more typical in ill individuals…
Value of Information | Test Performance | Health/Medicine -
Tutorial/PrimerPublication, Teaching Resource 1980Threshold Approach to Clinical Decision Making
This classic paper provides a "tutorial" for students learning about diagnostic testing, probability revision, and …
This classic paper provides a "tutorial" for students learning about diagnostic testing, probability revision, and how to calculate thresholds for testing, treatment, and no treatment. The authors describe how a physician's estimate of the probability that a patient has a particular disease is a principal factor in the determination of whether to withhold treatment, obtain more data by testing, or treat without subjecting the patient to the risks of further diagnostic tests. Using the concepts of decision analysis,…
Value of Information | Probability/Bayes | Test Performance | Decision Analysis | Health/Medicine