- theory and concepts
- decision theory
- decision psychology
- probability/bayes
- preferences/values
- priority setting/ethics
- costing methods
- models and tools
- mathematical models
- state-transition
- dynamic transmission
- microsimulation
- calibration/validation
- dynamic simulation
- cost-effectiveness analysis
- infectious diseases
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Resources Repository
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Teaching PackPublication, Teaching Resource 2022Teaching Pack: Using Test Information I
In this teaching pack on Using Test Information I, students review the performance of a …
In this teaching pack on Using Test Information I, students review the performance of a dichotomous test and the relationship between sensitivity and specificity, calculate likelihood ratios to describe test performance, and conduct probability revision using the odds-LR form of Bayes. Materials include an instructor's note, videos, companion slides, a glossary, an annotated bibliography, and sample exercises. Learning Objectives Calculate four conditional probabilities describing the performance of a dichotomous test, and explain the…
Probability/Bayes | Health/Medicine | Child/Nutrition | Test Performance | Decision Analysis | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
Tutorial/PrimerPublication, Teaching Resource 2015Economic Evaluations with Agent-Based Modelling: An Introduction
This tutorial presents the basic concepts and important features of agent-based models, and provides a …
This tutorial presents the basic concepts and important features of agent-based models, and provides a case study of a simple cost effectiveness analysis of screening for an infectious disease. Agent-based modelling (ABM) is a relatively new technique, which overcomes some of the limitations of other methods commonly used for economic evaluations. These limitations include linearity, homogeneity and stationarity. Agents in ABMs are autonomous entities, who interact with each other and with the environment. ABMs provide…
Dynamic Simulation | Mathematical Models | Health/Medicine | Infectious Diseases | Graduate | Doctoral | Professional | Conceptual Mapping | Quantitative Literacy -
Lesson/ModuleWeb Portal, Teaching Resource 2011Epidemics: Modelling with Mathematics
This learning module explores mathematically modeling disease epidemics. Through video clips, Dr. Julia Gog and …
This learning module explores mathematically modeling disease epidemics. Through video clips, Dr. Julia Gog and Dr. Andrew Conlan explain simple mathematical models for how disease spreads through populations, and how these models can be built upon for more complex modelling. These models can be used to predict epidemics, and in turn, help to mitigate their risks. Related resources, such as activities, worksheets, and presentations, are available to help students investigate mathematical modelling. These activities are…
Mathematical Models | Health/Medicine | Infectious Diseases | Science/Technology | Global | High School | College | Critical Thinking/Analysis | Decision Making/Leadership -
Tools/ModelsInteractive, Teaching Resource 2020Interactive Graphic: Interpreting a COVID-19 Test Result
Currently, the most common diagnostic test for COVID-19 relies on reverse transcriptase polymerase chain reaction …
Currently, the most common diagnostic test for COVID-19 relies on reverse transcriptase polymerase chain reaction (RT-PCR), and most often uses samples obtained from the respiratory tract by nasopharyngeal swab. This interactive graphic demonstrates the influence of the prior probability of COVID-19, the test sensitivity (i.e., the probability of a positive test conditional on disease presence), and the test specificity (i.e., the probability of a negative test conditional on disease absence) on the post-test probability of…
Probability/Bayes | Health/Medicine | Infectious Diseases | Test Performance | Clinical Care | Science/Technology | High School | College | Graduate | Doctoral | Professional | Graphics/Visualization | Quantitative Literacy