Resources Repository
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Resource PortalWeb Portal, Teaching Resource 2024Millennium Mathematics Project (MMP)
The Millennium Mathematics Project (MMP), a collaboration between the Faculties of Mathematics and Education at the …
The Millennium Mathematics Project (MMP), a collaboration between the Faculties of Mathematics and Education at the University of Cambridge, is a maths education and outreach initiative for ages 3 to 19 and the general public. The focus is on increasing mathematical understanding, confidence and enjoyment, developing problem-solving skills, and promoting creative and imaginative approaches to maths. The project consists of a family of complementary programmes, including the NRICH website, Plus online mathematics magazine, Wild Maths, and…
Probability/Bayes | Mathematical Models | Health/Medicine | Environmental Health | Infectious Diseases | Test Performance | Decision Analysis | Risk Analysis | Child/Nutrition | Science/Technology | Europe | High School | College | Graphics/Visualization | Quantitative Literacy -
Resource PackPublication, Teaching Resource 2017Resource Pack: Disease Control Priorities
This resource pack, curated by the Center of Health Decision Science, showcases selected analyses produced …
This resource pack, curated by the Center of Health Decision Science, showcases selected analyses produced by the Disease Control Priorities 3 (DCP3) to inform program design and resource allocation at the global and country levels. Analyses focus on the effectiveness, cost, and cost-effectiveness of priority interventions. Learn more by visiting the DCP3 website.
Benefit-Cost Analysis | Health/Medicine | Economics/Finance | Infectious Diseases | Costing Methods | Evidence Synthesis | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Mental Health | Injuries/Accidents | Health Systems | Global | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Policy Translation | Quantitative Literacy -
Tutorial/PrimerPublication, Teaching Resource 2015White Paper: Retrospective Benefit-Cost Analysis
In this article the authors consider how benefit-cost analysis can be used retrospectively to promote …
In this article the authors consider how benefit-cost analysis can be used retrospectively to promote understanding of the impacts after a policy is implemented. Serving as a brief primer, the authors propose that analysis can be useful for identifying needed reforms as well as in improving the conduct of future prospective analyses. The major challenges relate to estimating what would have occurred in the absence of the policy and separating the effects of the policy…
Benefit-Cost Analysis | Culture/Society | Economics/Finance | Environmental Health | Priority Setting/Ethics | Social Determinants | Policy/Regulation | Government/Law | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Policy Translation -
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 -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Probability Revision and Bayes
In this teaching pack on Probability Revision and Bayes, students are introduced to the implications …
In this teaching pack on Probability Revision and Bayes, students are introduced to the implications of imperfect information, acquire a conceptual understanding of Bayes theorem, and gain practical skills in performing probability revision. Materials include an instructor's note, videos, companion slides, a glossary, an annotated bibliography, sample exercises, and additional support. Learning Objectives Demonstrate a conceptual understanding of Bayes’ theorem and probability revision. Differentiate between test characteristics (e.g., probability of positive test given…
Probability/Bayes | Health/Medicine | Environmental Health | Test Performance | Decision Analysis | College | Graduate | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
Lesson/ModuleWeb Portal, Teaching Resource 2016Educational Module: Models and Practice
This module is an introduction to models and to their role in regulatory decision-making, and …
This module is an introduction to models and to their role in regulatory decision-making, and is intended for non-scientists from a variety of different backgrounds including law, journalism, public policy, and business. The module covers three main themes: (1) Core lessons on using models for policy making; (2) Key questions on the art and science of modeling including how models differ from other scientific techniques; and (3) Key ideas on using models in policy-making including how…
Mathematical Models | Health/Medicine | Environmental Health | Priority Setting/Ethics | Policy/Regulation | Business/Industry | Climate/Environment | Government/Law | Science/Technology | Global | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Conceptual Mapping | Decision Making/Leadership -
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