Resources Repository
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ArticlePublication 2016Using Top-Down and Bottom-Up Costing Approaches in LMICs
In the absence of routine cost data collection, estimating the incremental costs of scaling-up novel …
In the absence of routine cost data collection, estimating the incremental costs of scaling-up novel technologies in low-income and middle-income countries is a methodologically challenging and substantial empirical undertaking. Using the example of costing the scale-up of Xpert Mycobacterium tuberculosis (MTB)/resistance to riframpicin (RIF) in South Africa, the authors estimate costs, by applying two distinct approaches of bottom-up and top-down costing, together with an assessment of processes and capacity. The unit costs measured using the…
Cost-Effectiveness Analysis | Economics/Finance | Global | Infectious Diseases | Costing Methods | Health Systems | Health/Medicine -
Lesson/ModuleWeb Portal, Teaching Resource 2014Maths and Our Health
This learning module provides teaching packs to explore biomedical real-world applications of probability and statistics …
This learning module provides teaching packs to explore biomedical real-world applications of probability and statistics in decision-making. Each pack provides videos and supplemental materials, including presentations, worksheets, and games. Topics include: “Eating Bacon Sandwiches is Bad for You!” Evaluating Risk Epidemics: Modelling with Mathematics Life Saving Maths: How Does Vaccination Work? The Economics of Health: How Do We Decide? The Test is Positive: But What Are the Odds It’s Wrong?
Decision Theory | Economics/Finance | Global | Infectious Diseases | Test Performance | Mathematical Models | Decision Analysis | Child/Nutrition | Chronic Disease/Risk | Health/Medicine | Science/Technology | Middle School | High School | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ReviewPublication 2006Public Health Policy for Cervical Cancer Prevention: Decision Science, Economic Evaluation, & Mathematical Modeling
Several factors are changing the landscape of cervical cancer control, including a better understanding of …
Several factors are changing the landscape of cervical cancer control, including a better understanding of the natural history of human papillomavirus (HPV), reliable assays for detecting high-risk HPV infections, and a soon to be available HPV-16/18 vaccine. There are important differences in the relevant policy questions for different settings. By synthesizing and integrating the best available data, the use of modeling in a decision analytic framework can identify those factors most likely to influence outcomes,…
Cost-Effectiveness Analysis | Economics/Finance | Global | Infectious Diseases | Mathematical Models | Decision Analysis | Chronic Disease/Risk | Health/Medicine | Science/Technology