Resources Repository
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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 | Infectious Diseases | Health/Medicine | Science/Technology | Global | High School | College | Critical Thinking/Analysis | Decision Making/Leadership -
ArticlePublication 2009Cost-Effectiveness of HPV Vaccination and Cervical Cancer Screening in Women Aged 30+ Years in the U.S.
The objective of the study was to assess the health and economic outcomes of HPV …
The objective of the study was to assess the health and economic outcomes of HPV vaccination in older U.S. women. The authors conducted a cost-effectiveness analysis with an empirically calibrated model using data from published literature; interventions included HPV vaccination added to screening strategies that differ by test (cytology or HPV DNA testing), frequency, and start age versus screening alone.They found that in the context of annual or biennial screening, HPV vaccination of women aged…
Microsimulation | Infectious Diseases | Cost-Effectiveness Analysis | Chronic Disease/Risk | Clinical Care | Economics/Finance | Health/Medicine | Science/Technology | North America -
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,…
Mathematical Models | Infectious Diseases | Decision Analysis | Cost-Effectiveness Analysis | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Science/Technology | Global -
BookPublication 2003WHO Guide to Cost-Effectiveness Analysis
This 2003 guide provides a method of assessing the cost-effectiveness of health interventions for an …
This 2003 guide provides a method of assessing the cost-effectiveness of health interventions for an international audience. The authors aim to inform the policy maker and to maximize the generalizability of results across settings. Part I begins with a description of cost-effectiveness analysis. It then considers issues relating to study design, estimating costs, assessing health effects, discounting, uncertainty and sensitivity analysis, and reporting results. Part II provides examples to illustrate the principles in Part I. Detailed discussions…
Mathematical Models | Health Systems | Priority Setting/Ethics | Costing Methods | Health Outcomes | Evidence Synthesis | Cost-Effectiveness Analysis | Health/Medicine | Global -
ReviewPublication 2001Modeling for Health Care and Other Policy Decisions: Uses, Roles and Validity
This is a review article of the role of modeling approaches to guide decision making …
This is a review article of the role of modeling approaches to guide decision making in health care and other domains. The role of models to support recommendations on the cost-effective use of medical technologies and pharmaceuticals is controversial. At the heart of the controversy is the degree to which experimental or other empirical evidence should be required prior to model use. The authors argue that the controversy stems in part from a misconception that…
Mathematical Models | Health Systems | Priority Setting/Ethics | Evidence Synthesis | Technology Assessment | Environmental Health | Policy/Regulation | Business/Industry | Climate/Environment | Economics/Finance | Energy/Engineering | Government/Law | Health/Medicine | North America