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 | Global | Infectious Diseases | Health/Medicine | Science/Technology | High School | College | Critical Thinking/Analysis | Decision Making/Leadership -
ArticlePublication 2010Empirically Evaluating Decision-Analytic Models
To augment model credibility, evaluation via comparison to independent, empirical studies is recommended. The authors …
To augment model credibility, evaluation via comparison to independent, empirical studies is recommended. The authors developed a structured reporting format for model evaluation and conducted a structured literature review to characterize current model evaluation recommendations and practices. As an illustration, they applied the reporting format to evaluate a microsimulation of human papillomavirus and cervical cancer. The model's outputs and uncertainty ranges were compared with multiple outcomes from a study of long-term progression from high-grade precancer…
Calibration/Validation | North America | Infectious Diseases | Microsimulation | Chronic Disease/Risk | Health/Medicine -
ArticlePublication 2007Modeling HPV and Cervical Cancer in the U.S. for Analyses of Screening and Vaccination
This paper discusses a model of human papillomavirus (HPV) and cervical cancer that incorporates uncertainty …
This paper discusses a model of human papillomavirus (HPV) and cervical cancer that incorporates uncertainty about the natural history of disease that was used to provide quantitative insight into U.S. policy choices for cervical cancer prevention. The authors developed a stochastic microsimulation of cervical cancer that distinguishes different HPV types by their incidence, clearance, persistence, and progression. For each set of sampled input parameters, likelihood-based goodness-of-fit (GOF) scores were computed based on comparisons between model-predicted…
Calibration/Validation | North America | Infectious Diseases | Microsimulation | Chronic Disease/Risk | Clinical Care | Health/Medicine | Science/Technology -
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 | Global | Infectious Diseases | Decision Analysis | Cost-Effectiveness Analysis | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Science/Technology -
ReviewPublication 2003Public Health Policy and Cost-Effectiveness Analysis
This chapter presents an overview of the uses for cost-effectiveness analysis and disease-simulation modeling to …
This chapter presents an overview of the uses for cost-effectiveness analysis and disease-simulation modeling to rigorously evaluate alternatives to reduce mortality from cervical cancer. Scientific advances have provided opportunities over time to revisit strategies for cervical cancer prevention. How to invest health resources wisely, such that public health benefits are maximized-and opportunity costs are minimized-is a critical question in the setting of enhanced cytologic screening methods, human papillomavirus DNA testing, and vaccine development. Developing sound…
Mathematical Models | Global | Infectious Diseases | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Policy/Regulation | Health/Medicine