Resources Repository
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ArticlePublication 2008Health and Economic Implications of HPV Vaccination in the U.S.
This article reports on a study using models of HPV-16 and HPV-18 transmission and cervical …
This article reports on a study using models of HPV-16 and HPV-18 transmission and cervical carcinogenesis to compare the health and economic outcomes of vaccinating preadolescent girls in the US (at 12 years of age), and vaccinating older girls and women in catch-up programs (to 18, 21, or 26 years of age). The study also examined the health benefits of averting other HPV-16-related and HPV-18-related cancers, the prevention of HPV-6-related and HPV-11-related genital warts and…
North America | Infectious Diseases | Dynamic Transmission | Microsimulation | Calibration/Validation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Clinical Care | Economics/Finance | Health/Medicine | Science/Technology -
ReviewPublication 2008Cost-Effectiveness of Vaccination: Review of Modelling Approaches
This review examines the modelling approaches used in cost-effectiveness analyses (CEAs) of vaccination programs. After …
This review examines the modelling approaches used in cost-effectiveness analyses (CEAs) of vaccination programs. After overviewing the key attributes of models used in CEAs, a framework for categorizing theoretical models is presented. Categories are based on three main attributes: static/dynamic; stochastic/deterministic; and aggregate/individual based.
Global | Infectious Diseases | Mathematical Models | State-Transition | Dynamic Transmission | Microsimulation | Dynamic Simulation | Cost-Effectiveness Analysis | Health/Medicine | Science/Technology -
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…
North America | Infectious Diseases | Microsimulation | Calibration/Validation | 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,…
Global | Infectious Diseases | Mathematical Models | 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…
Global | Infectious Diseases | Mathematical Models | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Policy/Regulation | Health/Medicine -
ArticlePublication 2002Empirically Calibrated Model of Hepatitis C Virus Infection in the United States
This article presents an epidemiologic model of hepatitis C in the United States. The authors …
This article presents an epidemiologic model of hepatitis C in the United States. The authors used empirical calibration of model parameters to gain insights into uncertainty in the natural history of hepatitis C and to improve future projections. The authors identified model inputs by way of a systematic review. Model simulations were conducted and model predictions were compared with epidemiologic data on infection prevalence and mortality from liver cancer. Goodness-of-fit criteria were used to identify…
North America | Infectious Diseases | Mathematical Models | State-Transition | Calibration/Validation | Chronic Disease/Risk | Health/Medicine -
BookPublication 1978Swine Flu Affair: Decision-Making on a Slippery Disease
This report from the Institute of Medicine, The Swine Flu Affair: Decision-Making on a Slippery …
This report from the Institute of Medicine, The Swine Flu Affair: Decision-Making on a Slippery Disease, was written to review and critique the decisions made around the 1976 swine flu threat. In 1976, a small group of soldiers at Fort Dix were infected with a swine flu virus that was deemed similar to the virus responsible for the great 1918-19 world-wide flu pandemic. The U.S. government initiated an unprecedented effort to immunize every American against…
North America | Infectious Diseases | Decision Analysis | Risk Analysis | Health Systems | Policy/Regulation | Health/Medicine | Science/Technology