Resources Repository
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ArticlePublication 2008Health and Economic Impact of HPV 16 and 18 Vaccination and Cervical Cancer Screening in India
As cervical cancer is a leading cause of cancer death among women in low-income countries, …
As cervical cancer is a leading cause of cancer death among women in low-income countries, with approximately 25% of cases worldwide occurring in India, these authors estimated the potential health and economic impact of different cervical cancer prevention strategies in India. After empirically calibrating a cervical cancer model to country-specific epidemiologic data, they projected cancer incidence, life expectancy, and lifetime costs (I$2005), and calculated incremental cost-effectiveness ratios (I$/YLS) for the following strategies: pre-adolescent vaccination of…
Microsimulation | Science/Technology | Infectious Diseases | Calibration/Validation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Clinical Care | Economics/Finance | Health/Medicine | Asia & Pacific -
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.
Microsimulation | Science/Technology | Infectious Diseases | Mathematical Models | State-Transition | Dynamic Transmission | Dynamic Simulation | Cost-Effectiveness Analysis | Health/Medicine | Global -
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…
Microsimulation | Science/Technology | Infectious Diseases | Calibration/Validation | Chronic Disease/Risk | Clinical Care | Health/Medicine | North America