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…
Calibration/Validation | Health/Medicine | Chronic Disease/Risk | Dynamic Transmission | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Health Systems | Clinical Care | Economics/Finance | Science/Technology | North America -
ArticlePublication 2008Mathematical Models of Cervical Cancer Prevention in the Asia Pacific Region
This article reports on a model-based approach to estimate averted cervical cancer cases and deaths, …
This article reports on a model-based approach to estimate averted cervical cancer cases and deaths, disability-adjusted life years (DALYs) and incremental cost-effectiveness ratios (I$/DALY averted) for vaccination of young adolescent girls against human papillomavirus (HPV) types 16 and 18. The authors used population-based and epidemiologic data for 25 countries in Asia (22 GAVI-Alliance eligible countries, Thailand, China and Japan). They found that an absolute reduction in lifetime cancer risk varied across countries, depending on incidence,…
Mathematical Models | Calibration/Validation | Health/Medicine | Chronic Disease/Risk | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Health Systems | Economics/Finance | Science/Technology | Asia & Pacific -
ArticlePublication 2008Development of an Empirically Calibrated Model of Gastric Cancer in Two High-Risk Countries
This paper presents an empirically calibrated mathematical model of gastric cancer and H. pylori in …
This paper presents an empirically calibrated mathematical model of gastric cancer and H. pylori in China and Colombia to provide qualitative insight into the cost-effectiveness of gastric cancer prevention strategies. Despite studies that have established the relationship between Helicobacter pylori and gastric cancer and H. pylori treatment reducing cancer incidence among individuals without preexisting precancerous lesions, screening for H. pylori is still being debated. The authors synthesized…!--?xml:namespace prefix = "o" ns = "urn:schemas-microsoft-com:office:office" /-->
Mathematical Models | Calibration/Validation | Health/Medicine | Chronic Disease/Risk | Microsimulation | Infectious Diseases | Latin America & Caribbean | Asia & Pacific -
ArticlePublication 2007Multiparameter Calibration of a Natural History Model of Cervical Cancer
This paper presents a two-step approach to model calibration of a comprehensive natural history model …
This paper presents a two-step approach to model calibration of a comprehensive natural history model of human papillomavirus (HPV) and cervical cancer. Using primary epidemiologic data from a longitudinal study of women in Brazil, a plausible range for each input parameter was identified that would produce model output within the 95% confidence intervals of the data. The authors then performed a simultaneous search over all input parameters to identify parameter sets that produced output consistent…
Mathematical Models | Calibration/Validation | Health/Medicine | Chronic Disease/Risk | Microsimulation | Infectious Diseases | Latin America & Caribbean -
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…
Mathematical Models | Calibration/Validation | Health/Medicine | Chronic Disease/Risk | State-Transition | Infectious Diseases | North America -
ArticlePublication 2024Extended Cost-Effectiveness Analysis of Interventions to Improve Uptake of Diabetes Services in South Africa
This study examines the potential impact of a conditional cash transfer (CCT) program on diabetes …
This study examines the potential impact of a conditional cash transfer (CCT) program on diabetes diagnosis and treatment service utilization in South Africa (SA) using extended cost-effectiveness analysis (ECEA). Applying a Markov model over a 45-year period, the analysis compares costs, health benefits, and financial risk protection (FRP) attributes of different CCT strategies, drawing from SA-specific data. Three scenarios were simulated: covering diagnosis services only, treatment services only, and both diagnosis and treatment services. Cost-effectiveness,…
Mathematical Models | Health/Medicine | Policy/Regulation | Chronic Disease/Risk | Health Outcomes | Cost-Effectiveness Analysis | Sub-Saharan Africa -
ArticlePublication 2023Cost-Effectiveness of Pharmacist Prescribing for Managing Hypertension
This study estimates the cost-effectiveness of implementing a pharmacist-prescribing intervention to improve blood pressure control …
This study estimates the cost-effectiveness of implementing a pharmacist-prescribing intervention to improve blood pressure control in the US. A cost-effectiveness analysis was conducted using a Markov model based on the pharmacist-prescribing intervention used in The Alberta Clinical Trial in Optimizing Hypertension (or RxACTION). Outcomes included cardiovascular (CV) events, end-stage kidney disease events, life years, quality-adjusted life years (QALYs), lifetime costs, and lifetime incremental cost-effectiveness ratio (ICER). Costs were based on reimbursement rates, published literature, national…
Mathematical Models | Health/Medicine | Chronic Disease/Risk | State-Transition | Cost-Effectiveness Analysis | Clinical Care | North America -
ArticlePublication 2023Designing Guidelines for Those Who Do Not Follow Them: Impact of Adherence Assumptions on Optimal Screening Guidelines
This study examines the impact of real-world screening adherence on the cost-effectiveness of cervical cancer …
This study examines the impact of real-world screening adherence on the cost-effectiveness of cervical cancer screening guidelines. Using a microsimulation model of cervical carcinogenesis, the researchers projected long-term health and economic outcomes for 18 screening algorithms under various adherence scenarios. These included perfect adherence, eight high- and low-coverage "random-complier" scenarios, and three "systematic-complier" scenarios reflecting conditional screening behavior over a lifetime. Results showed that perfect adherence favored the least intensive screening strategy, while any level…
Mathematical Models | Health/Medicine | Chronic Disease/Risk | Microsimulation | Cost-Effectiveness Analysis -
ArticlePublication 2023Calibration and Validation of the Colorectal Cancer and Adenoma Incidence and Mortality (CRC-AIM) Microsimulation Model Using Deep Neural Networks
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, …
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, using the Colorectal Cancer (CRC)-Adenoma Incidence and Mortality (CRC-AIM) model as a case study. ML algorithms, including deep neural networks (DNN), were trained and compared using data generated from the CRC-AIM model to predict various outcomes. The DNN outperformed other algorithms and efficiently predicted outcomes, reducing computational burden significantly. The calibrated CRC-AIM model demonstrated cross-model validity against established CISNET models…
Calibration/Validation | Health/Medicine | Chronic Disease/Risk | Microsimulation | North America