Resources Repository
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ArticlePublication 2021New Microsimulation Models to Inform Cervical Cancer Control
Health decision models consider the lifetime natural history of human papillomavirus (HPV) infection and pathogenesis …
Health decision models consider the lifetime natural history of human papillomavirus (HPV) infection and pathogenesis of cervical cancer, and estimate the long-term impact of preventive interventions. We propose a new health decision modeling framework that de-emphasizes previously used cytologic-colposcopic-histologic diagnoses, which are subjective and lack reproducibility, relying instead on HPV type and duration of infection as the major determinants of model transition probabilities. We posit that new model health states and corollary transitions are universal,…
Infectious Diseases | Mathematical Models | Microsimulation | Calibration/Validation | Decision Analysis | Cost-Effectiveness Analysis | Global -
ArticlePublication 2022Early HPV Natural History Transitions
Microsimulation models used to evaluate the cost-effectiveness of novel cervical cancer screening technologies rely on …
Microsimulation models used to evaluate the cost-effectiveness of novel cervical cancer screening technologies rely on accurate transition risks for human papillomavirus (HPV) infection, persistence (or absence of HPV clearance), progression to precancerous lesions, and invasion. To inform the refinement of such models, we compared the early natural history of HPV types using prospective data from immunocompetent women in the Guanacaste Natural History Study, the ASCUS-LSIL Triage Study, and the Costa Rica HPV Vaccine Trial. We…
Infectious Diseases | Mathematical Models | Microsimulation | Cost-Effectiveness Analysis | North America | Latin America & Caribbean -
ArticlePublication 2019Projected U.S. State-Level Prevalence of Adult Obesity and Severe Obesity
This analysis estimates state-specific and demographic subgroup-specific trends and projections of the prevalence of categories …
This analysis estimates state-specific and demographic subgroup-specific trends and projections of the prevalence of categories of body-mass index (BMI) in the United States. Self-reported BMI from the Behavioral Risk Factor Surveillance System Survey (1993-1994 and 1999-2016) were obtained and corrected for quantile-specific self-reporting bias. Multinomial regressions were then fitted for each state and subgroup to estimate the prevalence of four BMI categories from 1990 through 2030: underweight or normal weight (BMI <25), overweight (25 to…
Social Determinants | Health Outcomes | Mathematical Models | Calibration/Validation | Chronic Disease/Risk | North America -
ArticlePublication 2022Excess Mortality and Elevated Body Weight in the U.S.
This analysis estimates excess mortality associated with elevated body weight in the United States by …
This analysis estimates excess mortality associated with elevated body weight in the United States by state and demographic subgroup. The authors developed a nationally-representative microsimulation (individual-level) model of US adults between 1999 and 2016, based on risk factor data from the Behavioral Risk Factor Surveillance System and body-mass index (BMI) mortality hazard ratios from a global pooling dataset. The model was calibrated to empirical all-cause mortality rates from CDC WONDER by state and subgroup, and…
Social Determinants | Health Outcomes | Microsimulation | Calibration/Validation | Chronic Disease/Risk | North America -
ArticlePublication 2021Impact of COVID-19 on Cancer Diagnosis and Survival in Chile
This paper estimates the impact of the COVID-19 pandemic on delays in cancer diagnosis in …
This paper estimates the impact of the COVID-19 pandemic on delays in cancer diagnosis in Chile, using a microsimulation model of five cancers: breast, cervix, colorectal, prostate, and stomach. The model simulates cancer incidence and progression, as well as stage-specific cancer detection and survival probabilities, and was calibrated to empirical data on monthly detected cases, stage at diagnosis, and 5-year net survival. The analysis accounted for the impact of COVID-19 on month-by-month excess mortality and…
Infectious Diseases | Health Outcomes | Microsimulation | Calibration/Validation | Chronic Disease/Risk | Latin America & Caribbean -
ArticlePublication 2022Comparing Health Gains, Costs & Cost-Effectiveness of Interventions in Australia & New Zealand
This paper synthesizes the health gains, costs, and cost-effectiveness of health interventions in Australia and New …
This paper synthesizes the health gains, costs, and cost-effectiveness of health interventions in Australia and New Zealand (NZ) from studies conducted with comparable methods, and reports results in the form of an online interactive league table. Studies from the Australia Cost-Effectiveness research and NZ Burden of Disease Epidemiology, Equity and Cost-Effectiveness Programmes and studies were included which reported health-adjusted life years (HALYs) and net health system costs and/or incremental cost-effectiveness ratios, used a time horizon of…
Infectious Diseases | Priority Setting/Ethics | Cost-Effectiveness Analysis | Chronic Disease/Risk | Mental Health | Health Systems | Health/Medicine | Asia & Pacific | Oceania -
ArticlePublication 2022Cost-Effectiveness & Value-of-Information Analysis Using Machine Learning-Based Metamodeling: A Case of Hepatitis C Treatment
This study compares machine learning (ML)-based metamodels with conventional metamodeling approaches in replicating the outcomes …
This study compares machine learning (ML)-based metamodels with conventional metamodeling approaches in replicating the outcomes of a complex simulation model of hepatitis C virus (HCV) natural history. Three ML-based metamodels (random forest, support vector regression, and artificial neural networks) and a linear regression-based metamodel were developed from the simulation model's 40 input parameters. Performance evaluation included root mean squared error (RMSE) and Pearson's R2 on normalized data. ML-based metamodels generally outperformed linear regression, with random…
Infectious Diseases | Mathematical Models | Chronic Disease/Risk | Health/Medicine -
ArticlePublication 2022Hospitalization Costs for COVID-19 in Ethiopia: Empirical Data and Analysis from Addis Ababa's Largest Dedicated Treatment Center
This study examines the comprehensive costs of hospitalization for COVID-19 disease at Ekka Kotebe COVID-19 …
This study examines the comprehensive costs of hospitalization for COVID-19 disease at Ekka Kotebe COVID-19 treatment center in Addis Ababa, Ethiopia, the largest dedicated hospital for COVID-19 patient care in the country. Through retrospective collection and analysis of clinical and cost data from March to November 2020, including personnel time, drugs, medical supplies, and facility utilities, the study estimates the cost per treated COVID-19 episode stratified by disease severity. Over the study period, 2,543 COVID-19…
Infectious Diseases | Costing Methods | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2022Child Health Inequity through Case Management of Under-Five Malaria in Nigeria: An ECEA
This study assesses the potential impact of subsidies covering the direct and indirect costs of …
This study assesses the potential impact of subsidies covering the direct and indirect costs of under-five malaria case management in Nigeria, utilizing an extended cost-effectiveness analysis (ECEA) and a decision tree model. Findings reveal that fully subsidizing medical, non-medical, and indirect costs could annually avert over 19,000 under-five deaths, 8,600 cases of catastrophic health expenditure (CHE), and US$187 million in out-of-pocket (OOP) spending. Per US$1 million invested, this translates to a significant reduction in under-five…
Infectious Diseases | Health Outcomes | Mathematical Models | Cost-Effectiveness Analysis | Child/Nutrition | Policy/Regulation | Health/Medicine | Sub-Saharan Africa