Resources Repository
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ArticlePublication 2017Cost-Effectiveness of Testing and Treatment for Latent TB
Testing for and treating latent tuberculosis infection (LTBI) is among the main strategies to achieve …
Testing for and treating latent tuberculosis infection (LTBI) is among the main strategies to achieve TB elimination in the United States. This analysis estimated health outcomes, costs, and cost-effectiveness of LTBI testing and treatment among non-US born residents with and without medical comorbidities (e.g., diabetes, HIV infection, and end-stage renal disease). A decision analytic tree and Markov cohort simulation model was used to compare the following strategies: no testing, tuberculin skin test (TST), interferon gamma release assay…
Microsimulation | North America | Global | Chronic Disease/Risk | Test Performance | State-Transition | Cost-Effectiveness Analysis | Infectious Diseases | Health Systems | Economics/Finance | Health/Medicine -
ArticlePublication 2023New Type 2 Diabetes Microsimulation Model to Estimate Long-Term Health Outcomes, Costs, Cost-Effectiveness
This study presents a microsimulation model designed to estimate the health effects, costs, and cost-effectiveness …
This study presents a microsimulation model designed to estimate the health effects, costs, and cost-effectiveness of interventions for type 2 diabetes in the United States. Unlike existing models that rely on UK data, this model incorporates newly derived risk equations based on US studies, enhancing its applicability to the US context. The model features a highly modular architecture allowing for easy addition of new modules and interventions, facilitating policy decision-making. Internal validation showed good performance,…
Microsimulation | North America | Chronic Disease/Risk | Cost-Effectiveness Analysis | Health/Medicine -
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…
Microsimulation | North America | Chronic Disease/Risk | Calibration/Validation | Health/Medicine -
ArticlePublication 2022Cost-Effectiveness of Masked Hypertension Screening and Treatment
The study assessed the health and economic outcomes of screening and treating masked hypertension in …
The study assessed the health and economic outcomes of screening and treating masked hypertension in U.S. adults using the Cardiovascular Disease (CVD) Policy Model, a microsimulation model. The model simulated 100,000 adults suspected of having masked hypertension (office blood pressure [BP] of 120–129/<80 mm Hg, not on antihypertensive medications, and without a history of CVD). Interventions included: usual care alone, usual care with ambulatory BP monitoring (ABPM), and usual care with home BP monitoring (HBPM).…
Microsimulation | North America | Chronic Disease/Risk | Cost-Effectiveness Analysis | Clinical Care | Health/Medicine -
ArticlePublication 2019Estimating the Total Incidence of Global Childhood Cancer: A Simulation-Based Analysis
This study describes the development of a microsimulation model to simulate childhood cancer incidence for …
This study describes the development of a microsimulation model to simulate childhood cancer incidence for 200 countries/territories, taking into account trends in population growth and urbanicity, geographical variation in cancer incidence, and health system barriers to access and referral that contribute to underdiagnosis. The model was calibrated to publicly available cancer registry data, and the total incidence of childhood cancer (diagnosed and undiagnosed) was estimated for each country in 2015 and projections made to 2030.…
Microsimulation | Global | Chronic Disease/Risk | Health Outcomes | Child/Nutrition | Health Systems -
ArticlePublication 2019Global Childhood Cancer Survival Estimates and Priority-Setting: A Simulation-Based Analysis
This modelling study provides estimates of global childhood cancer survival, accounting for the impact of …
This modelling study provides estimates of global childhood cancer survival, accounting for the impact of multiple factors that affect cancer outcomes in children. The authors developed a microsimulation model to simulate childhood cancer survival for 200 countries/territories, accounting for clinical and epidemiologic factors, including country-specific treatment variables, such as availability of chemotherapy, radiation, and surgery, and calibrated the model to empirical data from the CONCORD-2 and CONCORD-3 studies using an Approximate Bayesian Computation approach. The…
Microsimulation | Global | Chronic Disease/Risk | Priority Setting/Ethics | Health Outcomes | Child/Nutrition | Clinical Care -
ArticlePublication 2020Impact of Treatment and Imaging Modalities on 5-Year Net Survival of 11 Cancers in 200 Countries
This analysis describes the development of a microsimulation model of stage-specific cancer survival in 200 …
This analysis describes the development of a microsimulation model of stage-specific cancer survival in 200 countries/territories for 11 cancers (oesophagus, stomach, colon, rectum, anus, liver, pancreas, lung, breast, cervix uteri, and prostate). The paper estimated current 5-year net survival for diagnosed cancers in each country and potential survival gains from increasing the availability of individual treatment and imaging modalities, and more comprehensive packages of scale-up. Global 5-year net survival for all 11 cancers (combined) is…
Microsimulation | Global | Chronic Disease/Risk | Priority Setting/Ethics | Health Outcomes | Calibration/Validation | Health Systems -
ArticlePublication 2020Role and Contribution of Treatment and Imaging Modalities in Global Cervical Cancer Management
Using a microsimulation model of global cancer survival, this analysis estimates the impact of scaling …
Using a microsimulation model of global cancer survival, this analysis estimates the impact of scaling up treatment and imaging modalities on cervical cancer survival in 200 countries/territories. The paper evaluates the potential survival effect of scaling up treatment (chemotherapy, surgery, radiotherapy, and targeted therapy), and imaging modalities (ultrasound, x-ray, CT, MRI, PET, and single photon emission CT [SPECT]) to the mean level of high-income countries, both individually and in combination. The model estimates that global…
Microsimulation | Global | Chronic Disease/Risk | Priority Setting/Ethics | Health Outcomes | Health Systems -
ArticlePublication 2021Global Costs, Health Benefits, & Economic Benefits of Scaling Up Treatment and Imaging Modalities for Survival of 11 Cancers
This analysis estimated the costs and lifetime health and economic benefits of scaling up imaging …
This analysis estimated the costs and lifetime health and economic benefits of scaling up imaging and treatment modality packages on cancer survival in 200 countries/territories for patients diagnosed with one of 11 cancers (oesophagus, stomach, colon, rectum, anus, liver, pancreas, lung, breast, cervix uteri, and prostate). Using a microsimulation model of global cancer survival, the paper evaluated the costs and health and economic benefits of scaling up packages of treatment (chemotherapy, surgery, radiotherapy, and targeted…
Microsimulation | Global | Chronic Disease/Risk | Priority Setting/Ethics | Health Outcomes | Benefit-Cost Analysis | Health Systems