Resources Repository
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ExerciseNone, Teaching Resource 2024Lab: Giant Cell Arteritis Decision Tree Model
This tutorial walks through the development of a decision tree model focused on Giant Cell …
This tutorial walks through the development of a decision tree model focused on Giant Cell Arteritis. It describes how to build the model structure, assign probabilities and outcomes based on imperfect test characteristics and epidemiologic estimates, evaluate alternative treatment strategies, and conduct one-way sensitivity analyses to assess which model parameters may impact the optimal treatment choice. Amua, the Swahili word meaning “decide”/“solve”, is an open source modeling framework and probabilistic programming language for decision analysis…
Mathematical Models | Clinical Care | Probability/Bayes | Decision Analysis | Health/Medicine | Graduate | Doctoral | Professional -
Tutorial/PrimerPublication, Teaching Resource 2024Tutorial: CEA of Alternative Colorectal Cancer Screening Strategies in High-Risk Individuals
This self-directed tutorial is about a decision analytic model of Alternative Colorectal Cancer Screening Strategies …
This self-directed tutorial is about a decision analytic model of Alternative Colorectal Cancer Screening Strategies in High-Risk Individuals. This tutorial is based on the publication: Benamouzig R, Barré S, Saurin J-C et al. Cost-Effectiveness Analysis of Alternative Colorectal Cancer Screening Strategies in High-Risk Individuals. Therapeutic Advances in Gastroenterology 2021; 14. About the Alan Colowick Innovation Fund The case-based tutorials in this teaching pack were created with support from the CHDS Alan Colowick Innovation Fund, established with…
Mathematical Models | Clinical Care | Decision Analysis | Health/Medicine | Graduate | Doctoral | Professional -
Tutorial/PrimerPublication, Teaching Resource 2024Tutorial: Introduction to Programming Decision Trees
This self-directed tutorial walks through the development of a decision tree using Amua to evaluate …
This self-directed tutorial walks through the development of a decision tree using Amua to evaluate three initial management strategies for ductal carcinoma in situ (DCIS) based on a published analysis: Soeteman DI, Stout NK, Ozanne EM et al. Modeling the Effectiveness of Initial Management Strategies for Ductal Carcinoma in Situ. J Natl Cancer Inst 2013; 105 (11): 774-781. The tutorial describes how to build the model structure, parameterize the model probabilities and outcomes based on…
Mathematical Models | Clinical Care | Decision Analysis | Health/Medicine | Graduate | Doctoral | Professional -
ArticlePublication 2022Modeling the Effectiveness of Healthcare Personnel Reactive Testing and Screening for the SARS-Cov-2 Omicron Variant within Nursing Homes
The Omicron variant of SARS-CoV-2 has been hypothesized to exhibit faster clearance (time from peak …
The Omicron variant of SARS-CoV-2 has been hypothesized to exhibit faster clearance (time from peak viral concentration to clearance of acute infection), may be less detectable by antigen tests (decreased sensitivity), and may be more likely to evade immunity conferred by past infection or vaccination) compared to prior variants. This calls for a reassessment of strategies to prevent its spread, especially in vulnerable settings like nursing homes. Using a model that tracks viral shedding patterns,…
Mathematical Models | Infectious Diseases | Test Performance | Health/Medicine | North America -
ArticlePublication 2023Benefits and Costs of COVID-19 Vaccine Mandates
Written mid-pandemic, this article evaluates the direct costs and health benefits of requiring COVID-19 vaccinations …
Written mid-pandemic, this article evaluates the direct costs and health benefits of requiring COVID-19 vaccinations for U.S. federal employees and healthcare and private sector workers. These mandates were controversial and some were halted by litigation. If they had been implemented as intended, the net benefits would depend on the course of the pandemic. If a more transmissible variant (such as Omicron) emerges, the net benefits may be large. If the pandemic instead fades, the benefits…
Mathematical Models | Infectious Diseases | State-Transition | Benefit-Cost Analysis | Policy/Regulation | Business/Industry | Economics/Finance | Government/Law | Health/Medicine | North America -
ArticlePublication 2023Out-of-Pocket Expenditures & Financial Risks Associated with Treatment of Vaccine-Preventable Diseases in Ethiopia
This study investigates out-of-pocket (OOP) expenditures and associated catastrophic health expenditures (CHEs) for vaccine-preventable diseases …
This study investigates out-of-pocket (OOP) expenditures and associated catastrophic health expenditures (CHEs) for vaccine-preventable diseases (VPDs) in Ethiopia. Through a cross-sectional costing analysis, data on OOP direct medical and nonmedical expenditures were collected from 995 households in 54 health facilities nationwide. The study focuses on VPDs in children under 5 years for pneumonia, diarrhea, measles, and pertussis, and in children under 15 years for meningitis. Mean OOP expenditures per disease episode ranged from $5·6 to…
Mathematical Models | Child/Nutrition | Costing Methods | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2023Cost-Effectiveness of Novel TB Vaccines: A Modeling Study
A modeling study assessed future costs, cost-savings, and cost-effectiveness of introducing novel tuberculosis (TB) vaccines …
A modeling study assessed future costs, cost-savings, and cost-effectiveness of introducing novel tuberculosis (TB) vaccines in 105 low- and middle-income countries (LMICs) for a range of product characteristics and delivery strategies, compared to a ‘no-new-vaccine’ counterfactual. Vaccine scenarios considered two vaccine product profiles (one targeted at infants, one at adolescents/adults), both assumed to prevent progression to active TB. Vaccine introduction was estimated to require substantial near-term resources, offset by future cost-savings from averted TB burden.…
Mathematical Models | Infectious Diseases | Cost-Effectiveness Analysis | Economics/Finance | Health/Medicine | Global -
ArticlePublication 2022Spatial-Mechanistic Model to Estimate Sub-National Tuberculosis Burden in Brazilian Municipalities
Reliable subnational estimates of TB incidence are needed to focus disease control resources in areas …
Reliable subnational estimates of TB incidence are needed to focus disease control resources in areas of highest need. This study developed an approach for generating small area estimates of TB incidence, and the fraction of individuals missed by routine case detection, based on available notification and mortality data. The approach is demonstrated by estimating TB outcomes for 5568 municipalities in Brazil, revealing substantial subnational differences in disease burden and other metrics useful for designing high-impact…
Mathematical Models | Infectious Diseases | Health Outcomes | Health/Medicine | Latin America & Caribbean -
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…
Mathematical Models | Infectious Diseases | Microsimulation | Cost-Effectiveness Analysis | North America | Latin America & Caribbean