Resources Repository
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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 -
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…
Mathematical Models | Infectious Diseases | Chronic Disease/Risk | Health/Medicine -
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…
Mathematical Models | Infectious Diseases | Health Outcomes | Cost-Effectiveness Analysis | Child/Nutrition | Policy/Regulation | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2021Rational Policymaking during a Pandemic
Policymaking during a pandemic can be extremely challenging. As COVID-19 is a new disease and …
Policymaking during a pandemic can be extremely challenging. As COVID-19 is a new disease and its global impacts are unprecedented, decisions are taken in a highly uncertain, complex, and rapidly changing environment. In such a context, in which human lives and the economy are at stake, the authors argue that using ideas and constructs from modern decision theory, even informally, will make policymaking a more responsible and transparent process.
Decision Theory | Infectious Diseases | Priority Setting/Ethics | Policy/Regulation | Government/Law | Health/Medicine | Science/Technology | Global -
ArticlePublication 2020Infectious Disease Pandemic Planning and Response: Incorporating Decision Analysis
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in …
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in analytical methods for gaining early situational awareness (i.e., of a disease’s transmissibility and severity) and for predicting the likely effectiveness of interventions, a major gap exists globally in terms of integrating this information in policy documents. The authors argue that mathematical and statistical models are important tools for pandemic planning and response. Once an outbreak of pandemic potential has been…
Mathematical Models | Health Systems | Decision Analysis | Government/Law | Health/Medicine | Global -
Resource PackPublication, Teaching Resource 2024Resource Pack: Ethiopian Health Decision Sciences
This resource pack provides a curated set of peer-reviewed articles that represent the growing evidence …
This resource pack provides a curated set of peer-reviewed articles that represent the growing evidence base for decision making and priority setting in Ethiopia - with an emphasis on improving health, reducing inequity, and preventing health-related impoverishment. Curated by Dr. Stéphane Verguet at the Center for Health Decision Science, most of the papers reflect work done as part of the Disease Control Priorities-Ethiopia (DCP-E) project. The pack provides scholarship that spans maternal-child health, vaccine-preventable disease, infectious…
Mathematical Models | Health Systems | Priority Setting/Ethics | Costing Methods | Health Outcomes | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Health/Medicine | Sub-Saharan Africa | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
ToolInteractive, Teaching Resource 2020RAND Critical Care Surge Response Tool
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) …
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) to examine the current critical care capacity in the nation’s hospitals and rapidly explore strategies for increasing capacity to provide care for the sickest COVID-19 patients. The tool was developed by the RAND Corporation in response to the 2020 COVID-19 pandemic. Model input parameters to the Excel spreadsheet include baseline number of beds, critical care doctors and nurses, respiratory therapists,…
Mathematical Models | Infectious Diseases | Priority Setting/Ethics | Operations Research | Health/Medicine | North America | Professional | Policy Translation -
ArticlePublication 2018Poverty Reduction & Equity Benefits of Measles, Rotavirus and Pneumococcal Vaccines in LMICs
This study uses the extended cost effectiveness analysis (ECEA) to evaluate the impact of immunization …
This study uses the extended cost effectiveness analysis (ECEA) to evaluate the impact of immunization against measles, severe pneumococcal disease and severe rotavirus for birth cohorts vaccinated over 2016–2030 for three scenarios in 41 Gavi-eligible countries: no immunization, current immunization coverage forecasts and the current immunization coverage enhanced with funding support. Following the distribution of the cases by socioeconomic group, the study found that the number of catastrophic health costs (CHC) cases attributable to measles,…
Mathematical Models | Infectious Diseases | Priority Setting/Ethics | Cost-Effectiveness Analysis | Child/Nutrition | Health/Medicine | Global -
ArticlePublication 2019Systematic Review of Economic Evaluations of Vaccination Strategies Against Tuberculosis
Bacillus Calmette-Guérin (BCG) is the only licensed vaccine for tuberculosis, but its effectiveness is limited …
Bacillus Calmette-Guérin (BCG) is the only licensed vaccine for tuberculosis, but its effectiveness is limited and varies by age, so a valid cost-effectiveness study is needed to assist decision-makers in the implementation of cost-effective strategies for BCG vaccination. Using the Quality of Health Economic Studies (QHES) instrument, the authors assessed the quality of published studies involving economic evaluations of BCG vaccination strategies in a variety of regions, target populations, and vaccine types. Most of the…
Mathematical Models | Infectious Diseases | Evidence Synthesis | Cost-Effectiveness Analysis | Health/Medicine | Global