Resources Repository
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Resource PackPublication, Teaching Resource 2018Resource Pack: Model Calibration and Validation
This resource pack, curated by the Center for Health Decision Science, provides broad exposure to …
This resource pack, curated by the Center for Health Decision Science, provides broad exposure to empirical calibration and validation methods for mathematical models used in health decision analysis. Included are a selection of overviews, guidelines, tutorials, and applications. Given the complexity of diseases and variation in data quality, there are invariably a number of parameters that are unobserved or cannot be estimated directly but can be inferred through the process of model calibration. Model calibration…
Microsimulation | Mathematical Models | Calibration/Validation | Health/Medicine | State-Transition | Dynamic Transmission | Dynamic Simulation -
Resource PackPublication, Teaching Resource 2020Resource Pack: Cost-Effectiveness of SSB Excise Taxes
The use of fiscal instruments, such as taxes or subsidies, to promote healthier dietary behavior …
The use of fiscal instruments, such as taxes or subsidies, to promote healthier dietary behavior has been of increasing interest in the last decade as the evidence-base builds for the health and economic consequences of obesity, overweight, and unhealthy eating. The motivation for using fiscal instruments in nutrition policy is to make the unhealthy option less affordable and less economically attractive by increasing the price via a tax, and therefore reduce the incentive to consume…
Microsimulation | Mathematical Models | Health/Medicine | Health Outcomes | Evidence Synthesis | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Policy/Regulation | Business/Industry | Economics/Finance | Food/Agriculture | Government/Law | North America | Latin America & Caribbean | Europe | Oceania -
Resource PackPublication, Teaching Resource 2018Resource Pack: Models for Health Decision Science
This resource pack, curated by the Center for Health Decision Science, provides broad exposure to …
This resource pack, curated by the Center for Health Decision Science, provides broad exposure to mathematical models used in health decision science (e.g., microsimulation, dynamic transmission, agent-based, etc.). Resources include overviews, guidelines, tutorials, and applications relevant to a broad range of clinical and public health topics. A decision analytic approach relies on the use of a mathematical model to formally structure the components of the decision over time. Models are particularly useful when multiple data sources…
Microsimulation | Mathematical Models | Health/Medicine | State-Transition | Dynamic Transmission | Dynamic Simulation | Climate/Environment | Economics/Finance | Science/Technology -
Resource PackPublication, Teaching Resource 2017Resource Pack: CEA Herpes Zoster Vaccine
This resource pack on the cost-effectiveness of herpes zoster vaccination was curated to support Dr. …
This resource pack on the cost-effectiveness of herpes zoster vaccination was curated to support Dr. Lisa Prosser's seminar on November 9, 2017 at the Center for Health Decision Science. Dr. Prosser discussed an economic evaluation of vaccination against herpes zoster. Herpes zoster—more commonly known as shingles—presents a major burden for older Americans but, until recently, the only available vaccine (Zoster Vaccine Live, ZVL) was relatively ineffective past 10 years. A recently approved vaccine–herpes zoster subunit…
Mathematical Models | Health/Medicine | Culture/Society | Preferences/Values | Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | Infectious Diseases | Clinical Care | Science/Technology | North America | Europe -
Resource PackPublication, Teaching Resource 2023Resource Pack: Diagnostic Tests, Bayes, and COVID-19
This resource pack provides a curated set of articles, perspectives, and interactives about diagnostic testing …
This resource pack provides a curated set of articles, perspectives, and interactives about diagnostic testing for COVID-19. The pack provides materials that will be particularly useful for educators who are teaching diagnostic test performance, value of information, and probability revision using Bayes’ theorem. The majority of papers focus on PCR or rapid antigen testing on samples obtained from the respiratory tract by nasopharyngeal swab. The mechanism of false negative results (e.g., timing of sample collection…
Test Performance | Health/Medicine | Probability/Bayes | Value of Information | Decision Analysis | Science/Technology | Global | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
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/Medicine | Priority Setting/Ethics | Costing Methods | Health Outcomes | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Health Systems | Sub-Saharan Africa | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
Tools/ModelsInteractive, Teaching Resource 2020Interactive Graphic: Interpreting a COVID-19 Test Result
Currently, the most common diagnostic test for COVID-19 relies on reverse transcriptase polymerase chain reaction …
Currently, the most common diagnostic test for COVID-19 relies on reverse transcriptase polymerase chain reaction (RT-PCR), and most often uses samples obtained from the respiratory tract by nasopharyngeal swab. This interactive graphic demonstrates the influence of the prior probability of COVID-19, the test sensitivity (i.e., the probability of a positive test conditional on disease presence), and the test specificity (i.e., the probability of a negative test conditional on disease absence) on the post-test probability of…
Test Performance | Health/Medicine | Probability/Bayes | Infectious Diseases | Clinical Care | Science/Technology | High School | College | Graduate | Doctoral | Professional | Graphics/Visualization | Quantitative Literacy -
Resource PackPublication, Teaching Resource 2020Resource Pack: SSB Excise Tax Briefs (CHOICES)
Rising rates of obesity represent one of the greatest public health threats facing the United …
Rising rates of obesity represent one of the greatest public health threats facing the United States. Obesity has been linked to excess consumption of sugary drinks. Federal, state, and local governments have considered implementing excise taxes on sugary drinks to reduce consumption, reduce obesity, and provide a new source of government revenue. This resource pack includes a series of briefs describing analyses conducted by the Childhood Obesity Intervention Cost-Effectiveness Study (CHOICES), evaluating the health and economic impact…
Microsimulation | Health/Medicine | Health Outcomes | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Social Determinants | Policy/Regulation | Business/Industry | Economics/Finance | Government/Law | North America | College | Graduate | Doctoral | Professional | Decision Making/Leadership | Policy Translation | Quantitative Literacy -
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 | Health/Medicine | Priority Setting/Ethics | Operations Research | Infectious Diseases | North America | Professional | Policy Translation