Resources Repository
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ReportPublication 2021Valuing COVID-19 Mortality and Morbidity Risks
In this report, the researchers develop an approach for valuing COVID-19 mortality and morbidity risk …
In this report, the researchers develop an approach for valuing COVID-19 mortality and morbidity risk reductions that builds on the U.S. Department of Health and Human Services (HHS) Guidelines for Regulatory Impact Analysis. They review the differences between COVID-19 mortality risks and the types of risks that are more commonly studied, and find that the impacts of these differences on the value of mortality risk reductions (the value per statistical life, VSL) are uncertain. They…
Benefit-Cost Analysis | Preferences/Values | Infectious Diseases | Policy/Regulation | Government/Law | North America -
ArticlePublication 2020Valuing COVID-19 Mortality Risk
In this article, the author evaluates whether conventional estimates of the value per statistical life …
In this article, the author evaluates whether conventional estimates of the value per statistical life (VSL) in the United States (about $10 million) are appropriate for evaluating policies that affect risk of COVID-19. This estimate may be too large, because: (1) VSL estimates marginal values but COVID-19 risks can be non-marginal; (2) VSL is estimated for the average resident, but COVID-19 mortality is concentrated among the elderly; and (3) the pandemic has caused substantial losses…
Benefit-Cost Analysis | Preferences/Values | Infectious Diseases | Government/Law | Global -
ArticlePublication 2021COVID and the Age–VSL Relationship
In this article, the researchers explore the approach used to value COVID-19 mortality risk reductions …
In this article, the researchers explore the approach used to value COVID-19 mortality risk reductions in analyses of lockdowns and other policies. Many rely on a population-average estimate of the value per statistical life (VSL); others adjust VSL for life expectancy at the age of death. The article explores the implications of theory and empirical studies, which suggest that the relationship between age and VSL is uncertain; these uncertainties in turn may affect whether the…
Benefit-Cost Analysis | Preferences/Values | Infectious Diseases | Government/Law | Health/Medicine | North America -
BookPublication 2022Prioritarianism in Practice
This book describes the application of prioritarianism, a philosophical approach that gives extra weight to …
This book describes the application of prioritarianism, a philosophical approach that gives extra weight to the well-being of those who are worse off. In welfare economics, it can be implemented in the form of a prioritarian social welfare function (SWF). The SWF framework, unlike benefit-cost analysis, uses interpersonally comparable well-being numbers as the foundation for policy assessment. The book illustrates the application of this approach by an international network of scholars, to advance our understanding…
Benefit-Cost Analysis | Graduate -
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…
Benefit-Cost Analysis | Priority Setting/Ethics | Costing Methods | Health Outcomes | Mathematical Models | Cost-Effectiveness Analysis | Health Systems | Health/Medicine | Sub-Saharan Africa | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
ArticlePublication 2020Bayes' Theorem, COVID-19, and Screening Tests
This article reviews the implications of increased testing for COVID-19 using reverse transcriptase polymerase chain …
This article reviews the implications of increased testing for COVID-19 using reverse transcriptase polymerase chain reaction (rRT-PCR) through the application of Bayes’ Theorem for three hypothetical, stylized case scenarios. The scenarios involve three patients with a low, moderate, and high pre-test probability of COVID-19 infection. The category of low probability would include "asymptomatic individuals in a presumed low prevalence environment" and might vary from 10 to 20%. The category of moderate probability would include "individuals…
Test Performance | Probability/Bayes | Infectious Diseases | Clinical Care | Health/Medicine -
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 | Probability/Bayes | Infectious Diseases | Clinical Care | Health/Medicine | Science/Technology | High School | College | Graduate | Doctoral | Professional | Graphics/Visualization | Quantitative Literacy -
ArticlePublication 2020Interpreting COVID-19 Test Results: A Bayesian Approach
This article considers the following question with respect to interpreting the results of polymerase chain reaction …
This article considers the following question with respect to interpreting the results of polymerase chain reaction (PCR) assays from nasal and pharyngeal swabs for COVID-19 to inform clinical decision making: "While a positive result in an acutely ill patient is straightforward, how should physicians interpret negative tests in patients with suspected COVID-19 infection?" Using an assumption of near-perfect specificity of PCR assays for COVID-19, the authors acknowledge the uncertainty of test sensitivity. They consider two clinical scenarios…
Test Performance | Probability/Bayes | Infectious Diseases | Health/Medicine | Science/Technology | Global -
ArticlePublication 2020Translating Population Evidence to Individual Patients
In this paper, the authors describe the differences in population level outcomes compared to individual …
In this paper, the authors describe the differences in population level outcomes compared to individual patients and discuss ways that these are differences. The authors cover topics including the difference between relative and absolute risk and benefit. They use an example of the decision to start anticoagulation in new-onset atrial fibrillation to discuss translating population level evidence to treatment of an individual. These options include generalizability, subgroup analysis, prediction rules, following response to therapy, and even…
Test Performance | Evidence Synthesis | Health Systems | Clinical Care | Health/Medicine