Resources Repository
-
ArticlePublication 2022Priority Setting in Early Childhood Development: An Analytical Framework
Early childhood development (ECD) sets the foundation for healthy and successful lives with important consequences …
Early childhood development (ECD) sets the foundation for healthy and successful lives with important consequences for education, labor market outcomes, and other domains of well-being. Even though many ECD interventions are implemented and evaluated globally, there is currently no standardized framework for comparing these interventions’ relative cost-effectiveness. The investigators developed an economic evaluation framework that focuses on the immediate impact of ECD interventions targeting motor, cognitive, language, and socioemotional skills. They applied the framework to compute…
Decision Analysis | Priority Setting/Ethics | Cost-Effectiveness Analysis | Child/Nutrition | 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…
Decision Analysis | Mathematical Models | Health Systems | Government/Law | Health/Medicine | Global -
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 -
Resource PackPublication, Teaching Resource 2021Resource Pack: Risk, Economics, and Decisions
This resource pack, curated by the Center for Health Decision Science, includes articles from the …
This resource pack, curated by the Center for Health Decision Science, includes articles from the Risk Analysis special issue “Risk Assessment, Economic Evaluation, and Decisions” honoring Professor John Evans. The special issue was guest edited by CHDS’ Deputy Director Lisa A. Robinson and builds upon a 2019 workshop organized by Ms. Robinson and CHDS faculty James K. Hammitt. Articles include: James K. Hammitt, Lisa A. Robinson. Introduction to Special Issue on Risk Assessment,…
Decision Analysis | Risk Analysis | Policy/Regulation -
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 -
ArticlePublication 2020Testing for SARS-CoV-2 Antibodies
Antibody testing can determine previous exposure to SARS-CoV-2 virus. Recently, the UK government has made …
Antibody testing can determine previous exposure to SARS-CoV-2 virus. Recently, the UK government has made antibody testing available to anyone wanting it, even if there is no clinical indication. The purpose of this article is to provide guidance for when to consider antibody testing in individuals with and without symptoms suggestive of current or past SARS-CoV-2 infection. Key points made by the authors include: (1) antibody testing is likely to be most useful 2 weeks…
Technology Assessment | Probability/Bayes | Test Performance | Infectious Diseases | Clinical Care | Health/Medicine -
ToolInteractive 2020COVID-19 Antibody Tests: Calculator for Interpreting Test Results
Antibody testing can determine previous exposure to SARS-CoV-2 virus. This interactive calculator, linked to the article …
Antibody testing can determine previous exposure to SARS-CoV-2 virus. This interactive calculator, linked to the article below* on antibody testing for SARS-CoV-2 virus, allows users to vary the prior probability of infection, the sensitivity of SARS-CoV-2 antibody testing, and the specificity of SARS-CoV-2 antibody testing. Key points made in the article accompanying the interactive include: (1) antibody testing is likely to be most useful 2 weeks after infection, (2) sensitivity and specificity will vary over time and…
Technology Assessment | Probability/Bayes | Test Performance | Infectious Diseases | Clinical Care | Health/Medicine | Science/Technology