Resources Repository
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ArticlePublication 2007Decision Analysis: A Personal Account of How It Got Started and Evolved
In this chapter, Howard Raiffa discusses the evolution of decision analysis and his personal involvement …
In this chapter, Howard Raiffa discusses the evolution of decision analysis and his personal involvement in its development. He describes the early days of Operations Research (OR) in the late 1940s with its approach to complex, strategic decision making. After reading John von Neumann and Oskar Morgenstern’s Theory of Games and Economic Behavior (1947) and Abraham Wald’s two books (1947, 1950), he became involved in statistical decision theory. A few years later, after reading Leonard…
Preferences/Values | Operations Research | Decision Theory | Health/Medicine | Probability/Bayes | Decision Analysis | Business/Industry | Economics/Finance | Energy/Engineering -
ArticlePublication 2021Identifying Credible Sources of Health Information in Social Media: Principles and Attributes
Social media is widely used as a source of health information for the general public. …
Social media is widely used as a source of health information for the general public. The potential for information shared through social media to influence health outcomes necessitates action by social media platforms to enhance access and exposure to high-quality, science-based information. This paper summarizes the work of an independent advisory group convened by the National Academy of Medicine that deliberated and gathered information to develop a set of initial principles and attributes that could…
Preferences/Values | Health/Medicine | Education/Labor | Decision Psychology | Social Determinants | Policy/Regulation | Culture/Society | Science/Technology | North America -
ArticlePublication 2021COVID-19, Fake News, and Vaccines: Should Regulation Be Implemented?
This article analyzes issues concerning the establishment of compulsory vaccination against COVID-19, as well as …
This article analyzes issues concerning the establishment of compulsory vaccination against COVID-19, as well as the role of misinformation as a disincentive – especially when published by health professionals – and citizen acceptance of measures in this regard. Data from different surveys revealed a high degree of hesitation rather than outright opposition to vaccines. The most frequent complaint related to the COVID-19 vaccination was the fear of side effects. Within the Spanish and European legislative…
Preferences/Values | Health/Medicine | Education/Labor | Decision Psychology | Infectious Diseases | Social Determinants | Policy/Regulation | Culture/Society | Government/Law | Science/Technology | Global -
ArticlePublication 2020New Fronts in the War on Misinformation
The countless false claims that have spread alongside the novel coronavirus – inaccurate advice about …
The countless false claims that have spread alongside the novel coronavirus – inaccurate advice about how to prevent the virus, for example, and conspiracy theories about its origins – are just the latest manifestation of an ongoing problem: the online proliferation of misinformation about science and health. The National Academies hosted and helped organize three events focused on countering misinformation: The MisinfoCon conference, a Wikipedia Edit-a-thon, and a meeting to explore ways to expand successful…
Preferences/Values | Health/Medicine | Education/Labor | Decision Psychology | Infectious Diseases | Social Determinants | Policy/Regulation | Culture/Society | Government/Law | Science/Technology | North America -
ArticlePublication 2017Using Data-Driven Agent-Based Models to Forecast Emerging Infectious Diseases
This paper describes an agent-based model framework developed to forecast the 2014-15 Ebola epidemic, which …
This paper describes an agent-based model framework developed to forecast the 2014-15 Ebola epidemic, which was subsequently used in the Ebola forecasting challenge. Producing timely and reliable forecasts for an epidemic of an emerging infectious disease is a challenge. Epidemiologists and policy makers have to deal with poor data quality, limited understanding of the disease dynamics, a rapidly changing social environment and the uncertainty around the effects of various interventions in place. In this setting,…
Dynamic Simulation | Calibration/Validation | Health/Medicine | Microsimulation | Infectious Diseases | Sub-Saharan Africa -
ArticlePublication 2017Likelihood Approach for Calibration of Stochastic Epidemic Models
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens …
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens given the importance of chance events when the number of infectious individuals is small. However, methods for parameter estimation and prediction for these types of stochastic models remain limited. This paper describes a calibration and prediction framework for stochastic compartmental transmission models of epidemics. The proposed method applies a linear noise approximation to describe the size of the fluctuations, and…
Dynamic Simulation | Calibration/Validation | Health/Medicine | Dynamic Transmission | Infectious Diseases | Health Systems | Global -
ArticlePublication 2016Estimating Benefits of Regulations Affecting Addictive Goods
The question of how to evaluate lost consumer surplus in benefit−cost analyses is controversial. There …
The question of how to evaluate lost consumer surplus in benefit−cost analyses is controversial. There are clear health benefits of regulations that curb consumption of goods with health risks, such as tobacco products and foods high in fats, calories, sugar, and sodium. Yet, if regulations cause consumers to give up goods they like, the health benefits they experience may be offset by some utility loss, which benefit−cost analyses of regulations need to take into account.…
Preferences/Values | Decision Theory | Health/Medicine | Benefit-Cost Analysis | Mental Health -
ArticlePublication 2015Broader Economic Impact of Vaccination: Reviewing and Appraising the Strength of Evidence
Economic evaluations of public health programs such as immunization often consider only direct health benefits and …
Economic evaluations of public health programs such as immunization often consider only direct health benefits and medical cost savings. Evidence linking immunization to important benefits in indicators such as childhood development, household behavior, and other macro-economic data are unclear. A conceptual framework of the pathways between immunization and these broader economic benefits was developed through expert consultation. The authors obtained articles from previous reviews, snowballing, and expert consultation, and associated them with one of the pathways and assessed them using modified Grading…
Preferences/Values | Health/Medicine | Education/Labor | Priority Setting/Ethics | Costing Methods | Evidence Synthesis | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Infectious Diseases | Social Determinants | Economics/Finance -
ArticlePublication 2015A Conceptual Model for Breast, Cervical, and Colorectal Cancer Screening
General frameworks of the cancer screening process are available, but none directly compare the process …
General frameworks of the cancer screening process are available, but none directly compare the process in detail across different organ sites. This limits the ability of medical and public health professionals to develop and evaluate coordinated screening programs that apply resources and population management strategies available for one cancer site to other sites. This paper presents a conceptual model that incorporates a single screening episode for breast, cervical, and colorectal cancers into a unified framework based…
Preferences/Values | Test Performance | Health/Medicine | Health Outcomes | Evidence Synthesis | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Clinical Care | Science/Technology | North America