Resources Repository
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ArticlePublication 2021Anti-Vaccination Infodemic on Social Media: A Behavioral Analysis
Vaccinations are without doubt one of the greatest achievements of modern medicine, and there is …
Vaccinations are without doubt one of the greatest achievements of modern medicine, and there is hope that they can constitute a solution to halt the ongoing COVID-19 pandemic. However, the anti-vaccination movement is currently on the rise, spreading online misinformation about vaccine safety and causing a worrying reduction in vaccination rates worldwide. In this historical time, it is imperative to understand the reasons of vaccine hesitancy, and to find effective strategies to dismantle the rhetoric…
Science/Technology | Preferences/Values | Infectious Diseases | Social Determinants | Culture/Society | Government/Law | Health/Medicine | North America -
ArticlePublication 2018Addressing Health-Related Misinformation on Social Media
Policy makers and the social media industry grapple with the challenge of curbing fake news, …
Policy makers and the social media industry grapple with the challenge of curbing fake news, disinformation, and hate speech; and the field of medicine is similarly confronted with the spread of false, inaccurate, or incomplete health information. This viewpoint argues that medical, public health, social science, and computer science experts must begin working together via interdisciplinary research to address health misinformation on social media, with a focus on the following four themes: (1) defining the…
Science/Technology | Decision Psychology | Social Determinants | Culture/Society | Health/Medicine | North America -
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…
Science/Technology | Probability/Bayes | Test Performance | Technology Assessment | Infectious Diseases | Clinical Care | Health/Medicine -
Resource PackPublication, Teaching Resource 2021Resource Pack: Role of Heuristics in Avalanche Education
Making decisions about backcountry skiing requires one to predict, manage, and mitigate avalanche risk. Individuals …
Making decisions about backcountry skiing requires one to predict, manage, and mitigate avalanche risk. Individuals need to understand and be comfortable with the language of probability, as well as appreciate the cognitive biases that can come into play in the context of decision making. This collection includes articles that range from early attempts to identify “heuristic traps,” based on a retrospective analysis of avalanche accidents in the United States more than 20 years ago, to…
Climate/Environment | Decision Psychology | Probability/Bayes | Injuries/Accidents | Culture/Society | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership -
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…
Science/Technology | Decision Psychology | Preferences/Values | Infectious Diseases | Social Determinants | Policy/Regulation | Culture/Society | Education/Labor | Government/Law | Health/Medicine | North America -
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…
Science/Technology | Probability/Bayes | Test Performance | Infectious Diseases | Clinical Care | Health/Medicine | 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…
Science/Technology | Probability/Bayes | Test Performance | Infectious Diseases | Health/Medicine | Global -
DataPublication 2019Global Multidimensional Poverty Index 2019: Illuminating Inequalities
This data publication developed by the United Nations Development Programme (UNDP) and the Oxford Poverty …
This data publication developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) offers data for 101 countries and 5.7 billion people, comparing acute multidimensional poverty at regional, national, and subnational levels using the global Multidimensional Poverty Index (MPI). The global MPI, developed by the OPHI in 2010, is one tool to comprehensively measure progress towards Sustainable Development Goal (SDG) 1, which aims to end poverty in all…
Climate/Environment | Health Outcomes | Social Determinants | Health Systems | Economics/Finance | Education/Labor | Global -
Resource PackPublication, Teaching Resource 2024Resource Pack: Introduction to Benefit-Cost Analysis
This resource pack, curated by the Center for Health Decision Science, introduces the theory and …
This resource pack, curated by the Center for Health Decision Science, introduces the theory and practice of benefit-cost analysis. It is targeted towards advanced students as well as practitioners and those interested in teaching benefit-cost analysis. Benefit-cost analysis (also referred to as cost-benefit analysis) is a well-established and widely-used form of economic evaluation. It is designed to inform policy and other decisions by providing evidence on the consequences of alternative interventions. In benefit-cost analysis, all…
Climate/Environment | Preferences/Values | Priority Setting/Ethics | Decision Analysis | Benefit-Cost Analysis | Social Determinants | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | Global | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis