Resources Repository
-
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…
Test Performance | Infectious Diseases | Probability/Bayes | Technology Assessment | Clinical Care | Health/Medicine | Science/Technology -
EditorialPublication 2020Waiting for Certainty on COVID-19 Antibody Tests — At What Cost?
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation …
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation policy to reduce COVID-19 transmission. For example: Could we screen for serologic antibodies as a proxy for possible immunity and identify people who could return to the workplace with less severe mitigation measures? The authors acknowledge the uncertainties raised by many policy actors, including the WHO, such as, "Do antibodies confer immunity and, if so, for how long? How accurate is…
Test Performance | Infectious Diseases | Probability/Bayes | Technology Assessment | Health Systems | Policy/Regulation | Government/Law | Health/Medicine | Global | North America -
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 | Infectious Diseases | Decision Psychology | Social Determinants | Policy/Regulation | Culture/Society | Education/Labor | Government/Law | Health/Medicine | Science/Technology | North America -
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 | Infectious Diseases | Probability/Bayes | 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 | Infectious Diseases | Probability/Bayes | 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 | Infectious Diseases | Probability/Bayes | Health/Medicine | Science/Technology | Global -
ArticlePublication 2019Assessment of the Feasibility and Cost of Hepatitis C Elimination in Pakistan
This study investigates the feasibility and cost of hepatitis C virus (HCV) elimination in Pakistan …
This study investigates the feasibility and cost of hepatitis C virus (HCV) elimination in Pakistan using a decision analytical model and microsimulation techniques from 2015 to 2030. Various scenarios, including the status quo and seven elimination strategies, were evaluated based on Pakistan-specific variables. Main outcomes included trends in HCV prevalence, mortality, disability-adjusted life-years, and total costs of HCV care. Results suggest that to achieve HCV elimination by 2030, significant scale-up of testing and treatment is…
Decision Analysis | Infectious Diseases | Chronic Disease/Risk | Health/Medicine | Asia & Pacific -
ArticlePublication 2018Should We Treat Acute Hepatitis C? A Decision and Cost-Effectiveness Analysis
This study examines the potential benefits of treating acute hepatitis C virus (HCV) infection compared …
This study examines the potential benefits of treating acute hepatitis C virus (HCV) infection compared to deferring treatment until the chronic phase, utilizing a microsimulation model. By projecting long-term outcomes such as quality-adjusted life years (QALYs) and costs, the analysis evaluates the cost-effectiveness of initiating therapy during the acute phase. Results indicate that treating acute HCV increases QALYs by 0.02 and costs by $483 per patient not at risk of transmitting HCV, yielding an incremental…
Decision Analysis | Infectious Diseases | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health/Medicine | North America -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Building Decision Trees
In this teaching pack on Building Decision Trees, students learn how to structure the elements …
In this teaching pack on Building Decision Trees, students learn how to structure the elements (e.g., objectives, alternatives, probabilities, and outcomes) of a problem into a decision tree model, conduct a baseline analysis of the expected value of different alternatives, assess the value of perfect information, and perform sensitivity analyses. Materials include an instructor's note, videos, companion slides, a glossary, an annotated bibliography, and sample exercises. Learning Objectives Integrate the core elements (alternatives,…
Decision Analysis | Infectious Diseases | Health/Medicine | Global | College | Graduate | Conceptual Mapping | Graphics/Visualization | Quantitative Literacy