Resources Repository
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Resource PackPublication, Teaching Resource 2023Resource Pack: Diagnostic Tests, Bayes, and COVID-19
This resource pack provides a curated set of articles, perspectives, and interactives about diagnostic testing …
This resource pack provides a curated set of articles, perspectives, and interactives about diagnostic testing for COVID-19. The pack provides materials that will be particularly useful for educators who are teaching diagnostic test performance, value of information, and probability revision using Bayes’ theorem. The majority of papers focus on PCR or rapid antigen testing on samples obtained from the respiratory tract by nasopharyngeal swab. The mechanism of false negative results (e.g., timing of sample collection…
Probability/Bayes | Decision Analysis | Health/Medicine | Test Performance | Value of Information | Science/Technology | Global | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
Tutorial/PrimerPublication, Teaching Resource 2024Tutorial: Building Decision Trees
This tutorial illustrates the basic steps needed to develop decision trees in Amua using a …
This tutorial illustrates the basic steps needed to develop decision trees in Amua using a disease screening example. It details the process of how to build the structure of a decision tree, parameterize the model with probabilities and relevant outcomes (i.e., life expectancy), evaluate three alternative screening strategies in a baseline scenario, and perform one-way sensitivity analyses to assess the robustness of the results to different parameter values. Amua, the Swahili word meaning “decide”/“solve”, is…
Probability/Bayes | Decision Analysis | Health/Medicine | Mathematical Models | Clinical Care | Graduate | Doctoral | Professional -
ExerciseNone, Teaching Resource 2024Lab: Giant Cell Arteritis Decision Tree Model
This tutorial walks through the development of a decision tree model focused on Giant Cell …
This tutorial walks through the development of a decision tree model focused on Giant Cell Arteritis. It describes how to build the model structure, assign probabilities and outcomes based on imperfect test characteristics and epidemiologic estimates, evaluate alternative treatment strategies, and conduct one-way sensitivity analyses to assess which model parameters may impact the optimal treatment choice. Amua, the Swahili word meaning “decide”/“solve”, is an open source modeling framework and probabilistic programming language for decision analysis…
Probability/Bayes | Decision Analysis | Health/Medicine | Mathematical Models | Clinical Care | Graduate | Doctoral | Professional -
ReviewPublication 2023Handbook of Vaccine Health Economics
The open-access book, "Handbook of Applied Health Economics in Vaccines," looks at the complexities of …
The open-access book, "Handbook of Applied Health Economics in Vaccines," looks at the complexities of vaccine discovery, financing, and distribution. It highlights the inadequacy of standard economic models for vaccines. The book explores alternative principles challenging market-based approaches and equips readers with tools for assessing costs and benefits through practical exercises. It serves as a comprehensive resource for decision-making in vaccine development and distribution and emphasizes the importance of considering broader perspectives beyond economic efficiency.…
Evidence Synthesis | Decision Analysis | Health/Medicine | Costing Methods | Health Outcomes | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Policy/Regulation | Global | Graduate | Doctoral | Professional -
ReviewPublication 2022Systematic Review of Economic Evaluations of COVID-19 Interventions: Non-Health Impacts and Distributional Issues
The authors conducted a systematic review of economic evaluations of COVID-19 interventions and assessed whether …
The authors conducted a systematic review of economic evaluations of COVID-19 interventions and assessed whether they incorporated non-health impacts and distributional concerns. Among the 70 articles included, more than half (56%) included at least one non-health impact, although only 21% incorporated non-economic consequences. Only 17% examined subgroups of interest. The median ICER for the entire sample was $67,000/quality-adjusted life-year (QALY) (interquartile range [IQR] $9000-$893,000/QALY). Interventions including a pharmaceutical component yielded a median ICER of $93,000/QALY (IQR…
Evidence Synthesis | Health/Medicine | Culture/Society | Cost-Effectiveness Analysis | Infectious Diseases | Social Determinants | Economics/Finance | North America -
OrganizationPublication 2024Based on Science
Since President Lincoln signed a congressional charter forming the National Academy of Sciences in 1863, …
Since President Lincoln signed a congressional charter forming the National Academy of Sciences in 1863, the National Academies have served the nation by drawing on the knowledge of the country’s top experts to deliver nonpartisan, objective advice on scientific matters. Based On Science uses the community of experts to provide the most up-to-date, evidence-based information about science and health questions that affect the decisions we make each day. This description was extracted from the Based…
Evidence Synthesis | Health/Medicine | Culture/Society | Climate/Environment | Energy/Engineering | Education/Labor | Science/Technology | North America -
ArticlePublication 2021Individual and Social Determinants of COVID-19 Vaccine Uptake
This article examined the individual, communication and social determinants associated with COVID-19 vaccine uptake using …
This article examined the individual, communication and social determinants associated with COVID-19 vaccine uptake using national survey data collected before vaccines were available in the U.S. Of note, individuals under the federal poverty level and racial and ethnic minorities were oversampled. Outcomes included the likelihood of vaccinating self and dependents (e.g., children). Independent variables included perceptions of risk, exposure to different media for COVID-19 news, political party identification, confidence in scientists and social determinants of…
Evidence Synthesis | Health/Medicine | Culture/Society | Health Outcomes | Infectious Diseases | Social Determinants | Policy/Regulation | Clinical Care | Science/Technology | North America -
ArticlePublication 2021COVID-19 Vaccine Hesitancy: The Five C's to Tackle Behavioral and Sociodemographic Factors
Reversing and mitigating the ongoing damage associated with the COVID-19 pandemic requires that 60-70% of …
Reversing and mitigating the ongoing damage associated with the COVID-19 pandemic requires that 60-70% of the world’s population needs to be vaccinated. This article acknowledges that hesitancy is one of the most substantial hurdles to vaccination uptake at levels that would achieve herd immunity. Authors define hesitancy as “a delay in acceptance or refusal despite availability.” Five factors are proposed to tackle vaccine hesitancy, referred to as the five “C’s”: Confidence (importance, safety and efficacy…
Evidence Synthesis | Health/Medicine | Culture/Society | Decision Psychology | Preferences/Values | Health Outcomes | Infectious Diseases | Social Determinants | Science/Technology | North America -
ReviewPublication 2020Public Health and Online Misinformation: Challenges and Recommendations
The internet has become a popular resource to learn about health and to investigate one's …
The internet has become a popular resource to learn about health and to investigate one's own health condition. However, given the large amount of inaccurate information online, people can easily become misinformed. Individuals have always obtained information from outside the formal health care system, so how has the internet changed people's engagement with health information? This review explores how individuals interact with health misinformation online, whether it be through search, user-generated content, or mobile apps.…
Evidence Synthesis | Health/Medicine | Culture/Society | Social Determinants | Health Systems | North America