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Resources Repository
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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 | Mathematical Models | Health/Medicine | Clinical Care | Decision Analysis | Graduate | Doctoral | Professional -
Teaching PackWeb Portal, Teaching Resource 2023Teaching Pack: Heuristics with Joe Pliskin
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics …
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics used in decision making. While these “mental shortcuts” can be useful in some circumstances, they can lead to more errors than deliberate, rational thinking. An awareness of these heuristics is useful to decision makers. This series of videos on heuristics was developed by Professor Joe Pliskin during his residency with the CHDS Media Hub led by Jake Waxman. They reflect…
Probability/Bayes | Health/Medicine | Business/Industry | Clinical Care | Decision Theory | Decision Psychology | Preferences/Values | Chronic Disease/Risk | Economics/Finance | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
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 | Mathematical Models | Health/Medicine | Clinical Care | Decision Analysis | Graduate | Doctoral | Professional -
ArticlePublication 2010Alternative Strategies to Reduce Maternal Mortality in India: A Cost-Effectiveness Analysis
This article, published in PLoS Medicine, conducted a cost-effectiveness analysis of strategies to improve pregnancy …
This article, published in PLoS Medicine, conducted a cost-effectiveness analysis of strategies to improve pregnancy and childbirth safety in India. Country- and region-specific data were synthesized using a computer-based model that simulates the natural history of pregnancy and pregnancy-associated complications in individual women, and considers delivery location, attendant, and facility level. Model validation compared projected maternal indicators with empiric data. Strategies consisted of improving coverage of effective interventions that could be provided individually or packaged…
Evidence Synthesis | Mathematical Models | Health/Medicine | Maternal/Reproductive Health | Microsimulation | Cost-Effectiveness Analysis | Economics/Finance | Global | Asia & Pacific -
ArticlePublication 2022Estimated Transmission Outcomes and Costs of SARS-CoV-2 Diagnostic Testing, Screening, and Surveillance Strategies Among a Simulated Population of Primary School Students
In the wake of the COVID-19 pandemic's significant educational disruptions, the U.S. government allocated $10 …
In the wake of the COVID-19 pandemic's significant educational disruptions, the U.S. government allocated $10 billion in March 2021 for testing in schools. The study aimed to analyze the costs and benefits of different COVID-19 testing strategies, particularly focusing on full-time, in-person elementary and middle school education. Utilizing an updated agent-based network model, the study simulated transmission scenarios in schools, considering various testing strategies ranging from diagnostic testing (test-to-stay) to reduce symptom-based isolations, routine screening…
Mathematical Models | Test Performance | Health/Medicine | Clinical Care | Cost-Effectiveness Analysis | Infectious Diseases | Science/Technology | North America -
ArticlePublication 2023Effects of Public Financing of Essential Maternal and Child Health Interventions Across Wealth Quintiles in Nigeria: An Extended Cost-Effectiveness Analysis
This study evaluates the potential health and financial risk protection benefits of public financing for …
This study evaluates the potential health and financial risk protection benefits of public financing for maternal, newborn, and child health (MNCH) interventions in Nigeria, focusing on different wealth quintiles. Employing extended cost-effectiveness analysis, the research assesses the impact of a policy ensuring zero out-of-pocket costs for 18 essential MNCH services. Three scenarios were modeled: status quo, uniform scale-up, and pro-poor scale-up. Findings suggest that a 5% increase in coverage for all quintiles could prevent significant…
Mathematical Models | Health Outcomes | Health/Medicine | Maternal/Reproductive Health | Cost-Effectiveness Analysis | Policy/Regulation | Sub-Saharan Africa -
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 Outcomes | Health/Medicine | Clinical Care | Infectious Diseases | Social Determinants | Policy/Regulation | Culture/Society | Science/Technology | North America -
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…
Probability/Bayes | Test Performance | Health/Medicine | Clinical Care | Technology Assessment | Infectious Diseases -
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…
Probability/Bayes | Test Performance | Health/Medicine | Clinical Care | Technology Assessment | Infectious Diseases | Science/Technology