Resources Repository
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Resource PackWeb Portal, Teaching Resource 2018Resource Pack: Cervical Cancer Models
This resource pack, curated by the Center for Health Decision Science, is a collection of …
This resource pack, curated by the Center for Health Decision Science, is a collection of models of HPV-related cervical cancer, differing in design, structure and features based on analytic objectives. In many ways, HPV and its related diseases represent a prototypical public health problem given the communicable and non-communicable nature of disease, opportunities for intervention along the entire disease spectrum (e.g., primary and secondary prevention, diagnosis, treatment), the varied ages at which interventions are targeted…
Calibration/Validation | Dynamic Transmission | State-Transition | Clinical Care | Infectious Diseases | Mathematical Models | Microsimulation | Dynamic Simulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Business/Industry | Economics/Finance | Health/Medicine | Science/Technology | Global -
Resource PackWeb Portal, Teaching Resource 2017Resource Pack: Valuing Vaccines and GAVI
This resource pack on valuing vaccines and GAVI was curated by the Center for Health …
This resource pack on valuing vaccines and GAVI was curated by the Center for Health Decision Science to showcase existing information and analyses to motivate students, educators and others to pursue new applications of decision science methods to the public health challenge of vaccine preventable illnesses.
Benefit-Cost Analysis | Calibration/Validation | Dynamic Transmission | Global Governance | Infectious Diseases | Preferences/Values | Priority Setting/Ethics | Costing Methods | Mathematical Models | Cost-Effectiveness Analysis | Child/Nutrition | Health Systems | Economics/Finance | Government/Law | Health/Medicine | Science/Technology | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Policy Translation | Quantitative Literacy -
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 | Clinical Care | Infectious Diseases | Technology Assessment | Health/Medicine -
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 | Clinical Care | Infectious Diseases | Technology Assessment | Health/Medicine | Science/Technology -
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…
Probability/Bayes | Test Performance | Clinical Care | Infectious Diseases | 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…
Probability/Bayes | Test Performance | Clinical Care | Infectious Diseases | Health/Medicine | Science/Technology | High School | College | Graduate | Doctoral | Professional | Graphics/Visualization | Quantitative Literacy -
ReportPublication 2017DCP3: Improving Health and Reducing Poverty
This report from the World Bank is the ninth and final volume of the Disease …
This report from the World Bank is the ninth and final volume of the Disease Control Priorities, Third Edition (DCP3) series. It provides an overview of the findings and methods explored in the first eight volumes, placing them within a framework that identifies an efficient pathway toward essential universal health coverage through the implementation of 21 essential packages that include health interventions and fiscal and intersectoral policies. The Disease Control Priorities Network (DCP) promotes and…
Evidence Synthesis | Benefit-Cost Analysis | Global Governance | Infectious Diseases | Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Mental Health | Injuries/Accidents | Social Determinants | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | Science/Technology | Global -
ReviewPublication 2017Use of Mathematical Models of Chlamydia Transmission to Address Public Health Policy Questions
This review provides an overview of chlamydia transmission models and offers perspective on how mathematical …
This review provides an overview of chlamydia transmission models and offers perspective on how mathematical modeling has responded over time to additional empirical evidence in order to address policy questions related to prevention of chlamydia infection. The authors reviewed published chlamydia models to understand the range of approaches used for policy analyses and how the studies have responded to developments in the field. The authors identified 47 publications reporting on 29 mathematical models through a…
Dynamic Transmission | State-Transition | Clinical Care | Infectious Diseases | Mathematical Models | Health/Medicine | North America -
ReviewPublication 2016Decision Support for Infectious Disease Control
This report from RAND reviews decision-support tools, including models and nonmodeling approaches, that are relevant to …
This report from RAND reviews decision-support tools, including models and nonmodeling approaches, that are relevant to infectious disease prevention, detection, and response and aligns these tools with real-world policy questions that the tools can help address. This overview is designed to help modelers and other technical experts understand the questions that policymakers will raise and the decisions they must make. The report also presents policymakers with the capabilities and limitations of the different tools that may…
Dynamic Transmission | State-Transition | Global Governance | Infectious Diseases | Mathematical Models | Microsimulation | Dynamic Simulation | Government/Law | Health/Medicine | Military/Defense | Global