Resources Repository
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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…
Infectious Diseases | Probability/Bayes | Test Performance | 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…
Infectious Diseases | Probability/Bayes | Test Performance | Technology Assessment | Health Systems | Policy/Regulation | Government/Law | Health/Medicine | Global | 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…
Infectious Diseases | Probability/Bayes | Test Performance | 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…
Infectious Diseases | Probability/Bayes | Test Performance | 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…
Infectious Diseases | Probability/Bayes | Test Performance | Health/Medicine | Science/Technology | Global -
ToolInteractive, Teaching Resource 2020RAND Critical Care Surge Response Tool
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) …
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) to examine the current critical care capacity in the nation’s hospitals and rapidly explore strategies for increasing capacity to provide care for the sickest COVID-19 patients. The tool was developed by the RAND Corporation in response to the 2020 COVID-19 pandemic. Model input parameters to the Excel spreadsheet include baseline number of beds, critical care doctors and nurses, respiratory therapists,…
Infectious Diseases | Priority Setting/Ethics | Mathematical Models | Operations Research | Health/Medicine | North America | Professional | Policy Translation -
ArticlePublication 2020Health Gains & Financial Risk Protection Afforded by Public Financing of Selected Malaria Interventions in Ethiopia: An ECEA
This article, published in the Malaria Journal, aims to estimate the expected health and financial …
This article, published in the Malaria Journal, aims to estimate the expected health and financial risk protection (FRP) benefits of universal public financing of key malaria interventions in Ethiopia. An extended cost-effectiveness analysis (ECEA) is used to estimate the potential health and FRP benefits of publicly financing a 10% increase in artemisinin-based combination therapy (ACT), long-lasting insecticide-treated bed nets (LLIN), indoor residual spraying (IRS), and a hypothetical malaria vaccine. The results indicate that ACT, LLIN,…
Infectious Diseases | Priority Setting/Ethics | Cost-Effectiveness Analysis | Social Determinants | Health Systems | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2020Premature Deaths, Statistical Lives, and Years of Life
This article clarifies some misconceptions about mortality risk and economic valuation. The mortality effects of …
This article clarifies some misconceptions about mortality risk and economic valuation. The mortality effects of exposure to environmental hazards such as air pollution are often described by the estimated number of “premature deaths” and the economic value of an exposure reduction as the number of “statistical lives saved” multiplied by the “value per statistical life.” These terms can be misleading because the number of deaths advanced by exposure cannot be determined from mortality data; it…
Environmental Health | Preferences/Values | Health Outcomes | Benefit-Cost Analysis | Policy/Regulation | College | Graduate | Critical Thinking/Analysis -
ArticlePublication 2017Catastrophic Costs Potentially Averted by TB Control in India and South Africa
This study estimated the reduction in tuberculosis-related catastrophic costs with an aggressive expansion of tuberculosis …
This study estimated the reduction in tuberculosis-related catastrophic costs with an aggressive expansion of tuberculosis services in India and South Africa from 2016 to 2035, in line with the End TB Strategy. The authors investigated three intervention scenarios: improved treatment of drug-sensitive tuberculosis; improved treatment of multidrug-resistant tuberculosis; and expansion of access to tuberculosis care through intensified case finding (South Africa only). In India and South Africa, improvements in treatment for drug-sensitive and multidrug-resistant tuberculosis…
Infectious Diseases | Priority Setting/Ethics | Mathematical Models | Health Systems | Economics/Finance | Health/Medicine | Sub-Saharan Africa | Asia & Pacific