Resources Repository
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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 | Technology Assessment | Infectious Diseases | Clinical Care | Health/Medicine -
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…
Probability/Bayes | Test Performance | Technology Assessment | Infectious Diseases | 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…
Probability/Bayes | Test Performance | Infectious Diseases | Clinical Care | Health/Medicine -
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…
Probability/Bayes | Test Performance | Infectious Diseases | Health/Medicine | Science/Technology | Global -
ArticlePublication 2020Clinical Decision Making: Using a Diagnostic Test
This article is part of a 6-part series on clinical decision making. The authors use …
This article is part of a 6-part series on clinical decision making. The authors use two clinical examples to review the principles of interpreting diagnostic test results. They outline an approach that can be used to determine how to select and apply tests and their results to the practice of internal medicine. Topics covered in the two case studies include sensitivity and specificity, positive predictive and negative predictive value of tests, and how to estimate…
Probability/Bayes | Test Performance | Clinical Care | Health/Medicine -
ArticlePublication 2013Agent-Based Simulation Modelling Approach to ECEA of Health Interventions
This study develops a dynamic agent-based simulation model, the Disease Control Priorities Simulation (DCPSim) model, …
This study develops a dynamic agent-based simulation model, the Disease Control Priorities Simulation (DCPSim) model, to estimate the health and economic benefits of health interventions and policies. Authors examined two different policies that can scale up the availability of drugs for secondary prevention of acute myocardial infarction (AMI) in India: a universal public provision (UPP) that provides a drug for free at public health facilities, and a universal public finance (UPF) that provides a drug…
Dynamic Simulation | Priority Setting/Ethics | Cost-Effectiveness Analysis | Chronic Disease/Risk | Social Determinants | Policy/Regulation | Health/Medicine | Asia & Pacific -
ArticlePublication 2019Cost-Effectiveness of Latent TB Screening before Immigration to Low-Incidence Countries
Despite prospective migrants to countries where the incidence of TB is low receiving TB screening …
Despite prospective migrants to countries where the incidence of TB is low receiving TB screening for active infections, screening for latent TB infection before immigration is rare. The authors used discrete event simulation to evaluate the cost-effectiveness preimmigration latent TB infection screening for migrants to low-incidence countries. They calculated cost per quality-adjusted life-year gained for migrants from countries with different TB incidences. Their analysis when combined with research on sustainability, acceptability, and program implementation can…
Dynamic Simulation | Mathematical Models | Cost-Effectiveness Analysis | Infectious Diseases | Government/Law | Health/Medicine | Global -
ArticlePublication 2017Benefit and Harm of Intensive Blood Pressure Treatment: Derivation and Validation of Risk Models Using Data from the Sprint and Accord Trials
Intensive blood pressure (BP) treatment can avert cardiovascular disease (CVD) events but can cause some …
Intensive blood pressure (BP) treatment can avert cardiovascular disease (CVD) events but can cause some serious adverse events. The authors sought to create risk calculators to estimate individual patients’ chances of benefit and harm from intensive treatment. They developed statistical models of cardiovascular events and serious adverse events from individual participant data from the Systolic Blood Pressure Intervention Trial (SPRINT) of intensive blood pressure treatment (N = 9,069 with complete covariate data) and validated them…
Probability/Bayes | Health Outcomes | Evidence Synthesis | Chronic Disease/Risk -
ArticlePublication 2017Using Data-Driven Agent-Based Models to Forecast Emerging Infectious Diseases
This paper describes an agent-based model framework developed to forecast the 2014-15 Ebola epidemic, which …
This paper describes an agent-based model framework developed to forecast the 2014-15 Ebola epidemic, which was subsequently used in the Ebola forecasting challenge. Producing timely and reliable forecasts for an epidemic of an emerging infectious disease is a challenge. Epidemiologists and policy makers have to deal with poor data quality, limited understanding of the disease dynamics, a rapidly changing social environment and the uncertainty around the effects of various interventions in place. In this setting,…
Dynamic Simulation | Microsimulation | Calibration/Validation | Infectious Diseases | Health/Medicine | Sub-Saharan Africa