Resources Repository
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ArticlePublication 1964Epidemics and Rumors
Goffman and Newill directed attention to the analogy between the spreading of an infectious disease …
Goffman and Newill directed attention to the analogy between the spreading of an infectious disease and the dissemination of information. This article examines the spreading of a rumor from the point of view of mathematical epidemiology and briefly reports on work to be published in detail elsewhere. Authors emphasize that a mathematical model for the spreading of rumors can be constructed in a number of different ways, depending on the mechanism postulated to describe the…
Preferences/Values | Infectious Diseases | Culture/Society | Health/Medicine | Science/Technology | Global -
ArticlePublication 2020COVID-19 Infodemic: A New Front for Information Professionals
COVID-19 emerged from Wuhan, China and has spread in 213 countries, areas, or territories around …
COVID-19 emerged from Wuhan, China and has spread in 213 countries, areas, or territories around the globe, with nearly 144,683 deaths worldwide as-of April 18, 2020. In the wake of the COVID-19 pandemic, we have witnessed a massive infodemic with the public being bombarded with vast quantities of information, much of which is not scientifically correct. Fighting fake news is now the new front in the COVID-19 battle. This article comments on the role of…
Preferences/Values | Infectious Diseases | Social Determinants | Policy/Regulation | Culture/Society | Health/Medicine | Science/Technology | Global -
ArticlePublication 2021Correct COVID-19 Vaccine Misinformation: Lancet Commission on COVID-19 Vaccines & Therapeutics Task Force Members
This brief “primer” assists healthcare providers in correcting a growing body of misinformation surrounding COVID-19 …
This brief “primer” assists healthcare providers in correcting a growing body of misinformation surrounding COVID-19 vaccines. In 2020, up to one-third or more of people surveyed both globally and in the U.S. indicated they might refuse the first COVID-19 vaccines when released through emergency use authorization (EUA). Their rationale included questions about vaccine efficacy, potential side effects, or speeding through regulatory approval processes. Even among healthcare workers, high rates of COVID-19 vaccine hesitancy were noted.…
Preferences/Values | Infectious Diseases | Social Determinants | Policy/Regulation | Global Governance | Culture/Society | Health/Medicine | Science/Technology | Global -
ArticlePublication 2021Anti-Vaccination Infodemic on Social Media: A Behavioral Analysis
Vaccinations are without doubt one of the greatest achievements of modern medicine, and there is …
Vaccinations are without doubt one of the greatest achievements of modern medicine, and there is hope that they can constitute a solution to halt the ongoing COVID-19 pandemic. However, the anti-vaccination movement is currently on the rise, spreading online misinformation about vaccine safety and causing a worrying reduction in vaccination rates worldwide. In this historical time, it is imperative to understand the reasons of vaccine hesitancy, and to find effective strategies to dismantle the rhetoric…
Preferences/Values | Infectious Diseases | Social Determinants | Culture/Society | Government/Law | Health/Medicine | Science/Technology | North America -
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 | Infectious Diseases | Test Performance | Health/Medicine | Science/Technology | Global -
ArticlePublication 2019Cost-Effectiveness of Community-Based Childhood Obesity Prevention Interventions in Australia
This study examined the cost-effectiveness of community-based obesity prevention interventions (CBIs) consisting of strategies to …
This study examined the cost-effectiveness of community-based obesity prevention interventions (CBIs) consisting of strategies to promote healthy eating and physical activity for Australian children aged between 5-18 years. A multiple cohort Markov model that simulates diseases associated with overweight and obesity was used to estimate the health benefits, measured as health-adjusted life years (HALYs) and healthcare-related cost offsets from diseases averted due to exposure to the intervention. Health and cost outcomes were estimated over the…
Health Outcomes | Clinical Care | State-Transition | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Health Systems | Food/Agriculture | Health/Medicine | Oceania -
ArticlePublication 2020Weighing Evidence to Inform Clinical Decisions
The authors use a clinical example to simulate how treatment discussions can be complicated when new evidence is introduced …
The authors use a clinical example to simulate how treatment discussions can be complicated when new evidence is introduced that conflicts with existing guidelines. Even when evidence is consistent, the authors point out that current guidelines can have interpretations that don't agree with available evidence. They develop a step-wise algorithm to help guide individual clinical decisions even in the absence of general consensus related to appropriate testing and treatment.
Priority Setting/Ethics | Clinical Care | Evidence Synthesis | Health/Medicine -
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 | Clinical Care | Test Performance | Health/Medicine -
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,…
Priority Setting/Ethics | Infectious Diseases | Mathematical Models | Operations Research | Health/Medicine | North America | Professional | Policy Translation