Resources Repository
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ArticlePublication 2021COVID-19 Infodemic: Twitter vs. Facebook
The global spread of COVID-19 is affected by the spread of related misinformation – the …
The global spread of COVID-19 is affected by the spread of related misinformation – the so-called COVID-19 infodemic – that makes populations more vulnerable to the disease through resistance to mitigation efforts. This article analyzes the prevalence and diffusion of links to low-credibility content about the COVID-19 pandemic across Twitter and Facebook. They characterize cross-platform similarities and differences in popular sources, diffusion patterns, influencers, coordination, and automation. Comparing the two platforms, authors found divergence among…
Preferences/Values | Decision Psychology | Health/Medicine | Infectious Diseases | Social Determinants | Policy/Regulation | Culture/Society | Science/Technology | Global | North America -
ArticlePublication 2021COVID-19 Infodemic: Applying the Epidemiologic Model to Counter Misinformation
Throughout the world, including the U.S., medical professionals and patients are facing both a pandemic …
Throughout the world, including the U.S., medical professionals and patients are facing both a pandemic and an infodemic – the first caused by SARS-CoV-2 and the second by misinformation and disinformation. The Annenberg Public Policy Center’s tracking of social and legacy media has found that millions of people have been exposed to deceptive material alleging that SARS-CoV-2 is a hoax or that experts are exaggerating its severity and the extent of its spread, that masks…
Preferences/Values | Decision Psychology | Health/Medicine | Infectious Diseases | Social Determinants | Culture/Society | Science/Technology | North America -
ArticlePublication 2019Countering Misinformation with Lessons from Public Health
The internet is often praised as a tool for freedom of speech, democracy, and truth. …
The internet is often praised as a tool for freedom of speech, democracy, and truth. However, the internet increasingly has become polluted by misinformation – the inadvertent spread of misleading and false information – and disinformation – the deliberate and coordinated spread of misleading and false information. Individuals online knowingly and unknowingly spread dangerous rumors and propaganda at an alarming rate, which can mislead or manipulate the worldview of those who encounter it. False information…
Preferences/Values | Decision Psychology | Health/Medicine | Infectious Diseases | Child/Nutrition | Social Determinants | Culture/Society | Science/Technology | Global | North America -
ArticlePublication 2020Conspiracy Theories as Barriers to Controlling the Spread of COVID-19 in the U.S.
This article uses national probability survey data of U.S. adults to assess the relationship between …
This article uses national probability survey data of U.S. adults to assess the relationship between belief in three COVID-19-related conspiracy theories to adoption of preventive measures recommended by public health authorities, vaccination intentions, conspiracy beliefs, perceptions of threat, belief about the safety of vaccines, political ideology, and media exposure patterns. Authors found that conspiracy theory beliefs were highly stable across two periods of the survey and inversely related to the (1) perceived threat of the…
Preferences/Values | Decision Psychology | Health/Medicine | Infectious Diseases | Social Determinants | Culture/Society | Government/Law | 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 | Health/Medicine | Test Performance | Technology Assessment | Infectious Diseases | Clinical Care -
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 | Health/Medicine | Test Performance | Infectious Diseases | Clinical Care -
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 | Health/Medicine | Test Performance | Infectious Diseases | Science/Technology | Global -
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 | Health/Medicine | Evidence Synthesis | Clinical Care -
ArticlePublication 2020Translating Population Evidence to Individual Patients
In this paper, the authors describe the differences in population level outcomes compared to individual …
In this paper, the authors describe the differences in population level outcomes compared to individual patients and discuss ways that these are differences. The authors cover topics including the difference between relative and absolute risk and benefit. They use an example of the decision to start anticoagulation in new-onset atrial fibrillation to discuss translating population level evidence to treatment of an individual. These options include generalizability, subgroup analysis, prediction rules, following response to therapy, and even…
Health/Medicine | Evidence Synthesis | Test Performance | Health Systems | Clinical Care