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Assessment Of A Comparative Bayesian-Enhanced Population-Based Decision Model For Covid-19 Critical Care Prediction In The Dominican Republic Social Security Affiliates, Amado A. Baez, Oscar J. Lopez, Maria Martinez, Colyn White, Pedro Ramirez-Slaibe, Leticia Martinez, Pedro L. Castellanos

School of Medicine Publications and Presentations

Introduction: The novel coronavirus disease 2019 (COVID-19) has been a major health concern worldwide. This study aims to develop a Bayesian model to predict critical outcomes in patients with COVID-19.

Methods: Sensitivity and specificity were obtained from previous meta-analysis studies. The complex vulnerability index (IVC-COV2 index for its abbreviation in Spanish) was used to set the pretest probability. Likelihood ratios were integrated into a Fagan nomogram for posttest probabilities, and IVC-COV2 + National Early Warning Score (NEWS) values and CURB-65 scores were generated. Absolute and relative diagnostic gains (RDGs) were calculated based on pretest and posttest differences.

Results: The IVC-COV2 …

Memes, Memes, Everywhere, Nor Any Meme To Trust: Examining The Credibility And Persuasiveness Of Covid-19-Related Memes, Ben Wasike

Communication Faculty Publications and Presentations

This study examined the credibility and persuasiveness of COVID-19-related Internet memes. This approach is important given the widespread use of social media during the pandemic and the rise of meme-based communication on social media. The study found that memes from an expert source are more credible and persuasive than those from a nonexpert source. The same applied to memes with an objective message over those with a subjective message. The credibility of a meme also improved its persuasiveness, meaning that users were more likely to like it, comment on it, and share it with others. As expected, younger people were …