Ophthalmia neonatorum as the presenting sign of SARS-CoV-2.

The most common ocular manifestation of SARS-CoV-2 in adults and children is acute conjunctivitis. We report the case of a 4-day-old infant who presented with acute-onset mucopurulent discharge of the left eye as well as subconjunctival hemorrhage and palpebral injection, without corneal findings. A diagnosis of ophthalmia neonatorum was established, for which ocular cultures and Gram staining were performed. No bacterial growth was noted, and polymerase chain reaction (PCR) testing for Chlamydia trachomatis, Neisseria gonorrhea, and herpes simplex were negative. Nasopharyngeal and conjunctival SARS-CoV-2 PCR were positive. Given the identification of SARS-CoV-2 illness, lack of other underlying bacterial or viral etiology on testing, and the well-documented ability for SARS-CoV-2 to cause conjunctivitis, the clinical picture was supportive of ophthalmia neonatorum secondary to SARS-CoV-2. The infant was treated with ceftriaxone and azithromycin prior to culture results. During admission, no systemic findings of Covid-19 illness were observed.

Dank or not? Analyzing and predicting the popularity of memes on Reddit.

Internet memes have become an increasingly pervasive form of contemporary social communication that attracted a lot of research interest recently. In this paper, we analyze the data of 129,326 memes collected from Reddit in the middle of March, 2020, when the most serious coronavirus restrictions were being introduced around the world. This article not only provides a looking glass into the thoughts of Internet users during the COVID-19 pandemic but we also perform a content-based predictive analysis of what makes a meme go viral. Using machine learning methods, we also study what incremental predictive power image related attributes have over textual attributes on meme popularity. We find that the success of a meme can be predicted based on its content alone moderately well, our best performing machine learning model predicts viral memes with AUC=0.68. We also find that both image related and textual attributes have significant incremental predictive power over each other.