A Case Report of Pediatric Kawasaki Disease and COVID-19 Association

Introduction: As COVID-19 spreads rapidly all over the world and nations struggle to control it, the novel presentations of SARS-CoV-2 infection and its possible triggering role for other diseases in pediatrics concern clinicians in frontlines. Case Presentation: We describe a 10-year-old child diagnosed with COVID-19 infection and concurrent Kawasaki disease. He pre-sented with prolonged fever and conjunctivitis. His initial echocardiogram showed coronary artery dilation in RCA. He was treated with IVIG and aspirin as per guidelines and discharged 48 hours after the completion of IVIG and diminishing fever. His follow-up echocardiogram showed improvement in a two weeks’ interval while he was quarantined in the meantime and showed no respiratory complications. Conclusions: In conclusion, we think that there might be a correlation between COVID-19 infection and hyperinflammatory condi-tions, like Kawasaki disease. Further investigations are needed to enlighten the complications caused by COVID-19 infection, espe-cially in pediatrics. In addition, we emphasize follow-up visits (in person or long-distance) in pediatrics presenting with inflammatory symptoms. © 2020, Author(s).

On Burr III-Inverse Weibull Distribution with COVID-19 Applications

We introduce a flexible lifetime distribution called Burr III-Inverse Weibull (BIII-IW). The new proposed distribution has well-known sub-models. The BIII-IW density function includes exponential, left-skewed, right-skewed and symmetrical shapes. The BIII-IW model's failure rate can be monotone and non-monotone depending on the parameter values. To show the importance of the BIII-IW distribution, we establish various mathematical properties such as random number generator, ordinary moments, conditional moments, residual life functions, reliability measures and characterizations. We address the maximum likelihood estimates (MLE) for the BIII-IW parameters and estimate the precision of the maximum likelihood estimators via a simulation study. We consider applications to two COVID-19 data sets to illustrate the potential of the BIII-IW model.