Constructing, validating, and updating machine learning models to predict survival in children with Ebola Virus Disease.

Background: Ebola Virus Disease (EVD) causes high case fatality rates (CFRs) in young children, yet there are limited data focusing on predicting mortality in pediatric patients. Here we present machine learning-derived prognostic models to predict clinical outcomes in children infected with Ebola virus.

Methods: Using retrospective data from the Ebola Data Platform, we investigated children with EVD from the West African EVD outbreak in 2014-2016.

Risk Prediction Score for Pediatric Patients with Suspected Ebola Virus Disease.

Rapid diagnostic tools for children with Ebola virus disease (EVD) are needed to expedite isolation and treatment. To evaluate a predictive diagnostic tool, we examined retrospective data (2014-2015) from the International Medical Corps Ebola Treatment Centers in West Africa. We incorporated statistically derived candidate predictors into a 7-point Pediatric Ebola Risk Score.

Development and assessment of novel virtual COVID-19 trainer-of trainers course implemented by an academic-humanitarian partnership.

Background: In response to the coronavirus disease (COVID-19) pandemic, Project HOPE®, an international humanitarian organization, partnered with Brown University to develop and deploy a virtual training-of-trainers (TOT) program to provide practical knowledge to healthcare stakeholders. This study is designed to evaluate this TOT program.

Objective: The goal of this study is to assess the effectiveness of this educational intervention in enhancing knowledge on COVID-19 concepts and to present relative change in score of each competency domains of the training.

Treatment Retention in Older Versus Younger Adults with Opioid Use Disorder: A Retrospective Cohort Analysis from a Large Single Center Treatment Program.

Objective: To compare treatment retention in a Medication for Opioid Use Disorder program between older and younger adults with opioid use disorder.

Methods: This retrospective cohort study was conducted from 2015 to 2018 at an urban academic hospital's opioid and drug treatment center. Participants were adults, 18 and older, diagnosed with Opioid Type Dependence.