Machine learning to improve the understanding of rabies epidemiology in low surveillance settings.

In low and middle-income countries, a large proportion of animal rabies investigations end without a conclusive diagnosis leading to epidemiologic interpretations informed by clinical, rather than laboratory data. We compared Extreme Gradient Boosting (XGB) with Logistic Regression (LR) for their ability to estimate the probability of rabies in animals investigated as part of an Integrated Bite Case Management program (IBCM). To balance our training data, we used Random Oversampling (ROS) and Synthetic Minority Oversampling Technique.

Predictors of quality of life (QOL) and treatment adherence among children with nephrotic syndrome.

Introduction: Any significant changes in the growth and development of any aspect of life will ultimately affect the health-related quality of life (HRQOL) of children with nephrotic syndrome. Various factors can influence treatment adherence, which can promote or decline the child's quality of life (QOL). Objective: To assess the quality of life and adherence to treatment regimen and to identify the predictors of QOL and adherence to treatment regimen among children with nephrotic syndrome.

Adolescent-Reported Changes in Provider Behavior Following Pediatrician Training in Stimulant Diversion Prevention: Results From a Cluster Randomized Controlled Trial.

Objective: To test whether pediatrician training leads to provider utilization of stimulant diversion prevention strategies as reported by adolescent patients with ADHD.

Methods: Pediatric practices received a stimulant diversion prevention workshop (SDP) or continued treatment-as-usual (TAU) in a cluster-randomized controlled trial. Surveys were completed by 341 stimulant-treated patients at baseline and three follow-up assessments.

Changing the paradigm for primary research dissemination.

The predominant research publishing system is not equitable by design, nor optimised to advance research to create knowledge and ultimately to benefit society. Open Research Central (ORC) was created to foster the re-imagination of the research dissemination system to facilitate trust, transparency and equitable participation. In five years of operation, before dissolving, the non-profit organisation produced outputs and learnings valuable to the development of a responsible research dissemination system.