A Bayesian Spatiotemporal Analysis of Pediatric Group A Streptococcal Infections.

ABSTRACT:

Background

Pharyngitis due to group A Streptococcus (GAS) is a common pediatric infection. Physicians might diagnose GAS pharyngitis more accurately when given biosurveillance information about GAS activity. The availability of geographic GAS testing data may be able to assist with real-time clinical decision-making for children with throat infections.

Methods

GAS rapid antigen testing data were obtained from the records of 6086 children at Boston Children's Hospital and 8648 children at Duke University Medical Center. Records included children tested in outpatient, primary care settings. We constructed Bayesian generalized additive models, in which the outcome variable was the binary result of GAS testing, and predictor variables included smoothed functions of patien

SUBMITTER: Wang A 

PROVIDER: S-EPMC6918452 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature