ArticleOpen forum infectious diseases2019
A Bayesian Spatiotemporal Analysis of Pediatric Group A Streptococcal Infections.
Article in Open forum infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors at 3 institutions in 1 country.
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Abstract
backgroundPharyngitis due to group A
methodsGAS 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 patient location data and both cyclic and longitudinal time data.
resultsWe observed a small degree of geographic heterogeneity, but no convincing clusters of high risk. The probability of a positive test declined during the summer months.
conclusionsFuture work should include geographic data about school catchments to identify whether GAS transmission clusters within schools.
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