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. 2017 Sep 15;23(2):220–227. doi: 10.1111/resp.13179

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© 2017 Asian Pacific Society of Respirology

This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.

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Associations between pathogen detections in multivariable logistic regression models with adjustment for confounding factors and detection of Streptococcus pneumoniae (A), Haemophilus influenzae (B), Moraxella catarrhalis (C), multiple viruses per sample (D), RSV (E) and hRV (F). Effect size (penalised maximum likelihoods) and 95% CI are shown. Black points represent likelihoods significant at P < 0.05, dark grey points P < 0.1 and light grey points P > 0.1. ED, emergency department; Hi, H. influenzae; hRV, human rhinovirus; Mc, M. catarrhalis; PyV, polyomaviruses; RSV, respiratory syncytial virus; Sp, S. pneumoniae.