Development and validation of a nomogram for predicting occurrence of severe case in children hospitalized with influenza A (H1N1) infection during the post-COVID-19 era

Background: The significant rebound of influenza A (H1N1) virus activity, particularly among children, with rapidly growing number of hospitalized cases is of major concern in the post-COVID-19 era. The present study was performed to establish a prediction model of severe case in pediatric patients...

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Bibliographic Details

Published in:	Heliyon
Main Authors:	Hai-Feng Liu, Xiao-Zhong Hu, Cong-Yun Liu, Zheng-Hong Guo, Rui Lu, Mei Xiang, Ya-Yu Wang, Zhao-Qing Yin, Min Wang, Ming-Ze Sui, Jia-Wu Yang, Hong-Min Fu
Format:	Article
Language:	English
Published:	Elsevier 2024-08-01
Subjects:	Influenza A (H1N1) virus Children Nomogram Post-COVID-19 era Machine learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405844024116027