This paper is in the following e-collection/theme issue:

Advanced Data Analytics in eHealth (231) Infodemiology and Infoveillance (1588) Big Data (317) Decision Support for Health Professionals (1617) Secondary Use of Clinical Data for Research and Surveillance (490)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45846, first published .
Analyzing and Forecasting Pediatric Fever Clinic Visits in High Frequency Using Ensemble Time-Series Methods After the COVID-19 Pandemic in Hangzhou, China: Retrospective Study

Analyzing and Forecasting Pediatric Fever Clinic Visits in High Frequency Using Ensemble Time-Series Methods After the COVID-19 Pandemic in Hangzhou, China: Retrospective Study

Analyzing and Forecasting Pediatric Fever Clinic Visits in High Frequency Using Ensemble Time-Series Methods After the COVID-19 Pandemic in Hangzhou, China: Retrospective Study

Authors of this article:

Wang Zhang1, 2, 3 Author Orcid Image ;   Zhu Zhu1, 2, 3 Author Orcid Image ;   Yonggen Zhao1, 2, 3 Author Orcid Image ;   Zheming Li1, 2, 3 Author Orcid Image ;   Lingdong Chen1, 2, 3 Author Orcid Image ;   Jian Huang1, 2, 3 Author Orcid Image ;   Jing Li1, 2, 3 Author Orcid Image ;   Gang Yu1, 2, 3 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Zhang X, Xu X, Leng H, Shen Q, Liu Y, Zhang Z, Zheng X. The forecasting of pediatric asthma clinic visits: A comparative analysis of time-series models under varying training set sizes. DIGITAL HEALTH 2026;12 View