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

Infodemiology and Infoveillance (1560) Influenza and Influenza-Like-Illness (ILI) Surveillance (237) Vaccination and Immunization in the Digital Age (442) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Machine Learning (2077) Information Retrieval (348) Infectious Diseases (non-STD/STI) (1727)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66072, first published .
Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study

Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study

Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study

Authors of this article:

Xin Xiong1 Author Orcid Image ;   Linghui Xiang1 Author Orcid Image ;   Litao Chang2 Author Orcid Image ;   Irene XY Wu1, 3 Author Orcid Image ;   Shuzhen Deng2 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Xin Xiong   1 * , BS ;   Linghui Xiang   1 * , BS ;   Litao Chang   2 , BS ;   Irene XY Wu   1, 3 , PhD ;   Shuzhen Deng   2 , MS

1 Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China

2 Department of School Health, Yunnan Provincial Center for Disease Control and Prevention, Kunming, China

3 Hunan Provincial Key Laboratory of Clinical Epidemiology, Central South University, Changsha, China

*these authors contributed equally

Corresponding Author:

  • Shuzhen Deng, MS
  • Department of School Health
  • Yunnan Provincial Center for Disease Control and Prevention
  • No.1177 Xianghe Street, Luolong Street, Chenggong District
  • Kunming 650500
  • China
  • Phone: 86 15096624164
  • Email: 461447164@qq.com