Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study
BackgroundMumps is a viral respiratory disease characterized by facial swelling and transmitted through respiratory secretions. Despite the availability of an effective vaccine, mumps outbreaks have reemerged globally, including in China, where it remains a significant public...
Saved in:
Main Authors: | Xin Xiong, Linghui Xiang, Litao Chang, Irene XY Wu, Shuzhen Deng |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2025-02-01
|
Series: | Journal of Medical Internet Research |
Online Access: | https://www.jmir.org/2025/1/e66072 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Use of the Baidu Index to Analyze Spatiotemporal Characteristics of Online Attention to Adult Education
by: Yao Jiang, et al.
Published: (2025-01-01) -
Mumps Caused by an Inadequately Attenuated Measles, Mumps and Rubella Vaccine
by: WJ Bakker, et al.
Published: (2001-01-01) -
Is Mumps Making a Comeback?
by: JM Conly, et al.
Published: (2007-01-01) -
Spatial and temporal evolution of tourism flows among 296 Chinese cities in the context of COVID-19: a study based on Baidu Index
by: Yibo Tang, et al.
Published: (2025-01-01) -
Associations of meteorological factors and ambient air pollutants with mumps incidence in Ningxia Hui Autonomous Region: boosted regression tree model analysis
by: Xianglong LIU, et al.
Published: (2024-10-01)