Predicting the incidence of common intestinal infectious diseases in Changzhou, China based on environmental factors and deep learning

The STL-T-L model can effectively predict the common intestinal infectious diseases and can be used as a tool for monitoring and early warning of intestinal infectious diseases in Changzhou.

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Publication Details

Journal
BMC Public Health
Published
2025-12-20
DOI
https://doi.org/10.1186/s12889-025-25998-7
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting the incidence of common intestinal infectious diseases in Changzhou, China based on environmental factors and deep learning

Qiao Lei, Fang Yao, Qing‐Hai Fan, Sipeng Shen et al.
BMC Public Health
COVID-19 diagnosis using AI
article

Predicting the incidence of common intestinal infectious diseases in Changzhou, China based on environmental factors and deep learning

Qiao Lei, Fang Yao, Qing‐Hai Fan, Sipeng Shen, Jinglan Dai, Hao Hong, Jingyi Zhao, Xianzhi Zheng, Yixin Zhang
article en

Abstract

The STL-T-L model can effectively predict the common intestinal infectious diseases and can be used as a tool for monitoring and early warning of intestinal infectious diseases in Changzhou.

BMC Public HealthVol. 26(1)
Ministry of Education (KR), Nanjing Municipal Center for Disease Control And Prevention (CN), Changzhou University (CN), Institute of Advanced Manufacturing Technology (CN), Nanjing Medical University (CN)
Openalex Percentile: Top 43%
COVID-19 diagnosis using AI
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Predicting the incidence of common intestinal infectious diseases in Changzhou, China based on environmental factors and deep learning — Qiao Lei, Fang Yao, et al. · BMC Public Health (2025) | TGRS Research Map | TGRS