Forecasting influenza activity using self-adaptive AI model and multi-source data in Chongqing, China

BACKGROUND: Early detection of influenza activity followed by timely response is a critical component of preparedness for seasonal influenza epidemic and influenza pandemic. However, most relevant studies were conducted at the regional or national level with regular seasonal influenza trends. There...

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Detalles Bibliográficos
Autores principales: Su, Kun, Xu, Liang, Li, Guanqiao, Ruan, Xiaowen, Li, Xian, Deng, Pan, Li, Xinmi, Li, Qin, Chen, Xianxian, Xiong, Yu, Lu, Shaofeng, Qi, Li, Shen, Chaobo, Tang, Wenge, Rong, Rong, Hong, Boran, Ning, Yi, Long, Dongyan, Xu, Jiaying, Shi, Xuanling, Yang, Zhihong, Zhang, Qi, Zhuang, Ziqi, Zhang, Linqi, Xiao, Jing, Li, Yafei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Research paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6796527/
https://www.ncbi.nlm.nih.gov/pubmed/31477561
http://dx.doi.org/10.1016/j.ebiom.2019.08.024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6796527/
https://www.ncbi.nlm.nih.gov/pubmed/31477561
http://dx.doi.org/10.1016/j.ebiom.2019.08.024

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