Adaptively temporal graph convolution model for epidemic prediction of multiple age groups

Adaptively temporal graph convolution model for epidemic prediction of multiple age groups

Introduction: Multivariate time series prediction of infectious diseases is significant to public health, and the deep learning method has attracted increasing attention in this research field. Material and methods: An adaptively temporal graph convolution (ATGCN) model, which learns the contact pat...

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Bibliographic Details
Main Authors: Yuejiao Wang, Dajun Daniel Zeng, Qingpeng Zhang, Pengfei Zhao, Xiaoli Wang, Quanyi Wang, Yin Luo, Zhidong Cao
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2022-03-01
Series:Fundamental Research
Subjects:
Graph convolution model
Infectious disease prediction
Multiple age group
Multivariate time series
Public health
Online Access:http://www.sciencedirect.com/science/article/pii/S2667325821001369

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http://www.sciencedirect.com/science/article/pii/S2667325821001369

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