Spatio-Temporal Analysis of Influenza-Like Illness and Prediction of Incidence in High-Risk Regions in the United States from 2011 to 2020

Spatio-Temporal Analysis of Influenza-Like Illness and Prediction of Incidence in High-Risk Regions in the United States from 2011 to 2020

About 8% of the Americans contract influenza during an average season according to the Centers for Disease Control and Prevention in the United States. It is necessary to strengthen the early warning for influenza and the prediction of public health. In this study, Spatial autocorrelation analysis a...

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Bibliographic Details
Main Authors: Zhijuan Song, Xiaocan Jia, Junzhe Bao, Yongli Yang, Huili Zhu, Xuezhong Shi
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:International Journal of Environmental Research and Public Health
Subjects:
influenza-like illness
spatiotemporal analysis
SARIMA model
prediction
Online Access:https://www.mdpi.com/1660-4601/18/13/7120

Internet

https://www.mdpi.com/1660-4601/18/13/7120

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