特約稿專區—醫學探索
Wei Qu, Yuanfang Lai, Zhijie Lin, Ying Zhang, Jingyi Liang, Ruihan Chen, Ruilan Deng, Zhiqi Zeng, Zifeng Yang, Chitin Hon, Nanshan Zhong
Influenza is a common respiratory disease caused by the influenza virus, and each outbreak can result in a large number of infections and deaths worldwide. Predicting the dynamics of influenza outbreaks could be useful for decision-making regarding the allocation of public health resources. Due to the rapid advancement of science and technology in recent years, significant improvements have been made in influenza early warning and prediction, and the original systems have been improved and diversified. In this review, we gather several common influenza prediction systems and early warning methods, as well as some strategies to minimize prediction errors. In addition, we discuss the various data sources and collect the prediction situation on local, regional, national, or global level. Last but not least, we summarized the accuracy and advantages and disadvantages of various prediction methods.
