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Macau Periodical Index (澳門期刊論文索引)
- Author
- Qu, Wei；Lai, Yuanfang；Lin, Zhijie；Zhang, Ying；Liang, Jingyi；Chen, Ruihan；Deng, Ruilan；Zeng, Zhiqi；Yang, Zifeng；Hon, Chitin；Zhong, Nanshan
- Title
- Review of influenza prediction
- Journal Name
- 澳門科技大學學報
- Pub. Info
- 2023年6月30日, 第17卷第2期, pp. 1-30
- Link
- https://www.mustjournal.com/CN/10.58664/mustjournal.2023.06.001
- Keyword
- Influenza prediction；Surveillance systems；Compartmental models；Time series analysis；Machine learning methods
- Abstract
- 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. Paragraph Headings： 1. Introduction 2. Article selection and evaluation 3. Data sources 4. Methods 4.1. Methods based on the time-series analysis 4.2. Machine learning-based approach 4.3. Methods based on a kinetic model of infectious diseases 4.4. Hybrid method-based approach 5. Accuracy 6. Limitation 7. Conclusion Tables: 1. Summary of data source characteristics 2. Comparison of influenza prediction methods Figures: 1. Sankey diagram for classificaton of classification of data sources 2. Comparison of influenza prediction methods