A comparative study on predicting influenza outbreaks-Reference-Cited by-同舟云学术

A comparative study on predicting influenza outbreaks

Published:2017 Issue:5 Volume:11 Page:533-541
ISSN:1881-7815
Container-title:BioScience Trends
language:en
Short-container-title:BST

Author:

Zhang Jie¹,Nawata Kazumitsu¹

Affiliation:

1. Graduate School of Engineering, University of Tokyo

Publisher

International Research and Cooperation Association for Bio & Socio-Sciences Advancement (IRCA-BSSA)

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine,Health (social science)

Link

https://www.jstage.jst.go.jp/article/bst/11/5/11_2017.01257/_pdf

Reference14 articles.

1. 1. World Health Organization. Influenza (Seasonal) fact sheet. http://www.who.int/mediacentre/factsheets/fs211/en/ (accessed August 23, 2017).

2. 2. Longo D. Harrison's principles of internal medicine. (18^th ed., Fauci A, Kasper D, Hauser S, Jameson J, Loscalzo J, eds.). McGraw-Hill, New York, 2012; 187:1442.

3. 3. Centers for disease control and prevention. Key facts about influenza (Flu). https://www.cdc.gov/flu/keyfacts.htm (accessed Aug 23, 2017).

4. 4. Brankston B, Gitterman L, Hirji Z, Lemieux C, Gardam M.Transmission of influenza A in human beings. Lancet Infect Dis. 2007; 4:257-265.

5. 5. Statement from president george W. Bush on Influenza". http://www.presidency.ucsb.edu/ws/index.php?pid=65259 (accessed August 23, 2017).

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluating predictive hybrid neural network models in spatiotemporal context: An application on Influenza outbreak predictions;2023-12-29

2. LSTM-based recurrent neural network provides effective short term flu forecasting;BMC Public Health;2023-09-14

3. Predicting influenza with pandemic-awareness via Dynamic Virtual Graph Significance Networks;Computers in Biology and Medicine;2023-05

4. Performance of discrete wavelet transform‐based method in the detection of influenza outbreaks in Iran: An ecological study;Health Science Reports;2023-05

5. Study on the prediction effect of a combined model of SARIMA and LSTM based on SSA for influenza in Shanxi Province, China;BMC Infectious Diseases;2023-02-06