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Study on the impact of meteorological factors on influenza in different periods and prediction based on artificial intelligence RF-Bi-LSTM algorithm: to compare the COVID-19 period with the non-COVID-19 period

Crossref DOI link: https://doi.org/10.1186/s12879-024-09750-x

Published Online: 2024-08-28

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhu, Hansong

Chen, Si

Qin, Weixia

Aynur, Joldosh

Chen, Yuyan

Wang, Xiaoying

Chen, Kaizhi

Xie, Zhonghang

Li, Lingfang

Liu, Yu

Chen, Guangmin

Ou, Jianming

Zheng, Kuicheng
Funding

Funding for this research was provided by:

Natural Science Foundation of Fujian Province (2021J01350, 2020J01094 and 2022J01119, 2021J01350, 2020J01094 and 2022J01119, 2021J01350, 2020J01094 and 2022J01119)

Young and Middle-aged Backbone Talents Training Project of Fujian Provincial Health Commission (2021GGA037 and 2020GGB019, 2021GGA037 and 2020GGB019)

Special Projects of the Central Government Guiding Local Science and Technology Development (2021L3018)
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Text and Data Mining valid from 2024-08-28

Version of Record valid from 2024-08-28
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Article History

Received: 22 March 2024

Accepted: 12 August 2024

First Online: 28 August 2024

Declarations

:

: The Ethics Committee of Fujian Provincial Center for Disease Control and Prevention approved all the study procedures (2020-029), and waived the necessity for informed consent of participants according to the Infectious Diseases Law of the People’s Republic of China. All methods were carried out in accordance with the relevant guidelines and regulations (Declaration of Helsinki). The data used in this study was always anonymized (including before this study).

: Not Applicable.

: The authors declare no competing interests.

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