Prospective Study of Artificial Intelligence in Epidemic Situation Prediction
Abstract
of artificial intelligence in epidemic prediction are expounded. Then the challenges of artificial intelligence in epidemic prediction are discussed, such as data quality and acquisition, model interpretability and so on. Finally, the future development of artificial intelligence in epidemic prediction is prospected, and forward-looking strategies are put forward to improve the accuracy of prediction and expand application
scenarios, so as to provide more effective support for epidemic prevention and control.
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[1] Zhang Gege, Zhang Chuying, Li Xia, et al. Current situation of emergency response system for major respiratory infectious diseases in
China [J]. south china journal of preventive medicine, 2025, 51(03):303-305+310.
[2] Xing Mengyu, Cao Hui, Qiu Peng, et al. Application of artificial intelligence in the prevention and treatment of sudden infectious diseases [J]. Scientific and technological innovation and application, 2021, 11 (17): 25-27. DOI: 10.19981/J.CN 23-1581/G3.2021.11
[3] Luo Yingyu, Fan Peiyang, Zhou Weilong, et al. Research progress on the application of artificial intelligence in early identification of
infectious diseases in medical institutions [J]. Infectious Diseases Information, 2025, 38(03):307-312.
[4] Xia Hu, Zhu Hai. Exploring the application of artificial intelligence in hospital infectious disease early warning system [J]. China Journal of Health Information Management, 2024, 21(04):571-577.
[5] Xiao Huer, Dai Shangfeng. Thinking about the development of artificial intelligence application under the background of epidemic situation [J]. Network Security and Informatization, 2022, (02):15-18.
[6] Wang Zheng 'an, Xu Zhen-shun, Lin Ling-de. Overview of forecasting methods of epidemic spread in COVID-19 [J]. Computer Engineering and Application, 2023, 59(12):49-61.
DOI: http://dx.doi.org/10.70711/aitr.v3i6.8604
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