计算机工程与应用 ›› 2023, Vol. 59 ›› Issue (12): 49-61.DOI: 10.3778/j.issn.1002-8331.2209-0451
王正安,徐贞顺,林令德
出版日期:
2023-06-15
发布日期:
2023-06-15
WANG Zheng’an, XU Zhenshun, LIN Lingde
Online:
2023-06-15
Published:
2023-06-15
摘要: 2019年底,新型冠状病毒肺炎(COVID-19)疾病爆发,为抑制病毒扩散并提前制定应对措施,预测病毒传播趋势成为了研究热点,各种COVID-19预测方法在疫情防控和稳定民心等方面起到了关键作用。根据近三年来的COVID-19传播趋势预测方法的文献资料,将预测方法分为数学模型预测方法、人工智能预测方法和群智能优化预测方法三类。陈述了新冠病毒的特性以及疫情带来的影响,并简要描述了目前各类预测方法的特点。分别介绍了三种预测方法中经典模型的发展历史以及分类,并从优缺点和性能等方面对各类改进模型进行了详细的对比分析。最后进行归纳总结,从预测方法的局限性入手,分析了各类方法的不足,并对传播预测方法的未来研究方向进行了展望。
王正安, 徐贞顺, 林令德. 新冠肺炎疫情传播预测方法综述[J]. 计算机工程与应用, 2023, 59(12): 49-61.
WANG Zheng’an, XU Zhenshun, LIN Lingde. Review of COVID-19 Propagation Prediction Methods[J]. Computer Engineering and Applications, 2023, 59(12): 49-61.
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