节点文献
新型冠状病毒感染预测模型概述
Overview of COVID-19 prediction model
【摘要】 新型冠状病毒感染(COVID-19)给世界经济和卫生保健服务带来了前所未有的挑战。基于模型的传染病预测预警研究已成为公共卫生系统关注的热点,世界各地的研究者都在利用数学、统计学、算法与算力、深度学习方法和模型对COVID-19的演变进行预测预警。本文对5种常用的COVID-19预测模型进行综述,为后续政策制定和COVID-19疫情防控提供科学依据。
【Abstract】 The coronavirus disease 2019( COVID-19) pandemic has brought unprecedented challenges to the world’ s economy and healthcare services. The research on infectious disease prediction and early warning based on models has become a hot topic in public health systems. Researchers around the world are using various mathematical, statistical, computational,deep learning methods and models to predict the evolution of COVID-19. This article reviews five commonly used COVID-19prediction models, providing a scientific basis for subsequent policy-making and COVID-19 epidemic prevention and control.
【Key words】 COVID-19; Prediction model; Strategies for prevention and control;
- 【文献出处】 安徽预防医学杂志 ,Anhui Journal of Preventive Medicine , 编辑部邮箱 ,2024年02期
- 【分类号】R511;R181
- 【下载频次】146