Early warning of emerging infectious diseases based on multimodal data

作     者：Haotian Ren Yunchao Ling Ruifang Cao Zhen Wang Yixue Li Tao Huang Haotian Ren;Yunchao Ling;Ruifang Cao;Zhen Wang;Yixue Li;Tao Huang

作者机构：Bio-Med Big Data CenterCAS Key Laboratory of Computational BiologyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai 200031China School of Life ScienceHangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China Guangzhou LaboratoryGuangzhou 510005China School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghai 200240China Collaborative Innovation Center for Genetics and DevelopmentFudan UniversityShanghai 200433China 

出 版 物：《Biosafety and Health》 (生物安全与健康（英文）)

年 卷 期：2023年第5卷第4期

页      面：193-203页

核心收录：

学科分类：1004[医学-公共卫生与预防医学(可授医学、理学学位)] 100401[医学-流行病与卫生统计学] 10[医学] 

基　　金：supported by the National Key R&D Program of China(2022YFF1203202,2018YFC2000205) the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB38050200,XDA26040304) the Self-supporting Program of Guangzhou Laboratory(SRPG22-007) 

主　　题：Emerging infectious disease SARS-CoV-2 Multimodal data Early warning 

摘      要：The coronavirus disease 2019 (COVID-19) pandemic has dramatically increased the awareness of emerging infectious diseases. The advancement of multiomics analysis technology has resulted in the development of several databases containing virus information. Several scientists have integrated existing data on viruses to construct phylogenetic trees and predict virus mutation and transmission in different ways, providing prospective technical support for epidemic prevention and control. This review summarized the databases of known emerging infectious viruses and techniques focusing on virus variant forecasting and early warning. It focuses on the multi-dimensional information integration and database construction of emerging infectious viruses, virus mutation spectrum construction and variant forecast model, analysis of the affinity between mutation antigen and the receptor, propagation model of virus dynamic evolution, and monitoring and early warning for variants. As people have suffered from COVID-19 and repeated flu outbreaks, we focused on the research results of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza viruses. This review comprehensively viewed the latest virus research and provided a reference for future virus prevention and control research.