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作 者:Guanyong Ou Yuxuan Tang Jiexiang Liu Yabin Hao Zhi Chen Ting Huang Shaxi Li a Shiyu Niu Yun Peng Jiaqi Feng Hongwei Tu Yang Yang Han Zhang Yingxia Liu
机构地区:[1]Shenzhen Key Laboratory of Pathogen and Immunity,National Clinical Research Center for Infectious Disease,State Key Discipline of Infectious Disease,the Third People’s Hospital of Shenzhen,Second Hospital Affiliated to Southern University of Science and Technology,Shenzhen 518112,China [2]International Collaborative Laboratory of 2D,Materials for Optoelectronics Science and Technology of Ministry of Education,Institute of Microscale Optoelectronics,College of Physics and Optoelectronic Engineering,Shenzhen University,Shenzhen 518060,China [3]Shenzhen Clinical Medical College,Guangzhou University of Chinese Medicine,Shenzhen 518116,China [4]Shenzhen Metasensing Tech Limited Company,Shenzhen 518000,China [5]Guangdong Provincial Centre for Diseases Control and Prevention,Guangzhou 511430,China
出 处:《Biosafety and Health》2024年第4期225-234,共10页生物安全与健康(英文)
基 金:supported by National Key Research and Development Program of China(2023YFC3041500);Shenzhen Medical Research Funding(D2301014);Shenzhen High‐level Hospital Construction Fund(23250G1001,XKJS‐CRGRK‐005);Shenzhen Clinical Research Center for Emerging Infectious Diseases(No.LCYSSQ20220823091203007);The Science and Technology Innovation and Entrepreneurship Special Foundation of Shenzhen(JSGG20220226090203006).
摘 要:In the wake of the largest‐ever recorded outbreak of mpox in terms of magnitude and geographical spread in human history since May 2022,we innovatively developed an automated online sewage virus enrichment and concentration robot for disease tracking.Coupled with an artificial intelligence(AI)model,our research aims to estimate mpox cases based on the concentration of the monkeypox virus(MPXV)in wastewater.Our research has revealed a compelling link between the levels of MPXV in wastewater and the number of clinically confirmed mpox infections,a finding that is reinforced by the ability of our AI prediction model to forecast cases with remarkable precision,capturing 87%of the data’s variability.However,it is worth noting that this high precision in predictions may be related to the relatively high frequency of data acquisition and the relatively non‐mobile isolated environment of the hospital itself.In conclusion,this study represents a significant step forward in our ability to track and respond to mpox outbreaks.It has the potential to revolutionize public health surveillance by utilizing innovative technologies for disease surveillance and prediction。
关 键 词:Automated online sewage virus enrichment robot Artificial intelligence(AI)model Early warning system Mpox Monkeypox virus(MPXV)
分 类 号:TP242[自动化与计算机技术—检测技术与自动化装置] TP18[自动化与计算机技术—控制科学与工程] R511[医药卫生—内科学]
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