Automated robot and artificial intelligence-powered wastewater surveillance for proactive mpox outbreak prediction

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外文摘要：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 rela-tively 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.

外文关键词：

Automated online sewage virus enrichment robotArtificial intelligence(AI)modelEarly warning systemMpoxMonkeypox virus(MPXV)

作者：

Guanyong Ou、Yuxuan Tang、Jiexiang Liu、Yabin Hao、Zhi Chen、Ting Huang、Shaxi Li、Shiyu Niu、Yun Peng、Jiaqi Feng、Hongwei Tu、Yang Yang、Han Zhang、Yingxia Liu

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作者单位：

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

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

Shenzhen Clinical Medical College,Guangzhou University of Chinese Medicine,Shenzhen 518116,China

Shenzhen Metasensing Tech Limited Company,Shenzhen 518000,China

Guangdong Provincial Centre for Diseases Control and Prevention,Guangzhou 511430,China

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基金：

National Key Research and Development Program of ChinaShenzhen Medical Research FundingShenzhen Highlevel Hospital Construction FundShenzhen Highlevel Hospital Construction FundShenzhen Clinical Research Center for Emerging Infectious DiseasesScience and Technology Innovation and Entrepreneurship Special Foundation of Shenzhen

项目编号：

2023YFC3041500D230101423250G1001XKJS-CRGRK-005LCYSSQ20220823091203007JSGG20220226090203006

出版年：

2024

DOI：

10.1016/j.bsheal.2024.07.002

生物安全与健康 (英文)

中华医学会

生物安全与健康 (英文)

CSTPCD

ISSN：2096-6962

年,卷(期)：2024.6(4)