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 concen...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。展开更多
基金supported by National Key Research and Development Program of China(2023YFC3041500)Shenzhen Medical Research Funding(D2301014)+2 种基金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).
文摘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。
