Abstract
In the wake of the largest-ever recorded outbreak of monkeypox 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 monkeypox 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 monkeypox infections, a finding that is reinforced by our AI predictive model’s ability 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 associated with 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 monkeypox outbreaks. It has the potential to revolutionize public health surveillance by utilizing innovative technologies for disease monitoring and prediction.
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