Perspective reveals challenges in forecasting influenza and SARS-CoV-2 co-circulation in human populations, highlighting the need for machine learning to project future risks.
The COVID‐19 pandemic comes across the gradual rise of the influenza virus, and the co‐circulation of the two viruses is inevitable. The dangers of co‐infection are becoming clearer, but the disease burden of co‐circulation in the near further is unknown. In the intersection era of big data and machine learning development, it is important to distinguish the impact factors of co‐prevalence and apply appropriate methods to advance projecting future risks.
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Liang et al. (2023) studied this question.
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