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Short-term local predictions of COVID-19 in the United Kingdom using dynamic supervised machine learning algorithms

Medicine and Health

Short-term local predictions of COVID-19 in the United Kingdom using dynamic supervised machine learning algorithms

X. Wang, Y. Dong, et al.

This innovative research, conducted by Xin Wang, Yijia Dong, William David Thompson, Harish Nair, and You Li, reveals the development of cutting-edge supervised machine-learning algorithms that leverage digital metrics to accurately predict local-level COVID-19 growth rates in the UK. With real-time visualization tools available through COVIDPredLTLA, this study demonstrates the potential for data-driven decision-making in public health.

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