Short-term local predictions of COVID-19 in the United Kingdom using dynamic supervised machine learning algorithms
oleh: Xin Wang, Yijia Dong, William David Thompson, Harish Nair, You Li
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-09-01 |
Deskripsi
Wang et al. predict local COVID-19 incidence one to three weeks ahead based on symptom search trends, population mobility, and vaccination coverage. Their dynamic model is more accurate than naïve and fixed-predictor models.