Joint COVID-19 and influenza-like illness forecasts in the United States using internet search information
Ma et al. combine forecasts for influenza-like disease and COVID-19 to model scenarios where these diseases co-exist. They demonstrate that pooling information about influenza-like disease and COVID-19 improves forecasting models compared to individual models for either disease.
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-03-01
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| Series: | Communications Medicine |
| Online Access: | https://doi.org/10.1038/s43856-023-00272-2 |