Article
Retrospective analysis of the accuracy of predicting the alert level of COVID-19 in 202…
Journal of global health · 2020 · X. Chen, H. Chen, C. Li, Y. Peng, Y. Rong
Key facts
| Title | Retrospective analysis of the accuracy of predicting the alert level of COVID-19 in 202 countries using Google Trends and machine learning. |
|---|---|
| First author | X. Chen, H. Chen, C. Li, Y. Peng, Y. Rong |
| Journal | Journal of global health |
| Published | Dec 1, 2020 |
| DOI | 10.7189/jogh.10.020511 |
| PubMed ID | 33110594 |
| PMC ID | PMC7567446 |
| Devices mentioned | 020511 |
At a glance
- 1–9 FDA submissions mentioned
- None Product codes mentioned
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About Literature
Peer-reviewed and preprint literature indexed by Orca1 and linked to the FDA submissions and product codes each article mentions. Only bibliographic details are shown here.
Source: Publisher and PubMed metadata; device mentions identified by Orca1