Wird geladen...
Retrospective analysis of the accuracy of predicting the alert level of COVID-19 in 202 countries using Google Trends and machine learning
BACKGROUND: Internet search engine data, such as Google Trends, was shown to be correlated with the incidence of COVID-19, but only in several countries. We aim to develop a model from a small number of countries to predict the epidemic alert level in all the countries worldwide. METHODS: The “inter...
Gespeichert in:
| Veröffentlicht in: | J Glob Health |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
International Society of Global Health
2020
|
| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7567446/ https://ncbi.nlm.nih.gov/pubmed/33110594 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7189/jogh.10.020511 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|