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Need of care in interpreting Google Trends-based COVID-19 infodemiological study results: potential risk of false-positivity
BACKGROUND: Google Trends (GT) is being used as an epidemiological tool to study coronavirus disease (COVID-19) by identifying keywords in search trends that are predictive for the COVID-19 epidemiological burden. However, many of the earlier GT-based studies include potential statistical fallacies...
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| Publicado no: | BMC Med Res Methodol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8286439/ https://ncbi.nlm.nih.gov/pubmed/34275447 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-021-01338-2 |
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