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Utility and limitations of Google searches on sensory loss as markers for new COVID-19 cases
Preprint
in English
| medRxiv
| ID: ppmedrxiv-20093955
ABSTRACT
Web tools are widely used among population to obtain health related information, and these data are often employed for public health monitoring. Here we analyzed searches related to smell loss and taste loss, recently linked to COVID-19, as well as sight loss and hearing loss, not included in the COVID-19 symptoms list. Google Trends results per region (Italy) or state (United States) over several weeks were compared to the number of new cases prevalence in that geographical area. Taste and smell loss searches were correlated with each other, and, during a limited time window, with new COVID-19 cases. However, this correlation decreased with time, attributable, at least in part, to media coverage. As new symptoms are being discovered for COVID-19 and the pandemic continues to spread around the globe, the lesson learned here, that correlation between public interest in novel symptoms of infectious disease has an initial spike (the "surprise rise") and subsequently goes to a new baseline due to "knowledge saturation", is of general and practical value for the public.
cc_by_nc_nd
Full text:
Available
Collection:
Preprints
Database:
medRxiv
Type of study:
Observational study
Language:
English
Year:
2020
Document type:
Preprint
