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. 2020 Jun 2;163(3):491–497. doi: 10.1177/0194599820932128

Table 1.

Spearman Correlation Coefficients Relating Tweets and Google Searches With COVID-19 Incidence Between January 1 and April 8, 2020, in the United States.a

Parameter Entire Study Duration P Value Excluding March 22-24 P Value Difference P Value
Tweets about anosmia 0.539 <.001 0.483 <.001 −0.056 .299
Tweets about anosmia with URLs, retweets, and replies included 0.240 .016 0.553 <.001 0.313 .004
Tweets about nonsmell symptoms 0.761 <.001 0.756 <.001 −0.005 .467
Tweets about all symptoms (anosmia and nonsmell symptoms) 0.765 <.001 0.760 <.001 −0.005 .467
Tweets about COVID-19 0.848 <.001 0.851 <.001 0.003 .470
Google searches about anosmia 0.564 <.001 0.524 <.001 −0.040 .346
Google searches about cough 0.629 <.001 0.612 <.001 −0.017 .424
Google searches about fatigue 0.052 .611 0.065 .531 0.013 .464
Google searches about shortness of breath 0.732 <.001 0.716 <.001 −0.016 .407
Google searches about fever 0.749 <.001 0.739 <.001 −0.010 .438
Google searches about all nonsmell symptoms 0.744 <.001 0.733 <.001 −0.011 .433
Google searches about nasal rinses or sinus irrigations 0.307 .002 0.272 .007 −0.035 .395
Google searches about COVID-19 0.899 <.001 0.893 <.001 −0.006 .416
Google searches about dysgeusia 0.512 <.001 0.467 <.001 −0.045 .341
Google searches about anosmia from 2019 −0.223 .027

Abbreviation: COVID-19, coronavirus disease 2019.

a

Significance of differences between Spearman correlations were assessed after performing Fisher r-to-z transformation.