Predicting COVID-19 Incidence Using Anosmia and Other COVID-19 Symptomatology: Preliminary Analysis Using Google and Twitter.

ABSTRACT:

Objective

To determine the relative correlations of Twitter and Google Search user trends concerning smell loss with daily coronavirus disease 2019 (COVID-19) incidence in the United States, compared to other severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) symptoms. To describe the effect of mass media communications on Twitter and Google Search user trends.

Study design

Retrospective observational study.

Setting

United States.

Subjects and methods

Google Search and "tweet" frequency concerning COVID-19, smell, and nonsmell symptoms of COVID-19 generated between January 1 and April 8, 2020, were collected using Google Trends and Crimson Hexagon, respectively. Spearman coefficients linking each of these user trends to COVID-19 incidence were compare

SUBMITTER: Panuganti BA 

PROVIDER: S-EPMC7267744 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature