Correlations Between COVID-19 Cases and Google Trends Data in the United States: A State-by-State Analysis.

ABSTRACT:

Objective

To evaluate whether a digital surveillance model using Google Trends is feasible for obtaining accurate data on coronavirus disease 2019 and whether accurate predictions can be made regarding new cases.

Methods

Data on total and daily new cases in each US state were collected from January 22, 2020, to April 6, 2020. Information regarding 10 keywords was collected from Google Trends, and correlation analyses were performed for individual states as well as for the United States overall.

Results

Among the 10 keywords analyzed from Google Trends, face mask, Lysol, and COVID stimulus check had the strongest correlations when looking at the United States as a whole, with R values of 0.88, 0.82, and 0.79, respectively. Lag and lead Pearson correlations were assesse

SUBMITTER: Kurian SJ 

PROVIDER: S-EPMC7439962 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature