| Literature DB >> 35505684 |
Joseph Han1, Samir Kamat1, Aneesh Agarwal1, Ross O'Hagan2, Connor Tukel2, Shayan Owji1, Sabrina Ghalili1, Yen Luu3, Cula Dautriche Svidzinski1, Brian J Abittan1, Jonathan Ungar1, Nicholas Gulati1.
Abstract
Entities:
Keywords: COVID-19; Google Trends; SARS-CoV-2 virus; delta variant; dermatology; digital dermatology; hair loss; omicron; omicron variant; online health; pandemic; public interest; public perception; social media; stress; telogen effluvium
Year: 2022 PMID: 35505684 PMCID: PMC9048188 DOI: 10.2196/37271
Source DB: PubMed Journal: JMIR Dermatol ISSN: 2562-0959
Figure 1Trend over time of relative search volume results for “COVID hair loss” in the United States. The CI is shown in gray. The P value was determined using the Mann-Kendall test.
Figure 2Spearman correlation between the relative search volume for “COVID hair loss” and the average number of daily new cases of COVID-19 in the United States per 1 million people. The P value was calculated using a linear regression model.