Literature DB >> 33317388

Oculofacial plastic surgery-related online search trends including the impact of the COVID-19 pandemic.

Daniel B Azzam1, Sanja G Cypen1, Jeremiah P Tao1.   

Abstract

Purpose: The authors aim to characterize oculofacial plastic surgery-related online interest that may be useful in forecasting demand and in designing patient-directed online resources.
Methods: The authors queried Google Trends for over 100 oculofacial plastic surgery terms. The main outcome measure was the top 50 oculofacial plastic surgery-related search terms from 2004 to 2020. Secondary outcomes were trends, including seasonality, and search volume changes during the COVID-19 lockdown (March-May 2020) compared to 2018-2019. Terms were analyzed individually and in thematic categories; controlled against generic search terms to account for general internet traffic.
Results: Between 2004 and 2020, searches for oculofacial plastic surgery altogether increased, surpassing the rate of internet traffic growth. One thematic category - eyelid malpositions - decreased month-over-month. The top five terms were "face lift," "Bell's palsy," "puffy eyes," "dark circles under eyes," and "chalazion." Eyelid neoplasms searches peaked in summer (R2  = 0.880) whereas cosmetic (R2  = 0.862), symptoms (R 2 = 0.907), and surgeries (R 2 = 0.140) peaked in winter. Overall, oculofacial-related searches decreased during the COVID-19 lockdown, although thyroid eye disease interest increased compared to 2018 or 2019 (+68.6%; adj. p = .005). Oculofacial plastic surgery interest in 2020 was inversely correlated to "COVID-19" searches (r = -0.76, p < .001). Conclusions: Oculofacial plastic surgery searches increased since 2004 at a pace greater than that ascribed to internet traffic growth. The most searched terms were "face lift," "Bell's palsy," "puffy eyes," "dark circles under eyes," and "chalazion." Almost all oculofacial-related searches decreased during the COVID-19 lockdown.

Entities:  

Keywords:  COVID-19; Google Trends; digital epidemiology; internet search; oculofacial plastic surgery

Year:  2020        PMID: 33317388     DOI: 10.1080/01676830.2020.1852264

Source DB:  PubMed          Journal:  Orbit        ISSN: 0167-6830


  2 in total

1.  Utilizing Big Data From Google Trends to Map Population Depression in the United States: Exploratory Infodemiology Study.

Authors:  Alex Wang; Robert McCarron; Daniel Azzam; Annamarie Stehli; Glen Xiong; Jeremy DeMartini
Journal:  JMIR Ment Health       Date:  2022-03-31

2.  Plastic and reconstructive surgery during the COVID-19 pandemic: impacts on healthcare workers, financing, and governance.

Authors:  Margaret Kay Ho; Charlene Yat Che Chau
Journal:  Arch Plast Surg       Date:  2022-01-15
  2 in total

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