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

Azzam, Daniel; Cypen, Sanja G.; Tao, Jeremiah

doi:10.1080/01676830.2020.1852264

Cited by 10 publications

(9 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The following methodologies were designed based on published methods [ 17 - 19 ]. All search queries entered into Google’s search engine become anonymized and grouped based on both the general query topic and the specific keywords entered.…”

Section: Methodsmentioning

confidence: 99%

“…Data sets were downloaded for symptoms and terms listed by the American Psychiatric Association for major depressive disorder: “feeling sad,” “depressed,” “depression,” “empty,” “insomnia,” “fatigue,” “guilty,” “feeling guilty,” and “suicide” [ 21 ]. To account for random variance and overall increases in search queries, data sets were also downloaded across similar time periods for control terms based on previously published studies and popular internet search terms: “sports,” “news,” “google,” “youtube,” “facebook,” and “netflix” [ 18 , 19 , 22 ]. The values of depression search intent were summed and normalized relative to the control terms for the given region and time and are represented on a scale of 0 to 100 arbitrary units (AU).…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

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

Wang¹,

McCarron²,

Azzam³

et al. 2022

JMIR Ment Health

Self Cite

View full text Add to dashboard Cite

Background The epidemiology of mental health disorders has important theoretical and practical implications for health care service and planning. The recent increase in big data storage and subsequent development of analytical tools suggest that mining search databases may yield important trends on mental health, which can be used to support existing population health studies. Objective This study aimed to map depression search intent in the United States based on internet-based mental health queries. Methods Weekly data on mental health searches were extracted from Google Trends for an 11-year period (2010-2021) and separated by US state for the following terms: “feeling sad,” “depressed,” “depression,” “empty,” “insomnia,” “fatigue,” “guilty,” “feeling guilty,” and “suicide.” Multivariable regression models were created based on geographic and environmental factors and normalized to the following control terms: “sports,” “news,” “google,” “youtube,” “facebook,” and “netflix.” Heat maps of population depression were generated based on search intent. Results Depression search intent grew 67% from January 2010 to March 2021. Depression search intent showed significant seasonal patterns with peak intensity during winter (adjusted P<.001) and early spring months (adjusted P<.001), relative to summer months. Geographic location correlated with depression search intent with states in the Northeast (adjusted P=.01) having higher search intent than states in the South. Conclusions The trends extrapolated from Google Trends successfully correlate with known risk factors for depression, such as seasonality and increasing latitude. These findings suggest that Google Trends may be a valid novel epidemiological tool to map depression prevalence in the United States.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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

Wang¹,

McCarron²,

Azzam³

et al. 2022

JMIR Ment Health

Self Cite

View full text Add to dashboard Cite

show abstract

“…The RSV is based on normalized search data and is presented on a scale from 0 to 100, with 100 representing the maximum number of searches in a given time period. [7][8][9][10][11][12]. Evaluation period COVID-19 is considered to have been prevalent since December 2019, and the evaluation period of 1 year was de ned as January 1, 2020, to January 1, 2021.…”

Section: Methodsmentioning

confidence: 99%

“…The peak of the search term is 100; e.g., an RSV of 50 means that a term is half as popular as the peak search term at that time. The geographical search volume is not an absolute number, but a percentage of the total number of searches in a location [7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Trends in Online Searches for Oral and Maxillofacial Surgery During the COVID-19 Pandemic

Sato

Takahashi

2021

Preprint

View full text Add to dashboard Cite

Background: Dentists and dental staff involved in oral and maxillofacial surgery (OMS) are at high risk of infection during the coronavirus disease (COVID-19) pandemic. Therefore, prevention of viral infection is essential in OMS, and attention should be paid to the trends in OMS during COVID-19. In this study, we aimed to investigate the search trends in OMS during the COVID-19 pandemic using Google Trends (GT). Methods: COVID-19 was considered prevalent from December 2019, and the search period on GT was set to 1 year (January 1, 2020–January 1, 2021). We observed trends for the following OMS-related terms: “wisdom teeth,” “TMJ” (temporomandibular joint), “dental implants,” “jaw surgery,” and “jaw fracture.” Additionally, the terms “aerosol” and “PPE” (personal protective equipment) were also used in the study. We identified the top five countries for all the aforementioned terms to confirm the trends by country. The multivariate Steel–Dwass test was used to compare the relative search volume (RSV) of the OMS-related terms, and the Mann–Whitney U test was used for comparison between the two groups of the COVID-19 prevention terms “aerosol” and “PPE.” Results: The RSV showed a decreasing trend from March to April for the terms “wisdom teeth,” “TMJ,” and “dental implants”; however, there was an increasing trend for the same terms from May onward. The term “PPE” showed a sharp increase from March to April. In comparison by country during the 1-year period, the United States had the highest RSV for “wisdom teeth” and “jaw fracture,” and Malaysia had the highest RSV for “TMJ.” Similarly, the highest RSV for “dental implants” and “jaw surgery” was in Laos and Canada, respectively. Conclusions: The COVID-19 pandemic may have altered the search trends for the terms “wisdom teeth,” “TMJ,” and “dental implants”.

show abstract

“…In a modeling study based in the US, it was estimated that there would be a loss of 1.2 billion US dollars in considering reductions of the top five most commonly-performed cosmetic procedures, which represents a 20% loss compared to that in 2018 [ 16 ]. Despite current limitations in supply of such operations, the public interest, as a determinant of demand for these procedures, has been increasing during the COVID-19 pandemic [ 19 , 20 ]. These trends may be attributed to the rise of video-conferencing during the pandemic leading to greater worry over appearance, especially as facial areas were the most commonly reported concerns during consultations in one study [ 21 ].…”

Section: Health Financingmentioning

confidence: 99%

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

Chau

2022

Arch Plast Surg

View full text Add to dashboard Cite

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

Cited by 10 publications

References 18 publications

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

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

Trends in Online Searches for Oral and Maxillofacial Surgery During the COVID-19 Pandemic

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

Contact Info

Product

Resources

About