scholarly journals Analyzing Public Interest in Metabolic Health-Related Search Terms During COVID-19 Using Google Trends

Cureus ◽  
2021 ◽  
Author(s):  
Alec D McCarthy ◽  
Daniel McGoldrick
Keyword(s):  
Public Interest ◽  
Metabolic Health ◽  
Google Trends ◽  
Search Terms ◽  
Health Related

Predicting Public Interest in Nonsurgical Cosmetic Procedures Using Google Trends

2019 ◽  
Vol 40 (11) ◽  
pp. 1253-1262 ◽  
Author(s):  
Jonathan D Tijerina ◽  
Shane D Morrison ◽  
Ian T Nolan ◽  
Matthew J Parham ◽  
Rahim Nazerali
Keyword(s):  
Hyaluronic Acid ◽  
Public Interest ◽  
The United States ◽  
Google Trends ◽  
Search Term ◽  
Data Set ◽  
Fat Transfer ◽  
Laser Hair Removal ◽  
Search Terms ◽  
Search Volume

Abstract Background Google Trends (GT) provides cost-free, customizable analyses of search traffic for specified terms entered into Google’s search engine. GT may inform plastic surgery marketing decisions and resource allocation. Objectives The aim of this study was to determine GT’s utility in tracking and predicting public interest in nonsurgical cosmetic procedures and to examine trends over time of public interest in nonsurgical procedures. Methods GT search volume for terms in 6 ASPS and ASAPS nonsurgical procedure categories (Botox injections, chemical peel, laser hair removal, laser skin resurfacing, microdermabrasion and soft tissue fillers [subcategories: collagen, fat, and hyaluronic acid]) were compared with ASPS and ASAPS case volumes for available dates between January 2004 and March 2019 with the use of univariate linear regression, taking P < 0.01 as the cutoff for significance. Results Total search volume varied by search term within the United States and internationally. Significant positive correlations were demonstrated for 17 GT terms in all 6 ASPS and ASAPS categories: “Botox®,” “collagen injections,” “collagen lip injections” with both databases; and “chemical skin peel,” “skin peel,” “acne scar treatment,” “CO2 laser treatment,” “dermabrasion,” “collagen injections,” “collagen lip injections,” “fat transfer,” “hyaluronic acid fillers,” “hyaluronic acid injection,” “hyaluronic acid injections,” “Juvederm®,” and “fat transfer” with just 1 database. Many search terms were not significant, emphasizing the need for careful selection of search terms. Conclusions Our analysis further elaborates on recent characterization of GT as a powerful and intuitive data set for plastic surgeons, with the potential to accurately gauge global and national interest in topics and procedures related to nonsurgical cosmetic procedures.

scholarly journals Increase in Google Trends Regarding Telogen Effluvium Due To COVID-19

2021 ◽  
Vol 5 (2) ◽  
pp. 137-139
Author(s):  
Jasmine Garg ◽  
Abigail Cline ◽  
Frederick Pereira
Keyword(s):  
United States ◽  
Hair Loss ◽  
Public Interest ◽  
The United States ◽  
Google Trends ◽  
Therapeutic Interventions ◽  
The Public ◽  
Search Terms ◽  
The Future ◽  
Before And After

Objective: The purpose of this study was to assess the public interest in the United States of telogen effluvium before and after the COVID-19 pandemic in order to investigate the best therapeutic interventions for dermatologists in the future. Methods: We performed Google TrendsTM search for “COVID hair loss”, “telogen effluvium” and “hair loss” between 5/1/20 and 8/16/20. Conclusion: All three terms have increased in popularity for search terms since mid-March and were the most prevalent in the states that experienced the earliest increase in number of coronavirus cases.

scholarly journals The Zoom Effect: A Google Trends Analysis

2021 ◽  
Author(s):  
Kometh Thawanyarat ◽  
Shannon Francis ◽  
Trudy Kim ◽  
Connor Arquette ◽  
Shane Morrison ◽  
...  
Keyword(s):  
Plastic Surgery ◽  
Public Interest ◽  
Breast Implant ◽  
Aesthetic Surgery ◽  
Google Trends ◽  
Search Terms ◽  
Search Volume ◽  
Chi Squared ◽  
Fat Removal ◽  
Bivariate Regression Analysis

Abstract Background Increased video-chatting, stimulated by the COVID-19 pandemic, has been correlated with increased appearance concerns. Initial lockdown restrictions correlated with a decrease in aesthetic/cosmetic plastic surgery case volumes. Objectives We aim to delineate public interest in aesthetic procedures surrounding the COVID-19 pandemic via Google Trends (GT). We hypothesize that because of the pandemic, public interest in plastic surgery procedures increased, especially localized above the shoulder. Methods Trends in the US for given search terms and volumes were gathered via Google Trends between January 2015 to March 2021. The search volumes were normalized, and a bivariate regression analysis of panel data was then applied to the aggregate trendlines to determine if a statistically significant change in search volume occurred following the stay-at-home orders. Results The following search terms had statistically significant (p < 0.000) increases in search volumes after February 2020: blepharoplasty, Botox, brachioplasty, breast implant removal, breast reduction, brow lift, buccal fat removal, hair transplantation, lip augmentation, mentoplasty, otoplasty, platysmaplasty, rhinoplasty, and thighplasty. Chi-squared analysis demonstrated a statistically significant association (Chi-squared = 4.812, p = 0.028) between increases in search volume and above the shoulder procedures. Conclusions Public interest in above the shoulder surgical procedures showed a statistically significant increase following February 2020 compared to below the shoulder procedures. Continued examination of specific procedure trends, as well as determining correlations with more accurate procedural datasets, will provide increased insight into consumers’ mindsets and to what extent video conferencing plays on the public’s interest in pursuing aesthetic surgery.

scholarly journals Coronavirus-related online web search desire amidst the rising novel coronavirus incidence in Ethiopia: Google Trends-based infodemiology

2020 ◽  
Author(s):  
Behailu Terefe ◽  
Alessandro Rovetta ◽  
Asha K Rajan ◽  
Mengist Awoke
Keyword(s):  
Public Interest ◽  
Web Search ◽  
Google Trends ◽  
The Public ◽  
Corona Virus ◽  
Health Related ◽  
Novel Coronavirus ◽  
Google Search ◽  
Over Time ◽  
Online Web

Abstract Background: During outbreaks, like novel coronavirus (COVID 19) disease pandemic, social communication and behaviors are very important. Under such circumstances, individual activities in social media and other online platforms will increase tremendously resulting in the circulation of information in the community. These pieces of information can be infodemic monikers misleading the community. Thus exploring the trends of public interest in searching COVID 19 related issues and checking information circulating in the public is highly crucial. Objective: This study aimed to explore users' concerns towards coronavirus related online web search and to investigate the extent of infodemic monikers (misinformation) adopted for identifying the virus in the early stage of COVID 19 spread in Ethiopia. Methods: Google Trends was employed in exploring the tendency towards coronavirus related web search activities in Ethiopia from March 13 to May 8, 2020. Keywords of the different names of COVID 19 and health related issues were used to investigate the trends of public interest in searching from Google over time. Relative search volume (RSV), Average peak comparison (APC), and associated graphs were used to compare the trends of online search interests. Pearson correlation coefficient was calculated to check for the presence of correlation. Result: During the study period, the top names users adopted to identify the virus in Ethiopia were corona, virus, coronavirus, corona virus, China coronavirus, and COVID 19. In almost all search activities, the users employed infodemic monikers to identify the virus (overall relative search percentage of 99%). Updates related issues (APC=60, 95% CI, 55, 66) were the most commonly trending health related searches on Google followed by mortality (APC=27, 95% CI, 24, 30) and symptoms (APC=55, 95% CI, 50, 60) related issues. The regional comparison showed the highest cumulative peak for the Oromia region (cumulative total RSVs, 536) followed by the Tigray region (cumulative total RSVs, 512) on querying health related information from Google. No significant correlation was detected between COVID 19 cases per region/city and the maximum peaks of health related searches. Conclusion: This study revealed an initial increase in the public interest of COVID 19 related Google search, but this interest was declined over time. Tremendous circulation of infodemic monikers for the identification of the virus was also noticed in the country. The authors recommend for the government and other stakeholders to work immensely to keep the people alert on coronavirus-related issues and to promote the official names of the virus, like COVID 19, SARS CoV 2 in the public to decrease the circulation of misleading and misinformation amid the outbreak. Keywords: Coronavirus, infodemiology, infodemic monikers; Google Trends, Ethiopia

scholarly journals Dental Challenges and the Needs of the Population during the Covid-19 Pandemic Period. Real-Time Surveillance Using Google Trends

2020 ◽  
Vol 17 (23) ◽  
pp. 8999
Author(s):  
Magdalena Sycinska-Dziarnowska ◽  
Iwona Paradowska-Stankiewicz
Keyword(s):  
Public Interest ◽  
Google Trends ◽  
Search Terms ◽  
Search Volume ◽  
The Us ◽  
New Challenges ◽  
Word Search ◽  
Relative Search Volume ◽  
The Uk ◽  
Dental Needs

Background: The outbreak of the COVID-19 pandemic may lead to changes in the dental needs of the population and new challenges concerning oral health care. Methods: The Google Trends tool was used to collect data on the Internet search interest. The investigated material was collected from 1 January 2020 to 23 August 2020. Search terms “toothache”, “dentist” and “stay at home” were retrieved for the whole world as well as for the US, the UK, Poland, Italy and Sweden. Results: During the lockdown, correlation analysis indicates the lowest public interest in the word “dentist” one week preceding the peak for “toothache”, followed by an increase in the word search for “dentist”. On 12 April, worldwide, the maximum of Google Trends Relative Search Volume (RSV) for “toothache” was observed. Conclusion: Decrease in “dentist” queries during lockdown followed by an increase in “toothache” search predicts greater dental needs in the post-pandemic period. The surveillance shows significant changes in queries for dental-related terms during the course of the COVID-19 pandemic. In order to prepare for future pandemic outbreaks teledentistry programs should be taken into consideration.

scholarly journals Google Trends for Pain Search Terms in the World’s Most Populated Regions Before and After the First Recorded COVID-19 Case: Infodemiological Study (Preprint)

2021 ◽  
Author(s):  
Istvan-Szilard Szilagyi ◽  
Torsten Ullrich ◽  
Kordula Lang-Illievich ◽  
Christoph Klivinyi ◽  
Gregor Alexander Schittek ◽  
...  
Keyword(s):  
Chest Pain ◽  
Public Interest ◽  
The United States ◽  
Google Trends ◽  
Search Activity ◽  
Web Based ◽  
Pain Location ◽  
Search Terms ◽  
Before And After ◽  
Exploratory Data

BACKGROUND Web-based analysis of search queries has become a very useful method in various academic fields for understanding timely and regional differences in the public interest in certain terms and concepts. Particularly in health and medical research, Google Trends has been increasingly used over the last decade. OBJECTIVE This study aimed to assess the search activity of pain-related parameters on Google Trends from among the most populated regions worldwide over a 3-year period from before the report of the first confirmed COVID-19 cases in these regions (January 2018) until December 2020. METHODS Search terms from the following regions were used for the analysis: India, China, Europe, the United States, Brazil, Pakistan, and Indonesia. In total, 24 expressions of pain location were assessed. Search terms were extracted using the local language of the respective country. Python scripts were used for data mining. All statistical calculations were performed through exploratory data analysis and nonparametric Mann–Whitney <i>U</i> tests. RESULTS Although the overall search activity for pain-related terms increased, apart from pain entities such as headache, chest pain, and sore throat, we observed discordant search activity. Among the most populous regions, pain-related search parameters for shoulder, abdominal, and chest pain, headache, and toothache differed significantly before and after the first officially confirmed COVID-19 cases (for all, <i>P</i>&lt;.001). In addition, we observed a heterogenous, marked increase or reduction in pain-related search parameters among the most populated regions. CONCLUSIONS As internet searches are a surrogate for public interest, we assume that our data are indicative of an increased incidence of pain after the onset of the COVID-19 pandemic. However, as these increased incidences vary across geographical and anatomical locations, our findings could potentially facilitate the development of specific strategies to support the most affected groups.

scholarly journals Infodemiology of systemic lupus erythematous using Google Trends

Lupus ◽  
2017 ◽  
Vol 26 (8) ◽  
pp. 886-889 ◽  
Author(s):  
M Radin ◽  
S Sciascia
Keyword(s):  
Big Data ◽  
Northern Hemisphere ◽  
Lupus Erythematosus ◽  
Kendall Test ◽  
Google Trends ◽  
Data Monitoring ◽  
Search Term ◽  
Systemic Lupus ◽  
Search Terms ◽  
Google Search

Objective People affected by chronic rheumatic conditions, such as systemic lupus erythematosus (SLE), frequently rely on the Internet and search engines to look for terms related to their disease and its possible causes, symptoms and treatments. ‘Infodemiology’ and ‘infoveillance’ are two recent terms created to describe a new developing approach for public health, based on Big Data monitoring and data mining. In this study, we aim to investigate trends of Internet research linked to SLE and symptoms associated with the disease, applying a Big Data monitoring approach. Methods We analysed the large amount of data generated by Google Trends, considering ‘lupus’, ‘relapse’ and ‘fatigue’ in a 10-year web-based research. Google Trends automatically normalized data for the overall number of searches, and presented them as relative search volumes, in order to compare variations of different search terms across regions and periods. The Menn–Kendall test was used to evaluate the overall seasonal trend of each search term and possible correlation between search terms. Results We observed a seasonality for Google search volumes for lupus-related terms. In the Northern hemisphere, relative search volumes for ‘lupus’ were correlated with ‘relapse’ (τ = 0.85; p = 0.019) and with fatigue (τ = 0.82; p = 0.003), whereas in the Southern hemisphere we observed a significant correlation between ‘fatigue’ and ‘relapse’ (τ = 0.85; p = 0.018). Similarly, a significant correlation between ‘fatigue’ and ‘relapse’ (τ = 0.70; p < 0.001) was seen also in the Northern hemisphere. Conclusion Despite the intrinsic limitations of this approach, Internet-acquired data might represent a real-time surveillance tool and an alert for healthcare systems in order to plan the most appropriate resources in specific moments with higher disease burden.

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