scholarly journals “Dr. Google, I am in Pain”—Global Internet Searches Associated with Pain: A Retrospective Analysis of Google Trends Data

2020 ◽  
Vol 17 (3) ◽  
pp. 954 ◽  
Author(s):  
Mikołaj Kamiński ◽  
Igor Łoniewski ◽  
Wojciech Marlicz
Keyword(s):  
Abdominal Pain ◽  
Back Pain ◽  
Seasonal Variations ◽  
Google Trends ◽  
Search Term ◽  
Search Volume ◽  
Internet Users ◽  
Internet Searches ◽  
Relative Search Volume ◽  
Over Time

We aimed to rank the most common locations of pain among Google users globally and locally and analyze secular and seasonal trends in pain-related searches in the years 2004–2019. We used data generated by Google Trends (GT) to identify and analyze global interest in topics (n = 24) related to locations of pain and how these progressed over time. We analyzed secular trends and time series decomposition to identify seasonal variations. We also calculated the interest in all topics with reference to the relative search volume (RSV) of “Abdominal pain”. Google users were most commonly interested in “Headache” (1.30 [times more frequently than “Abdominal pain”]), “Abdominal pain” (1.00), and “Back pain” (0.84). “Headache” was the most frequent search term in n = 41 countries, while “Abdominal pain” was the most frequent term in n = 27 countries. The interest in all pain-related topics except “Dyspareunia” increased over time. The sharpest increase was observed for “Abdominal pain” (5.67 RSV/year), and “Toothache” (5.52 RSV/year). Most of the topics revealed seasonal variations. Among pain-related topics, “Headache,” “Abdominal pain,” and “Back pain” interested most Google users. GT is a novel tool that allows retrospective investigation of complaints among Internet users.

Seasonal variations and public search interests in Toxoplasma: a 16-year retrospective analysis of big data on Google Trends

2020 ◽  
Author(s):  
Lei Liu ◽  
Peng Wang ◽  
Su-Qin Jiang ◽  
Zi-Rong Zhong ◽  
Ting-Zheng Zhan ◽  
...  
Keyword(s):  
New Zealand ◽  
Google Trends ◽  
Seasonal Patterns ◽  
Search Term ◽  
Internet Search ◽  
Search Volume ◽  
The Usa ◽  
Search Data ◽  
Relative Search Volume ◽  
The Uk

Abstract Background This study aims to understand whether there is a seasonal change in the internet search interest for Toxoplasma by using the data derived from Google Trends (GT). Methods The present study searched for the relative search volume (RSV) for the search term ‘Toxoplasma’ in GT within six major English-speaking countries (Australia, New Zealand [Southern Hemisphere] and Canada, Ireland, the UK and the USA [Northern Hemisphere] from 1 January 2004 to 31 December 2019, utilizing the category of ‘health’. Data regarding the RSV of Toxoplasma was obtained and further statistical analysis was performed in R software using the ‘season’ package. Results There were significantly seasonal patterns for the RSV of the search term ‘Toxoplasma’ in five countries (all p<0.05), except for the UK. A peak in December–March and a trough in July–September (Canada, Ireland, the UK and the USA) were observed, while a peak in June/August and a trough in December/February (Australia, New Zealand) were also found. Moreover, the presence of seasonal patterns regarding RSV for ‘Toxoplasma’ between the Southern and Northern Hemispheres was also found (both p<0.05), with a reversed meteorological month. Conclusions Overall, our study revealed the seasonal variation for Toxoplasma in using internet search data from GT, providing additional evidence on seasonal patterns in Toxoplasma.

scholarly journals Increase in public interest concerning alternative medicine during the COVID-19 pandemic in Indonesia: a Google Trends study

F1000Research ◽  
2021 ◽  
Vol 9 ◽  
pp. 1201
Author(s):  
Dewi Rokhmah ◽  
Khaidar Ali ◽  
Serius Miliyani Dwi Putri ◽  
Khoiron Khoiron
Keyword(s):  
Alternative Medicine ◽  
Public Interest ◽  
Time Lag ◽  
Google Trends ◽  
Rank Test ◽  
Search Term ◽  
Alternative Medicines ◽  
Search Volume ◽  
Relative Search Volume ◽  
Time Lag Correlation

Background: The COVID-19 pandemic has triggered individuals to increase their healthy behaviour in order to prevent transmission, including improving their immunity potentially through the use of alternative medicines. This study aimed to examine public interest on alternative medicine during the COVID-19 pandemic using Google Trends in Indonesia. Methods: Employing a quantitative study, the Spearman rank test was used to analyze the correlation between Google Relative Search Volume (RSV) of various search terms, within the categories of alternative medicine, herbal medicine and practical activity, with COVID-19 cases. In addition, time lag correlation was also investigated. Results: Public interest toward alternative medicine during COVID-19 pandemic in Indonesia is dramatically escalating. All search term categories (alternative medicine, medical herbal, and alternative medicine activities) were positively associated with COVID-19 cases (p<0.05). The terms ‘ginger’ (r=0.6376), ‘curcumin’ (r=0.6550) and ‘planting ginger’ (0.6713) had the strongest correlation. Furthermore, time lag correlation between COVID-19 and Google RSV was also positively significant (p<0.05). Conclusion: Public interest concerning alternative medicine related terms dramatically increased after the first COVID-19 confirmed case was reported in Indonesia. Time lag correlation showed good performance using weekly data. The Indonesian Government will play an important role to provide and monitor information related to alternative medicine in order for the population to receive the maximum benefit.

scholarly journals Using Application Programming Interfaces to Access Google Data for Health Research: Protocol for a Methodological Framework (Preprint)

2019 ◽  
Author(s):  
Anne Zepecki ◽  
Sylvia Guendelman ◽  
John DeNero ◽  
Ndola Prata
Keyword(s):  
Real Time ◽  
Birth Control ◽  
Google Trends ◽  
Search Term ◽  
Health Trends ◽  
Search Queries ◽  
Search Volume ◽  
Application Programming ◽  
Relative Search Volume ◽  
Google Search

BACKGROUND Individuals are increasingly turning to search engines like Google to obtain health information and access resources. Analysis of Google search queries offers a novel approach, which is part of the methodological toolkit for infodemiology or infoveillance researchers, to understanding population health concerns and needs in real time or near-real time. While searches predominantly have been examined with the Google Trends website tool, newer application programming interfaces (APIs) are now available to academics to draw a richer landscape of searches. These APIs allow users to write code in languages like Python to retrieve sample data directly from Google servers. OBJECTIVE The purpose of this paper is to describe a novel protocol to determine the top queries, volume of queries, and the top sites reached by a population searching on the web for a specific health term. The protocol retrieves Google search data obtained from three Google APIs: Google Trends, Google Health Trends (also referred to as Flu Trends), and Google Custom Search. METHODS Our protocol consisted of four steps: (1) developing a master list of top search queries for an initial search term using Google Trends, (2) gathering information on relative search volume using Google Health Trends, (3) determining the most popular sites using Google Custom Search, and (4) calculating estimated total search volume. We tested the protocol following key procedures at each step and verified its usefulness by examining search traffic on <i>birth control</i> in 2017 in the United States. Two separate programmers working independently achieved similar results with insignificant variation due to sample variability. RESULTS We successfully tested the methodology on the initial search term <i>birth control</i>. We identified top search queries for <i>birth control</i>, of which <i>birth control pill</i> was the most popular and obtained the relative and estimated total search volume for the top queries: relative search volume was 0.54 for the pill, corresponding to an estimated 9.3-10.7 million searches. We used the estimates of the proportion of search activity for the top queries to arrive at a generated list of the most popular websites: for the pill, the Planned Parenthood website was the top site. CONCLUSIONS The proposed methodological framework demonstrates how to retrieve Google query data from multiple Google APIs and provides thorough documentation required to systematically identify search queries and websites, as well as estimate relative and total search volume of queries in real time or near-real time in specific locations and time periods. Although the protocol needs further testing, it allows researchers to replicate the steps and shows promise in advancing our understanding of population-level health concerns. INTERNATIONAL REGISTERED REPORT RR1-10.2196/16543

scholarly journals Levels of toothache-related interests of Google and YouTube users from developed and developing countries over time

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7706
Author(s):  
Matheus Lotto ◽  
Patricia E.A. Aguirre ◽  
Anna P. Strieder ◽  
Agnes F.P. Cruvinel ◽  
Thiago Cruvinel
Keyword(s):  
Developing Countries ◽  
Developed Countries ◽  
Web Searches ◽  
Search Volume ◽  
Internet Users ◽  
Education Levels ◽  
Health Related ◽  
Relative Search Volume ◽  
Google Search ◽  
Over Time

Background The preferences of Web users can be influenced by distinct factors of populations. Hence, hypothetically, source-based patterns of health-related Web searches might differ between individuals from developed and developing countries, due to their distinct educational, social, economic, political, cultural, and psychosocial backgrounds. In this context, this study aimed to determine the trends of toothache-related searches performed on Google Search and YouTube, regarding differences between developed and developing countries. Methods This retrospective longitudinal study analyzed computational metadata on toothache-related interests of Internet users. Google Trends was accessed to obtain the monthly variation of relative search volume (RSV) of the topic “Toothache-Disease” on Google (G) and YouTube (YT) through 2008–2017. Autocorrelation and partial autocorrelation plots, ARIMA models, Kruskal–Wallis, Dunn’s and T tests were performed for evaluating trends, 12-month forecasts and the differences of annual ratios of YT/G searches between developed and developing countries, respectively (P < 0.05). Results Uptrends of RSVs were observed in both country groups over time, although 12-month forecasts tended to plateau.The volumes of searches were higher in developed countries in comparison to developing ones; however, this difference was not observed regarding Google searches performed between 2016 and 2017. Independently of country groups, the ratios YT/G remained relatively constant throughout the period, indicating a greater interest in toothache-related information available on Google. Conclusion In conclusion, toothache-related searches from Google and YouTube increased during the last decade. The preferences of Web users seemed to be influenced by the differences between developed and developing countries, such as the availability and penetration of the Internet, and education levels.

Google trends to identify public’s Interest in bowel cancer, A Web Based Analysis.

2020 ◽  
Vol 5 (4) ◽  
pp. 01-04
Author(s):  
T Manzoor
Keyword(s):  
Bowel Cancer ◽  
Google Trends ◽  
Volume Index ◽  
Search Term ◽  
Health Campaigns ◽  
Cancer Awareness ◽  
Search Volume ◽  
Search Data ◽  
Public Health Campaigns ◽  
Relative Search Volume

Aims: Bowel Cancer is one of the commonest cancers in UK. Google Trends were used to evaluate public’s search interest regarding bowel cancer. We hypothesize that the search data in Google Trends may be influenced by “Bowel cancer awareness month” campaign and that in future this might be a useful surrogate to monitor the effectiveness of public health campaigns. Methods: Google Trends were used to extract data presented as “Relative search volume index”(SVI) ranging between 0 to 100. “Bowel Cancer” was used as a search term to collect the relevant data for the last 5 years ( January 2015 to December 2019), All the peaks were assessed and their correlation with bowel cancer awareness month was noted. Results: We noticed an upward trend for the searched term during the months of April for most of the years where peak of search touched 90%. It corresponds with bowel cancer awareness month campaign. A downward trend was also noticed during the months of December during all years where it went down to 53%. This may represent avoidance of health related searches during the happy holiday period. Conclusion: Our study shows an encouraging association between bowel cancer awareness month campaign and public’s search interest. Results can be used in future to start effective awareness strategies and leverage future interventions.

scholarly journals Determination of the Popularity of Dietary Supplements Using Google Search Rankings

Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 908 ◽  
Author(s):  
Mikołaj Kamiński ◽  
Matylda Kręgielska-Narożna ◽  
Paweł Bogdański
Keyword(s):  
Dietary Supplements ◽  
Google Trends ◽  
Access To Information ◽  
Search Volume ◽  
Regional Interest ◽  
Trends Over Time ◽  
Relative Search Volume ◽  
Google Search ◽  
Over Time

The internet provides access to information about dietary supplements and allows their easy purchase. We aimed to rank the interest of Google users in dietary supplements and to determine the changes that occurred in their popularity from 2004 to 2019. We used Google Trends to generate data over time on regional interest in dietary supplements (n = 200). We categorized each included supplement and calculated the interest in all topics in proportion to the relative search volume (RSV) of “lutein”. We analyzed the trends over time of all topics and categories. Globally, the topics with the highest popularity were “magnesium”, which was 23.72 times more popular than “lutein”, “protein” (15.22 times more popular), and “iron” (15.12). The categories of supplements receiving most interest were protein (9.64), mineral (5.24), and vitamin (3.47). The RSV of seven categories of topics (amino acid, bacterial, botanical, fiber, mineral, protein, and vitamin) increased over time while two categories (enzyme and fat or fatty acid) saw a drop in their RSV. Overall, 119 topics saw an increase in interest over time, 19 remained stable, and 62 saw interest in them decrease. Google Trends provides insights into e-discourse and enables analysis of the differences in popularity of certain topics across countries and over time.

scholarly journals Increase in public interest concerning alternative medicine during the COVID-19 pandemic in Indonesia: a Google Trends study

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 1201
Author(s):  
Dewi Rokhmah ◽  
Khaidar Ali ◽  
Serius Miliyani Dwi Putri ◽  
Khoiron Khoiron
Keyword(s):  
Alternative Medicine ◽  
Public Interest ◽  
Time Lag ◽  
Google Trends ◽  
Rank Test ◽  
Search Term ◽  
Alternative Medicines ◽  
Search Volume ◽  
Relative Search Volume ◽  
Time Lag Correlation

Background: The COVID-19 pandemic has triggered individuals to increase their healthy behaviour in order to prevent transmission, including improving their immunity potentially through the use of alternative medicines. This study aimed to examine public interest on alternative medicine during the COVID-19 pandemic using Google Trends in Indonesia. Methods: Employing a quantitative study, the Spearman rank test was used to analyze the correlation between Google Relative Search Volume (RSV) of various search terms, within the categories of alternative medicine, herbal medicine and practical activity, with COVID-19 cases. In addition, time lag correlation was also investigated. Results: Public interest toward alternative medicine during COVID-19 pandemic in Indonesia is dramatically escalating. All search term categories (alternative medicine, medical herbal, and alternative medicine activities) were positively associated with COVID-19 cases (p<0.05). The terms ‘ginger’ (r=0.6376), ‘curcumin’ (r=0.6550) and ‘planting ginger’ (0.6713) had the strongest correlation. Furthermore, time lag correlation between COVID-19 and Google RSV was also positively significant (p<0.05). Conclusion: Public interest concerning alternative medicine related terms dramatically increased after the first COVID-19 confirmed case was reported in Indonesia. Time lag correlation showed good performance using weekly data. The Indonesian Government will play an important role to provide and monitor information related to alternative medicine in order for the population to receive the maximum benefit.

scholarly journals P.049 Seasonal variations in aneurysmal subarachnoid hemorrhage: revisiting the myth using google trends

2017 ◽  
Vol 44 (S2) ◽  
pp. S25-S26
Author(s):  
J Ku ◽  
NM Alotaibi ◽  
J Wang ◽  
GM Ibrahim
Keyword(s):  
Subarachnoid Hemorrhage ◽  
Seasonal Variations ◽  
Aneurysmal Subarachnoid Hemorrhage ◽  
Aneurysm Rupture ◽  
Google Trends ◽  
Seasonal Effect ◽  
Search Term ◽  
Online Search ◽  
Brain Aneurysm ◽  
Search Volume

Background: Results of previous studies examining seasonal variation in the incidence of aneurysmal subarachnoid hemorrhage (SAH) are conflicting. The aim of this study is to investigate whether there is a seasonal effect in online search queries for SAH that may reflect an association between meteorological factors and aneurysm rupture. Methods: We utilized the Google Trends data service to analyze the volume of internet queries for SAH on Google’s search engine from January 1, 2004 to November 2016. We used comprehensive search terms and collected data from: USA, Canada, Finland, and Japan, as well as worldwide search volume. Potential seasonal variations in the data were assessed by comparative non-parametric tests and curve-fit regression model. Results: Our analyses revealed that USA had the highest median search scores (115 vs. 86, 46, 46 for Finland, Canada and Japan, respectively). The term “brain aneurysm” was the commonly used search term among countries, followed by “cerebral aneurysm”. There was no evidence of seasonality in any of the countries studied on both univariate tests and regression time-adjusted analysis. Conclusions: There are no seasonal variations in internet search query volume for SAH. Further studies are needed to explore whether online search volumes correlate with the actual incidence of SAH.

scholarly journals "Dr. Google" consultations on psoriasis: trends and seasonality in a digital era. (Preprint)

2020 ◽  
Author(s):  
Fernando Garcia-Souto ◽  
Jose Juan Pereyra-Rodriguez
Keyword(s):  
Google Trends ◽  
Percentage Change ◽  
Volume Index ◽  
Treatment Modalities ◽  
Search Term ◽  
Annual Percentage Change ◽  
Digital Era ◽  
Search Volume ◽  
Relative Search Volume ◽  
Join Point

BACKGROUND In recent years, the Internet has become an essential tool where people seek information about health care. OBJECTIVE The aim of this study is to use data from Google Trends to analyze worldwide public interest in psoriasis and its different treatment modalities, and to analyze the possible seasonality of searches. METHODS A worldwide search was carried out through Google Trends from 2004 to 2019. A combination of terms related to psoriasis treatments was introduced. Join-point regression has been performed. Google Trends assigns a relative search volume index to the search terms. Comparison annual relative search volume, annual percentage change, and average annual percentage change (AAPC) were analyzed to assess loss or gain of interest. RESULTS Our study reflects an increase interest in secukinumab (AAPC: 33.7), ixekizumab (AAPC: 23.3) and apremilast (AAPC: 21.4). It shows less interest in methotrexate (AAPC: -3.6), retinoids (AAPC: -9.8), cyclosporine (AAPC: -9.8), phototherapy (AAPC: -6.3), etanercept (AAPC: -14.9), infliximab (AAPC: -14) and adalimumab (AAPC: -5.8). Seasonality was found in the search term “psoriasis”. CONCLUSIONS Secukinumab followed by ixekizumab, and apremilast have been the treatments that have aroused the most interest. Our results show current psoriasis search trends and its different treatments based on Google trend analysis.

scholarly journals Using Application Programming Interfaces to Access Google Data for Health Research: Protocol for a Methodological Framework

10.2196/16543 ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. e16543
Author(s):  
Anne Zepecki ◽  
Sylvia Guendelman ◽  
John DeNero ◽  
Ndola Prata
Keyword(s):  
Real Time ◽  
Birth Control ◽  
Google Trends ◽  
Search Term ◽  
Health Trends ◽  
Search Queries ◽  
Search Volume ◽  
Application Programming ◽  
Relative Search Volume ◽  
Google Search

Background Individuals are increasingly turning to search engines like Google to obtain health information and access resources. Analysis of Google search queries offers a novel approach, which is part of the methodological toolkit for infodemiology or infoveillance researchers, to understanding population health concerns and needs in real time or near-real time. While searches predominantly have been examined with the Google Trends website tool, newer application programming interfaces (APIs) are now available to academics to draw a richer landscape of searches. These APIs allow users to write code in languages like Python to retrieve sample data directly from Google servers. Objective The purpose of this paper is to describe a novel protocol to determine the top queries, volume of queries, and the top sites reached by a population searching on the web for a specific health term. The protocol retrieves Google search data obtained from three Google APIs: Google Trends, Google Health Trends (also referred to as Flu Trends), and Google Custom Search. Methods Our protocol consisted of four steps: (1) developing a master list of top search queries for an initial search term using Google Trends, (2) gathering information on relative search volume using Google Health Trends, (3) determining the most popular sites using Google Custom Search, and (4) calculating estimated total search volume. We tested the protocol following key procedures at each step and verified its usefulness by examining search traffic on birth control in 2017 in the United States. Two separate programmers working independently achieved similar results with insignificant variation due to sample variability. Results We successfully tested the methodology on the initial search term birth control. We identified top search queries for birth control, of which birth control pill was the most popular and obtained the relative and estimated total search volume for the top queries: relative search volume was 0.54 for the pill, corresponding to an estimated 9.3-10.7 million searches. We used the estimates of the proportion of search activity for the top queries to arrive at a generated list of the most popular websites: for the pill, the Planned Parenthood website was the top site. Conclusions The proposed methodological framework demonstrates how to retrieve Google query data from multiple Google APIs and provides thorough documentation required to systematically identify search queries and websites, as well as estimate relative and total search volume of queries in real time or near-real time in specific locations and time periods. Although the protocol needs further testing, it allows researchers to replicate the steps and shows promise in advancing our understanding of population-level health concerns. International Registered Report Identifier (IRRID) RR1-10.2196/16543

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