scholarly journals Seasonal Variation and Global Public Interest in the Internet Searches for Osteoporosis

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Chao Wang ◽  
Xiong Shu ◽  
Jianfeng Tao ◽  
Yanzhuo Zhang ◽  
Yue Yuan ◽  
...  
Keyword(s):  
Seasonal Variation ◽  
Public Interest ◽  
Seasonal Pattern ◽  
Late Winter ◽  
Search Term ◽  
Ibandronic Acid ◽  
Search Volume ◽  
Significant Seasonal Variation ◽  
Relative Search Volume ◽  
Google Search

Background. To ascertain the seasonal pattern and global public interest in osteoporosis by evaluating search term popularity changes of the disease over a decade. Methods. We applied Google Trends to retrieve search popularity scores for the term “osteoporosis” between January 01, 2004, and December 31, 2019. Cosinor analyses were conducted to examine the seasonality of osteoporosis, and analysis on osteoporosis-related topics including hot topics and rising-related topics was also performed. Results. The cosinor analyses demonstrated a statistically significant seasonal variation in relative search volume of the “osteoporosis” in the world ( p = 0.0083 ), USA ( p < 0.001 ), UK ( p < 0.001 ), Canada ( p < 0.001 ), Ireland ( p < 0.001 ), Australia ( p < 0.001 ), and New Zealand ( p < 0.001 ), with a peak in the late winter months and trough in the summer months. The peaks in late winter and valley in summer presented an approximately 6-month difference between hemispheres. The top 11 rising topics were denosumab, FRAX, hypocalcaemia, zoledronic acid, ibandronic acid, osteomyelitis, osteopenia, osteoarthritis, bone, calcium, and bone density. Conclusions. Google search query volumes related to osteoporosis follow strong seasonal patterns with late winter peaks and summer troughs. Further studies aimed at elucidating the possible mechanisms behind seasonality in osteoporosis are needed. Moreover, Internet data including the top rising topics may alert physicians to strengthen the propaganda of osteoporosis timely, so as to further promote the development of public health interventions.

Global public interest in systemic lupus erythematosus: an investigation based on internet search data

Lupus ◽  
2019 ◽  
Vol 28 (12) ◽  
pp. 1435-1440 ◽  
Author(s):  
G C Wu ◽  
F Cao ◽  
H H Shen ◽  
L Q Hu ◽  
Y Hu ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Seasonal Variation ◽  
Public Interest ◽  
Lupus Erythematosus ◽  
Search Term ◽  
Systemic Lupus ◽  
Search Volume ◽  
Significant Seasonal Variation ◽  
Search Data ◽  
Relative Search Volume

Objective This study aims at investigating the global public interest in seeking information about systemic lupus erythematosus (SLE) using Google Trends (GT). Methods An electronic search was performed using GT with the search term lupus as well as the option of disease from January 2004 to December 2018. Cosinor analysis was applied to detect the seasonality of SLE-related relative search volume (RSV). In addition, analysis on SLE-related topics including “hot topics” and “top rising topics” was also conducted. Results Overall, SLE-related RSV showed a decreasing trend from January 2004 to December 2013 and then demonstrated a slowly increasing trend from January 2014 to December 2018. Cosinor test showed no significant seasonal variation in SLE-related RSV ( p > .025). RSV peaked in May and reached the trough in November. The top seven rising topics were Selena Gomez, Sjögren syndrome, autoimmunity, rheumatoid arthritis, rheumatology, antinuclear antibody and autoimmune disease. Conclusion The results from GT analysis showed slowly increasing internet searches for SLE in recent years. This trend was followed by a peak of RSV in May and reached its lowest level in November. However, globally, the results did not reveal a significant seasonal variation in GT for SLE. Additionally, the top fast-growing topics regarding SLE may be valuable for doctors and nurses to provide timely education of the disease to patients, as well as promote the development of public health.

Seasonality and global public interest in psoriasis: an infodemiology study

2019 ◽  
Vol 96 (1133) ◽  
pp. 139-143 ◽  
Author(s):  
Qian Wu ◽  
Zhiwei Xu ◽  
Yi-Lin Dan ◽  
Chan-Na Zhao ◽  
Yan-Mei Mao ◽  
...  
Keyword(s):  
New Zealand ◽  
Public Interest ◽  
Seasonal Pattern ◽  
Late Summer ◽  
Early Spring ◽  
Late Winter ◽  
Search Volume ◽  
Early Autumn ◽  
Search Data ◽  
Google Search

ObjectiveAlthough patients with psoriasis frequently report seasonal changes in their symptoms, the seasonality of psoriasis has rarely been explored. This study aims to investigate the seasonal pattern of and global public interest in psoriasis using Google search data.MethodsInternet search data were collected from Google Trends. Data on the relative search volume (RSV) from January 2004 to December 2018 were retrieved using the term psoriasis. Cosinor analyses were conducted to examine the seasonality of psoriasis using data from two southern hemisphere countries (Australia and New Zealand) and four northern hemisphere countries (USA, Canada, UK and Ireland).ResultsOverall, searches for psoriasis steadily decreased between 2004 and 2010, and then rose from 2011 to 2018. On cosinor analyses, RSV of ‘psoriasis’ displayed a significant seasonal variation worldwide (p<0.025). Further analyses confirmed the seasonality of psoriasis-related RSV in Australia, New Zealand, USA, Canada, UK and Ireland (p<0.025 for all), with peaks in the late winter/early spring months and troughs in the late summer/early autumn months. The top 11 rising topics were calcipotriol/betamethasone dipropionate, ustekinumab, apremilast, shampoo, eczema, guttate psoriasis, seborrhoeic dermatitis, dermatitis, psoriatic arthritis, atopic dermatitis and arthritis.ConclusionThere was a significant seasonal pattern for psoriasis, with peaks in the late winter/early spring and troughs in the late summer/early autumn. Further studies are warranted to confirm the seasonal pattern of psoriasis using clinical data and to explore the underlying mechanisms.

Public Interest in Raynaud’s Phenomenon: A Google Trends Analysis

2020 ◽  
Author(s):  
Yuanzhuo Wang ◽  
Hanlin Zhang ◽  
Qingyue Zheng ◽  
Keyun Tang ◽  
Qiuning Sun
Keyword(s):  
Public Interest ◽  
Seasonal Pattern ◽  
Raynaud’S Phenomenon ◽  
Raynaud's Phenomenon ◽  
Google Trends ◽  
Search Term ◽  
The Public ◽  
Search Volume ◽  
Disease Attack ◽  
Relative Search Volume

Abstract Introduction: Raynaud’s phenomenon is a common disorder affecting body extremities. As infodemiological methods developed, online search tools could be used to explore the public interest of the disease. The study aimed to determine the annual trend, seasonal pattern, and associated topics of Raynaud’s phenomenon.Methods: Google Trends was used to collect the data. “Raynaud syndrome” was selected as the search term. Data on monthly relative search volume (RSV) were collected from 4 selected countries (United States, United Kingdom, Australia, and New Zealand) and globally. Related topics were obtained, and annual related topics were also collected for analysis.Results: The maximum RSV appeared in January 2019, and the minimum value was observed in August 2011. The peak for RSV occurred in winter, and the bottom appeared in summer. In top related topics, “Maurice Raynaud” was the most related. In rising related topics, disease manifestations and autoimmune connective diseases were highly concerned. For annual related topics, associated diseases were attracting more attention over time.Conclusions: The population is interested in related diseases, pathogenesis, and treatment. There was a peak in winter for searching and revealed that there might be a positive correlation between disease attack and seasonal variation.

scholarly journals Enhanced Public Interest in Response to the Refugee and Healthcare Crises in Greece

2020 ◽  
Vol 17 (7) ◽  
pp. 2272 ◽  
Author(s):  
Ourania S. Kotsiou ◽  
Vaios S. Kotsios ◽  
Konstantinos I. Gourgoulianis
Keyword(s):  
Economic Crisis ◽  
Public Interest ◽  
Public Awareness ◽  
National Health System ◽  
Search Term ◽  
The Public ◽  
Search Terms ◽  
Search Volume ◽  
Aegean Islands ◽  
Relative Search Volume

Background: The Greek National Health System (NHS) has been profoundly affected by the synergy of the economic and refugee crises. We aimed at evaluating the public interest regarding refugee and healthcare issues in Greece. Methods: Google Trends was employed to normalize traffic data on a scale from 0 to 100, presented as monthly relative search volume (RSV) for the search term queries: “refugees”, “health”, “diseases”, “hospital”, and “economic crisis” in Greece, from the period 2008 to 2020. Cross-country comparisons in selected European countries were made. Results: The analysis of RSV data showed an upward trend for the keyword “refugee”, in Greece, in the last five years, with two remarkable peaks from 2015 to 2016 and from 2019 to the present. Interest regarding refugees was more prevalent in the Aegean islands compared to the mainland. The mass influx of refugees has been linked to disease-related concerns. The search terms “hospital” and “health” have been the most popular and constantly quested topics since the beginning of the economic crisis in Greece, in 2009. Similar trends existed across Europe. Conclusion: There is an urgent need for effective public awareness of current politico-ethical and social-economic conditions. The patterns of public interest can formulate public policy.

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 Internet search results correlate with seasonal variation of sarcoidosis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Amanda Stanton ◽  
Steven J. Katz
Keyword(s):  
Seasonal Variation ◽  
Statistical Significance ◽  
Epidemiologic Studies ◽  
Google Trends ◽  
Medical Diagnoses ◽  
Search Terms ◽  
Search Volume ◽  
Significant Seasonal Variation ◽  
Relative Search Volume ◽  
Low Prevalence

Abstract Background The etiology and pathophysiology of sarcoidosis remains unclear, with epidemiologic studies limited by its relatively low prevalence. The internet has prompted patients to seek information about medical diagnoses online; Google Trends provides access to an anonymized version of this data, which has a new role in epidemiology. We hypothesize that there is seasonal variation in the relative search interest of sarcoidosis, which would suggest seasonal variation in the incidence of sarcoidosis. Methods Google Trends was used to assess the relative search volume from 2010 to 2020 for “sarcoidosis” and “sarcoid” in 7 countries. ANOVA with multiple comparisons was performed to compare the mean relative search volume by month and by season for each country, with a p-value less than 0.05 indicating statistical significance. Results Our analysis revealed a significant seasonal variation in search popularity in 4 of the 7 countries and in the Northern Hemispheric countries combined. Direct comparison showed search terms to be more popular in spring, specifically March & April, than in the winter. Southern Hemisphere data was not statistically significant but showed a trend towards a nadir in December and a peak in September and October. Conclusions Overall, these findings suggest seasonal variation with a possible peak in spring and nadir in winter. This supports the hypothesis that sarcoidosis has seasonal variation and is more commonly diagnosed in spring, but more evidence is needed to support this, as well as investigation into the pathophysiology of sarcoidosis to explain this phenomenon.

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 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 Research Interest and Public Interest in Melanoma: A Bibliometric and Google Trends Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Hanlin Zhang ◽  
Yuanzhuo Wang ◽  
Qingyue Zheng ◽  
Keyun Tang ◽  
Rouyu Fang ◽  
...  
Keyword(s):  
Seasonal Variation ◽  
Public Interest ◽  
Treatment Options ◽  
The United States ◽  
Research Interest ◽  
Google Trends ◽  
Diagnostic Tools ◽  
Search Volume ◽  
Trends Analysis ◽  
Relative Search Volume

IntroductionMelanoma is a severe skin cancer that metastasizes quickly. Bibliometric analysis can quantify hotspots of research interest. Google Trends can provide information to address public concerns.MethodsThe top 15 most frequently cited articles on melanoma each year from 2015 to 2019, according to annual citations, were retrieved from the Web of Science database. Original articles, reviews, and research letters were included in this research. For the Google Trends analysis, the topic “Melanoma” was selected as the keyword. Online search data from 2004 to 2019 were collected. Four countries (New Zealand, Australia, the United States and the United Kingdom) were selected for seasonal analysis. Annual trends in relative search volume and seasonal variation were analyzed, and the top related topics and rising related topics were also selected and analyzed.ResultsThe top 15 most frequently cited articles each year were all original articles that focused on immunotherapy (n=8), omics (n=5), and the microbiome (n=2). The average relative search volume remained relatively stable across the years. The seasonal variation analysis revealed that the peak appeared in summer, and the valley appeared in winter. The diseases associated with or manifestations of melanoma, treatment options, risk factors, diagnostic tools, and prognosis were the topics in which the public was most interested. Most of the topics revealed by bibliometric and Google Trends analyses were consistent, with the exception of issues related to the molecular biology of melanoma.ConclusionThis study revealed the trends in research interest and public interest in melanoma, which may pave the way for further research.

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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