scholarly journals Seasonality in Human Interest in Berry Plants Detection by Google Trends

2021 ◽  
Vol 4 ◽  
Author(s):  
Ayumi Kotani ◽  
Nagai Shin ◽  
Shunsuke Tei ◽  
Andrey Makarov ◽  
Tuyara Gavrilyeva
Keyword(s):  
Ecological Factors ◽  
Specific Pattern ◽  
Google Trends ◽  
Internet Search ◽  
Arctic Ecosystems ◽  
Human Interest ◽  
Cultural Aspects ◽  
Search Volume ◽  
Search Data ◽  
Physical Phenomena

The phenology of berry-producing plants, particularly their harvest season, is of human interest and also reflects the ecosystem’s response to the changing environment. We investigated the seasonal dynamics of human interest in berries growing in boreal, subarctic and Arctic ecosystems, mainly in Russia, based on internet search data via Google Trends. There is a typical and culture-specific pattern of seasonal variations in search volume concerning berries across Russia, Finland, and Canada. Generally, the seasonal peak of search corresponds to the common berry harvest season across these countries. We discussed the potential and limitation for detecting ecological factors from the internet search data, in which physical phenomena and socio-cultural aspects are fundamentally superimposed, and its applicability to phenological studies.

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 Seasonality of cellulitis: evidence from Google Trends

2017 ◽  
Author(s):  
Xin Zhang ◽  
Shuangsuo Dang ◽  
Fanpu Ji ◽  
Xiongxiong Bao ◽  
Wenjun Wang
Keyword(s):  
Clinical Experience ◽  
Clinical Data ◽  
Google Trends ◽  
The Internet ◽  
Internet Search ◽  
Monthly Data ◽  
Search Volume ◽  
Search Data

According to our clinical experience, cellulitis is common in summer; however, very few studies have mentioned this trend. Using Google Trends, we analyzed the monthly data of Google searches for ‘cellulitis’ from 31 countries on six continents. Seasonality explained 34%-92% of the variability in search volume, with peaks occurring in summer months. The analyses offered new insights into the epidemiology of cellulitis on national and international scales. Clinical data are needed to validate the Internet search data.

scholarly journals Seasonality of cellulitis: evidence from Google Trends

2017 ◽  
Author(s):  
Xin Zhang ◽  
Shuangsuo Dang ◽  
Fanpu Ji ◽  
Xiongxiong Bao ◽  
Wenjun Wang
Keyword(s):  
Clinical Experience ◽  
Clinical Data ◽  
Google Trends ◽  
The Internet ◽  
Internet Search ◽  
Monthly Data ◽  
Search Volume ◽  
Search Data

According to our clinical experience, cellulitis is common in summer; however, very few studies have mentioned this trend. Using Google Trends, we analyzed the monthly data of Google searches for ‘cellulitis’ from 31 countries on six continents. Seasonality explained 34%-92% of the variability in search volume, with peaks occurring in summer months. The analyses offered new insights into the epidemiology of cellulitis on national and international scales. Clinical data are needed to validate the Internet search data.

scholarly journals Increase in searches for erectile dysfunction during winter: seasonal variation evidence from Google Trends in the United States

2021 ◽  
Author(s):  
Belén Mora Garijo ◽  
Jonathan E. Katz ◽  
Aubrey Greer ◽  
Mia Gonzalgo ◽  
Alejandro García López ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
United States ◽  
Erectile Dysfunction ◽  
Seasonal Variation ◽  
Kidney Stones ◽  
Seasonal Pattern ◽  
The United States ◽  
Google Trends ◽  
Internet Search ◽  
Search Volume

AbstractSeveral diseases associated with erectile dysfunction (ED), such as type 2 diabetes mellitus (T2DM) and coronary artery disease (CAD), are known to have seasonal variation, with increased incidence during winter months. However, no literature exists on whether this chronological-seasonal evolution is also present within ED symptomatology. We hypothesized ED would follow the seasonal pattern of its lifestyle-influenced comorbid conditions and exhibit increased incidence during winter months. In order to investigate the seasonal variation of ED in the United States between 2009 and 2019, Internet search query data were obtained using Google Trends. Normalized search volume was determined during the winter and summer seasons for ED, other diseases known to be significantly associated with ED (T2DM and CAD), kidney stones (positive control), and prostate cancer (negative control). There were significantly more internet search queries for ED during the winter than during the summer (p = 0.001). CAD and T2DM also had significantly increased search volume during winter months compared to summer months (p < 0.001 and p = 0.011, respectively). By contrast, searches for kidney stones were significantly increased in the summer than in the winter (p < 0.001). There was no significant seasonal variation in the relative search frequency for prostate cancer (p = 0.75). In conclusion, Google Trends internet search data across a ten-year period in the United States suggested a seasonal variation in ED, which implies an increase in ED during winter. This novel finding in ED epidemiology may help increase awareness of ED’s associated lifestyle risk factors, which may facilitate early medical evaluation and treatment for those at risk of both ED and cardiovascular disease.

Assessing E-Government Success Strategies using Internet Search Data

2013 ◽  
pp. 289-307
Author(s):  
Katherine M. Boland ◽  
John G. McNutt
Keyword(s):  
Longitudinal Data ◽  
Google Trends ◽  
Success Strategies ◽  
Internet Search ◽  
Dynamic Nature ◽  
Government Programs ◽  
Search Data ◽  
Research Questions ◽  
Internet Searches ◽  
Citizen Response

Evaluating e-government programs can be a challenging task. While determining program features and capacity are relatively straightforward processes, exploring the more dynamic nature of citizen response to e-government is difficult. Fortunately, recent advances in Internet search technology offer researchers new opportunities to address these research questions. Innovations, such as Google Trends and Google Insights for Search, have made longitudinal data on Internet searches accessible to scholars. The availability of this data opens a number of possible research avenues regarding e-government.

Using internet search data to explore the global public concerns in ankylosing spondylitis

2020 ◽  
pp. postgradmedj-2019-137407
Author(s):  
Yong-Jun Mei ◽  
Yan-Mei Mao ◽  
Fan Cao ◽  
Tao Wang ◽  
Zhi-Jun Li
Keyword(s):  
Rheumatoid Arthritis ◽  
Ankylosing Spondylitis ◽  
Public Interest ◽  
Global Scale ◽  
Hla B27 ◽  
Internet Search ◽  
Search Volume ◽  
Significant Seasonal Variation ◽  
Search Data ◽  
Public Concerns

ObjectiveThis study explored the changes of global public interest in internet search of ankylosing spondylitis (AS) based on Google Trends (GT) data, in order to reflect the characteristics of AS itself.MethodsGT was used to obtain the search popularity scores of the term ’AS’ on a global scale, between January 2004 and December 2018, under the ’health’ classification. Based on the global search data of AS provided by GT, the cosinor analysis was used to test whether there was seasonality in AS.ResultsIn general, AS related search volume demonstrated a decreasing trend from January 2004 to December 2014 and then remain stable from January 2015 to December 2018. No obvious seasonal variations were detected in AS related search volume (amplitude=1.54; phase: month=3.9; low point: month=9.9; p>0.025), which peaked in April and bottomed out in October. The top 17 rising topics were adalimumab, spondylolisthesis, Morbus, Vladimir Mikhailovich Bekhterev, autoimmune disease, rheumatoid arthritis, ankylosis, HLA- B27 positive, Crohn’s disease, rheumatology, spondylosis, arthritis, uveitis, rheumatism, sacroiliac, psoriatic arthritis and spondylitis.ConclusionsGlobally, there is no significant seasonal variation in GT for AS. The top fast-growing topics related to AS may be beneficial for doctors to provide targeted health education of the disease to patients and their families.

Discovering business information from search engine query data

2014 ◽  
Vol 38 (4) ◽  
pp. 562-574 ◽  
Author(s):  
Liwen Vaughan
Keyword(s):  
Search Engine ◽  
Business Performance ◽  
Google Trends ◽  
Volume Data ◽  
Content Type ◽  
Search Volume ◽  
Business Information ◽  
Position Data ◽  
Search Data ◽  
One Year

Purpose – The purpose of this paper is to examine the feasibility of discovering business information from search engine query data. Specifically the study tried to determine whether search volumes of company names are correlated with the companies’ business performance and position data. Design/methodology/approach – The top 50 US companies in the 2012 Fortune 500 list were included in the study. The following business performance and position data were collected: revenues, profits, assets, stockholders’ equity, profits as a percentage of revenues, and profits as a percentage of assets. Data on the search volumes of the company names were collected from Google Trends, which is based on search queries users enter into Google. Google Trends data were collected in the two scenarios of worldwide searches and US searches. Findings – The study found significant correlations between search volume data and business performance and position data, suggesting that search engine query data can be used to discover business information. Google Trends’ worldwide search data were better than the US domestic search data for this purpose. Research limitations/implications – The study is limited to only one country and to one year of data. Practical implications – Publicly available search engine query data such as those from Google Trends can be used to estimate business performance and position data which are not always publicly available. Search engine query data are timelier than business data. Originality/value – This is the first study to establish a relationship between search engine query data and business performance and position data.

scholarly journals MP44-05 SUCCESS OF MEN'S CANCER AWARENESS CAMPAIGNS ACCORDING TO INTERNET SEARCH VOLUME: A GOOGLE TRENDS ANALYSIS

2019 ◽  
Vol 201 (Supplement 4) ◽  
Author(s):  
Mehul Patel* ◽  
Joshua Halpern ◽  
Anuj Desai ◽  
Jeremy Lai ◽  
Matthew Hudnall ◽  
...  
Keyword(s):  
Google Trends ◽  
Internet Search ◽  
Cancer Awareness ◽  
Awareness Campaigns ◽  
Search Volume ◽  
Trends Analysis

Anxious? Just Google It: Social Ecological Factors of Internet Search Records on Anxiety

2018 ◽  
Author(s):  
Takeshi Hamamura ◽  
Christian Shaunlyn Chan
Keyword(s):  
Social Science Research ◽  
Ecological Factors ◽  
Population Level ◽  
Science Research ◽  
Psychological Research ◽  
Self Report ◽  
Internet Search ◽  
Major Disaster ◽  
Search Data ◽  
Google Search

Records of Internet search are increasingly used in social science research. Three studies reported here tested (a) whether population-level anxiety is reflected in Internet search data and (b) the socio-ecological and cultural factors of anxiety. Using data from Japan, we found that the Google search rates of anxiety are associated with self-report anxiety (Study 1), and that the search rates increased following a major disaster (Study 2). These findings suggest that anxiety is searched more often on the Internet when and where people are feeling anxious. However, while search rates of anxiety increased since 2010, there was no sign of worsening anxiety among Japanese in two large national data on self-report anxiety (Study 1). Study 3 used search data to examine an anxiety-related cultural phenomenon. Consistent with a lay belief that is rarely empirically examined, we found that anxiety among Japanese increases in spring when millions in the country make school and career transitions. This pattern was somewhat more pronounced in large cities and was not evident in other negative emotions examined. Together, these findings add to psychologists’ understanding of anxiety particularly its vulnerability to environmental threat and social disconnection. These findings also demonstrate the potential of Internet search data in advancing psychological research, particularly in examining mental processes’ socio-ecological, cultural, and temporal factors.

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