Assessing neurosurgical trends in literature and online: a Google Trends, Google Books and PubMed study (Preprint)

Author(s):  
Tomasz Szmuda ◽  
Shan Ali ◽  
Paweł Słoniewski

BACKGROUND Google Books Ngram Viewer (Ngram) is an open online database of 5 million printed books where the frequency of words occurring in books can be analyzed over time. Google Trends is a tool that allows one to gauge popularity of search terms and topics over time. These tools have not yet been used together to assess the historical and current the trends in neurosurgery. OBJECTIVE To assess the neurosurgical trends in literature and online in the past and currently. METHODS Ngram, Google Trends and PubMed data were used to analyze the neurosurgical trends from 2004–2008. Next, Google Trends and PubMed data was obtained from 2018 to compare the data. The following keywords were searched on all three platforms: brain tumor, sciatica, neurosurgery, hydrocephalus and concussion. RESULTS Each platform had a characteristic interest in each topic. Online Google searches were most concerned with sciatica (62/100 worldwide), the scientific community with neurosurgery (7661 average yearly publications) and book authors wrote most about concussions (0.00013% worldwide Google One Million books). Sciatica held both the least scientific publications (129 average yearly publications) and one of the least mentions in printed books (0.000030% worldwide Google One Million books). The online and PubMed interest levels stayed the same from 2004 to 2018. However, concussion—which held one of the lowest online search interests from 2004 to 2008—had a major increase in 2018 online searches. CONCLUSIONS Ngram, Google Trends and PubMed data together provide valuable insights into the health interests among physicians and the public. It is crucial for neurosurgeons to be aware of historical trends as they offer vital insight on the driving factors in medicine today. Physicians can use this understanding to better align public and scientific concerns for the future, provide better patient education and raise awareness on issues that might be overlooked by the public.

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249810
Author(s):  
Adrian Galido ◽  
Jerina Jean Ecleo ◽  
Atina Husnayain ◽  
Emily Chia-Yu Su

Public health agencies have suggested nonpharmaceutical interventions to curb the spread of the COVID-19 infections. The study intended to explore the information-seeking behavior and information needs on preventive measures for COVID-19 in the Philippine context. The search interests and related queries for COVID-19 terms and each of the preventive measures for the period from December 31, 2019 to April 6, 2020 were generated from Google Trends. The search terms employed for COVID-19 were coronavirus, ncov, covid-19, covid19 and “covid 19.” The search terms of the preventive measures considered for this study included “community quarantine”, “cough etiquette”, “face mask” or facemask, “hand sanitizer”, handwashing or “hand washing” and “social distancing.” Spearman’s correlation was employed between the new daily COVID-19 cases, COVID-19 terms and the different preventive measures. The relative search volume for the coronavirus disease showed an increase up to the pronouncement of the country’s first case of COVID-19. An uptrend was also evident after the country’s first local transmission was confirmed. A strong positive correlation (rs = .788, p < .001) was observed between the new daily cases and search interests for COVID-19. The search interests for the different measures and the new daily cases were also positively correlated. Similarly, the search interests for the different measures and the COVID-19 terms were all positively correlated. The search interests for “face mask” or facemask, “hand sanitizer” and handwashing or “hand washing” were more correlated with the search interest for COVID-19 than with the number of new daily COVID-19 cases. The search interests for “cough etiquette”, “social distancing” and “community quarantine” were more correlated with the number of new daily COVID-19 cases than with the search interest for COVID-19. The public sought for additional details such as type, directions for proper use, and where to purchase as well as do-it-yourself alternatives for personal protective items. Personal protective or community measures were expected to be accompanied with definitions and guidelines as well as be available in translated versions. Google Trends could be a viable option to monitor and address the information needs of the public during a disease outbreak. Capturing and analyzing the search interests of the public could support the design and timely delivery of appropriate information essential to drive preventive measures during a disease outbreak.


2021 ◽  
Vol 5 (2) ◽  
pp. 137-139
Author(s):  
Jasmine Garg ◽  
Abigail Cline ◽  
Frederick Pereira

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.


2020 ◽  
Author(s):  
Martin Steppan

Background: Historic shifts in personality cannot easily be quantified, particularly before the existence of standardized personality tests. However, the historical corpus of a language can give insights into how writers of an era described their contemporaries. The archive of Google books can be used to quantify the relative frequency of personality describing adjectives in British and American English at least since 1800. The aim of the study is to describe trends in adjective use over time with respect to the Five Factor Model (FFM) and common personality disorders (PD’s). Methods: A list of 435 English personality adjectives was available for which FFM-factor loadings exist. Google ngram viewer was used to extract the usage of these adjectives over time. Applying the ’prototype’ approach these adjectives are also indicative of common personality disorders. Results: Over time personality adjectives in total have become more frequently used reaching a maximum in the 1970s for American English and the 2000’s for British English. Regardless of this trend, Openness, Conscientiousness and Neuroticism have risen over time in both corpora. In terms of personality disorder prototypes more obsessive-compulsive and narcissistic (particularly for American English) features of personality have become salient during the second half of the 20th Century. Discussion: These results suggest that there are secular trends in personality description over time. The question whether or not the collective of writers accurately describes their contemporaries cannot be answered unequivocally, however the results show trends, which personality characteristics mattered most to different generations.


2020 ◽  
Author(s):  
Behailu Terefe ◽  
Alessandro Rovetta ◽  
Asha K Rajan ◽  
Mengist Awoke

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


2020 ◽  
pp. 146144482095730
Author(s):  
Aram Sinnreich ◽  
Patricia Aufderheide ◽  
Maggie Clifford ◽  
Saif Shahin

This article maps patterns of interest in key terms associated with copyright and online culture in the US context. Using exploratory factor analysis of data from Google Trends, authors examined patterns in keyword searches between 2004 and 2019. The data show three distinct periods of interest. The first period consists of utopian, cause-driven search terms; the second marks a rise and eventual decline in creatively motivated, maker-fueled searches; and the third is characterized by rising utilitarian and institutional interest in accessible copyrighted material. These data show empirically that the public curiosity about alternatives to strict copyright have changed during the study period. Earlier, more idealistic movements contrast with later, more practical approaches.


2019 ◽  
Vol 133 (7) ◽  
pp. 610-614 ◽  
Author(s):  
M Faoury ◽  
T Upile ◽  
N Patel

AbstractObjectiveMany people seek health information from internet sources. Understanding this behaviour can help inform healthcare delivery. This study aimed to review Google Trends as a method for investigating internet-based information-seeking behaviour related to throat cancer in terms of quantity, content and thematic analysis.MethodData was collected using Google Trends. Normalised data was created using the search terms ‘throat cancer’, ‘cancer’, ‘HPV’, ‘laryngeal cancer’ and ‘head and neck cancer’. The search data was used to analyse the temporal and geographical interest pattern of these terms from 2004 to 2015.ResultsThree important peaks in searches for ‘throat cancer’ were identified. The first and greatest increase in interest was in September 2010, and there were also peaks in June 2013 and in October 2011.ConclusionInternet-search analysis can provide an insight into the information-seeking behaviour of the public. Mass media can hugely affect this information-seeking behaviour. Possessing tools to investigate and understand information-seeking behaviour may be used to improve healthcare delivery.


2021 ◽  
Vol 29 (Supplement_1) ◽  
pp. i49-i50
Author(s):  
K Hanna ◽  
C Parsons

Abstract Introduction Although dementia is a global public health concern, there remains a large variability in public awareness of the condition and associated medications (1,2). Google Trends, a publicly available online resource, acts as a useful tool in the analysis of internet search activity and population behaviour, with applications across field of healthcare. It has not been used to date to investigate information needs in relation to dementia and dementia medications. Aim To investigate public information needs regarding dementia and dementia medications, by evaluating data from Google Trends and Google. Methods Google Trends was queried using search terms relating to dementia and dementia medications, for the five-year period to January 2020 and the 12-month period to January 2020, for United Kingdom (UK) and Ireland domains. The “top related queries” for each search term were extracted and recorded, and thematic analysis undertaken. The top ten Google search results for each search term were recorded, and assigned a rank based on their page position, from 1 (first search result, highest rank) to 10 (lowest rank); count (the number of times the website domain appeared near the top of the search results) and average rank (i.e. ordinal position) were calculated for each domain. Google Trends was also queried using the term “dementia” for the UK domain, from 2004 to February 2020, and Loess Seasonal Trend Decomposition undertaken using R software to determine seasonality patterns in internet searching. Results Thematic analysis highlighted that the public sought information on dementia types, causes, signs and symptoms, diagnosis, prognosis, care and charitable organisations. Themes were broadly similar across time periods and UK/Ireland domains, with minor differences observed, including increased interest in research and development in 12-month UK data, and greater interest in charitable/government support in Ireland. The public sought information on acetylcholinesterase inhibitors and memantine, their indications, doses, formulations, side effects, antipsychotic use for agitation, information sources for dementia medications, and medications for co-morbidities. Analysis of search results, count and average rank revealed that the public were often directed to high-quality evidence-based websites for condition and medication-related search terms, though some less reliable information sources also featured. Seasonal variation was observed; a modest swing in interest was exhibited over the year, peaking in May (correlating with Dementia Action Week) and falling to its lowest level in August. Overall a steady increase in search interest for “dementia’” over time was observed. Conclusion The public sought basic information about these subjects, and were often, but not always, directed to high-quality evidence-based websites. Public awareness of, and interest in, dementia is increasing, and future public health campaigns should seek to build on the success of previous campaigns. The strength of this study lies in the use of Google Trends and Google to investigate information needs in relation to dementia and dementia medications; to the best of our knowledge, this is the first study to do so. Limitations must be considered; it can be difficult to draw absolute conclusions from Google Trends data alone, and results should be interpreted with caution. References 1. Cahill S, Pierce M, Werner P, Darley A, Bobersky A. A systematic review of the public’s knowledge and understanding of Alzheimer’s disease and dementia. Alzheimer’s Disease & Associated Disorders. 2015; 29(3):255–75. 2. Cations M, Radisic G, Crotty M, Laver KE. What does the general public understand about prevention and treatment of dementia? A systematic review of population-based surveys. PLoS One. 2018; 13:1–18.


Author(s):  
Matthew Hindman

The Internet was supposed to fragment audiences and make media monopolies impossible. Instead, behemoths like Google and Facebook now dominate the time we spend online—and grab all the profits from the attention economy. This book explains how this happened. It sheds light on the stunning rise of the digital giants and the online struggles of nearly everyone else—and reveals what small players can do to survive in a game that is rigged against them. The book shows how seemingly tiny advantages in attracting users can snowball over time. The Internet has not reduced the cost of reaching audiences—it has merely shifted who pays and how. Challenging some of the most enduring myths of digital life, the book explains why the Internet is not the postindustrial technology that has been sold to the public, how it has become mathematically impossible for grad students in a garage to beat Google, and why net neutrality alone is no guarantee of an open Internet. It also explains why the challenges for local digital news outlets and other small players are worse than they appear and demonstrates what it really takes to grow a digital audience and stay alive in today's online economy. The book shows why, even on the Internet, there is still no such thing as a free audience.


2009 ◽  
Vol 7 (2) ◽  
pp. 59-82
Author(s):  
Jillian Liesemeyer

This study examines the historical comparison between exclusionary quotas against Jewish students in American universities and the recent similarities with the controversy over Asian American enrollment. Through an analysis of historical discourse from within the administration, in the public realm, and from students, parallels are seen between the two incidents. With a more complete understanding of the historical trends in exclusionary practices in universities, policymakers can recognize the current controversy with Asian American enrollment and take on the problem at the source.


Communicology ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 74-88
Author(s):  
D.A. Kemenev

The article investigates the imageological aspect of mentor’s communicative competence in public service and reveals the communicative functions of mentor’s image in relation to the mentees. The author determines the communicative skills necessary for the mentor in all processes and stages of this personnel technology. Based on the analysis of scientific publications, the author discloses and justifies the role models of mentor’s behavior in relation to the mentees from the perspective of the mentor’s image, authority, and communicative competence. The author has conducted an expert survey among public servants, which allowed identify the main professional, business, moral, psychological, and integral qualities that are the most effectively developed by the public servant in the process of performing mentor’s functions. As a result, the author suggests a structural-logical model of the communicative competence of a mentor in the public service in the process of perceiving its communicative knowledge, skills, and competencies for achieving the effectiveness of mentoring.


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