scholarly journals خرائط الكلمات المفتاحية في بيئة الإنترنت لأسئلة البحث الأكثر شيوعاً حول " فيروس كورونا"

Author(s):  
طلال ناظم الزهيري

Keywords maps are common search phrases, and one of the most important indicators of the importance of topics and the level of attracting them to the interests of users at the global level. Today, after the outbreak of Coronavirus, it was necessary to know the global interest in this virus, and what are the phrases and keyword maps used by the Arab users in the search engines in the stage of collecting information about this disease, so, this study aims to identify the nature of inquiries about the virus used by internet users and classify them according to the considerations of number of iterations, as well as mapping the keywords for common search terms about Coronavirus in Arabic and trying to use them in improving access to appropriate information. The study uses [Google Trends] to analyze data and access search results for the selected search term. The study reached a set of conclusions, the most important of which was: The search term (Coronavirus) is the most preferred search term in the search for information about this disease for the Arab users. In addition, the study recommends that the websites that interested in the health situation should take the advantages of the keywords maps that the study reached to include them as descriptions of awareness topics and news about the virus to ensure the highest views.

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.


Lupus ◽  
2017 ◽  
Vol 26 (8) ◽  
pp. 886-889 ◽  
Author(s):  
M Radin ◽  
S Sciascia

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.


2020 ◽  
pp. 1746-1770
Author(s):  
Venkatesh Iyengar ◽  
S. Vijayakumar Bharathi

This article describes how organizations embrace various supply chain strategies aiming at effective and efficient performance outcomes for gaining competitive advantage. The authors conducted an extensive search for academic publications on lean, agile, and leagile (hybrid) supply chains in context with automobile industries, published since year 1990 in reliable repositories such as Google Scholar, Scopus and ResearchGate. None of these papers used bibliometric analysis on the topic. This paper systematically maps, publications on lean, agile, and legal strategies in automobile industry published during 1990–2017. A five-step process is followed, namely (i) defining appropriate search terms, (ii) initial search results, (iii) refinement of search results, (iv) initial data, statistics, and (v) data analysis; adopted for inclusion of relevant documents for publication and citation analysis. Selected documents include primary search term ‘automobile' along with associated secondary terms such as ‘lean', ‘agile', ‘lean and agile', and ‘leagile' as part of the title, abstract, or keywords. The analysis finds several documents on lean or agile strategies, but only one document exists on ‘leagile' paradigm. Maximum articles are contributed on engineering subjects followed by business, management and accounting and computer sciences. Large publication and high citation counts were observed for lean from United States and Chinese authors, whereas Indian authors contributed in agile studies. This article identifies areas of current research interests discussing crucial contributions by several authors' and provides potential directions for further research investigations in the field.


2019 ◽  
Vol 40 (11) ◽  
pp. 1253-1262 ◽  
Author(s):  
Jonathan D Tijerina ◽  
Shane D Morrison ◽  
Ian T Nolan ◽  
Matthew J Parham ◽  
Rahim Nazerali

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 &lt; 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.


Author(s):  
Venkatesh Iyengar ◽  
S. Vijayakumar Bharathi

This article describes how organizations embrace various supply chain strategies aiming at effective and efficient performance outcomes for gaining competitive advantage. The authors conducted an extensive search for academic publications on lean, agile, and leagile (hybrid) supply chains in context with automobile industries, published since year 1990 in reliable repositories such as Google Scholar, Scopus and ResearchGate. None of these papers used bibliometric analysis on the topic. This paper systematically maps, publications on lean, agile, and legal strategies in automobile industry published during 1990–2017. A five-step process is followed, namely (i) defining appropriate search terms, (ii) initial search results, (iii) refinement of search results, (iv) initial data, statistics, and (v) data analysis; adopted for inclusion of relevant documents for publication and citation analysis. Selected documents include primary search term ‘automobile' along with associated secondary terms such as ‘lean', ‘agile', ‘lean and agile', and ‘leagile' as part of the title, abstract, or keywords. The analysis finds several documents on lean or agile strategies, but only one document exists on ‘leagile' paradigm. Maximum articles are contributed on engineering subjects followed by business, management and accounting and computer sciences. Large publication and high citation counts were observed for lean from United States and Chinese authors, whereas Indian authors contributed in agile studies. This article identifies areas of current research interests discussing crucial contributions by several authors' and provides potential directions for further research investigations in the field.


2012 ◽  
Vol 12 (5) ◽  
Author(s):  
Yusof Ismail, Suhaimi Mhd Sarif

Internet is becoming a popular tool among career-oriented people. Among professionals, some of the engineers use the Internet in their work to search for information. The study is carried out to ascertain comparative availability of the materials on ethics and engineers in four top Internet search engines (ISE’s). Four ISE’s were accessed on 2 February 2011, from 2.21 p.m. to 4.21 p.m. [Gombak Time] using a combination of selected search terms: education, engineer, engineering, ethics, Islam, professional, research, and training. The search results or hits produced by the selected ISE’s were analyzed using a specially created instrument/format. The study computes relative ratios of the coverage of selected terms in relation to the number of hits for selected terms within each ISE. The ratios are obtained by dividing the hits for a search term or combination into the total hits within each ISE. The results of the analysis reveal that the ISE’s contain the highest frequency of materials on engineers and ethics. The findings suggest to engineering students and practitioners of varying capabilities among the ISE’s used in the study to learn about engineering ethics. Limitations of the study and suggestions for further research are included in the study.   ABSTRAK: Internet menjadi alat yang popular di kalangan staf yang berorientasikan kerjaya. Di kalangan profesional, para jurutera menggunakan Internet untuk mencari maklumat dalam kerja-kerja mereka. Kajian ini dijalankan untuk menentukan ketersediaan perbandingan bahan-bahan mengenai etika dan jurutera dalam empat enjin carian Internet (ISE) teratas. Beberapa ISE dicapai pada 2 Februari 2011, di antara 2.21 petang sehingga 4.21 petang [waktu Gombak] menggunakan gabungan terma carian yang dipilih: pendidikan, jurutera, kejuruteraan, etika, Islam, profesional, penyelidikan, dan latihan. Keputusan carian atau ‘hits’ yang dihasilkan oleh ISE terpilih telah dianalisis dengan menggunakan instrumen/format yang direka khas. Kajian itu mengira nisbah relatif liputan terma-terma terpilih tersebut dengan jumlah ‘hits’ bagi kesemua terma bagi setiap ISE. Nisbah diperolehi dengan membahagikan ‘hits’ bagi istilah carian atau gabungan istilah dengan jumlah ‘hits’ dalam setiap ISE. Keputusan analisis menunjukkan ISE yang mengandungi kekerapan tertinggi bahan-bahan berkaitan dengan jurutera dan etika. Hasil kajian menyarankan kepada pelajar-pelajar dan pengamal kejuruteraan bahawa wujud keupayaan yang berbeza-beza di kalangan ISE berhubung dengan potensi bahan-bahan berkaitan etika kejuruteraan. Batasan kajian dan cadangan untuk penyelidikan selanjutnya dimasukkan dalam kajian ini.  Keywords-engineering ethics; internet search engines; literature; training and development


Author(s):  
Dengya Zhu ◽  
Heinz Dreher

Short-term queries preferred by most users often result in a list of Web search results with low precision from a user perspective. The purpose of this research is to improve the relevance of Web search results via search-term disambiguation and ontological filtering of search results based on socially constructed search concepts. A Special Search Browser (SSB) is developed where semantic characteristics of the socially constructed knowledge repository are extracted to form a category-document set. kNN is employed with the extracted category-documents as training data to classify Web results. Users’ selected categories are employed to present the search results. Experimental results based on five experts’ judgments over 250 hits from Yahoo! API demonstrate that utilizing the socially constructed search concepts to categorize and filter search results can improve precision by 23.5%, from Yahoo’s 41.7% to 65.2% of SSB based on the results of five selected ambiguous search-terms.


Author(s):  
Mikołaj Kamiński ◽  
Igor Łoniewski ◽  
Wojciech Marlicz

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.


2019 ◽  
Author(s):  
Julian Unkel

Search engines have established themselves as the central means of searching for information online. This book examines which criteria are important for the selection of search results when Internet users search for information using search engines. For this purpose, the book systematises and combines both the search process and relevant factors which influence selection decisions in a model that describes the effect of various influences on the individual steps in the search process. In three preliminary studies and one main study, each following an experimental design and relying on the automated recording of search behaviour, it empirically tests selected steps in the model. The results of this show that ranking acts as the dominant influence in the selection of search results. However, source characteristics and individual attributions (e.g. the perceived credibility of search results) also have a distinct influence on the search process.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Doris van der Smissen ◽  
Judith A. C. Rietjens ◽  
Lisette van Gemert-Pijnen ◽  
Sandra van Dulmen ◽  
Agnes van der Heide ◽  
...  

Abstract Background Advance care planning (ACP) enables persons to identify preferences for future treatment and care, and to discuss, record and review these preferences. However, the uptake of ACP among patients with chronic diseases is relatively low. Web-based ACP programs can support patients and their relatives in ACP. However, information needs of patients and their relatives for ACP are unknown. The aim of this study is to explore information needs of patients with chronic disease and their relatives for web-based ACP. Methods We conducted semi-structured interviews with patients with chronic diseases and relatives at their home or at the study center. In three cases, the patient and relative were paired since they preferred to be interviewed together. We asked about information they would search for when to start with ACP, where they would search for information, what search terms they would use on the Internet, and what content and information they would consider important on an ACP website. The interviewer asked participants to clarify their responses during the interview. We used thematic analysis to analyze the interviewees’ responses. Results We interviewed nine patients with different chronic diseases including amyotrophic lateral sclerosis (ALS), multiple sclerosis (MS), chronic obstructive pulmonary disease (COPD) and kidney diseases, and seven relatives, namely partners or (adult) children. The interviewees were aged 24 to 80 years, nine were female and seven were male. Both patients with a chronic disease and relatives mentioned comparable information needs. Many interviewees indicated they would use the Internet to search for information about ACP. Mentioned search terms were “advance care planning”, “treatment plan”, “disease trajectory” and names of patient associations. Information needs concerned their disease trajectory and quality of life, medical treatment decisions, practical support in arranging care, the concept of ACP and guidance in ACP, communication of treatment and care preferences, peer support of others with chronic diseases, and information for relatives. Many appreciated encouragement of their healthcare providers to take a pro-active role in ACP. Conclusions We conclude that information needs for ACP included guidance in ACP, support in making decisions about medical treatment, and practical support in arranging care. We recommend adapting web-based ACP information to the information needs of patients and their relatives to increase its findability, uptake and usefulness.


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