Analysis Of Search Queries Research Articles

Terminology of medicines used to control seizure disorders: 2024 ILAE Recommendations and profile of real-world term use

Background. The International League Against Epilepsy (ILAE) has provided recommendations on the terminology of medicines for control of seizure disorders, which should be adapted into different languages.Objective: to evaluate the usage profile of terms describing the effects of medicines used in patients with epilepsy.Material and methods. The search query analysis systems Google Trends and Yandex Wordstat as well as PubMed/MEDLINE, Google Scholar and eLibrary databases were used to evaluate the general public and professional usage profile, respectively.The following terms in Russian and English were studied: “antiepileptic”, “antiepileptic drug”, “antiseizure”, “antiseizure drug”. In order to ascertain a prevailing opinion within professional and patient communities, a questionnaire survey was conducted on the public online resources of the non-profit partnership “The Association of Epileptologists and Patients” carried out via the cloud-based cross-platform social media as well as instant messaging service Telegram and the social media platform VK.Results. In the English-speaking internet segment, the term “antiepileptic” is used more than 5 times frequently than “antiseizure” by the general public. Conversely, in the Russian-language segment, the term “antiseizure” is almost 2.5 times more common. The term “antiepileptic” is more prevalent in scientific community in both segments. This finding aligns with the profile of terminology usage observed among epileptologists and epilepsy patients. The questionnaire survey results revealed that 56.42% of 179 respondents were in favor of the terms “antiepileptic drug”, “AED” and “antiepileptic therapy”, whereas as few as 17.32% of those endorsed the ILAE-proposed terminology.Conclusion. In light of the established practice of terminology use in both professional scientific community and among practicing epileptologists and epileptic patients, as well as the differences in the semantics of English- and Russian-language terms and the identified lack of precision in the ILAE definition of epilepsy, it can be concluded that for the Russian-speaking population, the terms “antiepileptic drug”, “AED” are more preferable rather than the terms “antiseizure medication”, “ASM”. Additionally, it is preferable to use the terms “convulsive ictus” and “epileptic ictus” due to negative connotation with term “seizure” in Russian. The terms “antiseizure” and “antiepileptic” should not be regarded as mutually exclusive in the context of treatment that has a direct impact on epilepsy course. Finally, it is necessary to further refine epilepsy definition and classification.

What financial topics do people search for? An analysis of search queries using text mining

Billions of web searches are recorded every day; however, little is known about the types of financial information that users search for. While many studies have investigated information exchanges in financial forums, this is the first study to identify the financial information needs of Internet users in Malaysia through an analysis of search queries. We identified financial topics and discovered subtopics of interest using text mining. We found that topics with high search volume were related to financial products and services, and very little was related to concepts and information that would increase financial knowledge. The results of this study can be used to develop more strategic online financial education content that not only meets users’ financial information needs but also increases their financial knowledge, especially when the financial knowledge of the global population has remained low over the years.

Access Log and Search Query Analysis for the Web Article on Driver's Licenses for People with Epilepsy

Access Log and Search Query Analysis for the Web Article on Driver's Licenses for People with Epilepsy

Holy springs and wells of the leningrad region

According to the results of the analysis of search queries an interest in information about holy springs has been revealed. An overview of 45 springs of the Leningrad region, attributed to the saints, is presented. Their map has been compiled (M: 1:200000). With the period of the population's self-isolation regime, Internet search queries for natural holy springs are also increasing. Statistical analysis of posts of thematic communities of the VKontakte social network by the tool "Khitalama" testifies to the social demand for information about holy springs references. These data serve as a promising source of information about behavioral geography. It is proposed to improve the network of specially guarding natural territories by including holy springs in it as objects of health, ecological, educational and pilgrimage tourism. On the example of the Leningrad Region, the foundations for the creation of a unified geoinformation system of holy springs are laid.

ЦИФРОВИЙ МАРКЕТИНГ ЯК ОСНОВА ПІДВИЩЕННЯ СТРАХОВОЇ КУЛЬТУРИ ТА ЗАБЕЗПЕЧЕННЯ ЕФЕКТИВНОСТІ УПРАВЛІННЯ ДІЯЛЬНІСТЮ СТРАХОВИКА

The article substantiates the necessity of implementing digital marketing in the insurance company's activities in the conditions of a competitive market environment. It was determined that for insurance companies that operate in modern conditions, it is necessary to take measures to improve the insurance culture, as well as to develop the division of digital insurance marketing. Digital marketing expands the insurer's ability to promote its services on the market more effectively, through the dissemination of advertising and PR activities dedicated not only to the activities of a specific company, but also to the advertising of the insurance business as a whole. It was determined that the use of digital tools in marketing contributes to the improvement of the insurance culture of the population, the development of insurance brands, the effectiveness of advertising of insurers and their services, and in general has a positive effect in achieving a number of goals set by the company. It has been established that by analyzing user requests in the network, you can find insights for expanding the line of insurance services of the company. The main rules for filling the site with the necessary content, the need for its optimization and development are considered. The need to create educational content for potential clients in social networks to popularize the insurance business and increase public trust in the insurance sector is substantiated. It was determined that digital advertising and the analysis of search queries on the network contribute to the search for new insights for the development of the insurance business. Digital advertising and analysis of search queries on the network helps to find new insights for the development of the insurance business. Digital marketing is a prerequisite for attracting new customers, as the younger generation is focused on their own time management, online access and a high degree of information. They need the speed of obtaining information, the comfort of providing the service, their independent study and analysis. An important aspect here is product promotion in social networks, where bloggers can provide triggers of trust in the insurance business.

Analysis of search queries as a tool for comparative assessment of the need for psychotherapeutic help

The subject of this study is the dependence of the frequency of search queries related to a certain medical and/or psychological problem on time and geographical location. In this study, two types of search queries were studied: "status" queries and "help" queries. To obtain data on the frequency characteristics of requests, the capabilities of the Googl Trends web application were used. Requests for "help" were investigated based on the results of an anonymous questionnaire of those who applied for psychological help to the Moscow Psychological Assistance Service for the Population. Seasonal variations of the query "depression" qualitatively repeat seasonal fluctuations, which are one of the main characteristics of this disease: spring-autumn peaks of circulation with summer-winter recessions. Attention is also drawn to the high severity of the autumn peak in the number of requests. At the same time, the graph of the frequency of requests for the word "alarm" does not have such a pronounced cyclicity and does not show an upward trend in the second half of the year. The analysis of the "help" requests found: (1) seasonal cyclicity, similar to the "depression" query — with spring and autumn peaks, and (2) a downward trend by the end of the year, unlike the "depression" query.     The analysis of search queries presented in this article is an important research tool, since the statistical characteristics obtained in such a study are independent of traditional statistics based on the analysis of patients' appeals to medical or psychological institutions. Thus, we found that seasonal variations of the query "depression" qualitatively repeat seasonal fluctuations in the frequency of occurrence of the disease: spring-autumn peaks alternate with summer-winter declines, which may indicate the reliability of evaluating search queries as a tool for analyzing depressive and anxiety–depressive states. Variations of "help" requests also have a similar cyclicity.

Отношение пользователей интернета к экономике в условиях пандемии: кросс-культурный анализ

Objective. Analysis of the psychological characteristics of the attitude of Russians to economic phenomena in the context of the coronavirus pandemic with an examination of its cross-cultural characteristics in comparison with countries that have a different from Russian ethnocultural history of the formation and development of economies (United States and Japan). Background. Russia is a leader in the international ranking of countries with the richest natural resources, but the standard of living of Russians for many years remains insufficiently high, and ac¬cording to the estimates of Russians themselves, negative dynamics of life is manifested in a noticeable number of socio-economic indicators. At the same time, scientific data obtained in recent years indicate the presence of direct relationships between economic and psychological factors of the development of society, the nature of which has not yet been fully disclosed. The research is exploratory in nature. Methodology. The concept of psychological relations, structural and content analysis of search queries, methods of continuous sampling and comparative analysis, method of grounded theory, expert assessment, predictive methods. Conclusions. User interest in the pandemic has varied according to the course of the pandemic in each of the three countries. At the same time, in the United States and Japan, interest in economic realities significantly exceeded interest in a pandemic, and in Russia, interest in a pandemic turned out to be incomparably higher. The initially high interest of the population in the pandemic began to decline sharply over time, but the popularity of economically oriented inquiries remains at a high level: a decrease in interest in theoretical problems and its strengthening in real economic situations have been revealed. The nature of thematic requests from users from the United States, Japan and Russia allows us to state that in the first two countries, inquiries on business problems have sharply increased, which is not typical of Russians, whose income is mainly determined by the state. At the same time, the benefits of an operational nature, presumably, can become concomitant causes of a possible strategic crisis both in the objective — economic and subjective — psychological terms.

Early warning of COVID-19 hotspots using human mobility and web search query data

COVID-19 has disrupted the global economy and well-being of people at an unprecedented scale and magnitude. To contain the disease, an effective early warning system that predicts the locations of outbreaks is of crucial importance. Studies have shown the effectiveness of using large-scale mobility data to monitor the impacts of non-pharmaceutical interventions (e.g., lockdowns) through population density analysis. However, predicting the locations of potential outbreak occurrence is difficult using mobility data alone. Meanwhile, web search queries have been shown to be good predictors of the disease spread. In this study, we utilize a unique dataset of human mobility trajectories (GPS traces) and web search queries with common user identifiers (> 450 K users), to predict COVID-19 hotspot locations beforehand. More specifically, web search query analysis is conducted to identify users with high risk of COVID-19 contraction, and social contact analysis was further performed on the mobility patterns of these users to quantify the risk of an outbreak. Our approach is empirically tested using data collected from users in Tokyo, Japan. We show that by integrating COVID-19 related web search query analytics with social contact networks, we are able to predict COVID-19 hotspot locations 1–2 weeks beforehand, compared to just using social contact indexes or web search data analysis. This study proposes a novel method that can be used in early warning systems for disease outbreak hotspots, which can assist government agencies to prepare effective strategies to prevent further disease spread.Human mobility data and web search query data linked with common IDs are used to predict COVID-19 outbreaks. High risk social contact index captures both the contact density and COVID-19 contraction risks of individuals. Real world data was collected from 200 K individual users in Tokyo during the COVID-19 pandemic. Experiments showed that the index can be used for microscopic outbreak early warning.

Mass Media as a Mirror of the COVID-19 Pandemic

The media plays an important role in disseminating facts and knowledge to the public at critical times, and the COVID-19 pandemic is a good example of such a period. This research is devoted to performing a comparative analysis of the representation of topics connected with the pandemic in the internet media of Kazakhstan and the Russian Federation. The main goal of the research is to propose a method that would make it possible to analyze the correlation between mass media dynamic indicators and the World Health Organization COVID-19 data. In order to solve the task, three approaches related to the representation of mass media dynamics in numerical form—automatically obtained topics, average sentiment, and dynamic indicators—were proposed and applied according to a manually selected list of search queries. The results of the analysis indicate similarities and differences in the ways in which the epidemiological situation is reflected in publications in Russia and in Kazakhstan. In particular, the publication activity in both countries correlates with the absolute indicators, such as the daily number of new infections, and the daily number of deaths. However, mass media tend to ignore the positive rate of confirmed cases and the virus reproduction rate. If we consider strictness of quarantine measures, mass media in Russia show a rather high correlation, while in Kazakhstan, the correlation is much lower. Analysis of search queries revealed that in Kazakhstan the problem of fake news and disinformation is more acute during periods of deterioration of the epidemiological situation, when the level of crime and poverty increase. The novelty of this work is the proposal and implementation of a method that allows the performing of a comparative analysis of objective COVID-19 statistics and several mass media indicators. In addition, it is the first time that such a comparative analysis, between different countries, has been performed on a corpus in a language other than English.

Google Trends for Pain Search Terms in the World's Most Populated Regions Before and After the First Recorded COVID-19 Case: Infodemiological Study.

BackgroundWeb-based analysis of search queries has become a very useful method in various academic fields for understanding timely and regional differences in the public interest in certain terms and concepts. Particularly in health and medical research, Google Trends has been increasingly used over the last decade.ObjectiveThis study aimed to assess the search activity of pain-related parameters on Google Trends from among the most populated regions worldwide over a 3-year period from before the report of the first confirmed COVID-19 cases in these regions (January 2018) until December 2020.MethodsSearch terms from the following regions were used for the analysis: India, China, Europe, the United States, Brazil, Pakistan, and Indonesia. In total, 24 expressions of pain location were assessed. Search terms were extracted using the local language of the respective country. Python scripts were used for data mining. All statistical calculations were performed through exploratory data analysis and nonparametric Mann–Whitney U tests.ResultsAlthough the overall search activity for pain-related terms increased, apart from pain entities such as headache, chest pain, and sore throat, we observed discordant search activity. Among the most populous regions, pain-related search parameters for shoulder, abdominal, and chest pain, headache, and toothache differed significantly before and after the first officially confirmed COVID-19 cases (for all, P<.001). In addition, we observed a heterogenous, marked increase or reduction in pain-related search parameters among the most populated regions.ConclusionsAs internet searches are a surrogate for public interest, we assume that our data are indicative of an increased incidence of pain after the onset of the COVID-19 pandemic. However, as these increased incidences vary across geographical and anatomical locations, our findings could potentially facilitate the development of specific strategies to support the most affected groups.

International Analysis of Search Queries for Melanoma During the COVID-19 Pandemic: Affirmation of Melanoma Public Education Campaigns.

*Department of Dermatology, University Hospitals Cleveland Medical Center, Cleveland, Ohio †Department of Dermatology, Case Western Reserve University, Cleveland, Ohio Megan Ha is a recipient of the Research Scholar Award funded by the Brian Werbel Memorial Fund. The authors have indicated no significant interest with commercial supporters.

Analysis of search query statistics as a tool for monitoring the ecological attitudes of the region's population

The article reveals the main approaches to understanding the essence of ecological culture, as well as its basic components: cognitive, value and activity. The article focuses on the fact that pro-ecological behaviorur is a leading indicator of ecological culture. It is noted that a society can have a sufficiently high level of environmental knowledge and correct values, but in the absence of pro-environmental behaviorur, we cannot speak about the proper level of environmental culture. Attention is focused on the difficulties of empirical study of the real state of the components of ecological culture. The definition of the term "digital footprint" is given. The possibility and expediency of studying the ecological attitudes of the population as the most mobile element of ecological culture using the analysis of statistics of search queries is shown. The purpose of the study is to identify the ecological attitudes of the inhabitants of the Sverdlovsk region and approbation of the methodology for analyzing statistics of search queries of the population on environmental topics, recorded by the Yandex search engine. The study was carried out within the framework of a quantitative approach. To collect empirical information, a continuous collection of search queries from the population of the Sverdlovsk region was carried out from 2010 to 2019 inclusive. The technique of collection, processing and analysis of search queries of the population is described. The analysis made it possible to identify a number of significant pro-ecological attitudes of the population, for example, for a significant part of the population of the Sverdlovsk region it is important to know and apply technologies for waste disposal, to know the state of air and water in the place of residence, as well as technologies for checking and cleaning them. It was found that children and adolescents are more interested in information about various kinds of environmental pollution, and young people and people of the middle age group are more interested in means and technologies for waste disposal and cleaning of natural resources. In general, the results of the study showed that search query data can serve as a source of up-to-date information on the ecological attitudes of the region's population. The advantages and disadvantages of the analysis of search queries as an empirical research method are shown.

РЕГИОНАЛЬНЫЕ ОСОБЕННОСТИ ВОЗДЕЙСТВИЯ COVID-19 НА ТУРИСТСКО-РЕКРЕАЦИОННОЕ ПРОСТРАНСТВО РОССИИ

The article presents the results of a study into the impact of the COVID-19 pandemic on tourist and recreational space of Russia. Restrictions imposed in order to reduce the incidence of the disease have affected all areas of human activity around the world. The aim of the study was to identify regional peculiarities of COVID-19 impact on the components of Russia’s tourist and recreational space. The tourist-recreational space is studied in the process of its territorialization, which allowed us to perceive it in the form of territorial tourist-recreational systems. Considering that many of the processes caused by COVID-19 occur within the boundaries of specific regions, the subject of the study were regional tourist-recreational systems. A component-by-component assessment of COVID-19 impact was applied at the level of potential consumers (tourists), the tourist and recreational complex, and the level of the regional organization and management system. To assess changes in the structure and geography of tourist demand, we applied search query analysis. The impact of COVID-19 on enterprises of the tourist and recreational complex of Russian regions was assessed with the use of statistical analysis methods as applied to the indicators characterizing tourist flow, operation of collective accommodation facilities and tourist firms and provision of tourist services for the population. Using content analysis of news web-portals and having studied the websites of executive authorities, we have analyzed the organization and management component of the regional tourist and recreational system. The results obtained indicate changes in the structure and geography of tourist demand and in the criteria for selecting a destination. We have identified the regions where the tourist and recreational complex was practically unaffected by the adopted restrictions and the most affected regions. As a result of the study, a model of COVID-19 impact on the components of the tourist and recreational system has been developed. The study can be used by executive authorities to make alterations to the documents concerning territorial planning and management and to improve the effectiveness of the support measures implemented in the post-pandemic period.

Entrepreneurial universities: literature review

The article is devoted to the generalization and development of the terminology that is used to describe the essence and content of the concept “entrepreneurial university”. The results of the literature review allow us to present the concept “entrepreneurial university” in the form of a system of interrelated economic terms. Based on the analysis of search queries, using the databases of Scopus and Google Scholar, the publications that reveal the content of the concept “entrepreneurial university” were selected; the features and key characteristics of the definition of this concept by various authors were defined; the authors’ interpretation has been provided. The analysis of research in the field of university entrepreneurship, which currently covers 314 articles published in various scientific journals, allows us to inductively describe the dynamic process of university entrepreneurship based on the literature synthesis. The presented definition of “entrepreneurial university” concept is based on an analysis of the evolution of ideas about the subject of the entrepreneurship theory and modern scientific management approaches and allows establishing the semantic network that reflects the inner content of the concept “entrepreneurial university”.

DNA barcoding and phytochemical profiling of wild plant "Lal lat tan" from Imugan, Sta Fe, Nueva Vizcaya, Philippines

The Philippines hosts a wide-ranging diversity of plant species with pharmacological potential. Species identification on the basis of DNA sequences has been done for some time in plants and used to detect variations among the sequences specifying genetic divergence as a result of molecular evolution during the course of time. In this study, molecular approach as well as phylogentic analysis were conducted to identify the wild plant "Lal lat tan" collected from Imugan, Sta Fe, Nueva Vizcaya. In addition, thin layer chromatography was conducted to determine the bioactive compounds present in the wild plant. For molecular approach, the genomic DNA was extracted from the young leaves using CTAB and amplified using the nrDNA ITS marker. The PCR amplified product was sequenced and subjected for search query analysis using BLAST and was identified as Dendrocnide meyeniana. Using chloroform+methanol as solvent system, the result revealed the presence of saponins, phenols, tannins, flavonoids, anthrones, anthraquinones, terpenes and steroids which are considered as active medicinal phytochemical constituents. Lal lat tan is a wild plant and was known for having stinger leaf that lead to severe itchiness and swelling of eyes and face when touched.

Can Big Data Predict the Rise of Novel Drug Abuse?

Existing novel psychoactive drug (NPD) data are woefully inadequate. This gap is especially critical because NPDs are being developed and introduced at alarming rates and pose significant challenges to law enforcement and health care workers. Scholars in numerous fields have used Internet search query analysis to assess and predict health-related outcomes. Here, we explore the utility of these data for predicting NPD and established drug abuse. Google Trends searches for five novel and two established drugs were correlated with data pulled from the Monitoring the Future (MTF). Google Trends data proved highly correlated with data from MTF for all drugs analyzed. Despite limitations, Google Trends appears to be a promising compliment to existing data, providing real time data that may allow us to predict drug abuse trends and respond more quickly.

Monitoring Pertussis Infections Using Internet Search Queries

This study aims to assess the utility of internet search query analysis in pertussis surveillance. This study uses an empirical time series model based on internet search metrics to detect the pertussis incidence in Australia. Our research demonstrates a clear seasonal pattern of both pertussis infections and Google Trends (GT) with specific search terms in time series seasonal decomposition analysis. The cross-correlation function showed significant correlations between GT and pertussis incidences in Australia and each state at the lag of 0 and 1 months, with the variation of correlations between 0.17 and 0.76 (p < 0.05). A multivariate seasonal autoregressive integrated moving average (SARIMA) model was developed to track pertussis epidemics pattern using GT data. Reflected values for this model were generally consistent with the observed values. The inclusion of GT metrics improved detective performance of the model (β = 0.058, p < 0.001). The validation analysis indicated that the overall agreement was 81% (sensitivity: 77% and specificity: 83%). This study demonstrates the feasibility of using internet search metrics for the detection of pertussis epidemics in real-time, which can be considered as a pre-requisite for constructing early warning systems for pertussis surveillance using internet search metrics.

Internet search query analysis can be used to demonstrate the rapidly increasing public awareness of palliative care in the USA

BackgroundA lack of public awareness of palliative care (PC) has been identified as one of the main barriers to appropriate PC access. Internet search query analysis is a novel methodology,...

Поисковые запросы в Интернете как средство анализа социального поведения россиян в условиях социально-экономического кризиса (на примере Приволжского федерального округа)

The article deals with the main trends of Internet users’ behavior in Volga Federal District in the conditions of the social and economic crisis which is deemed as a positive circumstance enhancing the development of social medium in a separate region. The Wordstat Yandex online service was used for the analysis of dynamics of use of keywords reflecting factors of the human capital buildup during the period from 2014 to 2016. From the general scope of search queries, data on the certain region - Volga Federal District - were selected. On the basis of the obtained data on how the population perceives social and economic changes in this region, four crisis periods were identified. It has been established that the conditions of social risks give rise to the creation of the positive human capital engaging internal personal resources to overcome difficult external conditions. On the basis of the analysis of search queries, dependence between users’ online behavior and development of a crisis situation in the region was established. In particular, there was an increase in the quantity of search queries linked with education: for acquisition of a new profession, professional retraining, English courses, online courses, further qualification courses, remote higher education; in the sphere of health care - healthy food habits, partial quitting bad habits, dealing with nervous symptoms; in the sphere of economic activity: search for freelance jobs, search for grants for business activity, job change, job search for pensioners and inexperienced candidates. The obtained data can be considered for the development of recommendations and socially important programs for Crisis Management methods for the working-age population.

Lessons learned from evaluation of the use of the National electronic Library of Infection

The National electronic Library of Infection (NeLI: http://www.neli.org.uk) in the UK is a freely available portal to key evidence and guidelines in the infectious disease field. This paper discusses 5 years of evaluation of the pilot library and how this evaluation informed design of the new library website. The importance of combining qualitative and quantitative evaluation is highlighted and the results of web access logs analysis, free text search query analysis and an online user survey are compared. The paper concludes with a discussion of lessons learned for future development and evaluation of this Internet digital library.