Identifying Relevant Disease Characteristics Regarding Psoriasis in Germany: A Retrospective Web Search Data Analysis (Preprint)

2021 ◽  
Author(s):  
Fabian Wallnöfer ◽  
Mert Erbas ◽  
Linda Tizek ◽  
Barbara Schuster ◽  
Tilo Biedermann ◽  
...  

BACKGROUND Little is known about what people with psoriasis are interested in when they search the web. As the Internet is becoming increasingly relevant as a source of information for health-related questions, the monitoring of online search behavior allows the assessment of interest in a disease on a more representative level by including people outside of medical settings. OBJECTIVE This study aims to reveal relevant aspects regarding psoriasis for people consulting the web. METHODS Google Ads Keyword Planner was used to select and evaluate relevant keywords for ‘psoriasis’ in the study period from September 2016 to August 2020. All keywords were qualitatively reviewed and descriptively analyzed in eleven categories. The study considered the search volume for all of Germany with German as the language preference. One-way analysis of variance and Pearson’s correlation coefficient were used to assess differences in the German states. RESULTS Among 11,170,740 German language Google searches on the topic of psoriasis, the keyword with the overall highest search volume was the German lay term for psoriasis “Schuppenflechte” (n=3,634,000; 32.5%), followed by “psoriasis” (n=2,675,600; 24.0%) and “psoriasis scalp” (n=369,200; 3.3%). In the general category, the most commonly searched for disease aspect related to the possible contagiousness of psoriasis (n=122,040). “Head” (51.1%), followed by “nails” (15.9%), “hands” (8.8%), “feet” (7.8%), and “genital/anal area” (6.1%), was the most frequently searched for localization. Pustular forms of psoriasis were overrepresented in the search volume relative to their frequency in the literature. Almost half of the search terms for therapy were represented by keywords related to alternative care and phytotherapy. Less than one percent of queries on therapy dealt with biologics. Significant differences between the federal states could be established for search volumes on treatment options (P<.001). CONCLUSIONS Queries on pustular forms and difficult-to-treat areas gained high online interest, which suggests a subjectively higher burden of disease or underdiagnosis. Concerning therapy, people most notably consulted the web for alternative therapy options instead of guideline-conform therapies. This suggests possible therapy dissatisfaction, lack of patient information, or lack of access to guideline-conform therapy options. The possible infectiousness of psoriasis seems to remain an issue in the general population and should be continously addressed to reduce stigmatization.

2021 ◽  
Vol 112 (1) ◽  
pp. 138-157
Author(s):  
Carlo Meghini ◽  
Mirko Tavoni ◽  
Michelangelo Zaccarello

Abstract With digital repositories and databases available since the 1990s, Dante scholarship has always been at the forefront of the digital humanities and the digitization of medieval texts and manuscripts. However, the amount of information available about such aspects is imposing, and its location subject to the extreme dispersion of traditional scholarly publications: commentaries first but also academic journals, miscellanies, and so forth. Rather than being based on traditional word searches, a true advancement of knowledge needs to overcome the rigidity of text-based queries (and in-line markup embedded in text). Such paramount evolution is now made possible by the Semantic Web, an extension of the current web by description standards that help machines to understand and connect the information already available on the web. To achieve this, the latter is mapped using formal description and classification patterns, called ontologies. Ontologies are a key factor in managing meaningful search/data extraction, publishing relevant results on the web, search existing web resources, and offering answers to more sophisticated queries. Due to its vastness and complexity, Dante scholarship has calls for an ontology-based mapping, and specific tools have been designed to express the most difficult and articulate aspects of Dante’s literary production, such as its use of biblical, classical, and medieval sources. This paper aims to introduce the aims and scope of a new digital library of Dante commentaries, built according to the aforementioned standards and aiming to refine and extend the ontologies developed for Dante’s minor works to the more complex world of the Commedia.


10.2196/10919 ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. e10919 ◽  
Author(s):  
Alberto Jimenez ◽  
Miguel-Angel Santed-Germán ◽  
Victoria Ramos

Background Different studies have suggested that web search data are useful in forecasting several phenomena from the field of economics to epidemiology or health issues. Objective This study aimed to (1) evaluate the correlation between suicide rates released by the Spanish National Statistics Institute (INE) and internet search trends in Spain reported by Google Trends (GT) for 57 suicide-related terms representing major known risks of suicide and an analysis of these results using a linear regression model and (2) study the differential association between male and female suicide rates published by the INE and internet searches of these 57 terms. Methods The study period was from 2004 to 2013. In this study, suicide data were collected from (1) Spain’s INE and (2) local internet search data from GT, both from January 2004 to December 2013. We investigated and validated 57 suicide-related terms already tested in scientific studies before 2015 that would be the best predictors of new suicide cases. We then evaluated the nowcasting effects of a GT search through a cross-correlation analysis and by linear regression of the suicide incidence data with the GT data. Results Suicide rates in Spain in the study period were positively associated (r<-0.2) for the general population with the search volume for 7 terms and negatively for 1 from the 57 terms used in previous studies. Suicide rates for men were found to be significantly different than those of women. The search term, “allergy,” demonstrated a lead effect for new suicide cases (r=0.513; P=.001). The next significant correlating terms for those 57 studied were “antidepressant,” “alcohol abstinence,” “relationship breakup” (r=0.295, P=.001; r=0.295, P=.001; and r=0.268, P=.002, respectively). Significantly different results were obtained for men and women. Search terms that correlate with suicide rates of women are consistent with previous studies, showing that the incidence of depression is higher in women than in men, and showing different gender searching patterns. Conclusions A better understanding of internet search behavior of both men and women in relation to suicide and related topics may help design effective suicide prevention programs based on information provided by search robots and other big data sources.


Author(s):  
Anna Caroline Pilz ◽  
Linda Tizek ◽  
Melvin Rüth ◽  
Peter Seiringer ◽  
Tilo Biedermann ◽  
...  

Incidence of sexually transmitted infections (STIs) such as chlamydia, gonorrhea, and syphilis has increased in recent years in the US and in European countries. In order to implement effective educational programs, the interests of target populations have to be identified. Since the internet is an important source of information-gathering on health issues, this study investigates web search data in large German cities related to STIs. Google Ads Keyword Planner was used to identify STI-related terms and their search volume in eleven German cities from June 2015 to May 2019. The data obtained were analyzed descriptively with regard to total search volumes, search volumes of specific thematic areas, and search volumes per 100,000 inhabitants. Overall, 741 terms with a total search volume of 5,142,560 queries were identified, with more than 70% of all search queries including a specific disease and “chlamydia” being the overall most often searched term (n = 1,196,160). Time courses of search behavior displayed a continuous interest in STIs with synchronal and national rather than regional peaks. Volumes of search queries lacked periodic patterns. Based on the findings of this study, a more open public discussion about STIs with linkage to increased media coverage and clarification of responsibilities among all STI-treating disciplines concerning management of STIs seem advisable.


Author(s):  
Amanda Spink ◽  
Robert M. Wolfe ◽  
Bernard J. Jansen

This chapter discusses issues related to semantics and the medical Web. Much health information is available on the Web, but not always effectively found by users. Studies examining various aspects of medical Web searching show that searchers’ do not always use correct medical terminology. This chapter reports results from a longitudinal study of medical/health related searches using commercial Web search engine query data from 1997 to 2004.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Kim Asseo ◽  
Fabrizio Fierro ◽  
Yuli Slavutsky ◽  
Johannes Frasnelli ◽  
Masha Y. Niv

AbstractWeb search tools are widely used by the general public to obtain health-related information, and analysis of search data is often suggested for public health monitoring. We analyzed popularity of searches related to smell loss and taste loss, recently listed as symptoms of COVID-19. Searches on sight loss and hearing loss, which are not considered as COVID-19 symptoms, were used as control. Google Trends results per region in Italy or state in the US were compared to COVID-19 incidence in the corresponding geographical areas. The COVID-19 incidence did not correlate with searches for non-symptoms, but in some weeks had high correlation with taste and smell loss searches, which also correlated with each other. Correlation of the sensory symptoms with new COVID-19 cases for each country as a whole was high at some time points, but decreased (Italy) or dramatically fluctuated over time (US). Smell loss searches correlated with the incidence of media reports in the US. Our results show that popularity of symptom searches is not reliable for pandemic monitoring. Awareness of this limitation is important during the COVID-19 pandemic, which continues to spread and to exhibit new clinical manifestations, and for potential future health threats.


2018 ◽  
Author(s):  
Alberto Jimenez ◽  
Miguel-Angel Santed-Germán ◽  
Victoria Ramos

BACKGROUND Different studies have suggested that web search data are useful in forecasting several phenomena from the field of economics to epidemiology or health issues. OBJECTIVE This study aimed to (1) evaluate the correlation between suicide rates released by the Spanish National Statistics Institute (INE) and internet search trends in Spain reported by Google Trends (GT) for 57 suicide-related terms representing major known risks of suicide and an analysis of these results using a linear regression model and (2) study the differential association between male and female suicide rates published by the INE and internet searches of these 57 terms. METHODS The study period was from 2004 to 2013. In this study, suicide data were collected from (1) Spain’s INE and (2) local internet search data from GT, both from January 2004 to December 2013. We investigated and validated 57 suicide-related terms already tested in scientific studies before 2015 that would be the best predictors of new suicide cases. We then evaluated the <i>nowcasting</i> effects of a GT search through a cross-correlation analysis and by linear regression of the suicide incidence data with the GT data. RESULTS Suicide rates in Spain in the study period were positively associated (<i>r</i>&lt;-0.2) for the general population with the search volume for 7 terms and negatively for 1 from the 57 terms used in previous studies. Suicide rates for men were found to be significantly different than those of women. The search term, “allergy,” demonstrated a lead effect for new suicide cases (<i>r</i>=0.513; <i>P</i>=.001). The next significant correlating terms for those 57 studied were “antidepressant,” “alcohol abstinence,” “relationship breakup” (<i>r</i>=0.295, <i>P</i>=.001; <i>r</i>=0.295, <i>P</i>=.001; and <i>r</i>=0.268, <i>P</i>=.002, respectively). Significantly different results were obtained for men and women. Search terms that correlate with suicide rates of women are consistent with previous studies, showing that the incidence of depression is higher in women than in men, and showing different gender searching patterns. CONCLUSIONS A better understanding of internet search behavior of both men and women in relation to suicide and related topics may help design effective suicide prevention programs based on information provided by search robots and other big data sources.


2021 ◽  
Author(s):  
Jia Liu ◽  
Olivier Toubia ◽  
Shawndra Hill

We develop a flexible content-based search model that links the content preferences of search engine users to query search volume and click-through rates, while allowing content preferences to vary systematically based on the context of a search. Content preferences are defined over latent topics that describe the content of search queries and search result descriptions. Compared with existing applications of topic modeling in marketing and recommendation systems, our proposed approach can simultaneously capture multiple types of information and investigate multiple aspects of behavioral dynamics in a single framework that enables interpretable results for business decision making. To facilitate efficient and scalable inference, we develop a full Bayesian variational inference algorithm. We evaluate our modeling framework using real-world search data for TV shows from the Bing search engine. We illustrate how our model can quantify the content preferences associated with each query and how these preferences vary systematically based on whether the query is observed before, during, or after a TV show is aired. We also show that our model can help the search engine improve its ranking of search results as well as address the cold-start problem for new page links. This paper was accepted by Hamid Nazerzadeh, big data analytics.


2017 ◽  
pp. 030-050
Author(s):  
J.V. Rogushina ◽  

Problems associated with the improve ment of information retrieval for open environment are considered and the need for it’s semantization is grounded. Thecurrent state and prospects of development of semantic search engines that are focused on the Web information resources processing are analysed, the criteria for the classification of such systems are reviewed. In this analysis the significant attention is paid to the semantic search use of ontologies that contain knowledge about the subject area and the search users. The sources of ontological knowledge and methods of their processing for the improvement of the search procedures are considered. Examples of semantic search systems that use structured query languages (eg, SPARQL), lists of keywords and queries in natural language are proposed. Such criteria for the classification of semantic search engines like architecture, coupling, transparency, user context, modification requests, ontology structure, etc. are considered. Different ways of support of semantic and otology based modification of user queries that improve the completeness and accuracy of the search are analyzed. On base of analysis of the properties of existing semantic search engines in terms of these criteria, the areas for further improvement of these systems are selected: the development of metasearch systems, semantic modification of user requests, the determination of an user-acceptable transparency level of the search procedures, flexibility of domain knowledge management tools, increasing productivity and scalability. In addition, the development of means of semantic Web search needs in use of some external knowledge base which contains knowledge about the domain of user information needs, and in providing the users with the ability to independent selection of knowledge that is used in the search process. There is necessary to take into account the history of user interaction with the retrieval system and the search context for personalization of the query results and their ordering in accordance with the user information needs. All these aspects were taken into account in the design and implementation of semantic search engine "MAIPS" that is based on an ontological model of users and resources cooperation into the Web.


2010 ◽  
Author(s):  
Mohamed Husain ◽  
Amarjeet Singh ◽  
Manoj Kumar ◽  
Rakesh Ranjan

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