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  1. Article: The Apple Mobility Trends Data in Human Mobility Patterns during Restrictions and Prediction of COVID-19: A Systematic Review and Meta-Analysis.

    Strzelecki, Artur

    Healthcare (Basel, Switzerland)

    2022  Volume 10, Issue 12

    Abstract: The objective of this systematic review with PRISMA guidelines is to discover how population movement information has epidemiological implications for the spread of COVID-19. In November 2022, the Web of Science and Scopus databases were searched for ... ...

    Abstract The objective of this systematic review with PRISMA guidelines is to discover how population movement information has epidemiological implications for the spread of COVID-19. In November 2022, the Web of Science and Scopus databases were searched for relevant reports for the review. The inclusion criteria are: (1) the study uses data from Apple Mobility Trends Reports, (2) the context of the study is about COVID-19 mobility patterns, and (3) the report is published in a peer-reviewed venue in the form of an article or conference paper in English. The review included 35 studies in the period of 2020-2022. The main strategy used for data extraction in this review is a matrix proposal to present each study from a perspective of research objective and outcome, study context, country, time span, and conducted research method. We conclude by pointing out that these data are not often used in studies and it is better to study a single country instead of doing multiple-country research. We propose topic classifications for the context of the studies as transmission rate, transport policy, air quality, re-increased activities, economic activities, and financial markets.
    Language English
    Publishing date 2022-11-30
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2721009-1
    ISSN 2227-9032
    ISSN 2227-9032
    DOI 10.3390/healthcare10122425
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: The second worldwide wave of interest in coronavirus since the COVID-19 outbreaks in South Korea, Italy and Iran: A Google Trends study.

    Strzelecki, Artur

    Brain, behavior, and immunity

    2020  Volume 88, Page(s) 950–951

    MeSH term(s) Betacoronavirus ; COVID-19 ; China/epidemiology ; Coronavirus Infections/epidemiology ; Disease Outbreaks ; Humans ; Information Seeking Behavior ; Iran/epidemiology ; Italy/epidemiology ; Pandemics ; Pneumonia, Viral/epidemiology ; Republic of Korea/epidemiology ; SARS-CoV-2 ; Search Engine/trends
    Keywords covid19
    Language English
    Publishing date 2020-04-18
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 639219-2
    ISSN 1090-2139 ; 0889-1591
    ISSN (online) 1090-2139
    ISSN 0889-1591
    DOI 10.1016/j.bbi.2020.04.042
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2276: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 327: Show issues

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  3. Article ; Online: Google Medical Update: Why Is the Search Engine Decreasing Visibility of Health and Medical Information Websites?

    Strzelecki, Artur

    International journal of environmental research and public health

    2020  Volume 17, Issue 4

    Abstract: The Google search engine answers many health and medical information queries every day. People have become used to searching for this type of information. This paper presents a study which examined the visibility of health and medical information ... ...

    Abstract The Google search engine answers many health and medical information queries every day. People have become used to searching for this type of information. This paper presents a study which examined the visibility of health and medical information websites. The purpose of this study was to find out why Google is decreasing the visibility of such websites and how to measure this decrease. Since August 2018, Google has been more rigorously rating these websites, since they can potentially impact people's health. The method of the study was to collect data about the visibility of health and medical information websites in sequential time snapshots. Visibility consists of combined data of unique keywords, positions, and URL results. The sample under study was made up of 21 websites selected from 10 European countries. The findings reveal that in sequential time snapshots, search visibility decreased. The decrease was not dependent on the country or the language. The main reason why Google is decreasing the visibility of such websites is that they do not meet high ranking criteria.
    MeSH term(s) Delivery of Health Care ; Europe ; Internet ; Language ; Medicine ; Search Engine ; Text Messaging
    Language English
    Publishing date 2020-02-12
    Publishing country Switzerland
    Document type Journal Article
    ISSN 1660-4601
    ISSN (online) 1660-4601
    DOI 10.3390/ijerph17041160
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Google Medical Update

    Artur Strzelecki

    International Journal of Environmental Research and Public Health, Vol 17, Iss 4, p

    Why Is the Search Engine Decreasing Visibility of Health and Medical Information Websites?

    2020  Volume 1160

    Abstract: The Google search engine answers many health and medical information queries every day. People have become used to searching for this type of information. This paper presents a study which examined the visibility of health and medical information ... ...

    Abstract The Google search engine answers many health and medical information queries every day. People have become used to searching for this type of information. This paper presents a study which examined the visibility of health and medical information websites. The purpose of this study was to find out why Google is decreasing the visibility of such websites and how to measure this decrease. Since August 2018, Google has been more rigorously rating these websites, since they can potentially impact people’s health. The method of the study was to collect data about the visibility of health and medical information websites in sequential time snapshots. Visibility consists of combined data of unique keywords, positions, and URL results. The sample under study was made up of 21 websites selected from 10 European countries. The findings reveal that in sequential time snapshots, search visibility decreased. The decrease was not dependent on the country or the language. The main reason why Google is decreasing the visibility of such websites is that they do not meet high ranking criteria.
    Keywords google ; medical update ; health information websites ; search visibility ; search engine ; Medicine ; R
    Subject code 302
    Language English
    Publishing date 2020-02-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: The second worldwide wave of interest in coronavirus since the COVID-19 outbreaks in South Korea, Italy and Iran

    Strzelecki, Artur

    Brain, Behavior, and Immunity

    A Google Trends study

    2020  Volume 88, Page(s) 950–951

    Keywords Immunology ; Behavioral Neuroscience ; Endocrine and Autonomic Systems ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 639219-2
    ISSN 0889-1591
    ISSN 0889-1591
    DOI 10.1016/j.bbi.2020.04.042
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2276: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 327: Show issues

    Order via subito

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  7. Article ; Online: Google Web and Image Search Visibility Data for Online Store

    Artur Strzelecki

    Data, Vol 4, Iss 3, p

    2019  Volume 125

    Abstract: This data descriptor describes Google search engine visibility data. The visibility of a domain name in a search engine comes from search engine optimization and can be evaluated based on four data metrics and five data dimensions. The data metrics are ... ...

    Abstract This data descriptor describes Google search engine visibility data. The visibility of a domain name in a search engine comes from search engine optimization and can be evaluated based on four data metrics and five data dimensions. The data metrics are the following: Clicks volume (1), impressions volume (2), click-through ratio (3), and ranking position (4). Data dimensions are as follows: queries that are entered into search engines that trigger results with the researched domain name (1), page URLs from research domains which are available in the search engine results page (2), country of origin of search engine visitors (3), type of device used for the search (4), and date of the search (5). Search engine visibility data were obtained from the Google search console for the international online store, which is visible in 240 countries and territories for a period of 15 months. The data contain 123 K clicks and 4.86 M impressions for the web search and 22 K clicks and 9.07 M impressions for the image search. The proposed method for obtaining data can be applied in any other area, not only in the e-commerce industry.
    Keywords web search ; image search ; Google search visibility ; clicks ; impressions ; click-through ratio ; ranking position ; online store ; Bibliography. Library science. Information resources ; Z
    Subject code 303
    Language English
    Publishing date 2019-08-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    Inter-library loan at ZB MED

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  8. Article ; Online: Key Features of E-Tailer Shops in Adaptation to Cross-Border E-Commerce in the EU

    Artur Strzelecki

    Sustainability, Vol 11, Iss 6, p

    2019  Volume 1589

    Abstract: This study attempts to determine the most important features of e-tailer shops regarding their adaptation of cross-border e-commerce. The open market in the European Union (EU) encourages consumers to make cross-border purchases. The aim of the paper is ... ...

    Abstract This study attempts to determine the most important features of e-tailer shops regarding their adaptation of cross-border e-commerce. The open market in the European Union (EU) encourages consumers to make cross-border purchases. The aim of the paper is to determine which features are important for customers and should therefore be taken into consideration by e-tailers when providing their services. The paper is based on a study conducted in Poland. Polish e-commerce stores are broadening their market opportunities to other European countries. The study included 30 Polish e-tailers from the household goods sector (e.g., TVs, computers, washing machines, etc.). The theory is grounded in online shopping and website analysis. The author found that not all key features of e-tailer shops in the observed industry sector were developed in websites; some online shops lacked these features. A limitation is that the observation was conducted in only one country and industry sector. However, the sector studied represents the majority of online shops and the industry was the subject of the study. Research shows which features of online shops are important for customers who make cross-border e-commerce. Originality and contribution are based on the identification, analysis, and results of the features to adjust in the European cross-border e-commerce.
    Keywords e-commerce ; cross-border e-commerce ; online shopping ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 300
    Language English
    Publishing date 2019-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  9. Article: Trust, Media Credibility, Social Ties, and the Intention to Share towards Information Verification in an Age of Fake News.

    Majerczak, Przemysław / Strzelecki, Artur

    Behavioral sciences (Basel, Switzerland)

    2022  Volume 12, Issue 2

    Abstract: Social media is now the primary form of communication between internet users and has soared in popularity, which has directly impacted the spread of the phenomenon of fake news. Fake news is not only a widespread phenomenon; it is also problematic and ... ...

    Abstract Social media is now the primary form of communication between internet users and has soared in popularity, which has directly impacted the spread of the phenomenon of fake news. Fake news is not only a widespread phenomenon; it is also problematic and dangerous for society. The aim of this study is to understand the phenomenon of fake news better. The study utilised a structural modelling equation in order to identify how Polish society perceives the problem of fake news and assess the extent to which it trusts content that is published on the internet. The key goal was to determine what factors have the most significant influence on the verification of information being viewed on the internet. By deploying the partial least squares method of validation, SmartPLS3 software was used to process the survey results. The strongest positive effect on information verification behaviour was found to be fake news awareness, which was followed by the intention to share information. The research did not consider any clear connections that may exist between the nature of fake news and its recipient; however, much of the fake news that appears on the internet is political in nature. The study can be used by news reporting companies and provides preliminary information for developers responsible for running social media sites as well as users who want to combat and limit the spread of fake news online. This study expands on the available literature related to fake news by identifying the effects on information verification behaviour of fake news awareness and the intention to share data.
    Language English
    Publishing date 2022-02-16
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2651997-5
    ISSN 2076-328X
    ISSN 2076-328X
    DOI 10.3390/bs12020051
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Maximum generable interest: A universal standard for Google Trends search queries.

    Springer, Steffen / Strzelecki, Artur / Zieger, Michael

    Healthcare analytics (New York, N.Y.)

    2023  Volume 3, Page(s) 100158

    Abstract: The coronavirus or COVID-19 pandemic represents a health event with far-reaching global consequences, triggering a strong search interest in related topics on the Internet worldwide. The use of search engine data has become commonplace in research, but a ...

    Abstract The coronavirus or COVID-19 pandemic represents a health event with far-reaching global consequences, triggering a strong search interest in related topics on the Internet worldwide. The use of search engine data has become commonplace in research, but a universal standard for comparing different works is desirable to simplify the comparison. The coronavirus pandemic's enormous impact and media coverage have triggered an exceptionally high search interest. Consequently, the maximum generable interest (MGI) on coronavirus is proposed as a universal reference for objectifying and comparing relative search interest in the future. This search interest can be explored with search engine data such as Google Trends data. Additional standards for medium and low search volumes can also be used to reflect the search interest of topics at different levels. Size standards, such as reference to MGI, may help make research more comparable and better evaluate relative search volumes. This study presents a framework for this purpose using the example of stroke.
    Language English
    Publishing date 2023-03-09
    Publishing country United States
    Document type Journal Article
    ISSN 2772-4425
    ISSN (online) 2772-4425
    DOI 10.1016/j.health.2023.100158
    Database MEDical Literature Analysis and Retrieval System OnLINE

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