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  1. Article ; Online: Representation of skin carcinomas in public awareness - Awareness worldwide and in Germany.

    Meinzenbach, Anne / Kaatz, Martin / Springer, Steffen / Zieger, Michael

    Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG

    2024  

    Abstract: Background and objectives: In recent years, there has been an increase in skin cancer. The aim of this study was therefore to investigate the representation of skin cancer in public awareness worldwide and in Germany, and to determine whether Skin ... ...

    Abstract Background and objectives: In recent years, there has been an increase in skin cancer. The aim of this study was therefore to investigate the representation of skin cancer in public awareness worldwide and in Germany, and to determine whether Skin Cancer Awareness Month is represented in the search interests of the Internet-using population in the same way as Breast Cancer Awareness Month worldwide.
    Data and methods: In this study, Google Trends data were used to track levels of public awareness for different tumor entities and skin cancer types worldwide and for Germany.
    Results: The results of this analysis clearly showed a high level of relative public search interest in breast cancer worldwide in the awareness month of October. Worldwide and in Germany, there was a certain increase in search interest and a certain seasonal effect around the May awareness month for skin cancer. For example, the analysis showed a search interest in May and during the summer months in Germany.
    Conclusions: It is likely that the population, for example in Germany, may benefit further from an even greater emphasis on the topic of skin cancer.
    Language English
    Publishing date 2024-04-21
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2093479-8
    ISSN 1610-0387 ; 1610-0379
    ISSN (online) 1610-0387
    ISSN 1610-0379
    DOI 10.1111/ddg.15406
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online ; Thesis: Untersuchung der Wundheilung mittels Multiphotonentomographie

    Springer, Steffen [Verfasser]

    2020  

    Author's details Steffen Springer
    Keywords Medizin, Gesundheit ; Medicine, Health
    Subject code sg610
    Language German
    Publisher Medizinische Fakultät Charité - Universitätsmedizin Berlin
    Publishing place Berlin
    Document type Book ; Online ; Thesis
    Database Digital theses on the web

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  3. 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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  4. Article ; Online: Maximum generable interest

    Steffen Springer / Artur Strzelecki / Michael Zieger

    Healthcare Analytics, Vol 3, Iss , Pp 100158- (2023)

    A universal standard for Google Trends search queries

    2023  

    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.
    Keywords Search engine data ; Google Trends ; Infodemiology ; Infoveillance ; Universal reference ; Maximum generable interest ; Computer applications to medicine. Medical informatics ; R858-859.7
    Subject code 303
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Representation of long COVID syndrome in the awareness of the population is revealed by Google Trends analysis.

    Kaatz, Martin / Springer, Steffen / Schubert, Roger / Zieger, Michael

    Brain, behavior, & immunity - health

    2022  Volume 22, Page(s) 100455

    Abstract: In some COVID-19 patients, symptoms persist for several weeks and sometimes, after the acute disease phase, these patients develop new symptoms, which then represents a transition into the so-called long COVID. The exact demarcation of the terms and ... ...

    Abstract In some COVID-19 patients, symptoms persist for several weeks and sometimes, after the acute disease phase, these patients develop new symptoms, which then represents a transition into the so-called long COVID. The exact demarcation of the terms and generally applicable definitions are still discussed, but the phenomenon is most commonly referred to as long COVID. In this study, Google Trends data have been used to track levels of public awareness for long COVID and some important symptoms during the course of the COVID-19 pandemic. The results of this analysis clearly demonstrate the public interest in the new topic of long COVID, as documented by a corresponding search volume. This is related to the disease COVID-19, which is being spread by the corona pandemic. Relevant symptoms for COVID-19 or long COVID, for example ageusia and anosmia, only started to receive more public attention during the pandemic. Therefore, Google Trends is a useful tool to demonstrate the population's awareness of certain infodemiological topics like long COVID.
    Language English
    Publishing date 2022-03-26
    Publishing country United States
    Document type Journal Article
    ISSN 2666-3546
    ISSN (online) 2666-3546
    DOI 10.1016/j.bbih.2022.100455
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Evaluation of weekly COVID-19 vaccination and case data supports negative correlation between incidence and vaccination in German federal states and cities during 4th wave.

    Springer, Steffen / Kaatz, Martin / Zieger, Michael

    Vaccine

    2022  Volume 40, Issue 22, Page(s) 2988–2992

    Abstract: Global efforts have been made to end the COVID-19 pandemic. Among other things, various vaccines against SARS-CoV-2, partly based on novel principles, have been developed internationally within a short time. While initially the hardly available vaccines ... ...

    Abstract Global efforts have been made to end the COVID-19 pandemic. Among other things, various vaccines against SARS-CoV-2, partly based on novel principles, have been developed internationally within a short time. While initially the hardly available vaccines were distributed according to criteria according to defined priorities, in Germany, after the prioritization has been lifted, attempts are being made to provide as many people as possible with vaccinations. The study examines the relationship between vaccination and incidence in 16 German federal states and city states using data from the Robert Koch Institute (RKI). Clear trends became apparent, showing a negative correlation between the vaccination rate and the infection incidence. This indicates that during the 4th corona wave in Germany, the lower the incidence, the higher the vaccination rate.
    MeSH term(s) COVID-19/epidemiology ; COVID-19/prevention & control ; COVID-19 Vaccines ; Cities/epidemiology ; Humans ; Incidence ; Pandemics/prevention & control ; SARS-CoV-2 ; Vaccination ; Vaccines
    Chemical Substances COVID-19 Vaccines ; Vaccines
    Language English
    Publishing date 2022-04-11
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 605674-x
    ISSN 1873-2518 ; 0264-410X
    ISSN (online) 1873-2518
    ISSN 0264-410X
    DOI 10.1016/j.vaccine.2022.04.015
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Influence of the COVID-19 pandemic measures on incidence and representation of other infectious diseases in Germany: a lesson to be learnt.

    Kaatz, Martin / Springer, Steffen / Zieger, Michael

    Zeitschrift fur Gesundheitswissenschaften = Journal of public health

    2022  , Page(s) 1–8

    Abstract: Aim: The COVID-19 pandemic resulted in a wide range of serious health, social and economic consequences. To counteract the pandemic, various measures and restrictions such as lockdowns, closures, social distancing, hygiene, and protective measures such ... ...

    Abstract Aim: The COVID-19 pandemic resulted in a wide range of serious health, social and economic consequences. To counteract the pandemic, various measures and restrictions such as lockdowns, closures, social distancing, hygiene, and protective measures such as wearing face masks have been enforced. Apart from the COVID-19 pandemic, these measures also had effects on other transmittable diseases. This study therefore determined the impact on case numbers and interest for other infectious diseases as well.
    Subject and methods: Anonymized data on reported case numbers from the German Robert Koch Institute and data from Google Trends about the search interest have been used in this study to track courses of infectious diseases before and during the coronavirus pandemic in Germany.
    Results: The results of this analysis clearly demonstrated that the case numbers of influenza, whooping cough, measles, mumps, scarlet fever and chicken pox decreased in the pandemic years, most probably due to anti-pandemic measures in Germany. Additionally, the Google Trends analysis demonstrated public awareness, documented by a corresponding search interest, for the new topic COVID-19 and for other infectious diseases.
    Conclusion: Online available data provided valuable sources for research purposes in infodemiology or infoveillance.
    Language English
    Publishing date 2022-07-09
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1149070-6
    ISSN 2198-1833 ; 0943-1853
    ISSN 2198-1833 ; 0943-1853
    DOI 10.1007/s10389-022-01731-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Public awareness for "classic" childhood diseases and inflammatory syndromes in children during the COVID-19 pandemic.

    Zieger, Michael / Strzelecki, Artur / Springer, Steffen

    Journal of pediatric nursing

    2022  Volume 66, Page(s) 191–195

    Abstract: Objectives: The objective was to analyze in silico public search interest during the COVID-19 pandemic for some classic infectious childhood diseases, e.g., measles, mumps, chickenpox, scarlet fever, and inflammatory diseases like Kawasaki disease and ... ...

    Abstract Objectives: The objective was to analyze in silico public search interest during the COVID-19 pandemic for some classic infectious childhood diseases, e.g., measles, mumps, chickenpox, scarlet fever, and inflammatory diseases like Kawasaki disease and the pediatric inflammatory multisystem syndrome (PIMS).
    Study design: In this study, a comparison of five childhood diseases in public search trends with the pediatric inflammatory multisystem syndrome was performed.
    Methods: Google Trends data for the period of five years for six childhood diseases were used. We used topics coverings all languages worldwide and all connected search queries.
    Results: Public search interest decreased during the COVID-19 pandemic for some classic infectious childhood diseases. Search interest for the pediatric inflammatory multisystem syndrome, despite strong indication of a connection with COVID-19, remained relatively low compared to Kawasaki disease.
    Practice implications: Better understanding of Google Trends can map public awareness of childhood diseases in terms of time course and search intensity.
    Conclusions: Public interest during the pandemic was generated for diseases with suspected connection to COVID-19, presumably due to media triggers.
    MeSH term(s) COVID-19/epidemiology ; Child ; Humans ; Mucocutaneous Lymph Node Syndrome ; Pandemics ; Syndrome ; Systemic Inflammatory Response Syndrome
    Language English
    Publishing date 2022-07-11
    Publishing country United States
    Document type Comparative Study ; Journal Article
    ZDB-ID 632731-x
    ISSN 1532-8449 ; 0882-5963
    ISSN (online) 1532-8449
    ISSN 0882-5963
    DOI 10.1016/j.pedn.2022.06.015
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Evaluation of weekly COVID-19 vaccination and case data supports negative correlation between incidence and vaccination in German federal states and cities during 4th wave

    Springer, Steffen / Kaatz, Martin / Zieger, Michael

    Vaccine. 2022 Apr. 04,

    2022  

    Abstract: Global efforts have been made to end the COVID-19 pandemic. Among other things, various vaccines against SARS-CoV-2, partly based on novel principles, have been developed internationally within a short time. While initially the hardly available vaccines ... ...

    Abstract Global efforts have been made to end the COVID-19 pandemic. Among other things, various vaccines against SARS-CoV-2, partly based on novel principles, have been developed internationally within a short time. While initially the hardly available vaccines were distributed according to criteria according to defined priorities, in Germany, after the prioritization has been lifted, attempts are being made to provide as many people as possible with vaccinations. The study examines the relationship between vaccination and incidence in 16 German federal states and city states using data from the Robert Koch Institute (RKI). Clear trends became apparent, showing a negative correlation between the vaccination rate and the infection incidence. This indicates that during the 4th corona wave in Germany, the lower the incidence, the higher the vaccination rate.
    Keywords COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; people ; prioritization ; vaccination ; vaccines ; Germany
    Language English
    Dates of publication 2022-0404
    Publishing place Elsevier Ltd
    Document type Article
    Note Pre-press version
    ZDB-ID 605674-x
    ISSN 1873-2518 ; 0264-410X
    ISSN (online) 1873-2518
    ISSN 0264-410X
    DOI 10.1016/j.vaccine.2022.04.015
    Database NAL-Catalogue (AGRICOLA)

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