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Showing 1 - 20 results of 625 for search '(( third quarter decrease ) OR ( _ largest decrease ))', query time: 0.27s Refine Results
  1. 1
    Shares of antibiotic substances on total prescription by quarter from 2013 to 2019 for female and male patients with UTI (N39.0, N30.0)(female: n = 1.681.255 prescriptions; male: n = 269.151prescriptions).

    Shares of antibiotic substances on total prescription by quarter from 2013 to 2019 for female and male patients with UTI (N39.0, N30.0)(female: n = 1.681.255 prescriptions; male: n... by Thomas Hanslmeier (19949694)

    Published 2024
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  2. 2
    Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19.

    Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

    Published 2025
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  3. 3
    Shares of antibiotic substances on total prescription in UTI treatment (N39.0, N30.0) by sex and age group in 2019 (female: n = 238.670 prescriptions; male: n = 40.641 prescriptions).

    Shares of antibiotic substances on total prescription in UTI treatment (N39.0, N30.0) by sex and age group in 2019 (female: n = 238.670 prescriptions; male: n = 40.641 prescription... by Thomas Hanslmeier (19949694)

    Published 2024
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  4. 4
    Shares of specialist groups prescribing 1<sup>st</sup>, 2<sup>nd</sup>, and 3<sup>rd</sup> antibiotic prescriptions in UTI treatment of females (N39.0, N30.0) in 2018 and 2019.

    Shares of specialist groups prescribing 1<sup>st</sup>, 2<sup>nd</sup>, and 3<sup>rd</sup> antibiotic prescriptions in UTI treatment of females (N39.0, N30.0) in 2018 and 2019. by Thomas Hanslmeier (19949694)

    Published 2024
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  5. 5
    Number of antibiotic prescriptions in female and male patients with UTI (N30.0 and/or N39.0).

    Number of antibiotic prescriptions in female and male patients with UTI (N30.0 and/or N39.0). by Thomas Hanslmeier (19949694)

    Published 2024
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  6. 6
    Shares of antibiotic substances on total prescription in female patients with UTI (N39.0, N30.0) by physician specialties (GPs: n = 1.299.641 prescriptions; gynecologists n = 141.814 prescriptions; urologists n = 182.100 prescriptions).

    Shares of antibiotic substances on total prescription in female patients with UTI (N39.0, N30.0) by physician specialties (GPs: n = 1.299.641 prescriptions; gynecologists n = 141.8... by Thomas Hanslmeier (19949694)

    Published 2024
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  7. 7
    Comparison of 1<sup>st</sup>, 2<sup>nd</sup>, and 3<sup>rd</sup> antibiotic prescription.

    Comparison of 1<sup>st</sup>, 2<sup>nd</sup>, and 3<sup>rd</sup> antibiotic prescription. by Thomas Hanslmeier (19949694)

    Published 2024
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  8. 8
    UTI diagnoses by sex and physician specialty (2013–2019).

    UTI diagnoses by sex and physician specialty (2013–2019). by Thomas Hanslmeier (19949694)

    Published 2024
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  9. 9
    The top 10 putative metabolites with the largest negative fold change between normal and thin cows.

    The top 10 putative metabolites with the largest negative fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

    Published 2025
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  10. 10
    The top 10 putative metabolites with the largest positive fold change between normal and thin cows.

    The top 10 putative metabolites with the largest positive fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

    Published 2025
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  11. 11
    Selection frequencies plotted in decreasing order.

    Selection frequencies plotted in decreasing order. by Hannah P. Rowe (7830599)

    Published 2025
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  12. 12
    Average change in trust in science by country (n = 10,000).

    Average change in trust in science by country (n = 10,000). by Alain Abi-Rizk (8549358)

    Published 2025
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  13. 13
    Trust change by gender.

    Trust change by gender. by Alain Abi-Rizk (8549358)

    Published 2025
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  14. 14
    Trust change by age group.

    Trust change by age group. by Alain Abi-Rizk (8549358)

    Published 2025
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  15. 15
    Multiple linear regression analysis of trust change predictors.

    Multiple linear regression analysis of trust change predictors. by Alain Abi-Rizk (8549358)

    Published 2025
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  16. 16
    Distribution of individual change in trust in science before and after the pandemic (n = 10,000).

    Distribution of individual change in trust in science before and after the pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

    Published 2025
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  17. 17
    Trust change by education level.

    Trust change by education level. by Alain Abi-Rizk (8549358)

    Published 2025
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  18. 18
    Trust change by source of science information.

    Trust change by source of science information. by Alain Abi-Rizk (8549358)

    Published 2025
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  19. 19
    Post-pandemic trust in science survey.

    Post-pandemic trust in science survey. by Alain Abi-Rizk (8549358)

    Published 2025
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  20. 20
    Trust levels before and after the COVID-19 pandemic (n = 10,000).

    Trust levels before and after the COVID-19 pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

    Published 2025
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