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Showing 881 - 900 results of 21,342 for search '(( significant point decrease ) OR ( ((significant decrease) OR (significant increase)) decrease ))', query time: 0.71s Refine Results
  1. 881
    Time course of best-corrected visual acuity (BCVA) in recurrence and non-recurrence groups.

    Time course of best-corrected visual acuity (BCVA) in recurrence and non-recurrence groups. by Yasuyuki Sotani (20114144)

    Published 2025
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  2. 882
    Summary of person-years, deaths, median age at death, crude mortality rates, age- and sex-standardised mortality rates (per 1,000 person-years), and standardised mortality ratios (SMR) for persons with suspected epilepsy (sPWE) and individuals without epilepsy (IWE) across counties, South Sudan.

    Summary of person-years, deaths, median age at death, crude mortality rates, age- and sex-standardised mortality rates (per 1,000 person-years), and standardised mortality ratios (... by Luís-Jorge Amaral (16406704)

    Published 2025
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  3. 883
    ZIP file containing the 3 datasets used during analysis: 1) Epilepsy suspected and mortality data; 2) Epilepsy confirmed data; 3) anti-Ov16 seroprevalence data per study site.

    ZIP file containing the 3 datasets used during analysis: 1) Epilepsy suspected and mortality data; 2) Epilepsy confirmed data; 3) anti-Ov16 seroprevalence data per study site. by Luís-Jorge Amaral (16406704)

    Published 2025
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  4. 884
    Relationship between age- and sex-standardised anti-Ov16 seroprevalence in children aged 3‒9 years and age- and sex-standardised confirmed prevalence of epilepsy (A) and probable nodding syndrome (B) across eight study sites in five counties of South Sudan.

    Relationship between age- and sex-standardised anti-Ov16 seroprevalence in children aged 3‒9 years and age- and sex-standardised confirmed prevalence of epilepsy (A) and probable n... by Luís-Jorge Amaral (16406704)

    Published 2025
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  5. 885
    Location of (A) South Sudan and (B) study counties (Maridi, Mundri East, Mundri West, Mvolo and Wulu).

    Location of (A) South Sudan and (B) study counties (Maridi, Mundri East, Mundri West, Mvolo and Wulu). by Luís-Jorge Amaral (16406704)

    Published 2025
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  6. 886
    Classification of study villages according to their distance from rivers with confirmed vector (<i>Simulium damnosum</i> sensu lato) breeding grounds for the five South Sudanese study counties.

    Classification of study villages according to their distance from rivers with confirmed vector (<i>Simulium damnosum</i> sensu lato) breeding grounds for the five South Sudanese st... by Luís-Jorge Amaral (16406704)

    Published 2025
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  7. 887
    Results of weighted arcsine-transformed linear regression of the age-and sex-standardised epilepsy prevalence (y) and age- and sex-standardised anti-Ov16 seroprevalence (x<sub>1</sub>, epilepsy model) and of age-and sex-standardised probable nodding syndrome prevalence (y) and age- and sex-standardised anti-Ov16 seroprevalence (x<sub>1</sub>, pNS model).

    Results of weighted arcsine-transformed linear regression of the age-and sex-standardised epilepsy prevalence (y) and age- and sex-standardised anti-Ov16 seroprevalence (x<sub>1</s... by Luís-Jorge Amaral (16406704)

    Published 2025
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  8. 888
    Epilepsy, including probable nodding syndrome (pNS), and pNS prevalence per study county in high- and low-risk sites in South Sudan.

    Epilepsy, including probable nodding syndrome (pNS), and pNS prevalence per study county in high- and low-risk sites in South Sudan. by Luís-Jorge Amaral (16406704)

    Published 2025
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  9. 889
    Graphs showing reproduction of selected South American annual case (a) and death (b) data using 1000 parameter sets drawn from post-burn-in distribution obtained from 4 Markov chains.

    Graphs showing reproduction of selected South American annual case (a) and death (b) data using 1000 parameter sets drawn from post-burn-in distribution obtained from 4 Markov chai... by Keith Fraser (1868587)

    Published 2024
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  10. 890
    Analysis of FROM dynamics (pre-epidemic).

    Analysis of FROM dynamics (pre-epidemic). by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  11. 891
    Analysis of FROM dynamics (post epidemic).

    Analysis of FROM dynamics (post epidemic). by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  12. 892
    Robustness check.

    Robustness check. by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  13. 893
    Third.

    Third. by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  14. 894
    Analysis of TO dynamics (in-epidemic).

    Analysis of TO dynamics (in-epidemic). by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  15. 895
    Analysis of TO dynamics (pre-epidemic).

    Analysis of TO dynamics (pre-epidemic). by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  16. 896
    Descriptive statistical analysis of the total sample.

    Descriptive statistical analysis of the total sample. by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  17. 897
    Second.

    Second. by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  18. 898
    Dynamics of net spillage in the first stage (pre-epidemic).

    Dynamics of net spillage in the first stage (pre-epidemic). by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  19. 899
    Dynamics of net spillage in the third stage (post epidemic).

    Dynamics of net spillage in the third stage (post epidemic). by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  20. 900
    Analysis of FROM dynamics (in-epidemic).

    Analysis of FROM dynamics (in-epidemic). by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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