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Showing 1 - 20 results of 30,414 for search '(((( i values decrease ) OR ( via large decrease ))) OR ( ((19 cases) OR (ktr cases)) increased ))*', query time: 0.93s Refine Results
  1. 1
    Increases in alert level and improved border measures resulted in decreases in secondary transmissions.

    Increases in alert level and improved border measures resulted in decreases in secondary transmissions. by Alex James (2916851)

    Published 2021
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  2. 2
    Simulated estimates of number of silicosis cases and annual tuberculosis (TB) cases at cumulative RCS distributions of increasing mean values.

    Simulated estimates of number of silicosis cases and annual tuberculosis (TB) cases at cumulative RCS distributions of increasing mean values. by Patrick Howlett (2612374)

    Published 2023
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  3. 3
    Number of cases found via active case finding (ACF) and passive case finding (PCF) in the IMPACT TB implementation districts in Nepal and Vietnam.

    Number of cases found via active case finding (ACF) and passive case finding (PCF) in the IMPACT TB implementation districts in Nepal and Vietnam. by Diepreye Victoria Ayabina (11719488)

    Published 2021
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  4. 4
    Parameters values for the baseline scenario correspond to the posterior median value <i>β</i><sub><i>base</i></sub> = 0.31, <i>ω</i><sub><i>base</i></sub> = 0.12, λ<sub><i>v</i>1</sub> = 0.00598, λ<sub><i>v</i>2</sub> = 0.032; <i>β</i> = 0.4, 0.5, and <i>ω</i> = 0.3, 0.5 were selected according to historical data in CA (see S6 Fig in S1 File).

    Parameters values for the baseline scenario correspond to the posterior median value <i>β</i><sub><i>base</i></sub> = 0.31, <i>ω</i><sub><i>base</i></sub> = 0.12, λ<sub><i>v</i>1</... by Maria L. Daza–Torres (12568896)

    Published 2022
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  5. 5
    Shows for fifty representative countries the predicted regression of the reciprocal of the rate of increase of the log of confirmed cases (CT<sup>-1</sup>) vs the median minimal temperature.

    Shows for fifty representative countries the predicted regression of the reciprocal of the rate of increase of the log of confirmed cases (CT<sup>-1</sup>) vs the median minimal te... by Adam Kaplin (10156481)

    Published 2021
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  6. 6
    Forecasts of cancer patients’ medical use (sex/ admission cases).

    Forecasts of cancer patients’ medical use (sex/ admission cases). by Jinah Sim (15140709)

    Published 2024
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  7. 7
    Forecasts of cancer patients’ medical use (cancer type/cases).

    Forecasts of cancer patients’ medical use (cancer type/cases). by Jinah Sim (15140709)

    Published 2024
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  8. 8
    Forecasts of cancer patients’ medical use (cancer type/cases).

    Forecasts of cancer patients’ medical use (cancer type/cases). by Jinah Sim (15140709)

    Published 2024
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  9. 9
    Forecasts of cancer patients’ medical use (age/admission cases).

    Forecasts of cancer patients’ medical use (age/admission cases). by Jinah Sim (15140709)

    Published 2024
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  10. 10
    Forecasts of cancer patients’ medical use and expenditure (income/admission cases).

    Forecasts of cancer patients’ medical use and expenditure (income/admission cases). by Jinah Sim (15140709)

    Published 2024
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  11. 11
    Forecasts of cancer patients’ medical use and expenditure (income/outpatient cases).

    Forecasts of cancer patients’ medical use and expenditure (income/outpatient cases). by Jinah Sim (15140709)

    Published 2024
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  12. 12
    <i>E</i> values weakly decrease with absolute latitude.

    <i>E</i> values weakly decrease with absolute latitude. by Dimitrios—Georgios Kontopoulos (9530566)

    Published 2020
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  13. 13
    <i>Effective reproduction number</i> (<i>R</i><sub><i>t</i></sub>) for Covid-19 in Brazil.

    <i>Effective reproduction number</i> (<i>R</i><sub><i>t</i></sub>) for Covid-19 in Brazil. by Hélder Seixas Lima (18840636)

    Published 2024
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  14. 14
    Age of patients according to the leishmaniasis clinical form in metropolitan France (n = 509; 8 missing data); red, mean ± standard deviation.

    Age of patients according to the leishmaniasis clinical form in metropolitan France (n = 509; 8 missing data); red, mean ± standard deviation. by Grégoire Pasquier (3317223)

    Published 2022
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  15. 15
    Spread of COVID-19 (difference in cases, rate increase, incremental rate increase, and transmission rate β by province).

    Spread of COVID-19 (difference in cases, rate increase, incremental rate increase, and transmission rate β by province). by Alessandra Buja (535536)

    Published 2020
    “…<p>Spread of COVID-19 (difference in cases, rate increase, incremental rate increase, and transmission rate β by province).…”
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  16. 16
    Reduced contact tracing efficiency with increasing cases leads to accelerating epidemics.

    Reduced contact tracing efficiency with increasing cases leads to accelerating epidemics. by Billy J. Gardner (10988034)

    Published 2021
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  17. 17
    <i>Stay-at-home index</i> (Δ<sub><i>H</i></sub>) reported for the Brazilian population during the Covid-19 pandemic.

    <i>Stay-at-home index</i> (Δ<sub><i>H</i></sub>) reported for the Brazilian population during the Covid-19 pandemic. by Hélder Seixas Lima (18840636)

    Published 2024
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  18. 18
    The continuous increase in the number of systemic lupus erythematosus cases in Brazil in the COVID-19 era

    The continuous increase in the number of systemic lupus erythematosus cases in Brazil in the COVID-19 era by Nelson Pereira MARQUES (16401689)

    Published 2023
    “…There was a consistent and significant increase in the incidence of SLE cases all over Brazil between the first and second pandemic years and between the pre-pandemic triennium and the second pandemic year. …”
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  19. 19
    Decreasing genome breadth of coverage in samples with high Cq values.

    Decreasing genome breadth of coverage in samples with high Cq values. by Paul Y. Kim (7491026)

    Published 2023
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  20. 20
    Population infected in case of increase in susceptibility.

    Population infected in case of increase in susceptibility. by Juliano Genari (13794299)

    Published 2022
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