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Showing 41 - 60 results of 23,887 for search '(( significant decrease risk ) OR ( significant ((main decrease) OR (small decrease)) ))', query time: 1.37s Refine Results
  1. 41
    Main characteristics of the included studies.

    Main characteristics of the included studies. by Yau Adamu (18004386)

    Published 2024
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  2. 42
    The map of the study site in Jiangling County, Hubei Province, People’s Republic of China.

    The map of the study site in Jiangling County, Hubei Province, People’s Republic of China. by Jiaxin Feng (4926844)

    Published 2023
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  3. 43
    Changes in the prevalence of schistosomiasis infection in humans, livestock, and snails in Jiangling County from 2005 to 2021.

    Changes in the prevalence of schistosomiasis infection in humans, livestock, and snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  4. 44
    Global Moran’s <i>I</i> spatial autocorrelation analysis on average density of living snails in Jiangling County from 2005 to 2021.

    Global Moran’s <i>I</i> spatial autocorrelation analysis on average density of living snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  5. 45
    Local spatial autocorrelation analysis of the average density of living snails in Jiangling County from 2005 to 2021. The base layer of the figure in paper is from http://www.ngcc.cn/ngcc/ with credit to National Geomatics Center of China.

    Local spatial autocorrelation analysis of the average density of living snails in Jiangling County from 2005 to 2021. The base layer of the figure in paper is from http://www.ngcc.... by Jiaxin Feng (4926844)

    Published 2023
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  6. 46
    Results of Joinpoint model analysis on trends of schistosomiasis-related epidemic indicators in Jiangling County from 2005 to 2021.

    Results of Joinpoint model analysis on trends of schistosomiasis-related epidemic indicators in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  7. 47
    Fig 4 -

    Fig 4 - by Jiaxin Feng (4926844)

    Published 2023
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  8. 48
    Central and discrete trend changes for the average density of living snails in Jiangling County from 2005 to 2021. The base layer of the figure in paper is from http://www.ngcc.cn/ngcc/ with credit to National Geomatics Center of China.

    Central and discrete trend changes for the average density of living snails in Jiangling County from 2005 to 2021. The base layer of the figure in paper is from http://www.ngcc.cn/... by Jiaxin Feng (4926844)

    Published 2023
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  9. 49
    Distribution of hot spot areas for the average density of living snails in Jiangling County from 2005 to 2021.

    Distribution of hot spot areas for the average density of living snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  10. 50
    Investigation results of schistosomiasis in humans, livestock and investigation on snails in Jiangling County from 2005 to 2021.

    Investigation results of schistosomiasis in humans, livestock and investigation on snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  11. 51
    Analysis of kernal density for the average density of living snails in Jiangling County from 2005 to 2021.

    Analysis of kernal density for the average density of living snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  12. 52
    Changes in the average density of living snails and the occurrence rate of frames with snails in Jiangling County from 2005 to 2021.

    Changes in the average density of living snails and the occurrence rate of frames with snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  13. 53
    Risk of bias graph.

    Risk of bias graph. by Mingkun Yu (465162)

    Published 2023
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  14. 54
    Occupational injuries among study participants.

    Occupational injuries among study participants. by Felix Agyemang Opoku (18272156)

    Published 2024
    Subjects: “…deemed statistically significant…”
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  15. 55
    Demographic and work-related characteristics of study participants.

    Demographic and work-related characteristics of study participants. by Felix Agyemang Opoku (18272156)

    Published 2024
    Subjects: “…deemed statistically significant…”
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  16. 56
    S1 Dataset -

    S1 Dataset - by Felix Agyemang Opoku (18272156)

    Published 2024
    Subjects: “…deemed statistically significant…”
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  17. 57
    Factors associated with occupational injuries among study participants.

    Factors associated with occupational injuries among study participants. by Felix Agyemang Opoku (18272156)

    Published 2024
    Subjects: “…deemed statistically significant…”
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  18. 58
    Image_1_Future Meteorological Droughts in Ecuador: Decreasing Trends and Associated Spatio-Temporal Features Derived From CMIP5 Models.tiff

    Image_1_Future Meteorological Droughts in Ecuador: Decreasing Trends and Associated Spatio-Temporal Features Derived From CMIP5 Models.tiff by Lenin Campozano (8502747)

    Published 2020
    “…Extreme droughts showed small and statistically non-significant decreases. …”
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  19. 59
    Image_2_Future Meteorological Droughts in Ecuador: Decreasing Trends and Associated Spatio-Temporal Features Derived From CMIP5 Models.tiff

    Image_2_Future Meteorological Droughts in Ecuador: Decreasing Trends and Associated Spatio-Temporal Features Derived From CMIP5 Models.tiff by Lenin Campozano (8502747)

    Published 2020
    “…Extreme droughts showed small and statistically non-significant decreases. …”
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  20. 60
    SLE decreases risk for hormonal cancers.

    SLE decreases risk for hormonal cancers. by Deborah K. Johnson (10001156)

    Published 2021
    “…(a) Breast cancer incidence in female SLE cohort is significantly decreased by SLE status (OR 0.52, 95% CI 0.35, 0.74, p = 0.0036). …”
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