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Showing 801 - 820 results of 3,491 for search 'significant ((((((teer decrease) OR (greatest decrease))) OR (nn decrease))) OR (mean decrease))', query time: 0.60s Refine Results
  1. 801
    Trends of monthly, seasonal and annual rainfall (mm/year) in Wollo (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.440657,0.000000,3.00).

    Trends of monthly, seasonal and annual rainfall (mm/year) in Wollo (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.4... by Asnake Adane (19935018)

    Published 2025
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  2. 802
    Seasonal standardized rainfall anomaly (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.440657,0.000000,3.00).

    Seasonal standardized rainfall anomaly (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.440657,0.000000,3.00). by Asnake Adane (19935018)

    Published 2025
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  3. 803
    African catfish intervention sites, snail sampling sites and local primary schools in Chifunfu (A), Kahumulo (B) and Sweya (C).

    African catfish intervention sites, snail sampling sites and local primary schools in Chifunfu (A), Kahumulo (B) and Sweya (C). by Roland Proud (11764892)

    Published 2025
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  4. 804
    Innovative trend analysis of MAM rainfall (1981–2022).

    Innovative trend analysis of MAM rainfall (1981–2022). by Asnake Adane (19935018)

    Published 2025
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  5. 805
    Coefficient of variation (CV) monthly rainfall in Wollo (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.440657,0.000000,3.00) seasonal rainfall variability.

    Coefficient of variation (CV) monthly rainfall in Wollo (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.440657,0.000... by Asnake Adane (19935018)

    Published 2025
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  6. 806
    R script used for modelling analyses.

    R script used for modelling analyses. by Roland Proud (11764892)

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  7. 807
    Map showing study region (southern shores of Lake Victoria, Tanzania).

    Map showing study region (southern shores of Lake Victoria, Tanzania). by Roland Proud (11764892)

    Published 2025
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  8. 808
    Characteristics of in-situ meteorological stations.

    Characteristics of in-situ meteorological stations. by Asnake Adane (19935018)

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  9. 809
    Location of the study area in Ethiopia (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.440657,0.000000,3.00).

    Location of the study area in Ethiopia (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.440657,0.000000,3.00). by Asnake Adane (19935018)

    Published 2025
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  10. 810
    Snail count data.

    Snail count data. by Roland Proud (11764892)

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  11. 811
    Fig 3 -

    Fig 3 - by Asnake Adane (19935018)

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  12. 812
    Human parasitology infection intensity data.

    Human parasitology infection intensity data. by Roland Proud (11764892)

    Published 2025
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  13. 813
    R(lag-1) values for serial correlation test (limits are 0.28 and -0.28).

    R(lag-1) values for serial correlation test (limits are 0.28 and -0.28). by Asnake Adane (19935018)

    Published 2025
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  14. 814
    Innovative trend analysis of JJA rainfall (1981–2022).

    Innovative trend analysis of JJA rainfall (1981–2022). by Asnake Adane (19935018)

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  15. 815
    Human parasitology prevalence data.

    Human parasitology prevalence data. by Roland Proud (11764892)

    Published 2025
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  16. 816
    Innovative trend analysis of annual rainfall (1981–2022).

    Innovative trend analysis of annual rainfall (1981–2022). by Asnake Adane (19935018)

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  17. 817
    Predictors used in the modelling analysis. The ‘Snail count’ model refers to the Generalised Linear Mixed Model (GLMM) used to model snail counts, ‘Prevalence’ refers to the disease prevalence models, ‘Egg count’ refers to the GLMM used to model infection intensity (egg count) in school-aged children (SAC) stools. Some models included a zero-inflation (zi) component to account for excess zeros. A single tick (✓) indicates that the predictor was included in the main (conditional) component of the model; a double tick (✓✓) indicates inclusion in both the conditional and zero-inflation components.

    Predictors used in the modelling analysis. The ‘Snail count’ model refers to the Generalised Linear Mixed Model (GLMM) used to model snail counts, ‘Prevalence’ refers to the diseas... by Roland Proud (11764892)

    Published 2025
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  18. 818
    Monthly, seasonal and annual distribution of rainfall in Wollo (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.440657,0.000000,3.00).

    Monthly, seasonal and annual distribution of rainfall in Wollo (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.44065... by Asnake Adane (19935018)

    Published 2025
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  19. 819
    Innovative trend analysis of SON rainfall (1981–2022).

    Innovative trend analysis of SON rainfall (1981–2022). by Asnake Adane (19935018)

    Published 2025
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  20. 820
    Coefficient of variation (CV) seasonal rainfall in Wollo (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.440657,0.000000,3.00).

    Coefficient of variation (CV) seasonal rainfall in Wollo (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.440657,0.00... by Asnake Adane (19935018)

    Published 2025
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