Individual-based network model for Rift Valley fever in Kabale District, Uganda - Fig 11

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healthcareagriculture

Record type:

model

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MusMahTesKen

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Fraction of cows in each compartment with a 95 percent confidence interval for β = 0.001 (top left), 0.005 (top right), 0.01 (bottom left), and 0.03 (bottom right) and for heterogeneous network; increasing β showed an increasing trend in the overall fractions of recovered (cumulative fractions of infected) which reaches to almost 1 for β = 0.03.

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Individual-based network model for Rift Valley fever in Kabale District, Uganda - Fig 8

Comparisons among fractions of infected cows for heterogeneous and homogenous networks for lower

Individual-based network model for Rift Valley fever in Kabale District, Uganda - Fig 10

Fraction of cows in each compartment with a 95 percent confidence interval for β = 0.001 (

Individual-based network model for Rift Valley fever in Kabale District, Uganda - Fig 9

Comparisons among fractions of infected cows for heterogeneous and homogenous netwo

Supporting document- “individual-based network model for rift valley fever in Kabale District, Uganda”.

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Individual-Based Network Model for Rift Valley Fever in Kabale District, Uganda, to Guide Mitigation Measures: A One Health Model

Abstract Rift Valley fever (RVF) is a zoonotic disease which ca