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

Domain:

healthcareagriculture

Record type:

model
Creator:
MusMahTesKen
Host:avatar

Comparisons among fractions of infected cows for heterogeneous and homogenous networks for the upper range of β and a) k = 0.01 and b) k = 0.1.

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figshare.com

Tags

EcologyBiological Sciences not elsewhere classifiedworld livestock dataIndividual-based network modelRVFspreadlocationfactorRift Valley fever virusRift Valley fever+8

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CC BY 4.0

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Individual-based network model for Rift Valley fever in Kabale District, Uganda - Fig 8Individual-based network model for Rift Valley fever in Kabale District, Uganda - Fig 10Individual-based network model for Rift Valley fever in Kabale District, Uganda - Fig 11Supporting document- “individual-based network model for rift valley fever in Kabale District, Uganda”.Individual-Based Network Model for Rift Valley Fever in Kabale District, Uganda, to Guide Mitigation Measures: A One Health Model

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 11

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

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

This file contains all supporting figures and tables.

(DOCX)

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