Data from: Modelling vaccination strategies against Rift Valley fever in livestock in Kenya: model code

Gachohi JM, Njenga MK, Kitala PM, Bett BK

Date Published: January 5, 2017

DOI: http://dx.doi.org/10.5061/dryad.779rd

 

Files in this package

Content in the Dryad Digital Repository is offered "as is." By downloading files, you agree to the Dryad Terms of Service. To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data. CC0 (opens a new window) Open Data (opens a new window)

Title Gachohi et al RVF Model code
Downloaded 8 times
Description This code, implemented in R, is about simulating population dynamics of two species of mosquitoes namely Aedes and Culex and two livestock species namely cattle and sheep. Hosts are classified into four age groups (young, weaner, yearling and adult groups) while vectors are classified into eggs, larvae, pupae and adults. Transition rates govern the population dynamics. Further, the code simulates transmission dynamics of Rift Valley fever virus between the mosquitoes and the livestock. Mosquito growth is regulated by amounts of rainfall implicitly through probability functions - suitability function for Aedes and logistic distribution function for Culex. The code is used to simulate diverse policy-relevant interventions on the effectiveness of reactive and periodic Rift Valley fever vaccination strategies.
Download Gachohi et al RVF Model code.R (19.78 Kb)
Details View File Details
Title Modelling vaccination strategies against Rift Valley fever in livestock in Kenya: Precipitation data
Downloaded 8 times
Description This data contains precipitation data used to drive mosquito population growth. In the code, the rain is sourced as follows: Rain<-read.csv("D:\\RVF R model rain\\Rain.csv", header=TRUE) saved in D in a folder RVF R model rain under fie name Rain.csv. To import precipitation data, download the data from Dryad and save in your PC and import appropriately to run the model.
Download Rain.csv (187.0 Kb)
Details View File Details

When using this data, please cite the original publication:

Gachohi JM, Njenga MK, Kitala PM, Bett BK Modelling vaccination strategies against Rift Valley fever in livestock in Kenya: model code. PLOS Neglected Tropical Diseases 10(12): e0005049 http://dx.doi.org/10.1371/journal.pntd.0005049

Additionally, please cite the Dryad data package:

Gachohi JM, Njenga MK, Kitala PM, Bett BK (2016) Data from: Modelling vaccination strategies against Rift Valley fever in livestock in Kenya: model code. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.779rd
Cite | Share
Download the data package citation in the following formats:
   RIS (compatible with EndNote, Reference Manager, ProCite, RefWorks)
   BibTex (compatible with BibDesk, LaTeX)

Search for data

Be part of Dryad

We encourage organizations to: