Data

Tools

Indexes

Applications

Experiments

Open Source Science

sensitivity-analysis-rvfv

R Code for the sensitivity analysis of RVFV

https://github.com/jfurber/sensitivity-analysis-rvfv

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (3.7%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

R Code for the sensitivity analysis of RVFV

Basic Info
  • Host: GitHub
  • Owner: JFurber
  • License: gpl-3.0
  • Language: R
  • Default Branch: main
  • Homepage:
  • Size: 104 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed 12 months ago
Metadata Files
Readme License Citation

README.md

Sensitivity Analysis - Rift Valley Fever Virus

This analysis and code was started by Sophie North (University of Surrey) in 2023, and developed further and completed by Jessica Furber in 2025 for the sensitivity analysis of four parameters in a RVFV model developed by Lo. Iacono et al. [1], when the virus is not present.

The four parameters considered are:

  • $\mathcal{A}$: Typical area scanned by mosquitoes flyers looking for oviposition sites.
  • $\kappa$: The proportion of the water body area/soil that female adult mosquitoes, lays eggs on.
  • $b$: The number of eggs laid per batch by female adults.
  • $\rho$: The maximum density of eggs in the water body for mosquitoes to lay eggs.

Further, we firstly consider constant values for the air temperature, water body areas and livestock numbers (values that are brought into the model using empirical data). Though we do vary the values of air temperature, water body areas, and a parameter in the model denoted as $p_f$ (detection probability) for a low, medium and high value to compare the effects on the four sensitive parameters we are investigating. Secondly, we consider periodic functions for the air temperature and water body areas.

The code has been created in R, version 4.4.3.

[1] G. L. Iacono, A. A. Cunningham, B. Bett, D. Grace, D. W. Redding, and J. L. N. Wood, “Environmental limits of Rift Valley fever revealed using ecoepidemiological mechanistic models,” Proceedings of the National Academy of Sciences of the United States of America, vol. 115,pp. E7448–E7456, July 2018.

Owner

  • Login: JFurber
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Furber"
  given-names: "Jessica Rachel"
  orcid: "https://orcid.org/0009-0008-4003-7920"
- family-names: "North"
  given-names: "Sophie"
- family-names: "Lo Iacono"
  given-names: "Giovanni"
  orcid: "https://orcid.org/0000-0002-6150-2843"
title: "Sensitivity analysis for an ecoepidemiological model of Rift Valley fever virus transmission"
version: 1.0
doi: 
date-released: 
url: "https://github.com/JFurber/Sensitivity-Analysis-RVFV"

GitHub Events

Total
  • Public event: 1
  • Push event: 10
Last Year
  • Public event: 1
  • Push event: 10