https://github.com/ecodynizw/scherer_2020_oikos

"Moving infections: individual movement decisions drive disease persistence in spatially structured landscapes"
https://github.com/ecodynizw/scherer_2020_oikos

agent-based-modeling animal-movement csf disease disease-spread netlogo rstats spatially-explicit-models wild-boar

Last synced: 26 days ago
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"Moving infections: individual movement decisions drive disease persistence in spatially structured landscapes"

• Host: GitHub
• URL: https://github.com/ecodynizw/scherer_2020_oikos
• Owner: EcoDynIZW
• Created: 2019-03-22T09:54:49.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2021-11-11T14:14:36.000Z (about 3 years ago)
• Last Synced: 2024-11-06T17:38:22.854Z (2 months ago)
• Topics: agent-based-modeling, animal-movement, csf, disease, disease-spread, netlogo, rstats, spatially-explicit-models, wild-boar
• Language: NetLogo
• Homepage: https://doi.org/10.1111/oik.07002
• Size: 18.4 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Scherer et al. 2020 *OIKOS* SwiFCoIBMove

[![DOI](https://zenodo.org/badge/177115379.svg)](https://zenodo.org/badge/latestdoi/177115379)  

> **Cédric Scherer**, **Viktoriia Radchuk**, **Mathias Franz**, Hans‐Hermann Thulke, Martin Lange, Volker Grimm & **Stephanie Kramer‐Schadt** (2020) Moving infections: individual movement decisions drive disease persistence in spatially structured landscapes. *Oikos* 129 (5):651–667. DOI: [10.1111/oik.07002](https://doi.org/10.1111/oik.07002)

The spatially explicit agent‐based eco‐epidemiological model is based on the study by [Kramer-Schadt et al. (2009)](https://doi.org/10.1111/j.1600-0706.2008.16582.x) and subsequent modifications by [Lange et al. (2012)](https://doi.org/10.1186/1297-9716-43-37). In the original model transmission is based on nearest‐neighbour group mixing processes, where infection pressure within and between neighbouring groups is based on constant transmission probabilities without movement of the host individuals. The modified version presented here assumes explicit phenomenological, fully imposed movement patterns and mechanistic movement based on individual decisions of hosts. In the paper we present essential parts of the model necessary for understanding model outcomes. The full model description following the overview, design concepts and details (‘ODD’) protocol (Grimm et al. 2006, 2010) is provided in the Supplementary material Appendix 1. The NetLogo model and the R code to analyse the simulation results are available on [Zenodo (Scherer et al. 2019)](https://doi.org/10.5281/zenodo.3608109).