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ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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Code and Data for "The Cost of Fungicide Resistance Evolution in Multi-Field Plant Epidemics"

Authors: Verma, Prateek; Mikaberidze, Alexey;

Code and Data for "The Cost of Fungicide Resistance Evolution in Multi-Field Plant Epidemics"

Abstract

Description:This repository contains the full codebase and data used to generate all figures and a few analytical analyses presented in the paper "The Cost of Fungicide Resistance Evolution in Multi-Field Plant Epidemics." The study develops a spatially implicit mathematical model of crop disease dynamics combined with economic analysis to estimate the indirect cost of fungicide resistance evolution to assist in designing sustainable agricultural policies. The code is organized by figure number and includes: MATLAB and Python scripts for model simulations, parameter exploration, and figure generation Supplementary symbolic computations for R_0, equilibrium points, and their stability Final figure files for direct reference and verification Software and Tools: MATLAB R2022b (including Symbolic Math Toolbox and Parallel Computing Toolbox) Python 3.8.5 Jupyter Notebook 6.1.4 Mathematica 13.1 (for analytical result verification) Reproducibility:Each folder contains instructions on how to reproduce the respective figure. Users can modify parameter values for customized analysis. Ensure the necessary dependencies are installed before running simulations. Contact:For questions or clarifications, please contact the corresponding author as listed in the manuscript.

Keywords

Fungicide resistance, Population dynamics, Epidemiology, Cost-benefit analysis, Sustainable agriculture, Agroeconomics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average