ArticleRoyal Society open science2025
Predicting the effect of landscape structure on epidemic invasion using an analytical estimate for infection rate.
Article in Royal Society open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Modelling plant disease spread via high-resolution human mobility networks.Journal of the Royal Society, Interface · 2026Article
- Fitting a lattice model with local and global transmission to spread of a plant disease.PLoS computational biology · 2026Article
- Optimizing crop clustering to minimize pathogen invasion in agriculture.Scientific reports · 2025Article
- Where to refine spatial data to improve accuracy in crop disease modelling: an analytical approach with examples for cassava.Royal Society open science · 2025Article
- Predicting the effect of landscape structure on epidemic invasion using an analytical estimate for infection rate.Royal Society open science · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The influence of landscape structure on epidemic invasion of agricultural crops is often underestimated in the construction and analysis of epidemiological models. Computer simulations of individual-based models (IBMs) are widely used to characterize disease spread under different management scenarios but can be slow in exploring large numbers of different landscape configurations. Here, we address the problem of finding an analytical measure of the impact of the spatial structure of a crop landscape on the invasion and spread of plant pathogens. We explore the potential of using an analytical approximation for the rate,
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Registered trials
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