Web app for: Pest Risk Reduction Scenario Tool (PRReSTo) for quantifying trade-related plant pest risks and benefits of risk-reducing measures

A Shiny web application accompanying: “Froese, JG, Murray, JV, Beeton, NJ and van Klinken, RD (2022). The Pest Risk Reduction Scenario Tool (PRReSTo) for quantifying trade-related plant pest risks and benefits of risk-reducing measures. Manuscript submitted for publication (epublish submission ID EP2022-3533).” The app supports a specific implementation of the generic PRReSTo method, which was parameterised for quantifying infestation rates of horticultural produce by insect pests that can be trapped. The app is provided as an open access service to facilitate adoption as a scenario analysis and decision-support tool by industry and regulators.\nLineage: The app was developed using Shiny and R