Tools and Resources

This page gathers software, apps, and learning resources connected to my work in quantitative plant disease epidemiology.

R packages

epifitter

epifitter is an R package for analysis and simulation of plant disease progress curves. It supports model fitting, comparison of epidemic trajectories, and teaching or applied analysis involving temporal disease dynamics.

ec50estimator

ec50estimator provides an automated workflow for estimating EC50 values from stratified multi-isolate dose-response datasets. It is designed to make fungicide sensitivity analysis faster, clearer, and easier to reproduce.

Interactive apps

Rusty Profits

An interactive app inspired by my work on fungicide profitability for soybean rust management in Brazil. It helps users explore how fungicide costs, soybean prices, and control efficacy affect economic outcomes.

simDPC

A teaching and exploration app for simulating disease progress curves. It is useful for understanding temporal epidemic behavior and comparing model assumptions in plant disease epidemiology.

epidemioBR

A community-oriented app that helps users discover members of the Brazilian epidemiology community and strengthen professional connections across the country.

BSPcast

BSPcast is a forecasting interface originally developed around weather-based risk prediction for Stemphylium leaf blight of onion. It reflects my interest in translating epidemiological models into practical decision-support tools.

Tutorials and outreach

Videos

What connects these resources

The common thread across these tools is practical quantitative plant health. Whether the goal is teaching, reproducible analysis, or field-ready risk support, I aim to build resources that make epidemiological reasoning more accessible and more useful.