Ixa epi isolation

Overview

This project presents a general transmission model developed in ixa, the Center for Forecasting and Outbreak Analytics' agent-based modeling framework. The transmission model goal is to possess time-varying infectioussness, immunity, interventions, and multiple co-circulating pathogens.

How to run the model

As of 11/29/24, cargo run -- -c ./input/input.json -o ./output. There is an optional -f or --force-overwrite flag that can be passed to force overwriting of reports while in development/testing modes.

Base example

To recreate the input/people_test.csv population file used in the base example input/input.json, run Rscript scripts/create_synthetic_population.R, seeting the write variables to

R state_synth <- "WY" year_synth <- 2023 population_size <- 1000 school_per_pop_ratio <- 0.002 work_per_pop_ratio <- 0.1

Project Admin

William Koval (CDC/IOD/ORR/CFA), Chirag Kumar (CDC/IOD/ORR/CFA), and Guido Camargo España (CDC/IOD/ORR/CFA)

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