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mnmodel_adaptive's Introduction

Accompanying R code for the forthcoming publication

Sanstead et al., Adaptive COVID-19 Mitigation Strategies: Trade-Offs Between Trigger Thresholds, Response Timing, and Effectiveness, MDM Policy & Practice, 2023.

How to use:

First, go to COVID19pack/inst/make_package.R to install the COVID19 model package on your machine.

JKB Note: Open a new R session using the COVID19pack.Rproj I added within the CODIV19pack folder, and run make_package.R from there. To run the analysis scripts below, exit that RProj, open the COVID19_Trigger.RProj, and work from there.

The following scripts may be of interest:

  • The primary script that is used to run the base case scenarios A-F is Scenarios.R
  • To re-run model calibration, use the script calibABC.R
  • To run sensitivity analyses, use Sensitivity_Analysis.R

Some scripts may take a long time to run. Take care to set your working directory appropriately.

mnmodel_adaptive's People

Contributors

netterie avatar evaenns avatar

mnmodel_adaptive's Issues

Identify source data for p_inf_by_age

MNModel_Adaptive/COVID19pack/R/parameters.R

Lines 265 to 266 in 953a248

# Proportion of population in each age group
prop_inf_by_age <- c(0.08930854, 0.26353432, 0.15794502, 0.15717893, 0.14297132, 0.11012012, 0.04463342, 0.02264691, 0.01166143)

This parameter

image

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