readme.Rmd

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# Andrade et al (2024)

This repository contains code for the [paper](https://doi.org/10.1002/sdr.1775):

[Jair Andrade](https://jandraor.github.io/), Berend Beishuizen, Mart Stein, 
[Máire Connolly](https://www.universityofgalway.ie/our-research/people/health-sciences/maireconnolly/)
and [Jim Duggan](https://github.com/JimDuggan).
_Preparing for pandemic response in the context of limited resources_.

The analysis in this study can be reproduced by executing the files:

* **S1.rmd**
* **S2.rmd**
* **S3.rmd**

## Abstract

Pandemics are outbreaks of an infectious disease that increase morbidity and
mortality over a wide geographic area. These events require large-scale 
interventions from governments and health agencies to curtail transmission 
within a population. In assessing the impact of these interventions, 
policymakers avail themselves of simulations from compartmental models. 
However, it is commonplace that modellers employ fixed fractions to represent 
interventions, which implicitly assume that resources instantaneously and 
boundlessly adjust to the desired target and may predict overly optimistic 
outcomes. Here, we propose a model that integrates four crucial countermeasures
subject to resource constraints. We present this structure utilising the 
concept of small models and frame the simulations in the context of a 
hypothetical spread of influenza in the Netherlands, drawing on empirical data.
After incorporating resource constraints, we find that only a comprehensive 
response controls the disease. These findings highlight the need for improving
strategic plans to support pandemic preparedness.

## Resources

* [readsdr](https://github.com/jandraor/readsdr)