Computational reproducibility is an important part of any computational science as the paper is typically a summarised version of the experiments with the traditional methods section insufficient for a reader to reproduce the results. Often, critical details relating to data pre-processing through to simulation are described imprecisely, and can only be uncovered by analysing code.
Alec S. Henderson, Roslyn I. Hickson, Morgan Furlong, Emma S. McBryde and Michael T. Meehan


To assess the computational reproducibility of COVID-19 infectious disease modeling articles due to their potential significance and translational impact.


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First published: Feb 10, 2024
The Australian Institute of Tropical Health and Medicine (AITHM)
The [Infectious Disease Modelling and Epidemiology Group](, at the [ Australian Institute of Tropical Health and Medicine (AITHM)](, is dedicated to examining and quantifying the dynamics of infectious diseases of interest to our community in Tropical Northern Australia, the Ind-Pacific Region, and the world. We build models aimed at improved understanding of disease processes and public health policy decision support.