Reproducibility of COVID-era infectious disease models.

Autor:	Henderson AS; Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, Australia. Electronic address: alec.henderson@jcu.edu.au., Hickson RI; Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, Australia; College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Australia; Commonwealth Scientific Industrial Research Organisation (CSIRO), Townsville, Australia., Furlong M; Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, Australia., McBryde ES; Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, Australia., Meehan MT; Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, Australia; College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Australia.
Jazyk:	angličtina
Zdroj:	Epidemics [Epidemics] 2024 Mar; Vol. 46, pp. 100743. Date of Electronic Publication: 2024 Jan 23.
DOI:	10.1016/j.epidem.2024.100743
Abstrakt:	Infectious disease modelling has been prominent throughout the COVID-19 pandemic, helping to understand the virus' transmission dynamics and inform response policies. Given their potential importance and translational impact, we evaluated the computational reproducibility of infectious disease modelling articles from the COVID era. We found that four out of 100 randomly sampled studies released between January 2020 and August 2022 could be completely computationally reproduced using the resources provided (e.g., code, data, instructions) whilst a further eight were partially reproducible. For the 100 most highly cited articles from the same period we found that 11 were completely reproducible with a further 22 partially reproducible. Reflecting on our experience, we discuss common issues affecting computational reproducibility and how these might be addressed. Competing Interests: Declaration of competing interest The authors acknowledge that a number of their own articles were eligible for inclusion in the current study. Although none were selected (through either randomisation or citation count), very few are likely to have been computationally reproducible. (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)
Databáze:	MEDLINE
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