Authors: Rowlatt, Christopher F.; Chaplain, Mark A. J.; Hughes, David J.; Gillespie, Stephen H.; Dockrell, David H.; Johannessen, Ingolfur; Bowness, Ruth;

doi: 10.5281/zenodo.6514655 , 10.5281/zenodo.6514656

Dataset for the manuscript: Modelling the within-host spread of SARS-CoV-2 infection, and the subsequent immune response, using a hybrid, multiscale, individual-based model. Part I: Macrophages.

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Abstract

Dataset for the manuscript: Modelling the within-host spread of SARS-CoV-2 infection, and the subsequent immune response, using a hybrid, multiscale, individual-based model. Part I: Macrophages. preprint, bioRxiv, 2022. DOI: 10.1101/2022.05.06.490883 Each zip file contains the raw computational data (as a gzip compressed tarball), YAML input files, as well as Python plotting scripts. The Python plotting scripts have dependencies on the packages: tarfile, multiprocessing, numpy, scipy, and matplotlib. Note that the Python plotting scripts plot directly from the gzip compressed tarballs. The corresponding code can be found on GitHub: https://github.com/Ruth-Bowness-Group/CAModel

Related Organizations

University of Bath
United Kingdom
University of Edinburgh
United Kingdom
University of St Andrews
United Kingdom
Edinburgh Royal Infirmary
United Kingdom

Keywords

SARS-CoV-2, COVID-19, individual-based model, agent-based model, within-host modelling, viral infection, infectious diseases, immune response, type I interferon, macrophages.

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