Project Details
| Acronym | Using individual-based mathematical |
|---|---|
| Status | Finished |
| Effective start/end date | 1/03/18 → 30/09/21 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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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
Rowlatt, C. F., Chaplain, M. A. J., Hughes, D. J., Gillespie, S. H., Dockrell, D. H., Johannessen, I. & Bowness, R., 6 May 2022, bioRxiv, 35 p.Research output: Working paper › Preprint
Open Access -
How mechanistic in silico modelling can improve our understanding of TB disease and treatment
Pitcher, M. J., Dobson, S. A., Kelsey, T., Chaplain, M. A. J., Sloan, D. J., Gillespie, S. H. & Bowness, R., 1 Nov 2020, In: International Journal of Tuberculosis and Lung Disease. 24, 11, p. 1145-1150 6 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile
Datasets
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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.
Rowlatt, C. F. (Creator), Chaplain, M. A. J. (Creator), Hughes, D. J. (Creator), Gillespie, S. H. (Creator), Dockrell, D. H. (Creator), Johannessen, I. (Creator) & Bowness, R. (Creator), Zenodo, 2022
Dataset